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378 search results found

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/

Palm Jax ⭐ 181

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)

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

Indaba Pracs 2022 ⭐ 151

Notebooks for the Practicals at the Deep Learning Indaba 2022.

E3nn Jax ⭐ 143

jax library for E3 Equivariant Neural Networks

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Skscope ⭐ 141

skscope: Sparse-Constrained OPtimization via itErative-solvers

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

Loopy belief propagation for factor graphs on discrete variables in JAX

Stylegan2 Flax Tpu ⭐ 123

🖼 Training StyleGAN2 on TPUs in JAX

Flash Attention Jax ⭐ 123

Implementation of Flash Attention in Jax

Efficientnet Jax ⭐ 121

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

KoCLIP: Korean port of OpenAI CLIP, in Flax

Efficient Vdvae ⭐ 115

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Fbpinns ⭐ 110

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

Swanlab ⭐ 108

🧐SwanLab: track and visualize all the pieces of your machine learning pipeline. Join our WeChat ⬇️

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

Autoray ⭐ 106

Abstract your array operations.

Xland Minigrid ⭐ 104

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

Jax Smi ⭐ 104

JAX Synergistic Memory Inspector

Reinforcement learning library in JAX.

Catalyst ⭐ 101

A JIT compiler for hybrid quantum programs in PennyLane

Bayesde ⭐ 101

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Flashbax ⭐ 100

⚡ Flashbax: Accelerated Replay Buffers in JAX

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Robustness Vit ⭐ 97

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Differentiable and accelerated spherical transforms with JAX

EasyDeL is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving Both in Python And Mojo🔥

Jax Models ⭐ 82

Unofficial JAX implementations of deep learning research papers

A Python library for integrating model-based and judgmental forecasting

adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

Sgmcmcjax ⭐ 80

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

Jestimator ⭐ 77

Amos optimizer with JEstimator lib.

Scientific Computational Imaging COde

A multi-modal CLIP model trained on the medical dataset ROCO

Auto-differentiable and hardware-accelerated force density method

A functional training loops library for JAX

Jax Fenics Adjoint ⭐ 71

Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint

Dm_nevis ⭐ 71

NEVIS'22: Benchmarking the next generation of never-ending learners

Ngc Learn ⭐ 71

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

Cr Sparse ⭐ 70

Functional models and algorithms for sparse signal processing

Neural Networks for JAX

Jax Resnet ⭐ 67

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

一个Go语言实现的Markdown转PDF命令行工具，基于headless chrome，简单、可靠、易安装、可定制化、易拓展

Hyper Nn ⭐ 65

Easy Hypernetworks in Pytorch and Jax

Loopy belief propagation for factor graphs on discrete variables, in JAX!

SciFive: a text-text transformer model for biomedical literature

A small library for creating and manipulating custom JAX Pytree classes

Reinforced Lib ⭐ 60

Reinforcement learning library

Differentiable Finite Element Method with JAX

M3ae_public ⭐ 58

Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation

Fourier modal method with Jax

Contextual bandits library for continuous action trees with smoothing in JAX

General Modules for JAX

Alphatrade ⭐ 55

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

Stencil computations in JAX

Imgx Diffseg ⭐ 53

A JAX-based deep learning framework for image segmentation using diffusion models.

Turbozero ⭐ 53

fast + parallel AlphaZero in JAX

JAX implementations of core Deep RL algorithms

Simple Pytree ⭐ 51

A dead simple Python package for creating custom JAX pytree objects

Bayesian Optimization in JAX

Jaxonnxruntime ⭐ 50

A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.

Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to train.

Differentiable Cosmological Forward Model

JAX-based Spiking Neural Network framework

Tencirchem ⭐ 45

Quantum computational chemistry based on TensorCircuit

Pytorch and Jax code for the Madam optimiser.

Grad-DFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.

Revisiting_rainbow ⭐ 45

Revisiting Rainbow

Simulating quantum circuits with JAX

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

Jax_dataclasses ⭐ 43

Pytrees + dataclasses ❤️

Dataclass_array ⭐ 43

Dataclasses manipulated as numpy arrays (with batching, reshape, slicing,...)

Mlp Gpt Jax ⭐ 42

A GPT, made only of MLPs, in Jax

Digital-analog quantum programming interface

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

Scalable Optical Flow-based Image Montaging and Alignment

Jax Tqdm ⭐ 40

Add a tqdm progress bar to your JAX scans and loops.

Keras-like APIs for JAX framework

Differentiable optical models as parameterised neural networks in Jax using Zodiax

A Python library for machine-learning and feedback loops on streaming data

Exchange correlation functionals translated from libxc to jax

Rockpool ⭐ 37

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

Sac N Jax ⭐ 36

Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch

Rieoptax ⭐ 36

Riemannian Optimization Using JAX

HomebrewNLP in JAX flavour for maintable TPU-Training

101-200 of 378 search results

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