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
  ☆282Updated last year
• modula-systems / modula
  🧱 Modula software package
  ☆282Updated last month
• wilson-labs / cola
  Compositional Linear Algebra
  ☆491Updated 2 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆98Updated last week
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆77Updated this week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆290Updated last week
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆23Updated this week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆183Updated 2 weeks ago
• 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…
  ☆25Updated last year
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆290Updated 2 weeks ago
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆282Updated this week
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆104Updated 2 months ago
• nikhilvyas / SOAP
  ☆216Updated 10 months ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆209Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆129Updated 9 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆72Updated 11 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆373Updated this week
• normal-computing / thermox
  Exact OU processes with JAX
  ☆54Updated 6 months ago
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆67Updated this week
• iliao2345 / CompressARC
  ☆188Updated last month
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆93Updated 4 months ago
• blei-lab / circuitry
  ☆14Updated 11 months ago
• jax-ml / jax-llm-examples
  Minimal yet performant LLM examples in pure JAX
  ☆181Updated 2 weeks ago
• evanatyourservice / psgd_jax
  Implementation of PSGD optimizer in JAX
  ☆33Updated 9 months ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆166Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆122Updated 10 months ago