CSCfi / slurm-hyper-search
☆14Updated 3 years ago
Alternatives and similar repositories for slurm-hyper-search:
Users that are interested in slurm-hyper-search are comparing it to the libraries listed below
- ☆34Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Pytorch-like dataloaders for JAX.☆77Updated 5 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆264Updated last week
- diffusionjax is a simple and accessible diffusion models package in JAX☆41Updated 2 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆34Updated 3 weeks ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- ☆49Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated 2 weeks ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- IVON optimizer for neural networks based on variational learning.☆60Updated 4 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- ☆16Updated 6 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Sketched matrix decompositions for PyTorch☆70Updated last week
- Code for the paper https://arxiv.org/abs/2205.14987v2☆48Updated 11 months ago
- A minimalist implementation of score-based diffusion model☆123Updated 3 years ago
- Implementation of Action Matching☆40Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago