HEmile / storchasticLinks
Stochastic Automatic Differentiation library for PyTorch.
☆204Updated 9 months ago
Alternatives and similar repositories for storchastic
Users that are interested in storchastic are comparing it to the libraries listed below
Sorting:
- ☆99Updated 3 years ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Differentiable Sorting Networks☆115Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated last year
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆168Updated 10 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆55Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- ☆101Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- ☆49Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Normalizing Flows using JAX☆83Updated last year
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 6 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- ☆241Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆52Updated last year