GitHub topics: semantic-matching
baidu/AnyQ
FAQ-based Question Answering System
Language: C++ - Size: 5.41 MB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 2,593 - Forks: 670
feixue94/matcha
[CVPR 2025 Highlight] MATCHA: Towards Matching Anything.
Size: 11.7 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 44 - Forks: 1
ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
Language: C++ - Size: 6.44 MB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 1,767 - Forks: 657
NTMC-Community/awesome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
Language: HTML - Size: 158 KB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 779 - Forks: 121
ChenglongChen/tensorflow-DSMM
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
Language: Python - Size: 88.9 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 228 - Forks: 76
ChenglongChen/kaggle-HomeDepot
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Language: Python - Size: 20.3 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 466 - Forks: 204
wellcometrust/mesh_match 📦
Semantic matching algorithm for linking texts with their relevant Medical Subject Headings (MeSH).
Size: 2.93 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Woolball/job-catcher
A better job search based on semantic matching
Language: Python - Size: 885 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 7 - Forks: 1
jiangnanboy/semantic_matching
semantic matching，语义匹配
Language: Jupyter Notebook - Size: 43 KB - Last synced at: 22 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
TurtleZhong/AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
Language: CMake - Size: 14.3 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 421 - Forks: 134
zake7749/CIKM-AnalytiCup-2018
[ACM-CIKM] 2nd place solution at CIKM AnalytiCup 2018, a task for determining short text similarities.
Language: Python - Size: 1.47 MB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 76 - Forks: 15
wingify/kroomsa
A search engine for the curious
Language: Python - Size: 85 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0
lixinsu/Lion
semantic matching toolkit
Language: Python - Size: 187 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0
yunhenk/Conv-KNRM
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
Language: Python - Size: 198 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 31 - Forks: 17
wyu-du/MatchPyramid-for-semantic-matching
A simple Keras implementation of Paper "Text Matching as Image Recognition"
Language: Python - Size: 103 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 28 - Forks: 16
wyu-du/ARCII-for-Matching-Natural-Language-Sentences
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
Language: Python - Size: 24.7 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 26 - Forks: 10
NICTA/serene
Serene Data Integration Platform
Language: HTML - Size: 246 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 6
steffenjacobs/JsonMatcher
Matches JSON-keys and values best effort using translations, synonyms and Levenshtein distance. Also provides value and unit conversion of the associated JSON-values. Part of a Seminar Thesis at the Institute of Enterprise Systems at the University of Mannheim.
Language: Java - Size: 226 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
jonasengelmann/erinnerungsluecken-im-nsu-untersuchungsausschuss
A semantic matcher is trained using BERT to identify all situations in which witnesses expresses their inability to remember.
Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
