Alternatives and similar repositories for optimizationbook

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

• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆173Updated last year
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆134Updated last year
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆249Updated 3 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• tengyuma / cs229m_notes
  ☆240Updated 3 years ago
• 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
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆268Updated 4 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆191Updated last year
• bamos / presentations
  ☆141Updated 3 weeks ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆404Updated 2 weeks ago
• jiupinjia / Visualize-Optimization-Algorithms
  Visualization of numerical optimization algorithms
  ☆97Updated 5 years ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆200Updated last year
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆99Updated last year
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated 2 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆504Updated 5 months ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆158Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆34Updated 2 years ago
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆152Updated last month
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆135Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆152Updated last year
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆51Updated last month
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆106Updated 5 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆95Updated 3 weeks ago