fabianp / DSOML_2017
☆12Updated 7 years ago
Alternatives and similar repositories for DSOML_2017:
Users that are interested in DSOML_2017 are comparing it to the libraries listed below
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Generative Latent Attentive Sampler☆26Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- ☆17Updated 7 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆10Updated 10 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- ☆30Updated 4 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 3 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ☆12Updated 7 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 7 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 7 years ago
- ☆30Updated 3 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago