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
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- ☆90Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- ☆219Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- AI-ON Consciousness Prior☆94Updated 7 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆128Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Benchmark testbed for assessing the performance of optimisation algorithms☆82Updated 10 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago