HIPS / hips-libLinks
Library of common tools for machine learning research. 
☆41Updated 7 years ago
Alternatives and similar repositories for hips-lib
Users that are interested in hips-lib are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- ☆99Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- ☆155Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Exponential Machines implementation☆42Updated 7 months ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- An extension of the barnes-hut t-sne by Laurens van der Maaten using cuda☆25Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ☆24Updated 9 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 6 months ago
- Functional ANOVA☆27Updated 10 years ago