weslynn/AlphaTree-graphic-deep-neural-network resource
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱 observed · 2026-08-28
Health v2 · maintenance only
69/100
- Activity 81
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3102
- days_rel: n/a
- days_push: 114
- n_releases_24m: 0
Adoption not part of the score
3013 stars · 615 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AlphaTree is a curated AI learning roadmap covering machine learning, deep learning, GANs, graph neural networks, NLP, and big data, with visualized model explanations and accompanying Python/PyTorch/TensorFlow source code. It is designed to take learners from beginner to AI application engineer, including interview preparation material.
Use cases
- learn deep learning from scratch with visual guides
- prepare for machine learning engineer interviews
- understand classic neural network architectures like AlexNet and LeNet
- find annotated source code for deep learning papers
- study GANs and graph neural networks
- get a roadmap for becoming an AI application engineer
When to choose
- you want a structured, visualized learning path through deep learning fundamentals
- you prefer learning by reading paper summaries alongside reference implementations
- you are preparing for AI engineering interviews
When to avoid
- you need production-ready deep learning libraries or tools
- you want actively maintained course content rather than a curated reference
- you need English-only materials, as much of the content is in Chinese
Facets
learning-resource · maturity maintenance
deep-learning machine-learning nlp data-science deep-learning machine-learning tutorials artificial-intelligence python roadmap interview-prep gan gnn pytorch tensorflow image-classification chinese-language awesome-list natural-language-processing
1 source
- readme: https://github.com/weslynn/AlphaTree-graphic-deep-neural-network · fetched 2026-08-28 · b8bb74ff9120
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| weslynn/AlphaTree-graphic-deep-neural-network | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="weslynn/AlphaTree-graphic-deep-neural-network")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem