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/md-emon-hasan/learnpython.org

A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.

exception-handling function generator lambda-functions numpy numpy-library python reduce

Last synced: 04 May 2026

https://github.com/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/singh-dhruv/traffic-light-detection-and-recognition

Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.

autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow

Last synced: 05 May 2026

https://github.com/flazefy2/ds-customer_shopping

https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset

data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics

Last synced: 05 May 2026

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 05 May 2026

https://github.com/heshanera/paclassifier

Online Passive Aggressive Binary Classifier

binary-classifier numpy passive-aggressive python

Last synced: 06 May 2026

https://github.com/mmsaki/whale_portfolio

Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.

datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies

Last synced: 06 May 2026

https://github.com/kirkalyn13/opensignal_autogenerate_report

Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,

data-analysis data-science data-visualization matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/abhishek010397/logisticregression

Using Logistic Regression Classifier to Predict Target Using Three Features

csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn

Last synced: 06 May 2026

https://github.com/affromero/pixelcache

A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.

image-processing numpy opencv pillow pytorch torchvision

Last synced: 07 May 2026

https://github.com/asut00/machine-learning-program_42ai

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection

Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.

candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector

Last synced: 07 May 2026

https://github.com/ayaanjawaid/brain_stroke_prediction

project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.

decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost

Last synced: 07 May 2026

https://github.com/akashash01/akash_linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning

Last synced: 07 May 2026

https://github.com/sudipbishwakarma/bulk-remove-onesignal-users

Bulk remove OneSignal subscribed users blazingly faster with parallel processing.

numpy pandas python python-logger python-multiprocessing python-threading python3

Last synced: 07 May 2026

https://github.com/hansalemaos/numpycythonpermutations

Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools

c combinations cython fast itertools numpy permutations product python

Last synced: 08 May 2026

https://github.com/henriqueotogami/curso-de-python3-udemy

Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.

iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy

Last synced: 08 May 2026

https://github.com/mohamedawnallah/covid19-dataanalysis-python

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.

covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python

Last synced: 08 May 2026

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 08 May 2026

https://github.com/khaledkamr/mastring-python

This repository covers essential Python programming topics, including basics, OOP, file handling, and database operations. It also contains mini-projects to help solidify your understanding through practical application.

database filehandling functions if-elif-else introduction-to-python list-methods loops numpy oops-in-python python recursion set-methods sqlite3 string-methods tuple-methods

Last synced: 08 May 2026

https://github.com/raulpy271/videoinascii

🖼️ this program show a video in terminal with ascii-art style

ascii-art ffmpeg numpy python video-processing

Last synced: 08 May 2026

https://github.com/prasadlokhande-880/imagetransformationtool

This script demonstrates image transformations using OpenCV, including shifting, resizing, rotating with scaling, and skewing for various image processing tasks.

ai datamanipulation ml numpy opencv python

Last synced: 08 May 2026

https://github.com/ki-seki/set_determ

Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7

deterministic numpy pytorch random-generation reproducibility

Last synced: 08 May 2026

https://github.com/akashash01/logistic-regresion

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv

Last synced: 08 May 2026

https://github.com/neetigyab/pdfreader

Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet

excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python

Last synced: 08 May 2026

https://github.com/607011/1dollar

Simulation of a counterintuitive distribution problem

animation go golang matplotlib numpy plot python3 simulation statistics

Last synced: 09 May 2026

https://github.com/alexcoder04/image-edit

A Python GUI for basic image editing, school project

fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject

Last synced: 09 May 2026

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

Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.

math matplotlib numpy pandas python3 seaborn sql

Last synced: 09 May 2026

https://github.com/dina-hosny/explore-us-bike-share-data-project

Explore US Bike Share Data project - FWD Data Analysis Professional Track. In this project, I used Python to explore data related to bike share systems for three major cities in the United States and answer questions about it by computing descriptive statistics.

data-analysis data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/abdulfatir/subkmeans

Numpy and pyCUDA implementation of subKmeans

clustering cuda kdd kmeans numpy pycuda python subspace-clustering

Last synced: 09 May 2026

https://github.com/laavanjan/lstm-rnn-next-word-prediction

An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time

jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow

Last synced: 09 May 2026

https://github.com/khaymanii/car-price-prediction-model

This is a model built using Python , Lasso and Linear Regression algorithm.

