BiuBiuBiLL / InfoFeatureSelectionLinks
Variational Information Maximization for Feature Selection
☆11Updated 9 years ago
Alternatives and similar repositories for InfoFeatureSelection
Users that are interested in InfoFeatureSelection are comparing it to the libraries listed below
Sorting:
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- ☆27Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 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
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- ☆45Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- ☆11Updated 10 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- Conditional Random Fields implemented as Lasagne layer☆10Updated 9 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago