Alternatives and similar repositories for InfoFeatureSelection

Users that are interested in InfoFeatureSelection are comparing it to the libraries listed below

• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 11 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• ExpectationBackpropagation / EBP_Matlab_Code
  ☆11Updated 10 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 7 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 8 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 5 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 11 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• ermongroup / BiasAndGeneralization
  ☆28Updated 6 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• wgrathwohl / BackpropThroughTheVoidRL
  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
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 5 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 10 years ago