Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
☆357Dec 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☆89Jan 11, 2021Updated 5 years ago
- ☆22Mar 23, 2022Updated 4 years ago
- Repository for the code of our ICLR paper: Backpropagation through Combinatorial Algorithms: Identity with Projection Works☆13Sep 29, 2024Updated 2 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
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Apr 1, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Solving LPs with convergent message passing☆67Jan 24, 2023Updated 3 years ago
- ☆50Oct 22, 2020Updated 6 years ago
- ☆28Mar 25, 2026Updated 7 months 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 4 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 8 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Jun 29, 2021Updated 5 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Jul 20, 2023Updated 3 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.
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆260Oct 29, 2023Updated 3 years ago
- Differentiable convex optimization layers☆2,149Oct 24, 2026Updated last week
- Extensible Combinatorial Optimization Learning Environments☆379Dec 20, 2025Updated 10 months ago
- Constrained optimization toolkit for PyTorch☆712Jun 7, 2026Updated 4 months ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆196Sep 19, 2023Updated 3 years ago
- Cone-Aligned Vector Estimation for End-to-End Binary Linear Programming☆10May 25, 2026Updated 5 months ago
- A fast and differentiable QP solver for PyTorch.☆805Sep 3, 2024Updated 2 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Oct 28, 2022Updated 4 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆268Oct 5, 2025Updated last year
- Combinatorial optimization layers for machine learning pipelines☆133Aug 20, 2026Updated 2 months ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- The Differentiable Cross-Entropy Method☆124Aug 14, 2020Updated 6 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆417Dec 21, 2021Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆33Mar 18, 2024Updated 2 years ago
- Multi-task end-to-end predict-then-optimize☆15Apr 28, 2023Updated 3 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,068Updated this week
- The Juice package for circuits in artificial intelligence, both logic and probabilistic☆12Mar 8, 2022Updated 4 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Jun 10, 2021Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models☆813Jul 4, 2022Updated 4 years ago
- A learnable Meta Optimizer for Combinatorial Optimization☆12Nov 29, 2024Updated last year