Alternatives and similar repositories for ssm-book:

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

• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆201Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆348Updated this week
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆157Updated 9 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆802Updated 2 weeks ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆189Updated 11 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆176Updated 2 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…
  ☆129Updated 2 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆151Updated last year
• HMUNACHI / NanoDL
  A Jax-based library for designing and training small transformers.
  ☆286Updated 7 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆403Updated this week
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• google-deepmind / synjax
  ☆246Updated 6 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆148Updated 6 months ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆375Updated this week
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆79Updated last month
• BlackHC / neural_net_checklist
  ☆150Updated 8 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆122Updated 11 months ago
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆481Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆472Updated 2 weeks ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆254Updated this week
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆489Updated 2 years ago
• google-deepmind / nanodo
  ☆215Updated 9 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆168Updated last year
• lindermanlab / S5
  ☆289Updated 3 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆188Updated 3 weeks ago
• srush / do-we-need-attention
  ☆166Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆173Updated this week
• irregular-rhomboid / EAI-Math-Reading-Group
  Resources from the EleutherAI Math Reading Group
  ☆53Updated last month
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆270Updated 10 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆58Updated last year