jkuck / BPNNLinks
☆23Updated 4 years ago
Alternatives and similar repositories for BPNN
Users that are interested in BPNN are comparing it to the libraries listed below
Sorting:
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆179Updated 6 years ago
- Factor Graph Neural Network☆74Updated 4 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Updated 5 months ago
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 5 years ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- ☆43Updated 2 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- ☆171Updated last year
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Learning local search heuristics for Boolean satisfiability☆37Updated last year
- A manifold optimization library for deep learning☆249Updated 4 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆92Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆247Updated 3 weeks ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Reproduction of AlphaTensor paper for 2x2 matrices☆16Updated last year
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆89Updated 7 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 3 years ago
- ☆48Updated 2 years ago