#Jax
Showing 60 of 115 repositories tagged #jax, ranked by stars
Deep Learning for humans
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
Convert Machine Learning Code Between Frameworks
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Trax — Deep Learning with Clear Code and Speed
Efficiently computes derivatives of NumPy code.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Become a cracked AI/ML Research Engineer
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A library for scientific machine learning and physics-informed learning
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Scenic: A Jax Library for Computer Vision Research and Beyond
Mastering Diverse Domains through World Models
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
JAX-based neural network library
Training and serving large-scale neural networks with auto parallelization.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Functional programming language for signal processing and sound synthesis
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
An Extensible Deep Learning Library
A simple, performant, and scalable Jax LLM!
JAX - A curated list of resources https://github.com/google/jax
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
A deep learning package for many-body potential energy representation and molecular dynamics
A JAX research toolkit for building, editing, and visualizing neural networks.
Automated Machine Learning on Kubernetes
TensorLy: Tensor Learning in Python.
Magenta RealTime 2: An Open-Weights Live Music Model
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
A Graph Neural Network Library in Jax
Thermodynamic Hypergraphical Model Library in JAX
Pretrained model hub for Keras 3.
A Python package for probabilistic state space modeling with JAX
A Library for Uncertainty Quantification.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Long Range Arena for Benchmarking Efficient Transformers
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Library for reading and processing ML training data.
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Original Implementation of Prompt Tuning from Lester, et al, 2021
Machine learning algorithms for many-body quantum systems
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Gaussian processes in JAX and Equinox.
♟️ Vectorized RL game environments in JAX