Showing 11 open source projects for "stake-predictor"

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  • 1
    NBA Sports Betting Machine Learning

    NBA Sports Betting Machine Learning

    NBA sports betting using machine learning

    NBA-Machine-Learning-Sports-Betting is an open-source Python project that applies machine learning techniques to predict outcomes of National Basketball Association games for analytical and betting-related research. The system gathers historical team statistics and game data spanning multiple seasons, beginning with the 2007–2008 NBA season and continuing through the present. Using this dataset, the project constructs matchup features that represent team performance trends and contextual...
    Downloads: 15 This Week
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  • 2
    plexe

    plexe

    Build a machine learning model from a prompt

    plexe lets you build machine-learning systems from natural-language prompts, turning plain English goals into working pipelines. You describe what you want—a predictor, a classifier, a forecaster—and the tool plans data ingestion, feature preparation, model training, and evaluation automatically. Under the hood an agent executes the plan step by step, surfacing intermediate results and artifacts so you can inspect or override choices. It aims to be production-minded: models can be exported, versioned, and deployed, with reports to explain performance and limitations. ...
    Downloads: 7 This Week
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  • 3
    DocTR

    DocTR

    Library for OCR-related tasks powered by Deep Learning

    ...Seemlessly process documents for Natural Language Understanding tasks: we provide OCR predictors to parse textual information (localize and identify each word) from your documents. Robust 2-stage (detection + recognition) OCR predictors with pretrained parameters. User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document datasets, comparable with GoogleVision/AWS Textract. Easy integration (available templates for browser demo & API deployment). End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). ...
    Downloads: 9 This Week
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  • 4
    vits_chinese

    vits_chinese

    Best practice TTS based on BERT and VITS

    vits_chinese is an implementation of the VITS end-to-end text-to-speech (TTS) architecture tailored for Chinese (and possibly multilingual) speech synthesis. VITS is a model combining variational autoencoders (VAEs), normalizing flows, adversarial learning, and a stochastic duration predictor — a design that enables generation of natural, expressive speech, capturing variations in rhythm and prosody. By customizing or porting VITS for Chinese, this project aims to produce high-quality TTS outputs in a language that can be challenging due to tones, pronunciation variability, and prosody. The repository offers full training and inference pipelines: preprocessing, mel-spectrogram generation, training scripts, and audio synthesis. ...
    Downloads: 2 This Week
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    Securden Privileged Account Manager

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  • 5
    Emb-GAM

    Emb-GAM

    An interpretable and efficient predictor using pre-trained models

    Deep learning models have achieved impressive prediction performance but often sacrifice interpretability, a critical consideration in high-stakes domains such as healthcare or policymaking. In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for...
    Downloads: 0 This Week
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  • 6
    Auto-PyTorch

    Auto-PyTorch

    Automatic architecture search and hyperparameter optimization

    While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series...
    Downloads: 4 This Week
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  • 7

    SnowyOwl

    RNA-Seq based gene prediction pipeline for fungal genomes

    ...The pipeline has been validated and streamlined by comparing its predictions to manually curated gene models in three fungal genomes, and its results show substantial increases in sensitivity and selectivity over previous gene predictions. Sensitivity is gained by repeatedly running the HMM gene predictor Augustus with varied input parameters, and selectivity by choosing the models with best homology to known proteins and best agreement to the RNA-Seq data. SnowyOwl has successfully predicted genes in 26 novel fungal genomes. The pipeline can be installed locally for high throughput and control over configuration. It can also be run on a remote server through a convenient web interface for occasional use.
    Downloads: 0 This Week
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  • 8
    This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
    Downloads: 0 This Week
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  • 9
    QGis Wion viewer plugin
    The Wion Result Viewer is a python plugin for Quantum GIS. It is used to load and view the result of Dutch dig alerts, made according the law WION, into Quantum GIS. It is an alternative to the free Klic-viewer provided by Kadaster.
    Downloads: 0 This Week
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  • 10

    Aircraft Trajectory Predictor

    Compute Aircraft Trajectories

    Compute Aircraft (jet) Trajectories based upon Eurocontrol BADA Aircraft Performance Model
    Downloads: 0 This Week
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  • 11
    VedAstro

    VedAstro

    A non-profit, open source for Vedic Astrology with free and Open API

    Match is a calculator for checking marriage or friendship compatibility. Muhurtha is used for finding good timing and using the Life Predictor you can make predictions up to 120 years. Explore each calculator to get a deep understanding of Vedic Astrology. Anybody who has studied Vedic Astrology knows well how accurate it can be. But also how complex it can get to make accurate predictions. It takes decades of experience to be able make accurate prediction. As such this knowledge only reaches a limited people. ...
    Downloads: 0 This Week
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