benjamin-recht / shallow-linear-netLinks
☆32Updated 7 years ago
Alternatives and similar repositories for shallow-linear-net
Users that are interested in shallow-linear-net are comparing it to the libraries listed below
Sorting:
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆90Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- ☆219Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Updated 9 years ago
- AI-ON Consciousness Prior☆96Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆133Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆207Updated 9 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- ☆115Updated last year
- Deep GPs with GPy☆31Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Off the convex path☆67Updated 2 years ago