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/darinochka/course_python_iad

ДЗ\Семинары майнора "Интеллектуальный анализ данных"

machine-learning numpy pandas python3

Last synced: 30 Apr 2026

https://github.com/dharma-acha/explanability_in_deepneuralnetworks

Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.

colab-notebook matplotlib numpy pandas scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/beyzabasarir/spotify-youtube-eda

Exploratory Data Analysis of global songs' performance metrics on Spotify and YouTube with Python, using Jupyter Notebook.

eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/johnrobertsantos/exploratory-data-analysis-using-python

This project represents the culmination of my Python learning journey.

jupyter matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/mogankumar/bird-flock-simulation-with-pyspark

A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flock’s movement.

argparse matplotlib numpy pyspark python3

Last synced: 01 May 2026

https://github.com/supriya811106/twitter-sentiment-analysis

Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!

bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud

Last synced: 05 Apr 2026

https://github.com/omogbolahan94/lego-analysis

Analysis of LEGO data from 1949 to 2021.

matplotlib merge numpy pandas

Last synced: 09 May 2026

https://github.com/vsrc/project-cardionaut

AI predictor for Heart Attack likelihood

numpy pandas pickle python streamlit

Last synced: 01 May 2026

https://github.com/splithor1zon/edu-barriermethodlp

Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.

barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python

Last synced: 01 May 2026

https://github.com/sairupeshl/portfolio-risk-calculator

A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data

numpy pandas python yfinance

Last synced: 08 Jun 2026

https://github.com/ismaelvr1999/bioinspiredalgorithms

This repository contains implementations of various bioinspired algorithms for optimization and machine learning.

machine-learning matplotlib numpy python tensorflow

Last synced: 01 May 2026

https://github.com/sandip2512/play-store-app-review-analysis

EDA on Play Store apps and user sentiment reviews

eda heatmaps matplotlib numpy pandas plotly seaborn sentiment-analysis

Last synced: 01 May 2026

https://github.com/mohhasan1/machine-learning

This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.

machine-learning matplotlib numpy pandas seaborn sklearn

Last synced: 01 May 2026

https://github.com/diogoribeiro7/vortex2d

2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations

cfd matplotlib numpy python simulation vortex-method

Last synced: 12 May 2026

https://github.com/franciscomartinez45/social-network-analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 09 May 2026

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

Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.

numpy pandas powerbi python

Last synced: 01 May 2026

https://github.com/offthetab/nn_homework

Практические работы по нейронным сетям МИРЭА 3 курс.

gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision

Last synced: 01 May 2026

https://github.com/mayankanand007/betago

Platform for tracking Go moves using Computer Vision. (StarterHacks 2018 submission)

java matlab matplotlib numpy opencv-python python3

Last synced: 01 May 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024

This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.

bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas

Last synced: 01 May 2026

https://github.com/laszlokorte/canny-notebook

Numpy Canny Edge detector implementation to visualize each step

canny-edge-detection image-processing jupyter-notebook numpy

Last synced: 02 May 2026

https://github.com/rishieeee/spam-email-classifier

A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.

multinomial-naive-bayes numpy pandas python sckit-learn tf-idf

Last synced: 09 May 2026

https://github.com/ducha-aiki/laf2ell

Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.

ellipse laf local-features numpy visualization

Last synced: 02 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/aqueeqazam/numpy-for-mathematical-computing

You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.

mathematics numpy numpy-arrays

Last synced: 19 Apr 2026

https://github.com/lipskiyp/trading_dashboard

Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).

financial-analysis numpy pandas

Last synced: 02 May 2026

https://github.com/tonoy30/emotion-mask

A pytorch model for add face mask based on detected emotion.

emotion-detection numpy opencv-python python pytorch

Last synced: 09 May 2026

https://github.com/konynour/facedectection

This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection

cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3

Last synced: 12 Apr 2026

https://github.com/amishidesai04/emergency-calls-data-analysis-project

Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.

analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn

Last synced: 02 May 2026

https://github.com/krook1024-uni-archive/kmeans

kmeans implementation for a university course

kmeans kmeans-clustering machine-learning numpy python

Last synced: 02 May 2026

https://github.com/bharath-tars/streamlit_diabsynth

Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit

deeplearning mahine-learning numpy onrender-deploy pandas seaborn streamlit

Last synced: 02 May 2026

https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

Last synced: 02 May 2026

https://github.com/m0saan/python-for-data-analysis

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,

data-analysis data-science ipython-notebook machine-learning matplotlib numpy pandas python

Last synced: 02 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 13 May 2026

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 02 May 2026

https://github.com/baranovserv/h-s-diagram

Парсер данных построения H-S диаграммы для веществ

diagrams json matplotlib numpy parser requests

Last synced: 02 May 2026

https://github.com/vermenea/masters---ad-signaling-pathway-using-hsp90-inhibitor

Influence of 17-AAG a Hsp90 inhibitor on signaling pathway in Atopic Dermatitis

matplotlib numpy pandas python seaborn statmodels

Last synced: 02 May 2026

https://github.com/sandipkushwaha20/brain_tumour_detector

This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.

deeplearning keras numpy pandas python tensorflow

Last synced: 12 Apr 2026

https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude

Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity

json-api jupyter-notebook matplotlib-pyplot numpy weather-information

Last synced: 13 May 2026

https://github.com/ifte-13/digit-classification-with-mnist

MNIST Digit Classification: Comparative Analysis of Optimization Algorithms

matplotlib mnist-dataset numpy tensorflow

Last synced: 02 May 2026

https://github.com/starlitdreams/lunar-landing

This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.

artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch

Last synced: 09 May 2026

https://github.com/hadjuse/spotify-recommendation-knn

Here is a personal project where i use KNN project to classify songs

data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify

Last synced: 03 May 2026

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/bhavna-kale/cars-eda-project

Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.

data-analysis excel matplotlib numpy pandas python3 searborn streamlit

Last synced: 03 May 2026

https://github.com/krumyakimov/house-price-developments-in-bulgaria

I developed this project for my final exam in the Data Science course at SoftUni.

data-science jupyter-notebook matplotlib numpy pandas scipy seaborn

Last synced: 03 May 2026

https://github.com/raduldev/biopython

Biopython Record Work and few extra coding excercise

bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3

Last synced: 03 May 2026

https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn

Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.

face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil

Last synced: 03 May 2026

https://github.com/chethannazre/railway-track-obstacle-detection-system

RAILWAY TRACK OBSTACLE DETECTION AND AUTOMATION (RAILTECH AUTOMATION)

automation cv2-library internship numpy ppt project python report

Last synced: 03 May 2026

https://github.com/fandredev/ml-my-guide

my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn

anaconda matplotlib numpy pandas plotly scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 May 2026

https://github.com/chmohit91/Introduction-to-Python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 21 Jul 2025

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/hansalemaos/a_pandas_ex_fastloc

Up to 25 times faster than df.loc by combining np.select and numexpr.evaluate (works with utf-8)

dfloc fast iloc loc numexpr numpy pandas python

Last synced: 03 May 2026

https://github.com/nak-dt/deep-decision-forest

A custom ensemble tree model inspired by Deep Forest

ai machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 03 May 2026

https://github.com/jsnevt/decisiontreecls

Data Science - Árvores aleatórias - RandomForestClassifier

decision-tree-classifier matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/codeslash21/tmdb_data_analysis

We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.

data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie

Last synced: 03 May 2026

https://github.com/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/vinicius999/icu-beds-forecast-covid-19

Predição da ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)

covid-19 matplotlib numpy pandas python sklearn support-vector-regression

Last synced: 03 May 2026

https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer

Last synced: 03 May 2026

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/zongxr/dcic2025-riverwaterprediction

闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。

lightgbm machine-learning numpy pandas sklearn time-series xgboost

Last synced: 03 May 2026

https://github.com/manikantasanjay/youtube_exploratory_data_analytics

This is a Mini Project made using Python Libraries like Numpy, Pandas, Matplotlib etc to perform Data Analytics on US Video and Comments dataset.

jupyter-notebook matplotlib numpy pandas plotly python seaborn wordcloud

Last synced: 03 May 2026

https://github.com/linggarm/priority-task-selection-using-evolutionary-programming

A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.

artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/lmizner/codecademy_product_defects

Practicing rules of probability, set theory, and distributions

cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats

Last synced: 03 May 2026

https://github.com/alvii147/discretetimelib

Python library for analysis of discrete time signals and systems

numpy pandas scipy signals-and-systems sympy

Last synced: 03 May 2026

https://github.com/hansalemaos/np_zoom_in

Zoom in on a picture

image numpy python zoom

Last synced: 03 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/nicolashaubricht/analise-dados-pib-per-capita

Este projeto tem como objetivo a análise de dados sobre as variações do PIB per capita em diversos países ao longo dos anos.

numpy pandas plotly python

Last synced: 03 May 2026

https://github.com/abideen-olawuwo/logistic-regression-house-prediction

Using logistic Regression Model to predict house price

logistic-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/atchayaah/home-value-insights-kc

Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.

joblib matplotlib numpy pandas pickle python scikit-learn seaborn

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/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 09 May 2026

https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-

Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.

data-cleaning-and-preprocessing numpy pandas

Last synced: 13 May 2026

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 13 May 2026

https://github.com/gregoritsch3/exercise_pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 12 Apr 2026