Alternatives and similar repositories for vbq:

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

• ryoungj / mcbits
  [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
  ☆14Updated 3 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 5 years ago
• jornpeters / integer_discrete_flows
  Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…
  ☆97Updated 5 years ago
• hilloc-submission / hilloc
  ☆35Updated 4 years ago
• gergely-flamich / relative-entropy-coding
  ☆16Updated 2 years ago
• bits-back / bits-back
  ☆145Updated 2 years ago
• cambridge-mlg / miracle
  This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
  ☆21Updated 6 years ago
• google-research / perceptual-quality
  Perceptual quality metrics for TensorFlow
  ☆42Updated 2 years ago
• j-towns / craystack
  Compression tools for machine learning researchers
  ☆84Updated last year
• BorealisAI / rate_distortion
  Evaluating Lossy Compression Rates of Deep Generative Models
  ☆14Updated 4 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 4 years ago
• Tractables / PressedJuice.jl
  Lossless compression using Probabilistic Circuits
  ☆16Updated 3 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆77Updated 4 years ago
• mandt-lab / improving-inference-for-neural-image-compression
  Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"
  ☆49Updated last year
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 5 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 4 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 9 months ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 9 months ago
• choidami / sst
  ☆49Updated 4 years ago