Project for CS301 F22

HPO for DNN and other ML algorithms

Computer Science 791-025: Real-Time AI & High-Performance Machine Learning

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

SSH backend plugin of Microsoft's nn-Meter for Hardware-aware NAS - effective on Raspberry Pi, Jetson Nano and other SBCs

Model designed to recognize a number with two digits, require by the CADC competition, trained on SVHN dataset, implemented using PyTorch.

Parameter search-based ensemble method for object detection.

ML on Moonboard (and perhaps related) data. In-progress

Coursera Guided Projects resources with all source codes and datasets

integrated neural network library

Example of Neu.ro integration with NNI for hyperparameter tuning

LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.

2020-natural-language-processing-project

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

Prunning PyTorch Model manually and using nni compression library.

machine learning at scale on Azure Machine Learning

The OTHER pytorch boilerplate