Neural Data Compression ML Frameworks
Tools, libraries, and frameworks for compressing data (images, video, audio, state-space models, KV-cache) using deep learning and neural networks. Does NOT include lossless compression algorithms, hashing/retrieval methods, or general-purpose compression utilities.
There are 57 neural data compression frameworks tracked. 1 score above 70 (verified tier). The highest-rated is InterDigitalInc/CompressAI at 84/100 with 1,535 stars and 9,461 monthly downloads. 3 of the top 10 are actively maintained.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
InterDigitalInc/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research |
|
Verified |
| 2 |
quic/aimet
AIMET is a library that provides advanced quantization and compression... |
|
Established |
| 3 |
tensorflow/compression
Data compression in TensorFlow |
|
Established |
| 4 |
baler-collaboration/baler
Repository of Baler, a machine learning based data compression tool |
|
Emerging |
| 5 |
thulab/DeepHash
An Open-Source Package for Deep Learning to Hash (DeepHash) |
|
Emerging |
| 6 |
zhanghang1989/PyTorch-Encoding
A CV toolkit for my papers. |
|
Emerging |
| 7 |
Orange-OpenSource/Cool-Chic
Low-complexity neural image & video codec. |
|
Emerging |
| 8 |
ShichenLiu/CondenseNet
CondenseNet: Light weighted CNN for mobile devices |
|
Emerging |
| 9 |
murufeng/awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such... |
|
Emerging |
| 10 |
thuml/HashNet
Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017) |
|
Emerging |
| 11 |
kevinlin311tw/Caffe-DeepBinaryCode
Supervised Semantics-preserving Deep Hashing (TPAMI18) |
|
Emerging |
| 12 |
kodejuice/arithmetic-compressor
Arithmetic coding library with statistical models like PPM and Context... |
|
Emerging |
| 13 |
sniklaus/pytorch-liteflownet
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version |
|
Emerging |
| 14 |
Justin-Tan/high-fidelity-generative-compression
Pytorch implementation of High-Fidelity Generative Image Compression +... |
|
Emerging |
| 15 |
InterDigitalInc/CompressAI-Vision
CompressAI-Vision helps you design, test and compare Video Compression for... |
|
Emerging |
| 16 |
kamwoh/orthohash
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep... |
|
Emerging |
| 17 |
jianghaojun/CondenseNetV2
[CVPR 2021] CondenseNet V2: Sparse Feature Reactivation for Deep Networks |
|
Emerging |
| 18 |
luyug/GC-DPR
Train Dense Passage Retriever (DPR) with a single GPU |
|
Emerging |
| 19 |
facebookresearch/NeuralCompression
A collection of tools for neural compression enthusiasts. |
|
Emerging |
| 20 |
keyu-tian/SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any... |
|
Emerging |
| 21 |
jingtaozhan/JPQ
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with... |
|
Emerging |
| 22 |
caoyue10/DeepHash-Papers
Must-read papers on deep learning to hash (DeepHash) |
|
Emerging |
| 23 |
tianyili2017/HEVC-Complexity-Reduction
Source programs to test the deep-learning-based complexity reduction... |
|
Emerging |
| 24 |
SYSU-Video/VP-JND
VP-JND: Visual Perception Assisted Deep Picture-Wise Just Noticeable... |
|
Emerging |
| 25 |
VITA-Group/SLaK
[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51... |
|
Emerging |
| 26 |
youngkyunJang/SPQ
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021 |
|
Emerging |
| 27 |
Ending2015a/hash-grid-encoding
Pure PyTorch implementation of Nvidia's hash grid encoding:... |
|
Emerging |
| 28 |
activatedgeek/tight-pac-bayes
Code for PAC-Bayes Compression Bounds So Tight That They Can Explain... |
|
Emerging |
| 29 |
flasonil/Deep-Neural-Network-for-CS-based-signal-reconstruction-on-STM32-MCU-board
