tu-rbo / concarne
Lightweight framework for learning with side information (aka privileged information), based on Theano and Lasagne. For more info on learning with side information see http://arxiv.org/abs/1511.06429
☆17Updated 8 years ago
Alternatives and similar repositories for concarne:
Users that are interested in concarne are comparing it to the libraries listed below
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- My PhD Thesis☆22Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Expectation Particle Belief Propagation code☆12Updated 6 years ago
- ☆11Updated 3 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 2 weeks ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆46Updated 8 years ago
- ☆8Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- An attempt to formalize my thoughts. A pythonic approach to mental housekeeping☆15Updated 8 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Fun with variational autoencoders.☆11Updated 7 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- ☆19Updated 8 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- ☆19Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago