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Neural Network Software
Neural network software uses algorithms to simulate the human brain's ability to recognize patterns. It can be used for a variety of purposes, such as image and voice recognition, natural language processing, and decision making. The software is typically composed of a number of layers that contain parameters which are adjusted through training. Finally, it can be applied in various areas such as healthcare, finance, engineering and more.
Neural Search Software
Neural search software is a type of artificial intelligence technology that uses deep learning algorithms to help users find relevant information. It works by understanding the user's query and analysis language, context, and relationships between data points. Neural search is becoming more popular due its ability to provide fast and accurate results. The technology has numerous potential applications across a variety of industries.
NPS Software
NPS software helps businesses measure customer loyalty by collecting and analyzing Net Promoter Score (NPS) feedback. It automates the process of sending surveys, tracking responses, and segmenting promoters, passives, and detractors. Many platforms include real-time dashboards, sentiment analysis, and trend reporting to help teams understand customer satisfaction over time. The software also integrates with CRM and support systems to trigger follow-ups and improve customer retention. Overall, NPS software enables companies to monitor customer sentiment, respond to issues quickly, and strengthen long-term relationships.
Emissions Management Software
Emissions management software helps organizations monitor, track, and report their greenhouse gas emissions and environmental impact to comply with regulations and support sustainability goals. It collects data from various sources such as energy use, transportation, and industrial processes, providing analytics to identify emission trends and reduction opportunities. The software often includes tools for regulatory reporting, carbon accounting, and scenario modeling to help businesses plan and implement emission reduction strategies. By automating data collection and reporting, it improves accuracy, transparency, and decision-making. Ultimately, emissions management software supports organizations in minimizing their carbon footprint and enhancing environmental responsibility.
Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Parks and Recreation Software
Parks and recreation software helps municipalities, community centers, and parks departments manage facilities, programs, and public services. It supports scheduling for classes, camps, sports leagues, and events while handling registrations, payments, and waitlists. Many platforms include facility booking, membership management, and staff scheduling to streamline daily operations. The software often provides online portals for residents to register for activities, reserve spaces, and access community updates. Overall, parks and recreation software improves efficiency, enhances community engagement, and helps local agencies deliver better recreational services.
Land Management Software
Land management software helps organizations, governments, and landowners efficiently manage property assets, land use, and related data throughout the land lifecycle. It centralizes information on ownership, leases, boundaries, zoning, resources, and environmental factors in one digital platform. These systems often integrate with GIS (Geographic Information Systems), mapping tools, and satellite data for visualization and spatial analysis. Land management software supports decision-making in areas such as real estate, agriculture, mining, utilities, and conservation by improving accuracy, compliance, and resource allocation. By digitizing land records and automating administrative workflows, it enhances transparency, sustainability, and long-term land stewardship.
Natural Language Processing Software
Natural language processing (NLP) software analyzes both written and spoken human languages and interprets them for translation, deep learning and automation purposes. Natural language processing software may also include natural language understanding (NLU) capabilities.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
Intranet Software
Intranet software is used to create online networks within a company or organization. It allows users from different departments to collaborate on projects, store and share documents, access information, and communicate with one another. Intranets can be accessed through a web browser with a secure username and password. They offer various features such as wikis, blogs, chat rooms, forums and other tools that make it easy for employees to work together in a virtual workspace.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Chiropractic Software
Chiropractic software is designed to help chiropractic practices manage their day-to-day operations, including patient scheduling, medical records, billing, and practice management. These platforms typically include features such as electronic health records (EHR), patient intake forms, treatment planning, and progress tracking. Chiropractic software often integrates with billing systems to ensure accurate insurance claims and payments, as well as appointment reminders and communication tools for patients. By using this software, chiropractic clinics can streamline administrative tasks, improve patient care, and increase overall practice efficiency.
Time and Expense Software
Time and expense software helps businesses efficiently track employee work hours and associated expenses for projects and operations. This software allows users to log time entries, categorize expenses, and automate approvals, providing transparency and control over budgeting. With real-time dashboards and reporting, managers can monitor costs, track project timelines, and optimize resource allocation. Many time and expense tools integrate with payroll and accounting systems, streamlining financial management and reducing manual entry errors. Overall, these solutions improve accuracy, save time, and support compliance with billing and reimbursement policies.
Ad Networks
Ad networks are platforms that connect advertisers with publishers to facilitate the buying and selling of ad inventory. They aggregate ad space from various publishers and offer it to advertisers who want to reach targeted audiences. Ad networks use algorithms to match advertisers’ campaigns with available ad space based on factors like audience demographics, interests, and browsing behavior. They help streamline the ad-buying process by managing inventory, optimizing bids, and ensuring ads are delivered efficiently. Popular ad networks include Google AdSense, Media.net, and Amazon's advertising platform, among others.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
Timeshare Software
Timeshare software helps organizations in the vacation-ownership industry manage and streamline the entire lifecycle of shared-use or ownership properties, from marketing and sales through owner services and resort operations. It enables management of reservations, inventory (units/weeks/points), contracts, maintenance fees, and owner/member communications—all in one system. With integrated accounting, CRM, and operations modules, it supports transparency, efficiency, and better guest/owner experiences in resorts, clubs, fractional ownership, and vacation-rental contexts. These platforms often offer owner portals, multi-site support, multi-currency/multi-language capabilities, and analytics to drive decisions and performance. Ultimately, timeshare software helps reduce manual processes, minimize errors, increase occupancy/usage, and enhance profitability while improving owner/member satisfaction.
IoT Software
Internet of Things (IoT) software is a form of technology that allows for connected devices to communicate with each other over the internet. It generally consists of various hardware and software components such as sensors, wireless networks, and databases. With the help of IoT software, data can be collected from multiple sources for further analysis and it can also be used to control devices remotely. IoT software also offers advantages such as improved efficiency and better security for connected devices.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
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33 Products for "neural net python" with 1 filter applied:

