A recommender system to recommend movies, books or shopping items list based on search.
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Updated
Jan 7, 2020 - Python
A recommender system to recommend movies, books or shopping items list based on search.
📊 NMSLIB visualization tool
KNN search implemented by KD-tree and Ball-tree
This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN
Information about Neural Network's tools
A super simple Q&A chat-bot applying vector search
Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.
Image search engine using Angular and Python.
Simple self-balancing Kd-Tree and KNN search library in pure C. Most tree operations are non-recursive, and therefore suited for embedded systems.
class for BallTree data structure
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
Machine learning algorithm implementation with visualization
Nearest Neighbour Search with Variables on a Torus
Reading Recommendation System: This project implements K Nearest Neighbor (kNN) Collaborative Filtering to build a book recommender system based on a publicly available dataset.
Course Project of Information Retrieval.
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
amableDB - Get Fast Similar Float-Vectors
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