NLPrinceton / sparse_recovery
noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing
☆36Updated 7 years ago
Alternatives and similar repositories for sparse_recovery
Users that are interested in sparse_recovery are comparing it to the libraries listed below
Sorting:
- ☆38Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Adaptive optimization procedure☆16Updated 7 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning☆18Updated 3 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- ☆9Updated 9 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆27Updated 2 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 7 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- ☆16Updated 8 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- Official code for ICML 2020 paper "Variational Bayesian Quantization"☆23Updated 2 years ago
- Sampling via Moment Sharing☆11Updated 9 years ago
- Proceedings of ICML 2018☆39Updated 2 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 5 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Large-scale topic discovery with Sampled-MinHashing☆10Updated 5 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- ☆11Updated 5 years ago
- Using Spatial Transformer Layer with keras (theano backend).☆12Updated 8 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Updated 5 years ago