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
  ☆153Updated 6 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆52Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆109Updated 9 months ago
• tengyuma / cs229m_notes
  ☆216Updated 2 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆236Updated last year
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆257Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated 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
  ☆80Updated 10 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆456Updated this week
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆86Updated 2 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆140Updated 3 months ago
• locuslab / edge-of-stability
  ☆63Updated last month
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆103Updated 2 weeks ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆128Updated 2 years ago
• SamsungLabs / BayesDLL
  ☆143Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆154Updated last month
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 9 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆182Updated last month
• sbanert / large-scale-material
  Material for the course Large-Scale Convex Optimisation at LTH, autumn 2020
  ☆14Updated 3 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated 4 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆83Updated 5 months ago
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆103Updated 4 years ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆141Updated last year
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆113Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆92Updated 2 months ago
• srush / Autodiff-Puzzles
  ☆413Updated 3 months ago
• damek / gd-lean
  ☆16Updated last year
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆232Updated last year