# PaddlePaddle/awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Repository: https://github.com/PaddlePaddle/awesome-DeepLearning
Canonical: https://ross.abutalabs.com/products/awesome-deeplearning
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: cnn, rnn, detection, classification, gan, video, segmentation, pose, nlp, recommender-system, reinforcement-learning, bert, tinybert, dynabert, transformer, dssm, sarsa, dqn
Last push: 2024-07-25T00:51:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2457, "days_push": 770, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3647, forks 859 (observed 2026-08-28T04:08:12.957964+00:00)

## What it is
An official PaddlePaddle one-stop deep learning learning hub containing courses, books, case studies, a knowledge wiki, and interview question banks. It includes Jupyter notebook tutorials covering CNN, RNN, Transformer, GAN, detection, segmentation, and industry practice examples.

## Use cases
- learn deep learning from scratch
- find deep learning interview questions
- study industry case studies for computer vision
- learn transformer and bert with paddlepaddle
- find reinforcement learning tutorials
- prepare for AI engineer interviews
- reproduce top conference paper implementations

## When to avoid
- you use PyTorch or TensorFlow exclusively and want framework-neutral material
- you need production-grade model code rather than educational notebooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, computer-vision, nlp, data-science
- domain: deep-learning, machine-learning, tutorials, computer-vision, education
- platform: python, cross-platform
- tags: paddlepaddle, jupyter-notebooks, tutorials, interview-questions, chinese-language, awesome-list, natural-language-processing

## Member repositories
- PaddlePaddle/awesome-DeepLearning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:12.957964+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:43.304618+00:00, confidence not recorded.
  - readme: https://github.com/PaddlePaddle/awesome-DeepLearning (fetched 2026-08-28T04:08:12.957964+00:00, sha c09639397f50)
- Data as of 2026-08-30T08:39:29.467469+00:00.