Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
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May 14, 2025 - Python
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Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
Yet another Python Python
Python implementation of popular machine learning algorithm
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
[ICLR 2023] ReScore: Boosting Causal Discovery via Adaptive Sample Reweighting
A python implementation for computing the Hopkins' statistic (Lawson and Jurs 1990) for measuring clustering tendency of data
detroit is a Python implementation of d3js
Python implementation of Apriori Algorithm from scratch for finding frequent item sets
k-Nearest Neighbors Algorithm with p-adic Distance
A Python implementation of a binary text classifier using Doc2Vec and SVM.
Répertoire Python pour le codage Huffman. Comprend des fonctions d'encodage et de décodage, ainsi qu'une classe Noeud pour la construction de l'arbre de Huffman. Facile à utiliser avec une licence MIT.
This is the repository for our group project for Discrete Maths course. Our topic was famous travelling salesman problem.
evaluation metrics implementation in Python from scratch
A Python implementation of a binary text classifier using Word2Vec and SVM.
Tranpose operator
[JOURNAL TIP] 004 - Python With Clang
Transpose operator
The python interpreter implemented in Rust (WIP)
This is a project that implements the K-Nearest Neighbors (KNN) algorithm in Python. KNN is a machine learning algorithm used for classification or regression based on training data, and is an unsupervised learning model. This implementation allows you to train a KNN model on training data and classify new data.
Contains the architecture of neural network in python (without using any framework)
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