Alternatives and similar repositories for neural_networks_and_computation

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

• google-deepmind / nanodo
  ☆274Updated last year
• modula-systems / modula
  🧱 Modula software package
  ☆207Updated 3 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated this week
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆17Updated 5 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆478Updated last month
• evanatyourservice / psgd_jax
  Implementation of PSGD optimizer in JAX
  ☆33Updated 6 months ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆69Updated last week
• normal-computing / thermox
  Exact OU processes with JAX
  ☆48Updated 3 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆154Updated 9 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆91Updated 4 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆281Updated this week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• Lemon-cmd / energy-transformer-graph
  This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…
  ☆24Updated last year
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆165Updated last month
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆362Updated 3 months ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆164Updated last year
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆273Updated this week
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆90Updated last month
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated last month
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆258Updated 3 weeks ago
• AllanYangZhou / universal_neural_functional
  ☆51Updated last year
• Silent-Zebra / twisted-smc-lm
  ☆29Updated 3 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆171Updated 2 years ago
• GallagherCommaJack / modulax
  ☆17Updated 10 months ago
• yashbonde / rasp
  Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
  ☆56Updated 3 years ago
• stanford-crfm / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆188Updated this week
• plai-group / gsdm
  Graphically structured diffusion model.
  ☆20Updated 2 years ago
• jenkspt / gpt-jax
  Jax/Flax rewrite of Karpathy's nanoGPT
  ☆59Updated 2 years ago