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 4 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 5 years ago
• bits-back / bits-back
  ☆150Updated 2 years ago
• j-towns / craystack
  Compression tools for machine learning researchers
  ☆85Updated 2 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…
  ☆98Updated 5 years ago
• google-research / perceptual-quality
  Perceptual quality metrics for TensorFlow
  ☆43Updated 2 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆78Updated 5 years ago
• BorealisAI / rate_distortion
  Evaluating Lossy Compression Rates of Deep Generative Models
  ☆14Updated 4 years ago
• gergely-flamich / relative-entropy-coding
  ☆16Updated 2 years ago
• hilloc-submission / hilloc
  ☆35Updated 5 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 4 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 5 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 6 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 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
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 11 months ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆38Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• YannDubs / lossyless
  Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
  ☆117Updated 2 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Tractables / PressedJuice.jl
  Lossless compression using Probabilistic Circuits
  ☆16Updated 3 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago