Topic: cosine-distance Goto Github
Some thing interesting about cosine-distance
Some thing interesting about cosine-distance
cosine-distance,Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
User: abhilash1910
cosine-distance,String distances in rust
Organization: ailgroup
cosine-distance,A Clojure library for querying large data-sets on similarity
User: andrewmcloud
cosine-distance,Deep Neural Net For Finding Similar Images With Hyperparameter Optimization + AWS And Azure GPU Capabilities
User: ankushgpta2
cosine-distance,Raku package for the computation of various distance functions.
User: antononcube
Home Page: https://raku.land/zef:antononcube/Math::DistanceFunctions
cosine-distance,Looking for utterance misclassification using edit distance and cosine similarity
User: augusto-scarvalho
cosine-distance,Using NLTK Lib to summarise texts
User: auto-rooter
cosine-distance,Samples on how to use Azure SQL database with Azure OpenAI
Organization: azure-samples
cosine-distance,Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
User: chrismattmann
cosine-distance,Statistics is a command line tool for computing distance and data normalization
User: dacot11
cosine-distance,Implementation of DTW algorithm between audio and midi files, plots of results and saving the path as JSON. A Sakoe-chiba band is the current optimization.
User: de-tre
cosine-distance,Implemented various spellcheck techniques like cosine similarity, jaccard similarity and levenshtein distance. Open to any further contributions.
User: devxdebanjan
cosine-distance,String similarity functions, String distance's, Jaccard, Levenshtein, Hamming, Jaro-Winkler, Q-grams, N-grams, LCS - Longest Common Subsequence, Cosine similarity...
User: dexyk
cosine-distance,A content based recommendation system
User: diyaacharya
cosine-distance,Basic example for searching code semantically in github profiles. In python
User: eren23
cosine-distance,Movie recommendation system based on popularity and also using KNN and Cosine similarity. π₯πΏ
User: esratmaria
cosine-distance,This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.
User: huzaifakhan04
cosine-distance,This repository hosts a number of short data science solution with code snippets ready to be used in various data science applications
User: issaoreilly
cosine-distance,Π Π΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΈΠ·Π²Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎ ΡΠ΅ΠΊΡΡΠΎΠ²ΠΎΠΌΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΠΈ ΠΏΠΎΠΈΡΠΊ ΠΏΠΎΡ ΠΎΠΆΠΈΡ ΡΠΎΡΠΎΠ³ΡΠ°ΡΠΈΠΉ
User: koldim2001
cosine-distance,It is a replication of google image search engine for finding similar images in our database using artificial intelligence. It is a project which uses cosine distance or finding the similarity which is an amazing application of cosine similarity.
User: ksdkamesh99
cosine-distance,Recommending movies using tweets as a proxy
User: loomisloud
cosine-distance,TextComparsionBot in Telegram
User: maxim092001
cosine-distance,Demos to test modelling and classification algorithms for face recognition
User: mortensi
cosine-distance,Spark functions to run popular phonetic and string matching algorithms
User: mrpowers
cosine-distance,Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric
User: naivehobo
cosine-distance,wordvector demonstration with spacy.
User: najiaboo
cosine-distance,Knowledge extraction through Data Analysis, including Locality Sensitive Hashing (LSH).
User: nepiskopos
cosine-distance,Efficient Pairwise Cosine Similarity Computation
User: ngshya
cosine-distance, Image Recommendation system for different users using Collaborative Filtering.
User: padam2502
cosine-distance,In this repository, we have implemented the CNN based recommendation system for finding similar products.
User: pradnya1208
cosine-distance,Locality sensitive hashing based plagiarism checker
User: pyt243
cosine-distance,Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.
User: robertrindos
cosine-distance,Given a directed social graph, have to predict missing links to recommend users.
User: sahildigikar15
cosine-distance,IR implemented by using TF-IDF method
User: sharmilathirumalai
cosine-distance,Pick Me A Flick: A content filtering based Movie Recommendation Engine .
User: shubham3279
cosine-distance,Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
User: sichkar-valentyn
cosine-distance,Intrusion Detection System and Serbian family relationships
User: srfunksensei
cosine-distance,This Machine learning powered Recommendation Engine suggests Movies for a user based on the user's past intrests by content based filtering. In this ML model the attributes of movies like genres , cast , director , description are taken into consideration while being converted into vector format. The cosine distance is found between the vectors to find the most similar movies based on the user's input . The dataset used is TMDB_5000 Movies dataset. The framework is made using streamlit.
User: sushantlokhande14
cosine-distance,Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.
User: syedsharin
cosine-distance,An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook
User: tejassheth104
cosine-distance,This intelligent movie recommend system works on an advance machine learning model which learns the taste of a perticular user by collecting relevant data of his/her recently watched movies.
User: thebitanpaul
Home Page: https://my-movie-guide.herokuapp.com/
cosine-distance,A movie recommender system based on Content-Based Filtering using tmdb dataset
User: tonoy30
cosine-distance,Using SVD and other methods to compute movie recommendations using fake and real user movie ratings.
User: woheedev
cosine-distance,This repo contains the movie recommender system which uses vectorization, cosine similarity distance methods to calculate the most similar content based on movie tags/info.
User: yash1314
Home Page: https://movierecomendersystem-kn7wte7gavzfwgvce43duk.streamlit.app/
cosine-distance,Big data homework solutions
User: zeitunik
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