tensorflow/compression
Data compression in TensorFlow
This project helps machine learning engineers or researchers efficiently store and transmit large datasets like images, audio, or sensor readings by compressing them within their TensorFlow models. It takes raw data and outputs a much smaller, optimized bitstream that retains most of the original quality when decompressed. This allows for reduced storage costs and faster data transfer for anyone working with ML models that process large data volumes.
910 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are a machine learning engineer building models in TensorFlow and need to optimize the storage footprint or transmission bandwidth of your model's inputs, features, or outputs.
Not ideal if you need a general-purpose file compression tool for non-ML data or are not working within the TensorFlow ecosystem.
Stars
910
Forks
260
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 15, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tensorflow/compression"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
InterDigitalInc/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained...
baler-collaboration/baler
Repository of Baler, a machine learning based data compression tool
thulab/DeepHash
An Open-Source Package for Deep Learning to Hash (DeepHash)
zhanghang1989/PyTorch-Encoding
A CV toolkit for my papers.