Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Nni | 13,701 | 8 | 27 | a month ago | 55 | September 14, 2023 | 342 | mit | Python | |
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. | ||||||||||
Model Optimization | 1,445 | 3 | 27 | 3 months ago | 30 | May 26, 2023 | 207 | apache-2.0 | Python | |
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning. | ||||||||||
Lightctr | 599 | 5 years ago | 1 | apache-2.0 | C++ | |||||
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication. | ||||||||||
Kd_lib | 476 | a year ago | 8 | May 18, 2022 | 18 | mit | Python | |||
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization. | ||||||||||
Archai | 428 | 7 months ago | 9 | September 15, 2023 | 2 | mit | Python | |||
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. | ||||||||||
Awesome Ml Model Compression | 378 | 9 months ago | mit | |||||||
Awesome machine learning model compression research papers, tools, and learning material. | ||||||||||
Jfasttext | 215 | 8 | 3 | a year ago | 5 | May 29, 2023 | 46 | other | Java | |
Java interface for fastText | ||||||||||
Awesome Ai Infrastructures | 171 | 5 years ago | ||||||||
Infrastructures™ for Machine Learning Training/Inference in Production. | ||||||||||
Keras_compressor | 152 | 5 years ago | 11 | Python | ||||||
Model Compression CLI Tool for Keras. | ||||||||||
Allie | 126 | 7 months ago | 70 | apache-2.0 | Python | |||||
🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required. |