Alternatives and similar repositories for generalized-lloyd-quantization

Users that are interested in generalized-lloyd-quantization are comparing it to the libraries listed below

• wadayama / TISTA
  Trainable ISTA for sparse signal recovery
  ☆42Updated 7 years ago
• VITA-Group / LISTA-CPSS
  [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…
  ☆64Updated 4 years ago
• haimengzhao / CAE-ADMM
  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
  ☆47Updated 5 years ago
• po0ya / csgan
  Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
  ☆31Updated 7 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆40Updated 6 years ago
• mandt-lab / vbq
  Official code for ICML 2020 paper "Variational Bayesian Quantization"
  ☆24Updated 3 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆23Updated 5 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆73Updated 4 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 7 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• samirasamadi / Fair-PCA
  Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"
  ☆28Updated 2 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• git-xp / Non-Convex-Newton
  ☆15Updated 7 years ago
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆80Updated 3 years ago
• minhnhat93 / lfa_sc
  Matlab implementation of the paper "Learning fast approximations of sparse coding"
  ☆31Updated 10 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆17Updated 10 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 7 years ago
• rodms / opticalfibreml
  Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…
  ☆19Updated 7 years ago
• VITA-Group / ALISTA
  [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…
  ☆77Updated 4 years ago
• nwbirnie / rpca
  Robust Prinicipal Components in Python
  ☆63Updated 7 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 6 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated 2 years ago
• sihan-zeng / f-csrg
  Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"
  ☆10Updated 5 years ago
• aaberdam / AdaLISTA
  Ada-LISTA: Learned Solvers Adaptive to Varying Models
  ☆11Updated 5 years ago
• ioangatop / srVAE
  VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
  ☆77Updated 5 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆21Updated last year
• rajeev595 / image-compression
  Image compression using Variational Autoencoder and Generative Adversarial Networks.
  ☆11Updated 6 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆20Updated 6 years ago
• jsulam / Online-Dictionary-Learning-demo
  ☆41Updated 7 years ago
• tomMoral / AdaptiveOptim
  Adaptive optimization procedure
  ☆16Updated 7 years ago