Alternatives and similar repositories for ssm-book

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

• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆367Updated 3 months ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆164Updated last year
• BlackHC / neural_net_checklist
  ☆150Updated 11 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆215Updated last year
• che-shr-cat / Deep_Learning_with_JAX
  Notebooks for the "Deep Learning with JAX" book
  ☆152Updated last month
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆154Updated 9 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆255Updated last month
• wilson-labs / cola
  Compositional Linear Algebra
  ☆487Updated this week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆849Updated 3 weeks ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆172Updated 2 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆199Updated last month
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆389Updated this week
• google-deepmind / synjax
  ☆247Updated last month
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated 10 months ago
• HenryNdubuaku / nanodl
  A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.
  ☆290Updated 11 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆170Updated last year
• google-deepmind / nanodo
  ☆275Updated last year
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆266Updated 3 weeks ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆117Updated last year
• bamos / presentations
  ☆144Updated 2 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆79Updated last year
• modula-systems / modula
  🧱 Modula software package
  ☆216Updated last week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆67Updated 3 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆42Updated 7 months ago