bremen79 / parameterfreeLinks
Parameter-Free Optimizers for Pytorch
☆130Updated last year
Alternatives and similar repositories for parameterfree
Users that are interested in parameterfree are comparing it to the libraries listed below
Sorting:
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆136Updated 2 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated 2 weeks ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 3 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Compositional Linear Algebra☆487Updated last week
- Sketched matrix decompositions for PyTorch☆70Updated this week
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated last year
- Riemannian Optimization Using JAX☆51Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆68Updated 2 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Uncertainty quantification with PyTorch☆367Updated 3 months ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- IVON optimizer for neural networks based on variational learning.☆70Updated 9 months ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated last year
- Hierarchical Associative Memory User Experience☆103Updated 3 weeks ago
- Pre-trained Gaussian processes for Bayesian optimization☆94Updated 3 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- Run PyTorch in JAX. 🤝☆268Updated this week
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Large-scale, multi-GPU capable, kernel solver☆190Updated 3 weeks ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 3 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 5 months ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago