Alternatives and similar repositories for sparse_recovery

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

• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• mesuvash / pyrec
  ☆10Updated 8 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
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• Timonzimm / poincare-embedding
  Poincaré Embeddings for Learning Hierarchical Representations (https://arxiv.org/abs/1705.08039) in PyTorch
  ☆15Updated 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
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• lateral / poincare-embeddings
  A multi-threaded C++ implementation of Nickel & Kiela's "Poincare Embeddings" paper from NIPS 2017, following the implementation of the a…
  ☆17Updated 7 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 10 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• stwisdom / sista-rnn
  Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding
  ☆14Updated 8 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 7 years ago
• nguyenkh / NeuralDenoising
  Neural-based Noise Filtering from Word Embeddings
  ☆11Updated 8 years ago
• Bollegala / svdmi
  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
  ☆24Updated 7 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 6 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago