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/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/miozilla/treebasedmodel

treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |

accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning

Last synced: 03 Jun 2026

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 17 Apr 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/gauravtrivedi967/lane_detection

Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code

ipython-notebook numpy python thresholding

Last synced: 06 Mar 2026

https://github.com/radinshahdaei/ce40215-nc

Theoretical and practical assignments for "Numerical Computation".

jupyter-notebook numpy python sympy

Last synced: 17 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/broodhoney/blue-book-for-bulldozers

This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/pranavv34/customer-segmentation

Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.

keras matplotlib numpy pandas python seaborn sklearn tensorflow

Last synced: 02 Apr 2026

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 Apr 2026

https://github.com/prajapatsur/data-analytics-1

Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.

matplotlib numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/harmanveer2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xbgoost

Last synced: 02 Apr 2026

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn

Last synced: 17 Apr 2026

https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs

Подготовка аналитического отчета (Проект в skillbox )

analytics matplotlib numpy pandas seaborn

Last synced: 17 Apr 2026

https://github.com/quinnphil/math-for-programmers

Work-alone code for Math for Programmers book by Paul Orland

geometry mathematics matplotlib numpy python

Last synced: 17 Apr 2026

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/gregoritsch3/project_python_jobs_data_analysis

A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.

matplotlib numpy pandas python scipy seaborn

Last synced: 04 Apr 2026

https://github.com/jinhx128/data_analysis

基于Matplotlib+Numpy+Pandas搭建的数据分析项目。

matpolotlib numpy pandas 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/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 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/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 18 Apr 2026

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 05 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

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/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

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

O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos

keras numpy pandas plotly python restnet50 sklearn tensorflow

Last synced: 05 Apr 2026

https://github.com/md-emranhossen/deep-learning-hub

Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.

cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow

Last synced: 18 Apr 2026

https://github.com/pedro-stanaka/dlnd-projects

Projects from Deep Learning Nanodegree from Udacity

artificial-neural-networks deep-learning machine-learning numpy python3

Last synced: 18 Apr 2026

https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality

A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.

criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model

Last synced: 18 Apr 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/costopoulos/ntua-dsp

:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports

dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft

Last synced: 19 Apr 2026

https://github.com/mariacarolinass/programacao-linear

Minimizando problemas matemáticos com Python e AMPL.

ampl numpy programacao-linear ufrn

Last synced: 19 Apr 2026

https://github.com/crazy-dot/zomato-data-analysis

This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.

data-cleaning-and-preprocessing data-manipulation-with-pandas inferential-statistics kaggle-dataset numpy pandas-python python zomato-data-analysis

Last synced: 19 Apr 2026

https://github.com/gemmus/tictactoe-ai

Built with minimax algorithm, using pygame.

minimax-algorithm numpy oop pygame python tic-tac-toe

Last synced: 20 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/muhammadmoeezkhan/euclidean-distances

Python Program That Calculates Euclidean Distances Via 5 Algorithms

numpy pandas-python scipy timeit

Last synced: 20 Apr 2026

https://github.com/marknature/codealpha-internship_python-programming

Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025

numpy pandas python3

Last synced: 20 Apr 2026

https://github.com/aleklukanen/systemsofsprings

This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.

finite-element-methods finite-elements jupyter-notebook numerical numpy python

Last synced: 21 Apr 2026

https://github.com/refraction-ray/numkl

A thin cython/python wrapper on some routines from Intel MKL

cython-wrapper lapack mkl numpy

Last synced: 21 Apr 2026

https://github.com/separatrixxx/crypto_labs_6_sem

👓 Laboratory work for the 6th semester of MAI on cryptography

cryptography matplotlib numpy python

Last synced: 21 Apr 2026

https://github.com/abhinav330/iris-dataset-classic-ml-problem

This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.

classification data-science iris-dataset jupyter machine-learning numpy pandas python sklearn support-vector-machines svm-classifier

Last synced: 06 Jun 2026

https://github.com/alepheleven/neuralnet

Neural Network library in NumPy✨

neural-network numpy

Last synced: 24 Apr 2026

https://github.com/redinfinitypro/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 24 Apr 2026

https://github.com/takana671/texturegenerator

Procedually generate texture images from noise.

cloud cubemap cv2 cython noise noise-textures numpy python skybox

Last synced: 25 Apr 2026

https://github.com/timothyjan/cartoonify-image-opencv

Application that transforms images into its cartoon using Python, OpenCV(cv2), easyguy, numpy, imageio, and tkinter.

easygui imageio numpy opencv2 tkinter

Last synced: 25 Apr 2026

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 10 Apr 2026

https://github.com/hinanohart/dostosim

Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.

abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research

Last synced: 27 Apr 2026

https://github.com/technologicat/mpi_shim

MPI support wrapper for optional dependency on mpi4py

mpi mpi4py numpy optional python python2 python27 python3 python34 wrapper

Last synced: 27 Apr 2026

https://github.com/nyx1311/timelstm

TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.

deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm

Last synced: 27 Apr 2026

https://github.com/erikbavenstrand/neural-network-implementation

An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.

ai feedforward-neural-network machine-learning mnist neural-network numpy python

Last synced: 27 Apr 2026

https://github.com/ronverse17/automate-data-cleaning

This project automates messy data cleaning tasks - like fixing column names, filling missing values, and spotting outliers, so analysts and data scientists can spend more time on insights, not preprocessing.

numpy pandas pipeline python

Last synced: 28 Apr 2026

https://github.com/gregoritsch3/dl_cnn_resnet50_digitrecognition

A Deep Learning Computer Vision project on the MNIST Digit Dataset. The project demonstrates the use of four TensorFlow Neural Network architectures, ranging from a basic Shallow Sigmoid Model to a Deep Convolutional Model constructed using the FunctionalAPI, and even a modified Resnet50 Model. Includes Error Analysis and test runs on real images.

cnn convolutional-neural-networks cv2 keras matplotlib numpy resnet-50 tensorflow

Last synced: 28 Apr 2026

https://github.com/jovicdev97/financial-loan-datascience-notebook

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 28 Apr 2026

https://github.com/abdeldjalilchafai/us-flight-delay-eda

Structured EDA on 2015 US flight delay data. Clean, reproducible notebook using a 6-step data analysis framework for real-world datasets.

data-analysis data-cleaning eda exploratory-data-analysis flight-delays kaggle matplotlib numpy pandas python seaborn

Last synced: 28 Apr 2026

https://github.com/pedronjorge/average-face

Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy

dlib image-generation jupyter-notebook numpy opencv python3

Last synced: 30 Apr 2026

https://github.com/iv4n-ga6l/crowd-move-simulation

Crowd move simulation in python

matplotlib numpy python simulation

Last synced: 28 Apr 2026

https://github.com/manalisbhavsar/stock-price-prediction

Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.

data-analysis deep-learning lstm machine-learning matplotlib numpy pandas python

Last synced: 28 Apr 2026

https://github.com/khalidkhankakar/numpy-for-data-science

Exploring the full Numpy library for DS

data-science dataexploration jupyter numpy python

Last synced: 28 Apr 2026

https://github.com/linsanity03/fraud_detection_using_autoencoders

Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.

matplotlib numpy pandas pytorch seaborn

Last synced: 28 Apr 2026

https://github.com/alonmell/modulnet

Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities

deep-learning from-scratch machine-learning neural-network numpy

Last synced: 29 Apr 2026

https://github.com/shefreenkaur/nlp_query_documents

This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.

easyocr naive-bayes nlp numpy ppmi pymupdf tf-idf

Last synced: 29 Apr 2026

https://github.com/louis-finegan/least-squares-method-curve-fitting-python3

Applying the Least-Square-Method to Curve-Fit in python using Numpy.

curve-fitting least-squares numpy

Last synced: 29 Apr 2026

https://github.com/thekartikeyamishra/interactive-ai-model-trainer

A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!

google googlecolab ipywidgets matpl numpy pandas python scikit-learn seaborn

Last synced: 29 Apr 2026

https://github.com/freya135/smart-traffic-system

A Python-based system leveraging a Raspberry Pi to capture and process traffic images, dynamically control traffic lights and servo motors based on real-time vehicle detection using edge detection, and optimize traffic flow intelligently.

canny-edge-detection gpiozero image-processing numpy open-cv python raspberry-pi-5 real-time-processing servo-motor signal-duration smart-traffic-light

Last synced: 29 Apr 2026

https://github.com/w13b3/ssim-py

Structural Similarity (SSIM) index, where the only core dependency is NumPy

image-comparison numpy opencv-python pillow python3 ssim tested unittests

Last synced: 29 Apr 2026

https://github.com/romerorodriguezd/homography-with-opencv

Homography operations applied to insert images inside others regardless of the perspective.

computer-vision homography matrices-transformation numpy opencv opencv-python

Last synced: 29 Apr 2026

https://github.com/thaivincent/fft_image_compression

A simple image compression program using FFT and numPy

fft image-processing numpy

Last synced: 29 Apr 2026

https://github.com/antonio-f/naive_convnet

Naive Convolutional Neural Network with TensorFlow 2

101 convolutional-neural-networks deep-learning easy matplotlib numpy simple tensorflow2 tutorial

Last synced: 29 Apr 2026

https://github.com/ovsidee/psm

Fundamentals of Mathematical Simulations using Python

numpy python

Last synced: 29 Apr 2026