Alternatives and similar repositories for ssm-book:

Users that are interested in ssm-book are comparing it to the libraries listed below

• BlackHC / neural_net_checklist
  ☆150Updated 8 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆355Updated 3 weeks ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆177Updated 2 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆202Updated last year
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆475Updated last month
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆815Updated 2 weeks ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆158Updated 10 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆152Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆126Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated last year
• eemlcommunity / PracticalSessions2023
  ☆62Updated last year
• lindermanlab / S5
  ☆290Updated 4 months ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆380Updated this week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆174Updated this week
• google-deepmind / nanodo
  ☆217Updated 9 months ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆103Updated last year
• che-shr-cat / JAX-in-Action
  Notebooks for the "JAX in Action" book
  ☆147Updated 10 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆410Updated 2 weeks ago
• srush / Autodiff-Puzzles
  ☆431Updated 6 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆190Updated last year
• google-deepmind / synjax
  ☆246Updated 7 months ago
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆272Updated 11 months ago
• bamos / presentations
  ☆145Updated last week
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• SamsungLabs / BayesDLL
  ☆146Updated last year
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆507Updated 3 weeks ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆58Updated last year
• vtabbott / Algebraic-NCD
  A package for defining deep learning models using categorical algebraic expressions.
  ☆60Updated 9 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆188Updated last month