Stars
📚 Freely available programming books
All Algorithms implemented in Python
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A book-in-progress about the Linux kernel and its insides.
PyTorch Tutorial for Deep Learning Researchers
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
State-of-the-Art Text Embeddings
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Modular visual interface for GDB in Python
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Open source annotation tool for machine learning practitioners.
TensorFlow-based neural network library
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Wrong project! You should head over to http://github.com/sshuttle/sshuttle
A Python implementation of global optimization with gaussian processes.