Alternatives and similar repositories for compressor

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

• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated 11 months ago
• yobibyte / report
  Because we don't want a jupyter notebook mess...
  ☆61Updated 2 months ago
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆113Updated 8 months ago
• cgarciae / einop
  ☆60Updated 3 years ago
• Artur-Galstyan / statedict2pytree
  ☆43Updated 3 weeks ago
• google-deepmind / tf2jax
  ☆115Updated last week
• BlackHC / neural_net_checklist
  ☆150Updated last year
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆103Updated last month
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆105Updated last month
• jxbz / agd
  Automatic gradient descent
  ☆210Updated 2 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆108Updated last year
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆71Updated last month
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆369Updated 4 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆283Updated last week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆172Updated 2 years ago
• google-deepmind / synjax
  ☆247Updated 2 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated this week
• bremen79 / precise
  Portfolio REgret for Confidence SEquences
  ☆20Updated 8 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 7 months ago
• google-deepmind / neural_testbed
  ☆191Updated 2 months ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆73Updated 2 years ago
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆47Updated 7 months ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• HenryNdubuaku / nanodl
  A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.
  ☆290Updated last year
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆44Updated 4 years ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆94Updated 3 months ago