Compressed Sensing signal decoding with DNN oracle on STM32 |
|
Experimental |
| 30 |
WenxueCui/Deep-Image-Compression-Video-Coding
Recent papers and codes related to deep learning/deep neural network based... |
|
Experimental |
| 31 |
ppingzhang/Awesome-Deep-Learning-Based-Video-Compression
Paper list: deep learning based video compression |
|
Experimental |
| 32 |
tokkiwa/FlashGMM
Official repository for the paper “FlashGMM: Fast Gaussian Mixture Entropy... |
|
Experimental |
| 33 |
thaiminhpv/RelaHash
Official implementation of IEEE Access 2023 paper: "RelaHash: Deep Hashing... |
|
Experimental |
| 34 |
Snickrr/Auto-Target-Encoder
An ML-powered GUI for automated, quality-targeted AV1 batch encoding. |
|
Experimental |
| 35 |
K0EKJE/CNN_compression_with_Tensor_Decomposition
Research in compressing convolutional layers of CNN using low-rank Tucker... |
|
Experimental |
| 36 |
Guaishou74851/CASNet
(TIP 2022) Content-Aware Scalable Deep Compressed Sensing [PyTorch] |
|
Experimental |
| 37 |
camail-official/compressm
This is the official repository for the ICLR 2026 paper "The Curious Case of... |
|
Experimental |
| 38 |
Shiweiliuiiiiiii/In-Time-Over-Parameterization
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time... |
|
Experimental |
| 39 |
Nikolai10/MRIC
TensorFlow implementation of MRIC (Multi-Realism Image Compression with a... |
|
Experimental |
| 40 |
nagu-io/CompressX
Compress any LLM to 25% of its size. Open source pipeline using... |
|
Experimental |
| 41 |
hussin2323332/slrm-lumin-fusion
🔍 Compress datasets efficiently with Lumin Fusion, a logical engine that... |
|
Experimental |
| 42 |
youngkyunJang/Deep-Hash-Distillation
Deep Hash Distillation for Image Retrieval - ECCV 2022 |
|
Experimental |
| 43 |
Guaishou74851/PCNet
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch] |
|
Experimental |
| 44 |
Guaishou74851/SCNet
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch] |
|
Experimental |
| 45 |
SYSU-Video/Learning-to-Predict-Object-Wise-Just-Recognizable-Distortion-for-Image-and-Video-Compression
Learning to Predict Object-Wise Just Recognizable Distortion for Image and... |
|
Experimental |
| 46 |
SYSU-Video/LFIC-DRASC
LFIC-DRASC: Deep Light Field Image Compression Using Disentangled... |
|
Experimental |
| 47 |
VITA-Group/SMC-Bench
[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks... |
|
Experimental |
| 48 |
WesleyHsieh0806/C3-SL
C3-SL: Circular Convolution-Based Batch-Wise Compression for... |
|
Experimental |
| 49 |
jhagnberger/vcnef
[ICML 2024] Official PyTorch implementation of the Vectorized Conditional... |
|
Experimental |
| 50 |
LuizScarlet/FSDALIC
[AAAI 2025] Few-Shot Domain Adaptation for Learned Image Compression |
|
Experimental |
| 51 |
Solar-cmd/neural-arithmetic-compression
LLM-driven arithmetic coder that uses next-token probability distributions... |
|
Experimental |
| 52 |
SamXavii902/VideoCompressor
An advanced, inter-frame video compression suite featuring AI-accelerated... |
|
Experimental |
| 53 |
lilucse/SparseNetwork4DRL
[ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep... |
|
Experimental |
| 54 |
Little-Podi/Learned_Compression
This repository is a paper digest of DNN-based approaches in data compression tasks. |
|
Experimental |
| 55 |
lingyzhu0101/Awesome_GLC
[Paper List‘25] Paper list of Generative Image Compression (GIC), Generative... |
|
Experimental |
| 56 |
Infi-09/HIFIC-Image-Compression
Pytorch implementation of High-Fidelity Generative Image Compression |
|
Experimental |
| 57 |
ErfanEbEsf/ZFPU_Net
Code and data associated with the paper: E. Ebrahim Esfahani and A. Khadem,... |
|
Experimental |