Alternatives and similar repositories for hamux

Users that are interested in hamux are comparing it to the libraries listed below

• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆74Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 months ago
• google-deepmind / synjax
  ☆247Updated 3 months ago
• google-deepmind / tf2jax
  ☆115Updated last month
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆113Updated 9 months ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated last year
• jxbz / agd
  Automatic gradient descent
  ☆213Updated 2 years ago
• DSL-Lab / GRBM
  Gaussian-Bernoulli Restricted Boltzmann Machines
  ☆106Updated 2 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆156Updated 11 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• google-deepmind / jaxline
  ☆158Updated last year
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆106Updated 3 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆183Updated last week
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆161Updated 4 years ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆93Updated 4 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆89Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆58Updated last year
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• lhnguyen102 / cuTAGI
  CUDA implementation of Tractable Approximate Gaussian Inference
  ☆41Updated last week
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆142Updated 3 months ago
• IDSIA / modern-srwm
  Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…
  ☆173Updated 3 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆372Updated last week