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
• BorealisAI / rate_distortion
  Evaluating Lossy Compression Rates of Deep Generative Models
  ☆14Updated 4 years ago
• bits-back / bits-back
  ☆151Updated 3 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 4 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆78Updated 5 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
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• google-research / perceptual-quality
  Perceptual quality metrics for TensorFlow
  ☆43Updated 2 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 5 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 7 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 6 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• haimengzhao / CAE-ADMM
  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
  ☆47Updated 5 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated last year
• hilloc-submission / hilloc
  ☆35Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 7 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆63Updated 4 years ago
• horacepan / CCN
  Sample pytorch implementation of Covariant Compositional Networks
  ☆13Updated 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'
  ☆23Updated 6 years ago
• rafaelbidese / LOGAN
  This repository implements the latent optimization using automatic differentiation from the paper LOGAN.
  ☆11Updated 5 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago