HIPS / maxwells-daemonLinks
Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
☆32Updated 9 years ago
Alternatives and similar repositories for maxwells-daemon
Users that are interested in maxwells-daemon are comparing it to the libraries listed below
Sorting:
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- ☆11Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Cephes Mathematical Functions library wrapped for Torch☆47Updated 9 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Updated 10 years ago
- Fun with variational autoencoders.☆11Updated 7 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Updated 8 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- ☆46Updated 11 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆58Updated 9 years ago
- ☆19Updated 7 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago