AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
-
Updated
Feb 8, 2025 - Python
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Ergonomic machine learning for everyone.
MLBox is a powerful Automated Machine Learning python library.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
The practitioner's forecasting library
Asynchronous Distributed Hyperparameter Optimization.
NSGA-Net, a Neural Architecture Search Algorithm
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
aw_nas: A Modularized and Extensible NAS Framework
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
State-of-the art Automated Machine Learning python library for Tabular Data
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
DeepArchitect: Automatically Designing and Training Deep Architectures
A general, modular, and programmable architecture search framework
An intelligent, flexible grammar of machine learning.
Real-time explainable machine learning for business optimisation
CLI-based tool to automatically build ML models from training data into a servable Docker container
HyPSTER - HyperParameter optimization on STERoids
An assistive stove-top cooking device with machine vision - for domestic automation research
Add a description, image, and links to the auto-ml topic page so that developers can more easily learn about it.
To associate your repository with the auto-ml topic, visit your repo's landing page and select "manage topics."