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Search results for python jax

301 search results found

Efficientnet Jax ⭐ 121

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

Loopy belief propagation for factor graphs on discrete variables in JAX

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.

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.

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🔥

A Python library for integrating model-based and judgmental forecasting

Jax Models ⭐ 82

Unofficial JAX implementations of deep learning research papers

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

Catalyst ⭐ 75

A JIT compiler for hybrid quantum programs in PennyLane

A functional training loops library for JAX

Auto-differentiable and hardware-accelerated force density method

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

Neural Networks for JAX

3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

Jax Resnet ⭐ 67

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

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

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

Fully differentiable RL environments, written in Ivy.

General Modules for JAX

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

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.

Bayesian Optimization in JAX

Differentiable Cosmological Forward Model

JAX-based Spiking Neural Network framework

Tencirchem ⭐ 45

Quantum computational chemistry based on TensorCircuit

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

Simulating quantum circuits with JAX

Dataclass_array ⭐ 43

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

Jax_dataclasses ⭐ 43

Pytrees + dataclasses ❤️

Digital-analog quantum programming interface

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

Mlp Gpt Jax ⭐ 42

A GPT, made only of MLPs, in 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

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

Differentiable optical models as parameterised neural networks in Jax using Zodiax

Rockpool ⭐ 37

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

Exchange correlation functionals translated from libxc to jax

TrAVis: Visualise BERT attention in-browser

Sac N Jax ⭐ 36

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

HomebrewNLP in JAX flavour for maintable TPU-Training

Score_flow ⭐ 35

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

Electromagnetic simulation (RCWA) & optimization package in Python

Python Suite for Advanced General Ensemble Simulations

A scalable physics engine and multibody dynamics library implemented with JAX. With JIT batteries 🔋

Tigercontrol ⭐ 31

Google AI Princeton control framework

Fastpbrl ⭐ 31

Vectorization techniques for fast population-based training.

🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX

Sparsejac ⭐ 30

Efficient forward- and reverse-mode sparse Jacobians using Jax

Mamba Jax ⭐ 30

Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX

Machine Learning eXperiment Utilities

Chef Transformer ⭐ 29

Chef Transformer 🍲 .

Jax Variational Diffwave ⭐ 28

Jax/Flax implementation of Variational-DiffWave.

Manyfold ⭐ 28

🧬 ManyFold: An efficient and flexible library for training and validating protein folding models

Jax Fenics ⭐ 27

Differentiable interface to FEniCS for JAX

PyHGF: A graph neural network library for predictive coding

Jax Wavelet Toolbox ⭐ 26

Differentiable and gpu enabled fast wavelet transforms in JAX.

Haiku Geometric ⭐ 26

A collection of graph neural networks implementations in JAX

Jax Dips ⭐ 26

JAX-DIPS is a differentiable interfacial PDE solver.

Tensorshare ⭐ 25

🤝 Trade any tensors over the network

Probdiffeq ⭐ 25

Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and custom information operators. Compatible with the broader JAX scientific computing ecosystem.

Corax: Core RL in JAX

Train large Huggingface models with flexible data/model parallelism in Flax/JAX

Ml Optimizers Jax ⭐ 23

Toy implementations of some popular ML optimizers using Python/JAX

A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.

Stainless neural networks in JAX

a modular reinforcement learning library with JAX agents

Conservative Q learning in Jax

Provides differentiable versions of common HEP operations and objectives.

Solve sparse linear systems in JAX using the KLU algorithm

Susiepca ⭐ 20

Scalable Ultra-Sparse Bayesian PCA

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