mandt-lab / vbqLinks
Official code for ICML 2020 paper "Variational Bayesian Quantization"
☆23Updated 2 years ago
Alternatives and similar repositories for vbq
Users that are interested in vbq are comparing it to the libraries listed below
Sorting:
- Compression with Flows via Local Bits-Back Coding☆39Updated 5 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 3 years ago
- 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
- ☆35Updated 5 years ago
- ☆146Updated 2 years ago
- Compression tools for machine learning researchers☆84Updated 2 years ago
- ☆16Updated 2 years ago
- Perceptual quality metrics for TensorFlow☆43Updated 2 years ago
- Evaluating Lossy Compression Rates of Deep Generative Models☆14Updated 4 years ago
- Deep generative models for distribution-preserving lossy compression☆33Updated 6 years ago
- Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"☆49Updated last year
- This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'☆21Updated 6 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)☆46Updated 2 years ago
- Code to accompany the paper "Hierarchical Quantized Autoencoders"☆37Updated last year
- Dataset code for "Hierarchical Autoregressive Modeling for Neural Video Compression"☆12Updated 4 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Official repo for the ICLR22 paper "Towards Empirical Sandwich Bounds on the Rate-Distortion Function"☆11Updated 2 years ago
- ☆10Updated 5 years ago
- Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸☆149Updated 4 years ago
- ☆42Updated 6 years ago
- PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"☆62Updated last year
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders☆47Updated 4 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Pytorch implementation of COIN++ 🍁☆72Updated 2 years ago
- Deep learning for video compression.☆43Updated 5 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated 10 months ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago