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

Python codes for weakly-supervised learning

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

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

Best Clustering using silhouette_score

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

Improving Human Activity Recognition through Self-training with Unlabeled Data

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

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

Mongolian Polarity Detection in Weakly Supervised manner

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

Supervised learning on unbalanced data

Stress Detection in Social Media

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

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

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

One Line To Build Zero-Data Classifiers in Minutes

📸 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.