fabianp / overview_optalgs
☆30Updated 4 years ago
Alternatives and similar repositories for overview_optalgs
Users that are interested in overview_optalgs are comparing it to the libraries listed below
Sorting:
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 2 weeks ago
- Off the convex path☆67Updated 2 years ago
- ☆11Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆12Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- ☆24Updated 9 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 10 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 9 years ago
- ☆45Updated 5 years ago