hyper-parameter-optimization topic

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

D-X-Y

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

openvinotoolkit

An autoML framework & toolkit for machine learning on graphs.

THUMNLab

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

cansyl

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

PKU-DAIR

Generalized and Efficient Blackbox Optimization System [SIGKDD'21].

PKU-DAIR

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learni...

sharmaroshan

A paper collection about automated graph learning

THUMNLab

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

timzatko