locuslab / deqLinks
[NeurIPS'19] Deep Equilibrium Models
☆786Updated 3 years ago
Alternatives and similar repositories for deq
Users that are interested in deq are comparing it to the libraries listed below
Sorting:
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Updated 5 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Updated 4 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆602Updated last month
- Constrained optimization toolkit for PyTorch☆706Updated 5 months ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆906Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,011Updated 4 years ago
- Geometric loss functions between point clouds, images and volumes☆674Updated 9 months ago
- Official Code for Invertible Residual Networks☆535Updated last year
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,027Updated 5 months ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆362Updated 2 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆427Updated 3 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Updated 3 years ago
- A PyTorch implementation of L-BFGS.☆624Updated 2 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆383Updated last year
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆348Updated 4 years ago
- Fast Differentiable Sorting and Ranking☆614Updated last year
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- Pytorch implementation of Augmented Neural ODEs☆555Updated 2 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Pytorch implementation of set transformer☆647Updated 5 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆381Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆241Updated 7 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆476Updated 2 years ago