martius-lab / blackbox-backpropLinks
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
☆346Updated 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
Sorting:
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- Contrastive Learning of Structured World Models☆393Updated 5 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆418Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- A manifold optimization library for deep learning☆248Updated 3 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- Hypergradient descent☆149Updated last year
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- ☆124Updated last year
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- ☆293Updated 2 years ago
- ☆214Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models☆756Updated 3 years ago
- ☆274Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 4 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆445Updated 7 years ago
- Deep Declarative Networks☆246Updated 5 months ago
- Efficient PyTorch Hessian eigendecomposition tools!☆375Updated last year
- Efficient reservoir sampling implementation for PyTorch☆106Updated 3 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆71Updated 7 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- ☆123Updated 2 years ago
- Python toolbox for sampling Determinantal Point Processes☆230Updated 11 months ago