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All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🏡 Open source home automation that puts local control and privacy first.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Rich is a Python library for rich text and beautiful formatting in the terminal.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Streamlit — A faster way to build and share data apps.
A toolkit for developing and comparing reinforcement learning algorithms.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
The fundamental package for scientific computing with Python.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
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.
A community-maintained Python framework for creating mathematical animations.
Convert Machine Learning Code Between Frameworks
Python Implementation of Reinforcement Learning: An Introduction
Open source code for AlphaFold.
Cross-platform lib for process and system monitoring in Python
An educational resource to help anyone learn deep reinforcement learning.
An elegant PyTorch deep reinforcement learning library.
🚴 Call stack profiler for Python. Shows you why your code is slow!
Flax is a neural network library for JAX that is designed for flexibility.
