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/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 10 Apr 2026

https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data

This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.

aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python

Last synced: 03 Jan 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/mattdelaune/saas_cohort_analysis

This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.

anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn

Last synced: 03 Jan 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/cusyio/datenverarbeitung-mit-numpy

Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.

numpy

Last synced: 08 Jun 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/thamirisq/data_analysis_culinary_journey

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit

Last synced: 10 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/simran1002/strip-analyzer

The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.

flask multer nodejs numpy opencv python reactjs

Last synced: 10 Apr 2026

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/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/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/34j/numpy-flint-arb

Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API

acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy

Last synced: 10 Mar 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/g-eoj/cv-tl-keras

Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.

cross-validation keras numpy scikit-learn transfer-learning

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/mardavsj/weather-prediction

Weather prediction model which mainly focuses on visualization.

data-analysis data-visualization matplotlib numpy pandas pandas-dataframe

Last synced: 10 Apr 2026

https://github.com/stephenhky/npdict

Python Package for Dictionary Wrappers for Numpy Arrays

dict numpy

Last synced: 20 Jan 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/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 11 Apr 2026

https://github.com/amishmathur1/resumeats

✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.

express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud

Last synced: 11 Apr 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 Apr 2026

https://github.com/tasninanika/callifornia-housing-price-prediction-svr

Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.

matplotlib numpy pandas python3 scikit-learn seaborn svm-regression

Last synced: 11 Apr 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/mihirh19/python

a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.

algorithms data-structures django fastapi flask machine-learning numpy pandas python

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/tasninanika/k-means-clustering

An interactive and insightful customer segmentation project using K-Means Clustering.

matplotlib numpy pandas plotly python3 scikit-learn seaborn

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/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/sergio11/breast_cancer_diagnosis_mlp

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify

Last synced: 21 Feb 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/faisal-khann/diwali-sales-analysis

The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future

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

Last synced: 11 Apr 2026

https://github.com/narenkhatwani/arkouda-projects

This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)

arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python

Last synced: 17 Apr 2026

https://github.com/ishutak/disease_prediction

An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.

css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2

Last synced: 11 Apr 2026

https://github.com/elazzouzihassan/si-fraud-detection-prototype

Système de Détection des Fraudes avec Python (Prototype).

googlecolab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast

Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.

aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision

Last synced: 03 May 2026

https://github.com/socrats/tscluster

Clustering time-series

clustering cython numpy python series time-series

Last synced: 19 Apr 2026

https://github.com/gaurangdave/house_price_predictions

Machine Learning Application to predict House Prices

hands-on learning-by-doing machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/apoorva-info/eye-blink-detetction

Blink Detector Sensitive to Facial Orientation

mediapipe numpy opencv python3

Last synced: 28 Apr 2026

https://github.com/bogdang888g/shad_homework_2024-2025

Репозиторий с домашними работами из курса "Школы Аналитиков Данных" от МТС

matplotlib numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis

This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.

jupiter-notebook lfp-analysis matplotlib numpy signal-processing

Last synced: 01 May 2026

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 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/achuth-0908/hemoguard-anemia-predictor

A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.

css flask html matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/gauravsakure02/pubg_win_prediction

Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game

matplotlib numpy pandas sklearn

Last synced: 29 Apr 2026

https://github.com/kanishk1420/renewabled-data-helper

An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit

gemini-api langchain mongodb numpy python streamlit

Last synced: 11 Apr 2026

https://github.com/bogdang888g/jojo_stands

Анализ параметров стендов из ДжоДжо

numpy pandas plotly python scipy

Last synced: 11 Apr 2026

https://github.com/sehgalnaval/olympics-data-analysis

I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.

heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn

Last synced: 11 Apr 2026

https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors

This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.

algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/srujayreddy/selling-laptops

Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.

customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn

Last synced: 12 Apr 2026

https://github.com/balaji24092001/python

All python related content: notes, problems, progress archive.

matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite

Last synced: 12 Apr 2026

https://github.com/hansalemaos/cythonunique

Fast implementation of unique elements in an array - up to 30x faster than NumPy

faster numpy unique

Last synced: 28 May 2026

https://github.com/aymen016/data-visualization

A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.

dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization

Last synced: 15 Jun 2026

https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023

This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.

data-science machine-learning ml numpy pandas python3 scikit-learn

Last synced: 28 Oct 2025

https://github.com/hansalemaos/cythonfastsort

C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy

c cpp cython numpy parallel-computing parallel-programming python sorting

Last synced: 04 Feb 2026

https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system

Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.

matplotlib notebook numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/esvs2202/credit-card-fraud-detection-system

This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.

azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn

Last synced: 12 Apr 2026

https://github.com/ngirimana/ml_knn

Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.

artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon

Last synced: 12 Apr 2026

https://github.com/anish202020/weather_prediction_model_21int68_internship

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/gracysapra/pandas-numpy-data-visualisation

This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.

data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn

Last synced: 07 May 2026

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 12 Apr 2026

https://github.com/felixsoderstrom/perceptron-for-ocr

Training an AI model to recognize handwritten digits

ai backpropagation machine-learning neural-network numpy pytorch

Last synced: 23 Apr 2025

https://github.com/mohidex/analyze-movie-rating

Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.

beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping

Last synced: 20 Apr 2026

https://github.com/pranav-bot/ml-dl-models-from-scratch

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm

Last synced: 15 Apr 2026

https://github.com/iver56/cython-region-growing

A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python

benchmark cython flood-fill numpy python region-growing

Last synced: 25 Apr 2026

https://github.com/nazli-d/binary-classification-using-cnn

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow

Last synced: 13 Apr 2026

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 11 Mar 2025

https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn

Last synced: 23 Jul 2025