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Discover 1,001 open source projects
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tobegit3hub/tensorflow_template_application
A TensorFlow template application for building deep learning models and deploying them to production.
uber/petastorm
Petastorm enables training and evaluation of deep learning models from Apache Parquet datasets.
Tiiiger/bert_score
A Python library for computing BERT-based text generation evaluation metrics.
roboterax/humanoid-gym
Reinforcement learning framework for training humanoid robots with zero-shot sim-to-real transfer.
johannfaouzi/pyts
A Python package for time series classification, useful for developers working with time-series data.
minimaxir/automl-gs
A no-code AutoML tool that generates a working model from a CSV file and target field.
NanoNets/docext
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit.
MrNothing/AI-Blocks
A powerful WYSIWYG interface for creating Machine Learning models without writing code.
yassouali/awesome-semi-supervised-learning
A curated list of awesome papers, methods, and resources for semi-supervised learning, a powerful machine learning technique.
ray-project/llm-applications
A comprehensive guide for building production-ready RAG-based LLM applications using the Ray framework.
tradytics/surpriver
A Python library for finding big moving stocks using machine learning and anomaly detection.
wq2012/awesome-diarization
A curated list of resources for speaker diarization, a speech processing task to identify who spoke when.
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
explosion/spacy-models
A set of pre-trained machine learning models for the spaCy NLP library.
byzer-org/byzer-lang
Byzer is a low-code open-source programming language for data pipeline, analytics and AI.
cbailes/awesome-deep-trading
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
Awesome-Interview/Awesome-Interview
A curated collection of awesome resources for interview preparation, including coding challenges, practice questions, and more.
ssusnic/Machine-Learning-Flappy-Bird
Machine learning-powered implementation of the classic Flappy Bird game using neural networks and genetic algorithms.
stanfordmlgroup/ngboost
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
probcomp/Gen.jl
A general-purpose probabilistic programming system for building AI and ML applications.
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