[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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Updated
Apr 3, 2021 - Python
[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]
Improving Human Activity Recognition through Self-training with Unlabeled Data
One Line To Build Zero-Data Classifiers in Minutes
[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.
Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).
Supervised learning on unbalanced data
A Pytorch implementation of the MixMatch algorithm developed by google-research.
Mongolian Polarity Detection in Weakly Supervised manner
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
"Snorkel with Turtle" is a realtime labeling system based on Snorkel
Best Clustering using silhouette_score
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
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