LucaAmbrogioni / GP-CaKe-projectLinks
Bayesian Effective Connectivity
☆54Updated 6 years ago
Alternatives and similar repositories for GP-CaKe-project
Users that are interested in GP-CaKe-project are comparing it to the libraries listed below
Sorting:
- ☆99Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Variational Fourier Features☆85Updated 4 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- ☆68Updated 2 weeks ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Theano implementation of GloVe for graphs☆47Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- ☆74Updated 6 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago