The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)
-
Updated
Aug 11, 2022 - Python
The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
End-to-end CV pipeline that converts raw gameplay footage into labeled YOLO datasets — zero manual annotation. Built with YOLOv8, Tesseract OCR, FFmpeg and Streamlit.
Add a description, image, and links to the weaksupervision topic page so that developers can more easily learn about it.
To associate your repository with the weaksupervision topic, visit your repo's landing page and select "manage topics."