Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
☆355Dec 21, 2021Updated 4 years ago
Alternatives and similar repositories for blackbox-backprop
Users that are interested in blackbox-backprop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Jan 11, 2021Updated 5 years ago
- ☆21Mar 23, 2022Updated 4 years ago
- Solving LPs with convergent message passing☆67Jan 24, 2023Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Apr 28, 2022Updated 4 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Nov 20, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆50Oct 22, 2020Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Apr 1, 2022Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆435Nov 22, 2022Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 3 years ago
- ☆27Mar 25, 2026Updated 5 months ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Jun 29, 2021Updated 5 years ago
- Constrained optimization toolkit for PyTorch☆710Jun 7, 2026Updated 2 months ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 8 years ago
- A fast and differentiable QP solver for PyTorch.☆800Sep 3, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Extensible Combinatorial Optimization Learning Environments☆377Dec 20, 2025Updated 8 months ago
- Differentiable convex optimization layers☆2,130May 19, 2026Updated 3 months ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- The Differentiable Cross-Entropy Method☆124Aug 14, 2020Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆196Sep 19, 2023Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 6 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Oct 28, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,626Mar 25, 2022Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆263Oct 5, 2025Updated 10 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆260Oct 29, 2023Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- ☆31Nov 27, 2024Updated last year
- Differentiable Optimization-Based Modeling for Machine Learning☆352Oct 28, 2019Updated 6 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,060Jun 4, 2026Updated 2 months ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32May 31, 2016Updated 10 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Fast Differentiable Sorting and Ranking☆622Feb 15, 2024Updated 2 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆156Dec 21, 2019Updated 6 years ago
- ☆24Feb 8, 2024Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Jul 20, 2023Updated 3 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆417Dec 21, 2021Updated 4 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Jul 11, 2023Updated 3 years ago