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  • 1
    Chainer

    Chainer

    Chainer

    A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. ...
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  • 2
    Accord.NET Framework

    Accord.NET Framework

    Accord.NET Framework

    The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive documentation and wiki helps fill in the details.
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  • 3
    ConvNetJS

    ConvNetJS

    ConvNetJS

    ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome.
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  • 4
    AForge.NET

    AForge.NET

    AForge.NET

    AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly.
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  • 5
    NVIDIA PhysicsNeMo
    ...It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.
    Starting Price: Free
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  • 6
    DataMelt

    DataMelt

    jWork.ORG

    ...This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
    Starting Price: $0
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  • 7
    NeuroIntelligence
    NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing.
    Starting Price: $497 per user
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  • 8
    Microsoft Cognitive Toolkit
    The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. ...
    3 Ratings
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  • 9
    MXNet

    MXNet

    The Apache Software Foundation

    A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and...
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  • 10
    Darknet

    Darknet

    Darknet

    ...If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP.
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  • 11
    Piper TTS

    Piper TTS

    Rhasspy

    Piper is a fast, local neural text-to-speech (TTS) system optimized for devices like the Raspberry Pi 4, designed to deliver high-quality speech synthesis without relying on cloud services. It utilizes neural network models trained with VITS and exported to ONNX Runtime, enabling efficient and natural-sounding speech generation. Piper supports a wide range of languages, including English (US and UK), Spanish (Spain and Mexico), French, German, and many others, with voices available for download. ...
    Starting Price: Free
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  • 12
    Deeplearning4j

    Deeplearning4j

    Deeplearning4j

    DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python...
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  • 13
    JAX

    JAX

    JAX

    ​JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs.
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  • 14
    MuseNet

    MuseNet

    OpenAI

    We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files.
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  • 15
    MatConvNet
    ...It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.
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  • 16
    Qdrant

    Qdrant

    Qdrant

    Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. ...
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  • 17
    TextBlob

    TextBlob

    TextBlob

    TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. ...
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  • 18
    fal

    fal

    fal.ai

    ...Use common models such as Stable Diffusion, Background Removal, ControlNet, and more as APIs. These models are kept warm for free. (Don't pay for cold starts) Join the discussion around our product and help shape the future of AI. Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.
    Starting Price: $0.00111 per second
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  • 19
    TinyPNG

