Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/microsoft/art
Exploring the connections between artworks with deep "Visual Analogies"
ai art deep-learning image-retrieval k-nearest-neighbours machine-learning nuerips react resnet-50 search
Last synced: 17 Jun 2024
![](https://github.com/microsoft.png)
https://github.com/sisinflab/elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
bprmf collaborative-filtering content-based-recommendation deepfm funksvd k-nearest-neighbours k-nn keras knowledge-graph machine-learning matrix-factorization neural-collaborative-filtering nfm recommendations recommender-system slim svdpp tensorflow2 vae
Last synced: 16 Jun 2024
![](https://github.com/sisinflab.png)
https://github.com/msdundar/notes-algorithms
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
algorithm-challenges algorithms algorithms-and-data-structures bcrypt bellman-ford-algorithm big-o-notation binary-search breadth-first-search dijkstra-algorithm divide-and-conquer greedy-algorithms grokking-algorithms hash-tables k-nearest-neighbours quicksort recursion selection-sort
Last synced: 14 Jun 2024
![](https://github.com/msdundar.png)
https://github.com/zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
algorithm ipynb k-nearest-neighbor k-nearest-neighbours k-nn kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network neural-networks perceptron python python-implementations python3
Last synced: 11 Jun 2024
![](https://github.com/zotroneneis.png)
https://github.com/Nosto/spartann
Hyper performant kNN using Annoy for Apache Spark.
ann annoy apache-spark k-nearest-neighbors k-nearest-neighbours knn ml spark
Last synced: 07 Jun 2024
![](https://github.com/Nosto.png)
https://github.com/kk7nc/Text_Classification
Text Classification Algorithms: A Survey
boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing
Last synced: 27 May 2024
![](https://github.com/kk7nc.png)
https://github.com/andygeiss/machine-learning-classification
This repository provides a Golang implementation from scratch to solve a classification problem using the K-Nearest Neighbour algorithm.
go golang k-nearest-neighbours machine-learning machine-learning-algorithms standard-project template
Last synced: 13 May 2024
![](https://github.com/andygeiss.png)
https://github.com/proycon/python-timbl
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
k-nearest-neighbours knn machine-learning python timbl
Last synced: 12 May 2024
![](https://github.com/proycon.png)
https://languagemachines.github.io/timbl/
TiMBL implements several memory-based learning algorithms.
c-plus-plus classification decision-tree ib1 ib1-ig igtree k-nearest-neighbours knn learning-algorithm learning-algorithms machine-learning nearest-neighbours timbl
Last synced: 11 May 2024
![](https://github.com/LanguageMachines.png)
https://github.com/felipexw/knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
data-science k-nearest-neighbor-classifier k-nearest-neighbours knn knn-algorithm knn-classification knn-classifier machine-learning supervised-learning supervised-learning-algorithms supervised-learning-classifiers supervised-machine-learning
Last synced: 10 Apr 2024
![](https://github.com/felipexw.png)
https://github.com/tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics
Last synced: 24 Mar 2024
![](https://github.com/tirthajyoti.png)