[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Python codes for weakly-supervised learning

Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]

One Line To Build Zero-Data Classifiers in Minutes

Improving Human Activity Recognition through Self-training with Unlabeled Data

[ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data"

📸 Face Clustering Engine developed using OpenCV & DBSCAN, deployed as a Streamlit Web App to deliver uploaded images grouped according to the individual unique faces in them.

The code for ICLR2023: Confidence Estimation Using Unlabeled Data

Stress Detection in Social Media

Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).

Keras/Tensorflow implementation for co-generation and segmentation of surgical instruments using unlabelled robot-assisted surgery data.

A Pytorch implementation of the MixMatch algorithm developed by google-research.

Mongolian Polarity Detection in Weakly Supervised manner

Best Clustering using silhouette_score

[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang

"Snorkel with Turtle" is a realtime labeling system based on Snorkel

Model Distillation for Unlabeled and Imbalanced Data for Amino-Acid-Strings

This is a POC project of a system that aim to label unlabeled streaming data using Snorkel