Alternatives and similar repositories for sparse_recovery:

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

• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 7 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆47Updated 6 years ago
• DavideNardone / Greedy-Adaptive-Dictionary
  Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
  ☆11Updated 6 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 11 years ago
• samirasamadi / Fair-PCA
  Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"
  ☆26Updated last year
• ucla-vision / parle
  ☆38Updated 6 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆41Updated 7 years ago
• ethanhe42 / An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning
  Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  ☆18Updated 3 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆15Updated 9 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• BigBayes / SMS
  Sampling via Moment Sharing
  ☆11Updated 9 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• ayanc / rpgan
  RP-GAN: Stable GAN Training with Random Projections
  ☆21Updated 6 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆24Updated 5 years ago
• zxie / vae
  Variational autoencoder in Theano
  ☆12Updated 7 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• zayd / sparsenet
  Sparse dictionary learning
  ☆29Updated 10 years ago
• fkiaee / sparsecnn
  Implementation of ADMM-based sparse CNN architecture.
  ☆12Updated 7 years ago
• DeepLearningDTU / variational-autoencoders-summerschool-2016
  Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.
  ☆10Updated 8 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 5 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 6 years ago
• spongezhang / Kronecker_Projection
  Kronecker Production Matrix for Approximate Nearest Neighbour Search
  ☆12Updated 9 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago