NELSONZHAO/zhihu resource
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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: 3387
- days_rel: n/a
- days_push: 1906
- n_releases_24m: 0
Adoption not part of the score
3522 stars · 2097 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of Jupyter Notebook tutorials accompanying the author's Zhihu column '机器不学习', implementing deep learning projects in TensorFlow and Keras. It covers NLP tasks like text generation, word embeddings, machine translation, and sentiment analysis, plus CV projects like CNN classification, autoencoders, and GANs.
Use cases
- learn deep learning with tensorflow through worked examples
- implement seq2seq machine translation with attention
- train a gan to generate mnist digits
- build a character-level lstm text generator
- understand word2vec skip-gram implementation
- compare dnn lstm and cnn for sentiment analysis
- denoise images with convolutional autoencoders
When to choose
- you want tutorial-style code paired with detailed Chinese blog explanations
- you are learning TensorFlow 1.x or Keras fundamentals
- you need reference implementations of classic models like DCGAN, seq2seq, and skip-gram
When to avoid
- you need production-ready or maintained code
- you use TensorFlow 2.x or PyTorch exclusively
- you need a license permitting reuse
Facets
learning-resource · maturity maintenance
deep-learning nlp machine-learning image-processing deep-learning computer-vision tutorials python tensorflow keras jupyter-notebook gan seq2seq word2vec autoencoder text-generation machine-translation sentiment-analysis style-transfer chinese-blog-companion natural-language-processing
1 source
- readme: https://github.com/NELSONZHAO/zhihu · fetched 2026-08-28 · 4b60ac12ea5c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NELSONZHAO/zhihu | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="NELSONZHAO/zhihu")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem