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Showing 18666 open source projects for "python-kinterbasdb"

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    Jesta I.S. | Enterprise Software For Retail and Supply Chain

    Transition from fragmented entry-level or legacy systems to an enterprise suite.

    Unify your people and operations across all departments and channels. Discover end-to-end retail, wholesale, and supply chain management software suites designed to scale.
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  • DeskTime is a cloud-based time tracking software Icon
    DeskTime is a cloud-based time tracking software

    DeskTime is best for medium to large companies, as well as freelancers who want to boost productivity without overworking.

    DeskTime is a high-performance, automated time tracking and workforce management solution for teams and freelancers. It runs silently in the background, logging computer activity from the moment of boot-up to ensure 100% accurate data without the need for manual timers.
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  • 1
    Instill Core

    Instill Core

    Instill Core is a full-stack AI infrastructure tool for data

    Instill Core is an open-source, full-stack AI infrastructure platform designed to orchestrate data pipelines, machine learning models, and unstructured data processing into a unified, production-ready system. It provides an end-to-end solution that enables developers to build, deploy, and manage AI-powered applications without needing to manually stitch together multiple tools across the data and model lifecycle. The platform focuses heavily on handling unstructured data such as documents,...
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  • 2
    EvoAgentX

    EvoAgentX

    Self-evolving AI agent framework for automated workflows

    EvoAgentX is an open source framework for building, evaluating, and continuously improving LLM-based agents and multi-agent workflows. It moves beyond static pipelines by introducing a self-evolving system where agents are automatically generated, tested, and optimised through iterative feedback. Developers can define goals in natural language, while the framework handles workflow creation, execution, and refinement. Its modular architecture supports layered components for agents, workflows,...
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  • 3
    clip-retrieval

    clip-retrieval

    Easily compute clip embeddings and build a clip retrieval system

    clip-retrieval is an open-source toolkit designed to build large-scale semantic search systems for images and text by leveraging CLIP embeddings to enable multimodal retrieval. It allows developers to compute embeddings for both images and text efficiently and then index them for fast similarity search across massive datasets. The system is optimized for performance and scalability, capable of processing tens or even hundreds of millions of embeddings using GPU acceleration. It includes...
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  • 4
    DeepClaude

    DeepClaude

    Unleash Next-Level AI

    DeepClaude is an open-source AI orchestration system that combines multiple state-of-the-art language models into a unified pipeline to achieve higher performance across tasks such as coding, reasoning, and content generation. It is built around the concept of model collaboration, where one model specializes in reasoning while another focuses on output refinement, resulting in more accurate and efficient responses. The system commonly pairs models such as DeepSeek R1 with Claude or Gemini,...
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  • No-Nonsense Code-to-Cloud Security for Devs | Aikido Icon
    No-Nonsense Code-to-Cloud Security for Devs | Aikido

    Connect your GitHub, GitLab, Bitbucket or Azure DevOps account to start scanning your repos for free.

    Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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  • 5
    mini SWE-agent

    mini SWE-agent

    The 100 line AI agent that solves GitHub issues

    mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by...
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  • 6
    Reflexion

    Reflexion

    Reflexion: Language Agents with Verbal Reinforcement Learning

    Reflexion is a research-oriented AI framework that focuses on improving the reasoning and problem-solving capabilities of language model agents through iterative self-reflection and feedback loops. Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of...
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  • 7
    AIBuildAI

    AIBuildAI

    An AI agent that automatically builds AI models

    AI-Build-AI is an open-source framework focused on enabling autonomous systems that can design, generate, and improve AI applications with minimal human intervention. The project explores recursive AI development, where models are used not only as tools but as builders capable of constructing other AI systems, workflows, or components. It provides a structured environment for orchestrating agents that can plan, execute, and refine tasks such as code generation, system design, and iterative...
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  • 8
    Airweave CLI

    Airweave CLI

    The Airweave CLI for developers and AI agents

    Airweave CLI is a command-line interface designed to streamline the development, deployment, and management of AI-powered workflows and agent-based systems. It provides developers with a lightweight tool to interact with Airweave’s platform directly from the terminal, enabling rapid iteration on AI pipelines without relying on graphical interfaces. The CLI simplifies tasks such as configuring environments, running AI agents, managing prompts, and integrating external APIs, making it...
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  • 9
    Cosmos-RL

    Cosmos-RL

    Cosmos-RL is a flexible and scalable Reinforcement Learning framework

    Cosmos-RL is a scalable reinforcement learning framework designed specifically for physical AI systems such as robotics, autonomous agents, and multimodal models. It provides a distributed training architecture that separates policy learning and environment rollout processes, enabling efficient and asynchronous reinforcement learning at scale. The framework supports multiple parallelism strategies, including tensor, pipeline, and data parallelism, allowing it to leverage large GPU clusters...
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  • Planfix: Manage Projects, Team's Tasks and Business Processes Icon
    Planfix: Manage Projects, Team's Tasks and Business Processes

    All-in-One Enterprise-Level Software is Now Available for SMB

    Planfix is like a souped-up business process management system for folks who really know their stuff. It's built to help you dive deeper and gives you more options than your run-of-the-mill project and task management systems. Best part? Even small businesses and non-profits can get in on the action.
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  • 10
    JAX Toolbox

