65 skills found · Page 1 of 3
liuhuanyong / ComplexEventExtractionA concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。
Georgetown-IR-Lab / QuickUMLSSystem for Medical Concept Extraction and Linking
levlesec / LockupA proof-of-concept Android application to detect and defeat some of the Cellebrite UFED forensic toolkit extraction techniques.
aaronsb / Knowledge Graph SystemKappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
raghavchalapathy / Bidirectional LSTM CRF For Clinical Concept ExtractionBidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data
haoosz / ConceptExpress[ECCV 2024 Oral] ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
neuroexplicit-saar / Discover Then NameCode for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
Heidelberg-NLP / CoCo ExCoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
dmitrykazhdan / Concept Based XaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
aniruddha27 / Information Extraction Using PythonA notebook to understand the concept of Information Extraction using NLP techniques in Python.
noc-lab / Clinical Concept ExtractionClinical Concept Extraction with Contextual Word Embedding
BMDSoftware / NejiFlexible and powerful platform for biomedical information extraction from text
LittleGuoKe / ConceptFEREThis code is the source code of our paper "Entity Concept-enhanced Few-shot Relation Extraction" in the ACL2021
radhe-raman-tiwari / Rice Crop Insects And Weed Detection Using Faster R CNNAs the increase in the world population the demand of the rice is also increases. In order to increase the growth of rice in the rice crop it is necessary to detect the weed and insects in the rice crop to minimize the growth of weed and insects so that the growth of the rice can be increased.Insect and Weed detection is the important factor to be analyzed. Unmanned Air Vehicle (UAV) is used for data acquisition of rice crop in different phases and states so that high quality of RGB images can be captured. In which we have taken 15 different types of rice crop insects species images and different phases of weed images to train the model. The proposed method facilitates the extraction of weed and insects into the rice crop field using deep learning concept faster region-based convolutional neural networks(Faster R-CNNs) it is implemented using Python3 with the help of Tensorflow API. The result shows that Faster R-CNN method is the state of arts method for detection and classification of weed and insects with good accuracy rate.
skimask1690 / CVE 2025 6218 POCProof of Concept for CVE-2025-6218, demonstrating the exploitation of a vulnerability in WinRAR versions 7.11 and under, involving improper handling of archive extraction paths.
koriavinash1 / BioExpExplainability of Deep Learning Models
sarthak25 / Brain Tumor SegmentationThis repo is of segmentation and morphological operations which are the basic concepts of image processing. Detection and extraction of tumor from MRI scan images of the brain is done using python
easis / CVE 2018 20250 WinRAR ACEProof of concept code in C# to exploit the WinRAR ACE file extraction path (CVE-2018-20250).
sebastianGehrmann / PhenotypingThis repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".
Visual-AI / ICE[CVPR2025 Highlight] ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
