C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
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Updated
Jul 29, 2024 - C++
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
Feature wise normalization: An effective way of normalizing data
As part of the UCSanDiego online course "Machine Learning Fundamentals"
This is a course project to select a subset of data to build an efficient nearest neighbor classifier. Choosing a representative subset of "prototypes" from the training set is crucial for accelerating nearest neighbor classifiers. This project proposes projecting the data into a latent space using a pretrained embedder.
A Python implementation of Nearest Neighbors algorithm from scratch using numpy
Here I am starting with Machine Learning notes after SQL notes. I have covered the following topics such as:
Use Kmean Clustering and Collaborative filtering approach for the recommendation problem
How can I trust you? An intuition and tutorial on trust score
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
A simple program to classify the nearest neighbor for different data clusters
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
Various mathematical classifiers in Python
This is the source code of the work for Assignment-2, Statistical Methods in AI, 5th Semester, IIITH, '22
1-Bag of SIFT representation and nearest neighbor classifier
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Build a kNN (k-Nearest Neighbor) model from scratch to predict 10 test data.
In this project we have to classify the Fashion-MNIST dataset which contains black and white photos of clothing using classification algorithms.
This repository contains jupyter notebooks providing an implementation of basic Machine Learning models for regression and classification.
'Learning' programming assignments for the Harvard CS50's Introduction to Artificial Intelligence with Python 2021 course
These are computer assignments of the book "An Introduction to Machine Learning" by Miroslav Kubat
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