Alternatives and similar repositories for scnn

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

• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆165Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆20Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆63Updated 2 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆55Updated 3 months ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 8 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• 392781 / scikit-ntk
  Neural Tangent Kernel (NTK) module for the scikit-learn library
  ☆25Updated last year
• pilancilab / convex_nn
  ☆18Updated 4 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• ml-jku / DIffUCO
  ☆63Updated 2 months ago
• NicolasZucchet / minimal-LRU
  Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)
  ☆61Updated 4 months ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆175Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆152Updated last month
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆56Updated 2 months ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 3 years ago
• Benjamin-Walker / log-neural-cdes
  Code for "Log Neural Controlled Differential Equations" (ICML 2024) and "Structured Linear CDEs" (NeurIPS 2025, Spotlight)
  ☆28Updated 3 weeks ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆158Updated last year
• druidowm / OccamNet_Public
  ☆19Updated 3 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated last year
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆99Updated 8 months ago
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆81Updated last year
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆64Updated this week
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year