awesome-feature-engineering
github.com/xiaoganghan/awesome-feature-engineering ↗A curated list of feature engineering techniques for image and text machine learning
50
GitHub Stars
18
Curated Resources
2
Categories
20 hours ago
Last Refreshed
ImageText
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me data exploration with pandas resources from awesome-feature-engineering"
Installation instructions →What's inside
Text
- A Rubric for Data Wrangling and Explorationdata exploration with Pandas
- Data Wrangling with Pandasdata exploration with Pandas
- Document Classification with scikit-learnword2vec
- Do-it-yourself NLP for bot developersword2vec
- gensimword2vec
- Image augmentation for machine learning experiments.word2vec
Image
- mxnetbrightness, contrast, saturation
- The power of Spatial Transformer Networksspatial transformer
- Traffic sign recognition with Torchspatial transformer
- Traffic signs classification with a convolutional networkrotation and projection
- Updated! My 99.40% solution to Udacity Nanodegree project P2 (Traffic Sign Classification)brightness, contrast, saturation
Showing a sample of 18 resources. View the full list on GitHub →