jkuck / BPNNLinks
☆22Updated 3 years ago
Alternatives and similar repositories for BPNN
Users that are interested in BPNN are comparing it to the libraries listed below
Sorting:
- Factor Graph Neural Network☆73Updated 4 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated last year
- ☆40Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 6 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 3 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- ☆49Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆22Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- ☆51Updated 11 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 6 years ago
- ☆36Updated 3 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- ☆38Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 4 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆68Updated 3 years ago
- ☆30Updated 4 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆25Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 8 months ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 6 years ago
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago