bremen79 / parameterfree
Parameter-Free Optimizers for Pytorch
☆127Updated last year
Alternatives and similar repositories for parameterfree
Users that are interested in parameterfree are comparing it to the libraries listed below
Sorting:
- Agustinus' very opiniated publication-ready plotting library☆64Updated last week
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆38Updated 3 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆100Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆174Updated this week
- A Python package of computer vision models for the Equinox ecosystem.☆103Updated 9 months ago
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆60Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆65Updated last month
- 🧱 Modula software package☆189Updated last month
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 5 months ago
- Pytorch-like dataloaders for JAX.☆82Updated 2 weeks ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Open source code for EigenGame.☆30Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- ☆114Updated this week
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆119Updated last month
- JAX Arrays for human consumption☆92Updated last year
- IVON optimizer for neural networks based on variational learning.☆65Updated 6 months ago
- Compositional Linear Algebra☆476Updated last month
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Lightning-like training API for JAX with Flax☆38Updated 5 months ago
- Hierarchical Associative Memory User Experience☆101Updated last year
- A functional training loops library for JAX☆88Updated last year
- ☆146Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated 3 weeks ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- ☆60Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year