y0ast / slurm-for-mlLinks
A Machine Learning workflow for Slurm.
☆150Updated 4 years ago
Alternatives and similar repositories for slurm-for-ml
Users that are interested in slurm-for-ml are comparing it to the libraries listed below
Sorting:
- ☆100Updated 3 years ago
- ☆214Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ☆241Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆126Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆29Updated 4 years ago
- ☆170Updated last year
- Normalizing Flows in Jax☆107Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Normalizing Flows using JAX☆84Updated last year
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 2 months ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Design your own matplotlib stylefile interactively☆216Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ☆54Updated last year
- SEML: Slurm Experiment Management Library☆183Updated 3 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated 11 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Hypergradient descent☆149Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- hessian in pytorch☆187Updated 4 years ago