cschaffner / InformationTheoryLinks
Documents for Information Theory used in Master of Logic course Information Theory at the UvA
☆37Updated 4 years ago
Alternatives and similar repositories for InformationTheory
Users that are interested in InformationTheory are comparing it to the libraries listed below
Sorting:
- Interactively retrieve data from sacred experiments.☆82Updated 2 weeks ago
- ☆32Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- DjLu (pronounced DéjàLu, with a French accent) is a simple and free tool to organize research papers.☆57Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- ☆170Updated last year
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Lagrangian VAE☆28Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Compile markdown into an html and pdf book based on pandoc.☆195Updated 3 years ago
- ☆115Updated last year
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago