fabianp / overview_optalgsLinks
☆30Updated 5 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:
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated this week
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- A Python convex optimization package using proximal splitting methods☆115Updated last week
- Structure learning for sparse graphs with latent variables☆44Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Exponential Machines implementation☆42Updated 6 months ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 4 months ago
- ☆67Updated 7 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
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆65Updated 5 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- ☆24Updated 9 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago