YinTat / optimizationbookLinks
☆151Updated last week
Alternatives and similar repositories for optimizationbook
Users that are interested in optimizationbook are comparing it to the libraries listed below
Sorting:
- Repository for my convex optimization course.☆53Updated 5 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated 4 months ago
- About A collection of AWESOME things about information geometry Topics☆178Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆137Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆164Updated last year
- Folklore facts on probability distribution learning, testing, and whatever-ing☆269Updated 5 months ago
- ☆141Updated last month
- ☆242Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- Compositional Linear Algebra☆506Updated 6 months ago
- LaTeX style file for the Journal of Machine Learning Research☆163Updated last year
- Interactive textbook on state-space models☆202Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- ☆172Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆109Updated last year
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆98Updated this week
- Collect optimizer related papers, data, repositories☆99Updated last year
- Visualization of numerical optimization algorithms☆97Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆623Updated last week
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆152Updated 2 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆14Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆107Updated 5 years ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆406Updated this week
- Large-scale, multi-GPU capable, kernel solver☆197Updated 6 months ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated 2 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆135Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆190Updated 3 weeks ago