#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#计算机科学#AutoML library for deep learning
A curated list of automated machine learning papers, articles, tutorials, slides and projects
#计算机科学#Differentiable architecture search for convolutional and recurrent networks
#计算机科学#Fast and flexible AutoML with learning guarantees.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
#计算机科学#Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
#计算机科学#FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
#大语言模型#Automated Machine Learning on Kubernetes
Automated deep learning algorithms implemented in PyTorch.
#计算机科学#A curated list of awesome architecture search resources
#计算机科学#An autoML framework & toolkit for machine learning on graphs.
#计算机科学#Fast & Simple Resource-Constrained Learning of Deep Network Structure
#计算机科学#Genetic neural architecture search with Keras
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
#计算机科学#This is a list of interesting papers and projects about TinyML.
#计算机科学#[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256K...
#Awesome#A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hype...
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
a distributed Hyperband implementation on Steroids