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/mrhashemi/optimizers

Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.

adam-optimizer bfgs conjugate-gradient numpy optimizer scipy

Last synced: 30 Apr 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/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

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/fsubject/rotating-cube

Rotating Cube is a 3D engine made from scratch

3d 3d-engine 3d-graphics from-scratch numpy pygame python

Last synced: 31 Jan 2026

https://github.com/bredalis/numpy

✨ Library to work with arrays ✨

arrays data matrix numpy numpy-arrays numpy-library python

Last synced: 06 May 2026

https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri

Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.

data-visualization numpy pandas python sklearn streamlit

Last synced: 03 Apr 2025

https://github.com/simranjeet97/quotes-analysis

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application

Last synced: 15 Apr 2026

https://github.com/muralisuvvani/airbnb-exploratory-analysis

Exploratory Data Analysis (EDA) on Airbnb NYC dataset to uncover trends, patterns, and insights. Data cleaning and visualization of Airbnb listings in New York City. Analyzing Airbnb NYC 2019 dataset using Python (Pandas, Numpy, Matplotlib, Seaborn)

analytics data-visualization exploratory-data-analysis numpy pandas python3

Last synced: 04 May 2026

https://github.com/khaymanii/customer_segmentation_model

This model was built using Python and KMeans Clustering algorithm

matplotlib numpy pandas python sckit-learn seaborn

Last synced: 06 May 2026

https://github.com/21aja/house_price_prediction_revised_project

House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.

decision-tree-classifier linear-regression numpy pandas xgboost

Last synced: 13 Apr 2026

https://github.com/scarblase/homeless-animals-analysis

A data-driven exploration of homeless animal statistics 🐶🐱. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.

animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine

Last synced: 06 May 2026

https://github.com/programmer-rd-ai/moviedatascraper

Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!

beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web

Last synced: 01 Mar 2025

https://github.com/datarohit/opencv-document-scanner

This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.

numpy opencv opencv-python python

Last synced: 10 May 2026

https://github.com/utkarsh-284/deep-learning

This repository contains the documents and main project file needed for building DNN from scratch using NumPy.

data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3

Last synced: 03 May 2026

https://github.com/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 07 May 2026

https://github.com/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 03 May 2026

https://github.com/hanzopgp/neuralnetworkfromscratch

This is a multi-layer perceptron build from scratch using numpy and python.

artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal

Last synced: 17 Apr 2026

https://github.com/takkii/pylean

Data analysis ( 🐍 💎 📈 )

analayze matplotlib numpy pandas python scikit-learn

Last synced: 09 Sep 2025

https://github.com/gauranshgoel123/predictive-demand-analysis

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render

Last synced: 13 Apr 2026

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/marksikaundi/30daysofdeeplearning

This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.

data-science nlp numpy python pytorch tensorflow

Last synced: 04 Apr 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 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/ayaanjawaid/google_playstore_data_analysis

This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.

data-analysis eda html numpy pandas-dataframe plotly python vizualisation

Last synced: 24 Feb 2026

https://github.com/datarohit/date-fruit-classification

This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.

classification logisticregression numpy pandas python3 standard-scaler

Last synced: 13 Apr 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/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/nemeslaszlo/emergency-911-calls

Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.

jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/khaymanii/big_mart_prediction_model

This model was built using Python and Logistic Regression Algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 01 May 2026

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 14 Apr 2026

https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem

🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!

data-science jupyter keras notebooks numpy pandas python pytorch

Last synced: 12 Jun 2025

https://github.com/bestmahdi2/uni__geneticprogrammingfunctionapproximation

In this university project, genetic programming is used to approximate the function

function-approximation genetic-algorithm genetic-programming matplotlib numpy python tqdm

Last synced: 16 Apr 2026

https://github.com/intscription/python-programs

Python basics-advance

numpy pandas scikit-learn

Last synced: 05 May 2026

https://github.com/403errors/offset-to-hydrostatic-curve

Group project for making hydrostatic curves from the given ship offset table using python libraries

data-visualization matplotlib-pyplot numpy python3 sklearn

Last synced: 10 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/bunu23/image-classification-resnet50-streamlit