matplotlib numpy pandas python sckiit-learn

Last synced: 10 May 2026

https://github.com/michaelfeil/lstm-dlnn2020

Character-LSTM implementation in Numpy

lstm nlp-machine-learning numpy

Last synced: 14 May 2026

https://github.com/anishshinde01/machine-learning-exercises

Python implementations of machine learning, statistics, and mathematical foundations.

linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics

Last synced: 11 Jun 2026

https://github.com/duoan/machine-learning-notebook

A notebook repository for tracking learning machine learning notebook.

data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost

Last synced: 18 Jun 2026

https://github.com/platonn/comp-photography

Computational Photography course - University of Wroclaw

computational-photography image-processing numpy university-course

Last synced: 19 Jun 2026

https://github.com/m-aadhi/game-review-sentiment-analysis

This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.

matplotlib numpy pandas-library python

Last synced: 19 Jun 2026

https://github.com/alicankaya192/deep_learning_path

Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.

artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer

Last synced: 21 Jun 2026

https://github.com/jjwizardmp/a-start-search-python

Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.

cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3

Last synced: 04 Apr 2026

https://github.com/vishalgaud17/stroke

A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.

machine-learning numpy pandas python scikit-learn streamlit

Last synced: 14 Apr 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

https://github.com/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

data-science google-colab jupyter-nootebook numpy numpy-arrays python

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

data-analysis data-visualization jupyter-notebook numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sun-data/ndoptimize

Numba-accelerated minimization of objective functions.

astropy minimization numba numpy optimization scientific-computing

Last synced: 27 Jan 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/sharif-minhaz/rag-system

Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.

faiss flask mysql2 nodejs numpy rag react transformers

Last synced: 14 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/ricardorobledo/spamemailclassification

Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.

imbalanced-data imbalanced-learning numpy pandas python3 sklearn

Last synced: 05 Apr 2026

https://github.com/stffns/snapvec

Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.

ann embeddings hadamard numpy quantization rag vector-search

Last synced: 07 Apr 2026

https://github.com/ashithapallath/feature-engineering

This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.

exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn

Last synced: 18 Apr 2026

https://github.com/alexkhype/04python-carpricepredictor

Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.

catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost

Last synced: 05 Apr 2026

https://github.com/ben854719/nvidia---gen-ai-

The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia

matplotlib numpy pandas python pytorch

Last synced: 05 Apr 2026

https://github.com/shdrn2402/incomesresearch

The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.

jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization

Last synced: 05 Apr 2026

https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 2026

https://github.com/lorenzorottigni/ml-movies

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/faraazarsath/guvi-task-4

This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.

data-visualization matplotlib numpy pandas

Last synced: 18 Apr 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/noopur-phadkar/botnavigator

BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.

a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics

Last synced: 18 Apr 2026

https://github.com/dmarks84/coursework_project_image-text-recognition

Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together

classification computer-vision image-classification numpy pandas programming python text-classification

Last synced: 14 Apr 2026

https://github.com/rhazra-003/modelinglab

Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur

jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely

Last synced: 19 Apr 2026

https://github.com/moonshallow5/food_vision_mini

A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)

huggingface matplotlib numpy pytorch

Last synced: 09 May 2026

https://github.com/codetun/wie-act-challenge-ai

Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐

colab csv jupiter-notebook kaggle nltk numpy pandas

Last synced: 19 Apr 2026

https://github.com/simonusher/multi-layer-perceptron

My solution to an assignment on multi-layer perceptron. Implemented in python and numpy. Contains the forward and backward pass code, as well as some utility functions.

multi-layer-perceptron neural-network numpy python

Last synced: 19 Apr 2026

https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments

Analyzing the data set which consists of medical appointments to draw insights about patient's no-show scenarios

data-analysis data-analytics data-cleaning data-visualization data-wrangling jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/sweta-kaundilya/finance-data-project

This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.

financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn

Last synced: 16 May 2026

https://github.com/shreeya-methuku/predictive_analysis

This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.

arima financial-forecasting numpy pandas sarima xgboost

Last synced: 20 Apr 2026

https://github.com/montanaz0r/suicide-rate-analysis

Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector

analysis correlation data data-analysis data-science jupyter-notebook jupyter-notebooks matplotlib numpy pandas psychology python python-3 seaborn statistics suicide-rate

Last synced: 20 Apr 2026

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/prithvikings/zomato_data_anaysis

This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/gsaini/streamlit-ui-getting-started

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

codecov github-actions numpy pandas python streamlit unittest

Last synced: 14 Jun 2026