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
• bits-back / bits-back
  ☆153Updated 3 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…
  ☆100Updated 6 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆40Updated 6 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• BorealisAI / rate_distortion
  Evaluating Lossy Compression Rates of Deep Generative Models
  ☆14Updated 4 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆79Updated 5 years ago
• j-towns / craystack
  Compression tools for machine learning researchers
  ☆85Updated 2 years ago
• hilloc-submission / hilloc
  ☆35Updated 5 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆22Updated 5 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 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'
  ☆22Updated 7 years ago
• giannisdaras / smyrf
  [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".
  ☆50Updated 2 years ago
• google-research / perceptual-quality
  Perceptual quality metrics for TensorFlow
  ☆43Updated 3 years ago
• gergely-flamich / relative-entropy-coding
  ☆19Updated 3 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated 2 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 7 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 4 years ago
• horacepan / CCN
  Sample pytorch implementation of Covariant Compositional Networks
  ☆13Updated 7 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆27Updated 3 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• cunningham-lab / igr
  ☆30Updated 5 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆21Updated last year
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• mdcnn / CVPR-CLIC-Challenge
  ☆10Updated 5 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆30Updated 7 years ago