AutoDL-Projects

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AutoDL-Projects is an AI Frameworks & Infra tool that implements automated deep learning algorithms. It provides neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms in PyTorch.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is AutoDL-Projects?

AutoDL-Projects is an open-source, lightweight project offering automated deep learning algorithms implemented in PyTorch. It provides various neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms, making it suitable for beginners, engineers, and researchers. The project features simple library dependencies, a unified codebase for all algorithms, and active maintenance. Key capabilities include implementations of NAS algorithms like TAS, DARTS, GDAS, SETN, NAS-Bench-201, and NATS-Bench, as well as HPO-CG. It requires Python >= 3.6 and PyTorch >= 1.5.0, with options for knowledge distillation and pre-trained models.

Best used for

Ideal for researchers who need to implement and experiment with new AutoDL algorithms, engineers investigating AutoDL's project applicability, and beginners wanting to try different AutoDL algorithms. Especially valuable for those seeking a lightweight, open-source solution with a unified codebase for NAS and HPO.

Common actions

implement AutoDL algorithms

experiment with NAS

optimize hyperparameters

benchmark NAS algorithms

github copilot"AI Agents"face swappingworkflowsopen-sourcedeepfakelow-code/no-codecollaborationautomated workflow

Capabilities

Key features

Neural architecture search
Hyper-parameter optimization
PyTorch implementation
Unified codebase
Active maintenance

Target Audience

professorresearcherengineer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming languages and frameworks are required for AutoDL-Projects?

AutoDL-Projects requires Python version 3.6 or higher and PyTorch version 1.5.0 or higher. While lower versions might work, they may introduce bugs. Some visualization features also require OpenCV for full functionality.

How do I install AutoDL-Projects and its dependencies?

First, install the xautodl library using `pip install .`. Then, clone the repository with submodules using `git clone --recurse-submodules https://github.com/D-X-Y/AutoDL-Projects.git XAutoDL`. Ensure you have Python and PyTorch installed as per the requirements.

Does AutoDL-Projects support pre-trained models for knowledge distillation?

Yes, some methods within AutoDL-Projects utilize knowledge distillation (KD) and require pre-trained models. These models can be downloaded from Google Drive or trained independently, and should be saved into the `.latent-data` directory.

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Research & Education › Academic Research Coding & Development › Open Source & Models

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