YinTat / optimizationbookLinks
☆149Updated this week
Alternatives and similar repositories for optimizationbook
Users that are interested in optimizationbook are comparing it to the libraries listed below
Sorting:
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated 3 months ago
- About A collection of AWESOME things about information geometry Topics☆176Updated last year
- Repository for my convex optimization course.☆53Updated 4 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆134Updated last year
- ☆241Updated 3 years ago
- ☆141Updated last month
- Folklore facts on probability distribution learning, testing, and whatever-ing☆268Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆164Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- Compositional Linear Algebra☆506Updated 5 months ago
- Visualization of numerical optimization algorithms☆97Updated 5 years ago
- Interactive textbook on state-space models☆201Updated 2 years ago
- Open source code for EigenGame.☆34Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆225Updated last year
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆406Updated this week
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆95Updated this week
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Sketched linear operations for PyTorch☆100Updated 3 months ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆135Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆70Updated 8 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆151Updated 2 months ago
- Neural network verification in JAX☆144Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Large-scale, multi-GPU capable, kernel solver☆197Updated 6 months ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago