martius-lab / blackbox-backprop
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
☆340Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for blackbox-backprop
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆405Updated 2 years ago
- Contrastive Learning of Structured World Models☆388Updated 4 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆86Updated 3 years ago
- The Differentiable Cross-Entropy Method☆123Updated 4 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆134Updated last year
- Differentiable Optimization-Based Modeling for Machine Learning☆326Updated 5 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆152Updated 2 months ago
- Efficient reservoir sampling implementation for PyTorch☆104Updated 3 years ago
- Pytorch implementation of set transformer☆546Updated 4 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆236Updated last year
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- A PyTorch Library for Reinforcement Learning Research☆196Updated last year
- [NeurIPS'19] Deep Equilibrium Models☆727Updated 2 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆233Updated 3 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆65Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆284Updated last year
- hessian in pytorch☆186Updated 4 years ago
- ☆119Updated 5 months ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆515Updated 4 years ago
- ☆213Updated 2 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆77Updated last year
- A fast and differentiable QP solver for PyTorch.☆689Updated 2 months ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆417Updated 2 years ago
- The release codes of LA-MCTS with its application to Neural Architecture Search.☆463Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆225Updated 2 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆364Updated 8 months ago
- ☆113Updated 5 years ago