y0ast / slurm-for-mlLinks
A Machine Learning workflow for Slurm.
☆149Updated 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
- ☆240Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ☆214Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Normalizing Flows using JAX☆83Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated last year
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- ☆169Updated 11 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆204Updated 10 months ago
- ☆29Updated 4 years ago
- ☆153Updated 5 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆243Updated 4 years ago
- ☆54Updated 11 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated 2 weeks ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- SEML: Slurm Experiment Management Library☆181Updated last month
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆63Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 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 6 months ago
- ☆122Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year