Popular GitHub Repositories for Predictor Nas

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

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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

Olares: An Open-Source Sovereign Cloud OS for Local AI

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

This is a collection of our NAS and Vision Transformer work.

OpenMMLab Model Compression Toolbox and Benchmark.

PaddleSlim is an open-source library for deep model compression and architecture search.

Automated deep learning algorithms implemented in PyTorch.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

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.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

This is a collection of our zero-cost NAS and efficient vision applications.

Awesome Neural Architecture Search Papers

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS

Naszilla is a Python library for neural architecture search (NAS)

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.