Alternatives and similar repositories for optimizationbook

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

• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆171Updated last year
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆249Updated 2 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
  ☆132Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• tengyuma / cs229m_notes
  ☆240Updated 2 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆190Updated last year
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆268Updated 3 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆161Updated last year
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆619Updated last week
• wilson-labs / cola
  Compositional Linear Algebra
  ☆503Updated 4 months ago
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆36Updated 4 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆223Updated last year
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆134Updated 2 years ago
• bamos / presentations
  ☆141Updated 2 weeks ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆159Updated last year
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆402Updated this week
• jiupinjia / Visualize-Optimization-Algorithms
  Visualization of numerical optimization algorithms
  ☆97Updated 5 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆146Updated 3 weeks ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆98Updated last year
• google-deepmind / mc_gradients
  ☆172Updated last year
• acmi-lab / cmu-10717-the-art-of-the-paper
  Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
  ☆288Updated 3 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 7 months ago
• bobby-he / Neural_Tangent_Kernel
  ☆68Updated 6 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆149Updated last year
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆93Updated last week