Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
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Updated
Mar 26, 2024 - Python
Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
Document Similarity using Word2Vec
Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")
Make plagiarism detection easier. This script will find similar sentences between given files and highlight them in a side by side comparison.
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Code for NLPCC2016 Chinese Word Similarity Task
flags duplicate issues & PRs using embeddings
A MatchMaker Exchange server
Efficient Retrieval with Learned Similarities
A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
[ICML 2024] Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
A movie recommender served with a Flask-restful app
EleKit2 computes the electrostatic complementarity between a docked ligand and its protein receptor
text2vec onnxruntime
A library to calculate similarity scores between two collections of text sequences encoded using transformer models for bitext mining, dense retrieval, retrieval-based classification, and retrieval-augmented generation (RAG).
Recommendation system built using multiple ML models that aim to predict users' interests based on their past behavior and preferences.
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
EleKit measures the similarity of electrostatic potentials between a small molecule and a protein.
All NLP related courses on DataCamp
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