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

Damo Yolo ⭐ 3,598

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

Awesome Autodl ⭐ 2,222

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

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

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

Naszilla ⭐ 269

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

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

Evonorm ⭐ 119

Unofficial PyTorch Implementation of EvoNorm

Naspapers ⭐ 59

Paper lists of neural architecture search (NAS)

Nas Encodings ⭐ 24

Encodings for neural architecture search

Code for ViTAS_Vision Transformer Architecture Search

Isnas Dip ⭐ 20

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

Roon Extension Deep Harmony Release ⭐ 17

roon-extension-deep-harmony releases

Morph.py ⭐ 16

A neural architecture optimizer, targeted at model-size w.r.t. accuracy

Deep Learning Roadmap ⭐ 13

my own deep learning mastery roadmap

Ec Nas Bench ⭐ 9

Energy Consumption-Aware Tabular Benchmark For Neural Architecture Search

Automl Nas Papers ⭐ 8

a list of papers on Auto Deep learning with Neural network architecture search

Weaved deep aggregation network based on NAS

Neurocell ⭐ 7

A PyTorch Implementation for Neuro-Cell-based Evolution with Function-Preserving Mutations

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