Popular GitHub Repositories for Labeled

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.

Labelling platform for text using weak supervision.

? Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset types. ??? Advanced audio processing.

The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

VGG-Face CNN descriptor in PyTorch.

BB-SVM model for automatic personality detection of the essays dataset (Big-Five personality labeled traits)

We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2)

Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021

Development of Deep Learning algorithm for Drivable Area Segmentation with data collected and labeled by Ford Otosan.

A Python framework for automating domain-agnostic and domain-specific Knowledge Graphs from unstructured text. Integrates NLP and Neo4j for entity extraction, relationship mapping, and semantic enrichment. Ideal for text mining and analytics, with support for temporal and event tagging.