fabianp / DSOML_2017Links
☆12Updated 8 years ago
Alternatives and similar repositories for DSOML_2017
Users that are interested in DSOML_2017 are comparing it to the libraries listed below
Sorting:
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Gaussian Processes in Pytorch☆76Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 5 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆103Updated 5 years ago
- Tools for loading standard data sets in machine learning☆206Updated 3 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Advances in Approximate Bayesian Inference Symposium☆50Updated 3 weeks ago
- Doubly Stochastic Neighbor Embedding on Spheres☆60Updated 6 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Updated 7 years ago
- Bayesian Effective Connectivity☆54Updated 7 years ago