This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.

cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow

Last synced: 07 Apr 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 Apr 2026

https://github.com/htlinh0604/invoice-data-extraction

This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..

flask numpy ocr-recognition opencv pandas python regex tesseract-ocr

Last synced: 10 Nov 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 10 Apr 2026

https://github.com/dulajkavinda/live-sketching

✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 Apr 2026

https://github.com/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/zensam7/easy_my_ai

Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля

genetic-algorithm library machine-learning neural-networks numpy q-learning

Last synced: 14 Feb 2026

https://github.com/mousazourob/stockdataresampler

Python script that resamples an instruments minute by minute candle stick data to any interval

alpha-vantage-api numpy pandas python

Last synced: 07 May 2026

https://github.com/fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm

Last synced: 09 Apr 2025

https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques

Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.

bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql

Last synced: 10 Apr 2026

https://github.com/alisonmitchell/boston-housing

Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.

data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 10 Apr 2026

https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data

About the data: Let’s consider a Company dataset with around 10 variables and 400 records.

data-science machine-learning numpy pandas python random-forest seaborn-plots

Last synced: 07 Apr 2026

https://github.com/surtecha/multi-physics-simulation-engine

A real world physics simulation application built with python

jax numpy physics pygame python scipy simulation

Last synced: 14 Apr 2025

https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn

Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.

matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction

Last synced: 10 Apr 2026

https://github.com/lakhidaksh-01/carinsightanalyzer

Interactive Car Ratings & Insights

cars matplotlib numpy pandas python seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/lolosoares/dataanalises

This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.

acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba

Last synced: 10 Apr 2026

https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split

Last synced: 10 Apr 2026

https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization

Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard

communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization

Last synced: 10 Apr 2026

https://github.com/mothnik/robust_fourier

Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba

chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics

Last synced: 04 Jan 2026

https://github.com/datarohit/fifa-2020--data-analysis

This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.

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

Last synced: 10 Apr 2026

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/kishlayjeet/zomato-data-exploration

In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.

data-analysis eda matplotlib numpy pandas zomato-data-exploration

Last synced: 10 Apr 2026

https://github.com/datarohit/titanic-survival-data--classification

This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.

classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/argemenon/astronomy_and_simulations

I created this repo to learn astronomy and python simulations

astronomy matplolib numpy physics-simulation scipy sympy

Last synced: 10 Apr 2026

https://github.com/bhavyemathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 17 Apr 2026

https://github.com/sizzlins/kalkulator-ai

A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.

calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy

Last synced: 13 Jan 2026

https://github.com/ryannapp12/quant_trading_engine

A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.

algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies

Last synced: 11 Apr 2026

https://github.com/shanmukhsrisaivedullapalli/automatic-ticket-classification

This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.

matplotlib neural-networks nlp numpy pandas python3 scikit-learn seaborn tensorflow tqdm wordcloud

Last synced: 11 Apr 2026

https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 11 Apr 2026

https://github.com/suraj-sedai/lstm-deep-learning

A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.

lstm-neural-networks lstm-sentiment-analysis numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/coqui123/tradegpt

TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹

analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript

Last synced: 11 Apr 2026

https://github.com/shanmukhsrisaivedullapalli/smsspamclassification

SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.

jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection

Last synced: 11 Apr 2026

https://github.com/kaikymoura/backcourt-api

Repository for the Basketball Advanced Stats API

fastapi nba-api nba-stats numpy pandas python swagger uvicorn

Last synced: 03 May 2026

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 11 Apr 2026

https://github.com/rkarahul/machinelearning

This is for my all machine learning code

analysis computer-vision matplotlib mysql nlp numpy pandas python

Last synced: 11 Apr 2026

https://github.com/socrats/tscluster

Clustering time-series

clustering cython numpy python series time-series

Last synced: 19 Apr 2026

https://github.com/hamdaniqhmqd/project-predict-saham-bbri

Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.

data-visualization numpy pandas python sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/harmanveer2546/movie-industry

Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.

business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026