An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Updated
May 10, 2024 - Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
AutoML library for deep learning
Differentiable architecture search for convolutional and recurrent networks
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Automated deep learning algorithms implemented in PyTorch.
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
An autoML framework & toolkit for machine learning on graphs.
Genetic neural architecture search with Keras
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.
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
a distributed Hyperband implementation on Steroids
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
NSGA-Net, a Neural Architecture Search Algorithm
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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