mandt-lab / vbqLinks
Official code for ICML 2020 paper "Variational Bayesian Quantization"
☆24Updated 2 years ago
Alternatives and similar repositories for vbq
Users that are interested in vbq are comparing it to the libraries listed below
Sorting:
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- Compression with Flows via Local Bits-Back Coding☆40Updated 6 years ago
- ☆153Updated 3 years ago
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆100Updated 5 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆79Updated 5 years ago
- ☆42Updated 6 years ago
- Evaluating Lossy Compression Rates of Deep Generative Models☆14Updated 4 years ago
- Perceptual quality metrics for TensorFlow☆43Updated 3 years ago
- Compression tools for machine learning researchers☆85Updated 2 years ago
- ☆35Updated 5 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Code to accompany the paper "Hierarchical Quantized Autoencoders"☆37Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆22Updated 5 years ago
- This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'☆22Updated 7 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- ☆29Updated 4 years ago
- ☆25Updated last year
- Non official pytorch implementation of i-Resnet, invertible residual networks.☆25Updated 3 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- This repository implements the latent optimization using automatic differentiation from the paper LOGAN.☆11Updated 5 years ago
- CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders☆47Updated 5 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- ☆30Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated last year
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago