NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/wilfriedmercier/somptimised
An optimised version of sklearn-som with extended functionalities.
machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som
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https://github.com/asit-14/python-programming
This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.
matplotlib modules numpy pandas python tkinter
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https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
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academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve
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SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
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how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
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Last synced: 08 May 2026
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This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥
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https://github.com/ananas1kexe/clap-to-rickroll
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Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
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https://github.com/n1k1f0rm/ml-predicts
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https://github.com/s0fft/learning-lab
Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.
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Convert a video file or camera captured to display as text.
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https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
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Last synced: 06 May 2026
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Last synced: 10 Apr 2026
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Last synced: 06 May 2026
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FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
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Last synced: 11 Mar 2025
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
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Last synced: 07 Apr 2026
https://github.com/tralahm/datascience
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https://github.com/teslaproduuction/data_analiz_al
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Last synced: 10 Apr 2026
https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
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Last synced: 13 Apr 2026
https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
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https://github.com/hasnainroopawalla/sudoku-generator
This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking
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Last synced: 16 May 2026