Alternatives and similar repositories for neural_testbed

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

• google-deepmind / tf2jax
  ☆115Updated last month
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆104Updated 3 months ago
• google-deepmind / physical_concepts
  ☆108Updated 3 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆114Updated 3 years ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆40Updated last year
• google-deepmind / enn
  ☆311Updated 7 months ago
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆33Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• google-deepmind / jaxline
  ☆158Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• probml / JSL
  Jax SSM Library
  ☆48Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆89Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆131Updated last year
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• mle-infrastructure / mle-scheduler
  Lightweight Cluster/Cloud VM Job Management 🚀
  ☆42Updated last year
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆33Updated 3 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆74Updated 3 months ago