The OTHER pytorch boilerplate

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

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

2020-natural-language-processing-project

Prunning PyTorch Model manually and using nni compression library.

integrated neural network library

machine learning at scale on Azure Machine Learning

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

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.

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.

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

Project for CS301 F22

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

HPO for DNN and other ML algorithms

Coursera Guided Projects resources with all source codes and datasets

Example of Neu.ro integration with NNI for hyperparameter tuning