tuero / perturbations-differential-pytorchLinks
Differentiable Optimizers with Perturbations in Pytorch
☆67Updated 4 years ago
Alternatives and similar repositories for perturbations-differential-pytorch
Users that are interested in perturbations-differential-pytorch are comparing it to the libraries listed below
Sorting:
- Meta Optimal Transport☆104Updated 2 years ago
- ☆64Updated last year
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- ☆30Updated 4 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 3 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆102Updated 4 months ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- ☆21Updated 3 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆236Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆52Updated 4 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- ☆133Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆105Updated 5 years ago
- ☆54Updated last year
- Code for "Scale-Equivariant Steerable Networks"☆71Updated 5 years ago
- ☆41Updated 2 years ago
- ☆37Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆55Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆62Updated 2 years ago