Alternatives and similar repositories for eigengame

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

• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• google-deepmind / tf2jax
  ☆114Updated 3 weeks ago
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆41Updated 6 months ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆70Updated 3 weeks ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆22Updated 6 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• AakashKumarNain / mistral_jax
  This is a port of Mistral-7B model in JAX
  ☆32Updated 11 months ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆112Updated 3 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆27Updated 8 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆58Updated last year
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 weeks ago
• Artur-Galstyan / statedict2pytree
  ☆43Updated 3 weeks ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆87Updated last month
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• wiseodd / laplace-bayesopt
  Laplace approximated BNN surrogate for BoTorch
  ☆8Updated 7 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆177Updated 2 weeks ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆66Updated last month
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆19Updated 3 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆83Updated last year
• evanatyourservice / psgd_jax
  Implementation of PSGD optimizer in JAX
  ☆33Updated 5 months ago
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated 9 months ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated last month