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#
python-implementation
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31 public repositories
matching this topic...
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874
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Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
python compiler cpp python-compiler python-implementation
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Updated
Dec 2, 2024
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Python
Star
90
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Code
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Issues
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Pull requests
Yet another Python Python
compiler compatibility python-extension python-implementation
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Updated
Dec 5, 2018
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Python
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16
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Code
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Issues
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Pull requests
Python implementation of popular machine learning algorithm
data-science machine-learning deep-learning mathematics python-implementation
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Updated
Jan 20, 2025
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Jupyter Notebook
Star
11
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Code
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Issues
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Pull requests
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
machine-learning neural-network imagine mnist-dataset python-implementation weights backpropagation layer-neurons hidden-layers learn-backpropagation solve-for-inputs neural-network-example
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Updated
Feb 2, 2017
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Python
Star
11
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Code
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Issues
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Pull requests
[ICLR 2023] ReScore: Boosting Causal Discovery via Adaptive Sample Reweighting
machine-learning mathematics python-implementation causality causal-discovery
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Updated
Mar 11, 2023
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Python
Star
8
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Code
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Issues
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Pull requests
A python implementation for computing the Hopkins' statistic (Lawson and Jurs 1990) for measuring clustering tendency of data
python data-mining python-implementation cluster-analysis cluster-tendency hopkins-statistic
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Updated
Mar 28, 2020
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Jupyter Notebook
Star
4
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Code
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Issues
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Pull requests
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Discussions
detroit is a Python implemtation of d3js
visualization plot python-implementation d3js
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Updated
Jan 19, 2025
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Python
Star
3
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Code
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Issues
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Pull requests
Python implementation of Apriori Algorithm from scratch for finding frequent item sets
python scratch reco python-implementation frequent-itemset-mining from-scratch apriori-algorithm
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Updated
Oct 31, 2019
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Jupyter Notebook
Star
3
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Code
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Issues
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Pull requests
k-Nearest Neighbors Algorithm with p-adic Distance
python-implementation k-nearest-neighbours p-adic k-nearest-neighbors k-nearest-neighbor-classifier p-adic-numbers p-adic-distance p-adic-metric
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Updated
Apr 9, 2024
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Python
Star
2
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Code
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Issues
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Pull requests
A Python implementation of a binary text classifier using Doc2Vec and SVM.
text-classification python-implementation binary-classification svm-classifier doc2vec-model
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Updated
Apr 30, 2020
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Jupyter Notebook
Star
2
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Code
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Issues
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Pull requests
The python interpreter implemented in Rust
python rust interpreted-programming-language python-implementation rustpython
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Updated
Jan 5, 2025
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Rust
Star
1
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Code
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Issues
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Pull requests
[JOURNAL TIP] 004 - Python With Clang
python ffi ctypes python-implementation cupy
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Updated
May 12, 2020
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Cuda
Star
1
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Code
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Issues
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Pull requests
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.
python computer-science open-source data-structure python3 huffman-coding python-implementation compression-algorithm python-app coding-practice efficient-algorithms encoding-and-decoding algorithmic-coding
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Updated
Feb 12, 2024
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Python
Star
1
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Code
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Issues
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Pull requests
Tranpose operator
python-implementation transpose-matrix inner-product transpose-function complex-conjugate
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Updated
Jul 6, 2023
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Python
Star
1
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Code
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Issues
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Pull requests
A Python implementation of a binary text classifier using Word2Vec and SVM.
text-classification python-implementation word2vec-model binary-classification svm-classifier
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Updated
May 2, 2020
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Jupyter Notebook
Star
1
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Code
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Issues
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Pull requests
This is the repository for our group project for Discrete Maths course. Our topic was famous travelling salesman problem.
discrete-mathematics python-implementation travelling-salesman-problem
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Updated
Jun 7, 2024
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C++
Star
1
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Code
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Pull requests
Transpose operator
python-implementation transpose-matrix inner-product transpose-function complex-conjugate
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Updated
Jan 8, 2020
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MATLAB
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0
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Contains the architecture of neural network in python (without using any framework)
python neural-network python-implementation neural-network-architectures
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Updated
Nov 26, 2020
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Jupyter Notebook
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0
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Code
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This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset.
python machine-learning analysis python-implementation unsupervised-learning pca-algorithm
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Updated
Nov 27, 2022
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Jupyter Notebook
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0
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Code
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evaluation metrics implementation in Python from scratch
machine-learning performance-metrics python-implementation performance-evaluation f1-score accuracy-score clustering-metrics regression-metrics classification-metrics
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Updated
Feb 24, 2024
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Jupyter Notebook
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