j-towns / craystack

Related projects ⓘ

Alternatives and complementary repositories for craystack

• bits-back / bits-back
  ☆145Updated 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…
  ☆97Updated 4 years ago
• hilloc-submission / hilloc
  ☆36Updated 4 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 4 years ago
• gergely-flamich / relative-entropy-coding
  ☆16Updated last year
• fab-jul / torchac
  Entropy coding / arithmetic coding for PyTorch
  ☆234Updated 2 years ago
• jorge-pessoa / pytorch-gdn
  PyTorch implementation of the Generalized divisive normalization non-linearity layer
  ☆92Updated 3 years ago
• mandt-lab / vbq
  Official code for ICML 2020 paper "Variational Bayesian Quantization"
  ☆23Updated last year
• google-research / perceptual-quality
  Perceptual quality metrics for TensorFlow
  ☆42Updated 2 years ago
• lucastheis / rangecoder
  a fast range coder in C++, using SSE
  ☆66Updated last year
• mandt-lab / RD-sandwich
  Official repo for the ICLR22 paper "Towards Empirical Sandwich Bounds on the Rate-Distortion Function"
  ☆10Updated last year
• zmtomorrow / NeLLoC
  ☆12Updated 2 years ago
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 5 years ago
• fab-jul / RC-PyTorch
  PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"
  ☆59Updated last year
• fhkingma / bitswap
  Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
  ☆264Updated last year
• EmilienDupont / coin
  Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸
  ☆138Updated 3 years ago
• YannDubs / lossyless
  Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
  ☆115Updated 2 years ago
• thierrydumas / autoencoder_based_image_compression
  Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
  ☆19Updated last year
• bamler-lab / constriction
  Entropy coders for research and production in Python and Rust.
  ☆83Updated last week
• mandt-lab / improving-inference-for-neural-image-compression
  Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"
  ☆46Updated last year
• google / codex
  Data compression in JAX
  ☆56Updated last month
• zhiqiang-zhu / Image-Compression-Papers-and-Code
  ☆59Updated 5 years ago
• ayziksha / DSIN
  Deep Image Compression using Decoder Side Information (ECCV 2020)
  ☆46Updated last year
• fraunhoferhhi / DeepCABAC
  ☆59Updated 2 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• BorealisAI / rate_distortion
  Evaluating Lossy Compression Rates of Deep Generative Models
  ☆14Updated 3 years ago
• InterDigitalInc / SADL
  ☆14Updated last year
• Nikolai10 / SwinT-ChARM
  TensorFlow implementation of SwinT-ChARM (Transformer-Based Transform Coding, ICLR 2022)
  ☆37Updated last year
• google-deepmind / c3_neural_compression
  ☆55Updated 6 months ago
• fab-jul / L3C-PyTorch
  PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
  ☆400Updated last year