AutoML library for deep learning
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.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Awesome Neural Architecture Search Papers
DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
some scripts for stable-diffusion-webui in the autodl
Package: R Interface to AutoKeras
An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.
collecting related resources of automated machine learning here
Reproduce alpaca
An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Vibe Video：一句话想法 → 成片。开源 MiniMax H3 + AutoDL 弹性 GPU + Agent 自动开关机，10 秒 1080p ≈ ¥0.3。10 个技能组成的 AI 剧组（编剧/美术/导演/配乐/配音），短剧、宣传片、创意视频都能做。
Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
专为 ComfyUI 打造的开源无限画布 AI 创作工作台：纯前端直连自建与云端算力（首选推荐 LightCC 镜像开箱即用），工作流槽位驱动 UI，涵盖生图/全能参考视频/首尾帧，集成 Canvas Agent 与插件生态。Pure frontend infinite canvas for ComfyUI.
Weibo SentimentBot is built Qwen3.5-0.6B Fine-Tuning Based. It is trained through a complete fine-tuning pipeline on the AutoDL cloud computing infrastructure. Demonstrating a complete LLMs-Alignment training pipeline: starting from Qwen3.5-0.6B, through stages: SFT-Training, LoRA, and DPO preference optimization, the model gradually evolves fr
To associate your repository with the autodl topic, visit your repo's landing page and select "manage topics."