pronobis / libspn-kerasLinks
Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
☆48Updated 4 years ago
Alternatives and similar repositories for libspn-keras
Users that are interested in libspn-keras are comparing it to the libraries listed below
Sorting:
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Repository of models in Pyro☆29Updated 11 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- ☆169Updated 11 months ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- Variational inference for hierarchical dynamical systems☆48Updated 11 months ago
- ☆52Updated last year
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- ☆49Updated 4 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- ☆51Updated 11 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Updated 6 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 9 months ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago