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300 search results found

Transformers ⭐ 124,049

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Keras ⭐ 60,854

Deep Learning for humans

D2l En ⭐ 20,613

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Best Of Ml Python ⭐ 14,990

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

The Unified AI Framework

Trax — Deep Learning with Clear Code and Speed

Einops ⭐ 7,548

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Flax is a neural network library for JAX that is designed for flexibility.

Datasets ⭐ 4,094

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Interviews.ai ⭐ 3,146

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.

Training and serving large-scale neural networks with auto parallelization.

Thinc ⭐ 2,774

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Scenic ⭐ 2,733

Scenic: A Jax Library for Computer Vision Research and Beyond

Foolbox ⭐ 2,600

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Deepxde ⭐ 2,135

A library for scientific machine learning and physics-informed learning

Easylm ⭐ 2,087

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Pennylane ⭐ 2,022

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Numpyro ⭐ 1,966

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Equinox ⭐ 1,614

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Machine_learning_refined ⭐ 1,574

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Tensorly ⭐ 1,466

TensorLy: Tensor Learning in Python.

Big_transfer ⭐ 1,421

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Transformerengine ⭐ 1,172

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Diffrax ⭐ 1,131

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Hardware accelerated, batchable and differentiable optimizers in JAX.

Fortuna ⭐ 824

A Library for Uncertainty Quantification.

Jaxtyping ⭐ 759

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

Dawdreamer ⭐ 750

Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors

Dreamerv3 ⭐ 749

Mastering Diverse Domains through World Models

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Eagerpy ⭐ 645

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Long Range Arena ⭐ 635

Long Range Arena for Benchmarking Efficient Transformers

Tensor Sensor ⭐ 634

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Prompt Tuning ⭐ 580

Original Implementation of Prompt Tuning from Lester, et al, 2021

Treasure Of Transformers ⭐ 541

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Dynamax ⭐ 540

State Space Models library in JAX

Pdebench ⭐ 522

PDEBench: An Extensive Benchmark for Scientific Machine Learning

This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models

Get Started With Jax ⭐ 487

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.

Machine learning algorithms for many-body quantum systems

Fast Soft Sort ⭐ 476

Fast Differentiable Sorting and Ranking

Purejaxrl ⭐ 460

Really Fast End-to-End Jax RL Implementations

Jumanji ⭐ 439

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

Neuralcompression ⭐ 430

A collection of tools for neural compression enthusiasts.

A High Level API for Deep Learning in JAX

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

Dataloader ⭐ 390

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

Tpu Starter ⭐ 381

Everything you want to know about Google Cloud TPU

Git Re Basin ⭐ 378

Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

Machine Learning Guide ⭐ 366

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Gaussian processes in JAX.

PIX is an image processing library in JAX, for JAX.

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

Tevatron ⭐ 334

Tevatron - A flexible toolkit for neural retrieval research and development.

Autobound ⭐ 325

AutoBound automatically computes upper and lower bounds on functions.

Extending Jax ⭐ 293

Extending JAX with custom C++ and CUDA code

The versatile ocean simulator, in pure Python, powered by JAX.

Pyhpc Benchmarks ⭐ 290

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python 🚀

Scimlbenchmarks.jl ⭐ 279

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Sympy2jax ⭐ 272

Turn SymPy expressions into trainable JAX expressions.

Opennsfw2 ⭐ 272

Keras implementation of the Yahoo Open-NSFW model

Squirrel Core ⭐ 271

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

pure-Python HistFactory implementation with tensors and autodiff

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

🎲 Vectorized RL game environments in JAX [NeurIPS23]

Gradcache ⭐ 254

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Accelerated Quality-Diversity

Annotated S4 ⭐ 231

Implementation of https://srush.github.io/annotated-s4

Tensorcircuit ⭐ 230

Tensor network based quantum software framework for the NISQ era

Functional tensors for probabilistic programming

A Pytree Module system for Deep Learning in JAX

Jaxfluids ⭐ 203

Differentiable Fluid Dynamics Package

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Flaxmodels ⭐ 201

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

Bayesnewton ⭐ 196

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Rigid transforms + Lie groups, in JAX

Orbax provides common utility libraries for JAX users.

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Optimistix ⭐ 185

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

Llama 2 Jax ⭐ 179

JAX implementation of the Llama 2 model

Train very large language models in Jax.

Concise deep learning for JAX

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

Control adaptive filters with neural networks.

Collection of eclectic utils for python.

Jax2torch ⭐ 158

Use Jax functions in Pytorch

Tree Math ⭐ 156

Mathematical operations for JAX pytrees

Factor graphs and nonlinear least squares for JAX

E3nn Jax ⭐ 143

jax library for E3 Equivariant Neural Networks

Skscope ⭐ 141

skscope: Sparse-Constrained OPtimization via itErative-solvers

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Tf_jax_tutorials ⭐ 135

All about the fundamental blocks of TF and JAX!

Sunstreaker ⭐ 126

以jax为后端的类似keras的框架

Flash Attention Jax ⭐ 123

Implementation of Flash Attention in Jax

Stylegan2 Flax Tpu ⭐ 123

🖼 Training StyleGAN2 on TPUs in JAX

Efficientnet Jax ⭐ 121

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

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