    JAX Toolbox

    Public CI, Docker images for popular JAX libraries

    JAX Toolbox is a development toolkit designed to streamline and optimize the use of JAX for machine learning and high-performance computing on NVIDIA GPUs. It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA...
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  • 11
    autoMate

    autoMate

    AI tool for automating desktop tasks via natural language input

    autoMate is an AI-powered local automation tool designed to enable users to control and automate their computers using natural language instructions instead of traditional scripting or rule-based systems. It combines large language models with computer vision techniques to interpret user intent and understand on-screen content, allowing it to interact with graphical interfaces similarly to a human user. autoMate follows an observe-decide-act workflow, where it analyzes the screen, plans...
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  • 12
    Text Embeddings Inference

    Text Embeddings Inference

    High-performance inference server for text embeddings models API layer

    Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to...
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  • 13
    ComfyUI-Copilot

    ComfyUI-Copilot

    AI assistant for ComfyUI workflow generation, debugging, and tuning

    ComfyUI-Copilot is an AI-powered assistant designed to extend the capabilities of ComfyUI by simplifying and automating complex workflow development tasks. It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to...
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  • 14
    Kiln

    Kiln

    Open source platform for managing, testing, and deploying AI apps

    Kiln is an open source platform designed to help developers build, evaluate, and deploy AI-powered applications with greater structure and reliability. It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic...
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  • 15
    Google Kubernetes Engine (GKE) Samples

    Google Kubernetes Engine (GKE) Samples

    Sample applications for Google Kubernetes Engine (GKE)

    Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such...
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  • 16
    Swarms

    Swarms

    Enterprise multi-agent orchestration framework for scalable AI apps

    Swarms is an enterprise-grade multi-agent orchestration framework designed to help developers build, manage, and scale collaborative AI systems composed of multiple agents. It provides a structured infrastructure for coordinating agents in hierarchical, parallel, or sequential workflows, enabling complex task execution across distributed components. It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale...
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  • 17
    Factorio

    Factorio

    Factorio headless server in a Docker container

    Factorio is an open-source project that provides a Docker container for running a headless Factorio game server. Factorio is a factory-building simulation game in which players automate production lines, research technologies, and manage complex industrial systems, and the repository focuses specifically on hosting the game server in a containerized environment. By packaging the server into a Docker image, the project simplifies the process of deploying and maintaining multiplayer servers...
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  • 18
    TADA

    TADA

    Open Source Speech Language Model

    TADA is an open-source speech-language modeling framework designed to unify spoken audio and text representations within a single generative architecture. The system focuses on aligning speech and text streams using a dual-alignment mechanism that synchronizes the acoustic signal with its textual representation. By modeling both modalities together, the framework allows developers to build systems capable of generating, understanding, and transforming speech and language simultaneously. This...
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  • 19
    machine-learning-refined

    machine-learning-refined

    Master the fundamentals of machine learning, deep learning

    machine-learning-refined is an educational repository designed to help students and practitioners understand machine learning algorithms through intuitive explanations and interactive examples. The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric...
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  • 20
    Diffrax

    Diffrax

    Numerical differential equation solvers in JAX

    Diffrax is a numerical differential equation solving library built for the JAX ecosystem, with a strong focus on composability, differentiability, and high-performance scientific computing. The project provides tools for solving ordinary differential equations, stochastic differential equations, controlled differential equations, and related systems in a way that fits naturally into modern machine learning and differentiable programming workflows. Because it is written to work closely with...
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  • 21
    SimpleHTR

    SimpleHTR

    Handwritten Text Recognition (HTR) system implemented with TensorFlow

    SimpleHTR is an open-source implementation of a handwriting text recognition system based on deep learning techniques. The project focuses on converting images of handwritten text into machine-readable digital text using neural networks. The system uses a combination of convolutional neural networks and recurrent neural networks to extract visual features and model sequential character patterns in handwriting. It also employs connectionist temporal classification (CTC) to align predicted...
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  • 22
    VoxelMorph

    VoxelMorph

    Unsupervised Learning for Image Registration

    VoxelMorph is an open-source deep learning framework designed for medical image registration, a process that aligns multiple medical scans into a common spatial coordinate system. Traditional image registration techniques typically rely on optimization procedures that must be executed separately for each pair of images, which can be computationally expensive and slow. VoxelMorph approaches the problem using neural networks that learn to predict deformation fields that transform one image so...
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  • 23
    SimpleTuner

    SimpleTuner

    A general fine-tuning kit geared toward image/video/audio diffusion

    SimpleTuner is an open-source toolkit designed to simplify the fine-tuning of modern diffusion models for generating images, video, and audio. The project focuses on providing a clear and understandable training environment for researchers, developers, and artists who want to customize generative AI models without navigating complex machine learning pipelines. It supports fine-tuning workflows for models such as Stable Diffusion variants and other diffusion architectures, enabling users to...
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  • 24
    imgclsmob Deep learning networks

    imgclsmob Deep learning networks

    Sandbox for training deep learning networks

    imgclsmob is a deep learning research repository focused on implementing and experimenting with convolutional neural networks for computer vision tasks. The project serves as a sandbox for training and evaluating a wide variety of neural network architectures used in image analysis. It includes implementations of models used for tasks such as image classification, object detection, semantic segmentation, and pose estimation. The repository also contains scripts that help train models,...
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  • 25
    Reco-papers

    Reco-papers

    Classic papers and resources on recommendation

    Reco-papers is a curated repository that collects influential research papers, technical resources, and industry materials related to recommender systems and recommendation algorithms. The project organizes a large body of literature into thematic sections such as classic recommender systems, exploration-exploitation strategies, deep learning–based recommendation models, and cold-start mitigation techniques. It serves as a reference library for researchers and engineers who want to explore...
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