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.

Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023

Official PyTorch Implementation of EGANS(TEC'23)

Automated Machine Learning on Kubernetes

Source code for a sample iOS app for the master's thesis by Alfreds Lapkovskis & Natalia Nefedova (2024): Advancements in Agriculture: Multimodal Deep Learning for Enhanced Plant Identification. Developing a Multi-organ Plant Classifier Using Multimodal Fusion Architecture Search

Source code for the master's thesis by Alfreds Lapkovskis & Natalia Nefedova (2024): Advancements in Agriculture: Multimodal Deep Learning for Enhanced Plant Identification. Developing a Multi-organ Plant Classifier Using Multimodal Fusion Architecture Search

LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

SimplifiedTransformer simplifies transformer block without affecting training. Skip connections, projection parameters, sequential sub-blocks, and normalization layers are removed. Experimental results confirm similar training speed and performance.

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Environment Sound Classification with Deep Learning using Hardware Aware - Neural Architecture Search

This repository explores how far can you model biological vision solely with architecture and local learning?

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

模型压缩的小白入门教程

Fast & Simple Resource-Constrained Learning of Deep Network Structure

The website is at following link

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Official implementation of our research paper. DOI: 10.1109/JIOT.2024.3360882

NLP proyect related to NAS for text generation DNNs.