martius-lab / blackbox-backprop
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
☆344Updated 3 years ago
Alternatives and similar repositories for blackbox-backprop:
Users that are interested in blackbox-backprop are comparing it to the libraries listed below
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- Contrastive Learning of Structured World Models☆390Updated 4 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆335Updated 5 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆414Updated 2 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆578Updated 3 months ago
- The Differentiable Cross-Entropy Method☆126Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models☆746Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆673Updated 3 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆142Updated 2 years ago
- ☆241Updated 2 years ago
- ☆101Updated 4 years ago
- ☆122Updated 10 months ago
- Pytorch implementation of Neural Processes for functions and images☆229Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆241Updated last month
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 3 years ago
- hessian in pytorch☆187Updated 4 years ago
- ☆214Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆422Updated 2 years ago
- Fast Differentiable Sorting and Ranking☆600Updated last year
- Geometric loss functions between point clouds, images and volumes☆622Updated last week
- The release codes of LA-MCTS with its application to Neural Architecture Search.☆474Updated 2 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Deep Declarative Networks☆243Updated 2 months ago
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Hypergradient descent☆145Updated 10 months ago
- Pytorch implementation of set transformer☆582Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆459Updated last year
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆441Updated 6 years ago