An open API service indexing awesome lists of open source software.

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.

https://github.com/naritanara/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 03 May 2026

https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python

O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.

array array-manipulations array-methods jupyter-notebook numpy python python3

Last synced: 03 May 2026

https://github.com/akashparley/ipl-data-analysis

The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.

analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards

Last synced: 04 May 2026

https://github.com/egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

latex monte-carlo-method numpy pandas statmodels

Last synced: 04 May 2026

https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.

community-detection course-project facebook-network-analysis louvain-algorithm louvain-community-detection matplotlib network-analysis network-graphs networkx-library numpy pandas python3 pyvisgraph research-paper scipy-stats sklearn-metrics tqdm

Last synced: 04 May 2026

https://github.com/bpkaur/whats-in-a-name

Exploring dataset of first names of babies born in the US in order to uncover interesting stories

data-analysis datacamp numpy pandas python3

Last synced: 04 May 2026

https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos

Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)

flet numpy pyhton

Last synced: 04 May 2026

https://github.com/miozilla/fescarefine

fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets

gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit

Last synced: 04 May 2026

https://github.com/arjunravi26/deep_learning

This repo contains codes and notes to learn deep learning

ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer

Last synced: 04 May 2026

https://github.com/sumaiyyaf/movie-industry-analysis

This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.

exploratory-data-analysis numpy pandas python visualization webscraping

Last synced: 04 May 2026

https://github.com/nagipragalathan/python_tutorial_for_data-science

This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.

datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial

Last synced: 09 Apr 2026

https://github.com/shamiul5201/selfie_app_features_application

OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.

computer-vision numpy opencv python

Last synced: 04 May 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 2026

https://github.com/alphan26/optimal-logistics-locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 05 May 2026

https://github.com/badranalyst/residential-unit-prices-data-analysis-application

Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.

data-analysis data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 05 May 2026

https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 05 May 2026

https://github.com/ranaessam03/climate-prediction

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.

decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn

Last synced: 05 May 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 05 May 2026

https://github.com/jonad/quora_data_analysis

Exploratory data analysis and feature engineering on Quora dataset.

exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset

Last synced: 05 May 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/waghraj1699/fraud-detection-project

A fraud detection system with machine learning will be able to detect risk based on your historical data

data-processing decision-tree-classifier machine-learning numpy pandas

Last synced: 05 May 2026

https://github.com/kalwalt/pybind-test

A simple example with pybind and numpy with C++ code

cplusplus numpy pybind11 python

Last synced: 05 May 2026

https://github.com/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/romanectatyana/fuel_norm

Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)

matplotlib numpy pandas plotly power-bi

Last synced: 06 May 2026

https://github.com/leavers/npblob

Transfer numpy array between Python and JavaScript losslessly

array javascript matrix numpy python streaming typescript

Last synced: 06 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/ianjure/simple-neural-network

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/coder5omkar/lendingclubcasestudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 06 May 2026

https://github.com/paulo-santos-ds/llm

Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator

deeptranslate googletranslate numpy pyngrok python streamlit

Last synced: 06 May 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

linear-regression machine-learning numpy pandas python regression regression-analysis statistics

Last synced: 06 May 2026

https://github.com/christiansassi/signal-image-and-video-project

Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.

image-processing mri-segmentation numpy opencv python

Last synced: 06 May 2026

https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models

Advanced Real Estate Valuation with Ensemble Regression Models

machine-learning numpy pandas python sklearn

Last synced: 06 May 2026

https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml

This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.

machine-learning matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/harmanveer-2546/student-performance-in-exam

Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.

classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization

Last synced: 06 May 2026

https://github.com/jonolav95/advent_of_code_2022

Using Python with Pandas and Numpy (www.adventofcode.com).

numpy pandas

Last synced: 06 May 2026

https://github.com/kianaabrisham/svm-from-scratch

Linear SVM from scratch with hinge loss + decision boundaries

classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm

Last synced: 07 May 2026

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 07 May 2026

https://github.com/sriyaroy/coding-challenges

50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.

coding-challenges computer-vision interview-prep machine-learning numpy python pytorch

Last synced: 07 May 2026

https://github.com/dulajkavinda/breast-cancer-detect

🧬 breast cancer classification using machine learning

added machinelearning matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/shantanudhanawade/mini-projects

Price prediction with linear regression

matplotlib-python numpy pandas scikit-learn-python

Last synced: 07 May 2026

https://github.com/pointer2alvee/machine-learning-algorithms-scratch

Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.

machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models

Last synced: 07 May 2026

https://github.com/krishbharadwaj5678/gestureninja

Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.

automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam

Last synced: 07 May 2026

https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python

Last synced: 07 May 2026

https://github.com/hackintoshrao/first-neural-network

Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales

deep-learning neural-networks numpy python

Last synced: 07 May 2026

https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis

This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.

analysis data jupyter-notebook matplotlib numpy python seaborn vscode

Last synced: 07 May 2026

https://github.com/kavayk29/audio-classification-using-python-library

This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.

librosa matplotlib-pyplot mfcc-features numpy pandas sklearn-library

Last synced: 07 May 2026

https://github.com/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/jpgiant/gujaratrainfallanalysis_2021

Analysis about the rainfall that occurred in the districts of Gujarat state in 2021

data-analysis exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas-python python

Last synced: 07 May 2026

https://github.com/4strium/predict-french-tv-audience

🎬 A beginner's machine learning project whose aim is to predict the audience for films on TV in France, based on previous data provided by the CNC and Médiamétrie.

machine-learning numpy pandas python tv xgboost

Last synced: 07 May 2026

https://github.com/louisblankemeier/numpytex

Latex script generator that generates an aesthetically appealing table using a numpy array.

latex numpy script-generator table

Last synced: 07 May 2026

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 08 May 2026

https://github.com/momo790-m/startup-profit-prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn

Last synced: 08 May 2026

https://github.com/prakashjha1/stock-investment-analysis

Stock Investment Analysis Project can help investor to select the better performing stocks.

data-analysis data-science numpy pandas pandas-datareader parallel-programming python

Last synced: 08 May 2026

https://github.com/octavioduarte/datascience

A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.

data-science jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/amiegirl/ford_gobike-tripdata

This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 08 May 2026

https://github.com/antonio-f/simple-k-nearest-neighbors

Simple K-Nearest Neighbors using partial sort

101 k-nearest-neighbors knn numpy partial-sort python tutorial

Last synced: 08 May 2026

https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases

Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle

jupiter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/leandro-bertoluzzi/parchis-probabilities

Small weekend project to play around with numpy and help me taking decissions while playing parchís

matplotlib numpy python

Last synced: 08 May 2026

https://github.com/filnow/tinygimp

project for image processing class

gimp numpy opencv pysimplegui python3

Last synced: 08 May 2026

https://github.com/omogbolahan94/movies-budget-revenue-analysis

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 08 May 2026

https://github.com/kevinmbeaulieu/machine-learning-practice

ML models & data processing utilities written from scratch as practice.

data-science machine-learning numpy pandas

Last synced: 08 May 2026

https://github.com/satvikpraveen/numpymasterpro

A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.

broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization

Last synced: 08 May 2026

https://github.com/kkkaan/tensor-library-403-hw1

A numpy like library for tensor (gergen) operations.

deep-learning numpy python tensor

Last synced: 08 May 2026