TUM-DAML / semlLinks
SEML: Slurm Experiment Management Library
☆183Updated 2 months ago
Alternatives and similar repositories for seml
Users that are interested in seml are comparing it to the libraries listed below
Sorting:
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆270Updated 2 years ago
- Example of how to use Weights & Biases on Slurm☆117Updated 2 years ago
- ☆274Updated 2 years ago
- ☆214Updated 3 years ago
- Large-scale, multi-GPU capable, kernel solver☆190Updated 3 weeks ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated 2 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Integrate pytorch☆46Updated 4 years ago
- Use Jax functions in Pytorch☆248Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- ☆158Updated last year
- Tools to connect to and interact with the Mila cluster☆75Updated 3 weeks ago
- ☆123Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆625Updated last week
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆91Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- TUI for the Slurm Workload Manager☆190Updated last month
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆135Updated last month
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- ☆62Updated 2 years ago
- WandB sweeps integration with Hydra sweeper☆50Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- TLDRs for ML in Drug Discovery papers☆71Updated 2 years ago