    TinyPNG

    Tinify

    ...It uses smart lossy compression to compress JPEG, PNG, WebP, AVIF, and JPEG XL (JXL) files by up to 80% without visible quality loss - boosting speed, SEO, and reducing bandwidth. Compress, convert, and resize images via our intuitive web app or powerful API, with an image CDN for fast global delivery. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. Includes an official WordPress plugin and a growing ecosystem of community-built integrations. Tinify is simple and accessible with no complex settings, no guesswork. It just works. Whether you're a beginner or building for scale, you get reliable results fast. All plans start with a generous free tier, and responsive customer support is here when you need help. ...
    51 Ratings
    Starting Price: $0
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  • 20
    MindMeld

    MindMeld

    Cisco DevNet

    The MindMeld Conversational AI Platform is a Python-based machine learning framework that encompasses all of the algorithms and utilities required for building production-quality conversational applications. Evolved over several years of building and deploying dozens of advanced interfaces, MindMeld is optimized for building conversational assistants which demonstrate deep understanding of a particular use case or domain while providing highly useful and versatile conversational experiences....
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  • 21
    NVIDIA TensorRT
    ...The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.
    Starting Price: Free
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  • 22
    NVIDIA DeepStream SDK
    NVIDIA's DeepStream SDK is a comprehensive streaming analytics toolkit based on GStreamer, designed for AI-based multi-sensor processing, including video, audio, and image understanding. It enables developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. DeepStream is integral to NVIDIA Metropolis, a platform for building end-to-end services that transform pixel and sensor data into actionable insights. The SDK offers a powerful and flexible environment suitable for a wide range of industries, supporting multiple programming options such as C/C++, Python, and Graph Composer's intuitive UI. ...
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  • 23
    Azure Data Science Virtual Machines
    ...Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.
    Starting Price: $0.005
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  • 24
    Fontjoy

    Fontjoy

    Fontjoy

    ...The goal of font pairing is to select fonts that share an overarching theme yet have a pleasing contrast. Which fonts work together is largely a matter of intuition, but we approach this problem with a neural net. Pairing fonts that are very similar, but just slightly different creates visual conflict. This is actually a core tenet of design - contrast is important not only in font selection but color and position as well. Fonts that share no relationship at all are not great either. We can systematically find fonts that share similarities but contrast in a key way.
    Starting Price: Free
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  • 25
    NLTK

    NLTK

    NLTK

    The Natural Language Toolkit (NLTK) is a comprehensive, open source Python library designed for human language data processing. It offers user-friendly interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for tasks including classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK also provides wrappers for industrial-strength NLP libraries and maintains an active discussion forum. ...
    Starting Price: Free
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  • 26
    Neurotechnology AI SDK

    Neurotechnology AI SDK

    Neurotechnology

    ...Optional speaker recognition through voice biometrics can be added for stronger identity confirmation. The SDK supports Windows and Linux and provides native libraries for Python, C++, Java and .NET, making it suitable for transcription workflows, analytics platforms or voice-driven applications across a wide range of industries.
    Starting Price: €2500
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  • 27
    OpenAI Jukebox
    We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artistic styles. We’re releasing the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training.
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  • 28
    WebCrawlerAPI

    WebCrawlerAPI

    WebCrawlerAPI

    ...With a 90% success rate and an average crawling time of 7.3 seconds, the API handles challenges like internal link management, duplicate removal, JS rendering, anti-bot mechanisms, and large-scale data storage. It offers seamless integration with multiple programming languages, including Node.js, Python, PHP, and .NET, allowing developers to get started with just a few lines of code. Additionally, WebCrawlerAPI automates data cleaning, ensuring high-quality output for further processing. Converting HTML to clean text or Markdown requires complex parsing rules. Handling multiple crawlers across different servers.
    Starting Price: $2 per month
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  • 29
    VeriLook SDK

    VeriLook SDK

    Neurotechnology

    ...It works with images captured in visible or near-infrared light and maintains reliable accuracy across lighting changes and varied head positions. Developers can integrate VeriLook using C/C++, C#, VB .NET, Java or Python on Windows, Linux, macOS, iOS and Android. With more than twenty years of deployments worldwide, VeriLook offers a dependable, flexible and developer-friendly platform for building secure, modern biometric applications.
    Starting Price: €339.00
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  • 30
    Microsoft Agent Framework
    Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. ...
    Starting Price: Free
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