YannDubs / lossylessLinks
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
β120Updated 3 years ago
Alternatives and similar repositories for lossyless
Users that are interested in lossyless are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of COIN, a framework for compression with implicit neural representations πΈβ153Updated 4 years ago
- Pytorch implementation of COIN++ πβ74Updated 3 years ago
- Perceptual quality metrics for TensorFlowβ43Updated 3 years ago
- β18Updated 3 years ago
- Code for "The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric"β23Updated last year
- Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"β51Updated 2 years ago
- Entropy coding / arithmetic coding for PyTorchβ262Updated 3 years ago
- Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)β64Updated 4 years ago
- Compression with Flows via Local Bits-Back Codingβ40Updated 6 years ago
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compressionβ¦β100Updated 6 years ago
- β13Updated 3 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paperβ105Updated 4 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)β49Updated 2 years ago
- Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"β196Updated 3 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.neβ¦β116Updated 3 years ago
- β16Updated last year
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"β38Updated 4 years ago
- Pytorch implementation of Generative Models as Distributions of Functions πΏβ152Updated 2 years ago
- β63Updated 2 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusionβ200Updated 2 years ago
- β106Updated 3 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochasticallyβ52Updated 3 years ago
- TensorFlow implementation of SwinT-ChARM (Transformer-Based Transform Coding, ICLR 2022)β45Updated 2 years ago
- [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"β84Updated 2 years ago
- [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Modelsβ121Updated 3 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].β18Updated 4 years ago
- Official implementation of "Universal Deep Image Compression via Content-Adaptive Optimization with Adapters" presented at WACV 23 (httpsβ¦β29Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)β91Updated 5 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.β124Updated 3 years ago
- Compression tools for machine learning researchersβ85Updated 2 years ago