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/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/mohamed3nan/udacity

Udacity Data Analysis Nanodegree Program

data-analysis data-visualization numpy pandas python

Last synced: 10 Apr 2026

https://github.com/octcarp-courses/sustech_cs303-ai_f23_works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 08 May 2026

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/omerkel/fractals

Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.

fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader

Last synced: 13 May 2026

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 23 Feb 2026

https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction

🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.

backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server

Last synced: 14 Apr 2026

https://github.com/l-johnston/microohm

SI unit system in Numpy as native dtype

numpy python units

Last synced: 24 Feb 2026

https://github.com/vochicong/ai-memo

Notebooks about machine learning (AI) math and tools

azure-notebooks colaboratory machine-learning math numpy

Last synced: 24 Feb 2026

https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest

This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.

decesion-trees matplotlib numpy pandas random-forest seaborn sklearn

Last synced: 17 Apr 2026

https://github.com/kwanit1142/machine-learning-models-on-different-scenarios

Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.

deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mark0011astra/simplecuda

CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.

cuda cupy gpu machine-learning numpy python vector

Last synced: 02 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/hansalemaos/numba_aot_compiler

A function to facilitate the Ahead-of-time compilation with Numba

aheadoftime aot compile numba numpy pyd

Last synced: 23 Jan 2026

https://github.com/kamakshi4023/brain-tumour-detection

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow

Last synced: 03 Jan 2026

https://github.com/mikediessner/benchfuncs

Benchmark functions to test optimisation algorithms.

benchmark-functions numpy optimization test-functions

Last synced: 17 May 2026

https://github.com/asanka-j/machine_learning_exercises

Machine learning Self study Python & R

matplotlib numpy pandas python r sklearn

Last synced: 12 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/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/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 02 Apr 2025

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/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/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/cosama/vasapy

Vectorized Associative Arrays for Python

associative-array associative-map dictionary numpy python vectorized

Last synced: 16 Mar 2026

https://github.com/chriszethird/image-recognition-without-neural-network

After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.

numpy python recognizing-handwritten-digits

Last synced: 06 Feb 2026

https://github.com/abhihirekhan/abhi-s-data-science-portfolio

A list of data science projects completed by me for academic, self learning, and creative purposes

datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow

Last synced: 31 Jan 2026

https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.

matplotlib numpy pandas seaborn sklearn sklearn-metrics

Last synced: 15 Apr 2026

https://github.com/nemeslaszlo/heart-disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn

Last synced: 15 Apr 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/grampers-dev/co2oracle

The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn

Last synced: 07 Feb 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/mamtapanda088/uber-data-analysis

Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 15 Apr 2026

https://github.com/dipto1971/statistical-analysis-data-science

Statistical Analysis in Data Science

numpy pandas tensorflow

Last synced: 15 Apr 2026

https://github.com/felixcharotte/housepredictions_tatahousing

Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.

aws flask jupyter linear-regression numpy pandas python

Last synced: 09 Feb 2026

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 26 Feb 2026

https://github.com/codehass/facial-emotional-detection

Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.

cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow

Last synced: 12 Apr 2026

https://github.com/muhammadabyaz/facial-recognition-based-attendance

Facial Recognition Based Attendance System

numpy open-cv pandas pyqt python3 qml supabase

Last synced: 12 Feb 2026

https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: 22 Apr 2025

https://github.com/sakshisrivastava-2601/credit-card-fraud-detection

Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.

advanced-machine data machine-learning numpy project-repository python pytorch random-forest

Last synced: 16 Apr 2026

https://github.com/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment

A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.

flask numpy pandas python scikit-learn xgboost

Last synced: 02 Apr 2026

https://github.com/huaxiaz/honor_engineering_analysis

This repository is adapt from the course materials for Honors Engineering Analysis at Northwestern University. The course is designed for Engineering first-year undergraduate students to learn about linear algebra and its applications.

complex-numbers complexity degree-distribution echelon-form erdos-renyi-model fractals iterative-methods jacobi-iteration jupyter-notebook linear-algebra markov-chain networkx networkx-tutorial numpy numpy-matrix pagerank-algorithm python random-graphs randomgraph

Last synced: 14 Feb 2026

https://github.com/sorna-fast/iris-classifier-pca

An interactive web application for Iris flower classification using Random Forest and PCA visualization, built with Streamlit. Features real-time predictions, interactive model training, and beautiful data visualizations.

matplotlib matplotlib-pyplot matplotlib-python numpy pandas python seaborn sklearn streamlit

Last synced: 16 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/udacity-machinelearning-internship/finding_donors

First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python

csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree

Last synced: 16 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/enjirouz/intelligentsystems

Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras

cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy

Last synced: 16 Apr 2026

https://github.com/bsc-dom/npp2nvm

NumPy Persistence to Non-Volatile Memory

numpy nvm persistent-data-structure pmdk

Last synced: 04 Mar 2026

https://github.com/gauravsakure02/project_titanic_eda

This Project includes Exploratory Data Analysis of the Titanic Dataset

eda numpy pandas-dataframe sklearn-library

Last synced: 16 Apr 2026

https://github.com/itdaniher/snr

Lin1 Finale

chirpz dsp numpy python svd sympy

Last synced: 17 Apr 2026

https://github.com/mikelane/neuralnetwork

A neural network implemented in python.

machine-learning matplotlib neural-network numpy python python3

Last synced: 17 Apr 2026

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

Numba-accelerated, n-dimensional image filters.

filters image-processing n-dimensional numba numpy scientific-computing scipy

Last synced: 06 Mar 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/cusyio/datenverarbeitung-mit-numpy

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

numpy

Last synced: 08 Jun 2026

https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics

sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,

amortization amortization-schedule bank numpy pandas python

Last synced: 17 Apr 2026

https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization

This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.

beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market

Last synced: 14 Apr 2026

https://github.com/hrishixd/weather-data-analysis

This project involves analyzing weather data using Python to uncover patterns and trends in temperature, precipitation, and other meteorological parameters. The analysis showcases the use of Python libraries for data cleaning, manipulation, and visualization.

numpy pandas python

Last synced: 17 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/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/linear_algebra_for_machine_learning

Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!

machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 12 Apr 2026

https://github.com/thaikoz/data-science

This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.

numpy pandas python

Last synced: 17 Apr 2026

https://github.com/erickarpovits/carbon-metrics-model

Investigation Of Covid’s Impact On Carbon Emission Rates In the United States

deep-learning numpy pandas python

Last synced: 18 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/mrtaz77/numerical-analysis

Hub of numerical methods, implemented using python and its data analysis libraries like numpy and matplotlib.

interpolation matplotlib-pyplot newton-raphson numpy regression

Last synced: 19 Jun 2026

https://github.com/mnitin-reddy/anomaly-detection-in-server-networks

This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies

anamoly data-science machine-learning matplotlib numpy pyhton seaborn

Last synced: 19 Apr 2026

https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques

This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.

classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier

Last synced: 04 Apr 2026

https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation

Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis

excel matplotlib numpy pandas powerbi python scipy sql

Last synced: 10 Apr 2026

https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python

🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)

analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation

Last synced: 04 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/hamdaniqhmqd/sistem-cerdas

I use this repository for my storage, especially in the intelligent systems course in semester 3

matplotlib numpy pandas python streamlit

Last synced: 20 Apr 2026

https://github.com/venky-1710/stress-level-predection

Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.

css flask html machine-learning numpy pandas python python-sklearn scikit-learn

Last synced: 05 Apr 2026

https://github.com/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/harmanveer2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost

Last synced: 11 Apr 2026

https://github.com/dwarkadhish2005/weather-predictor

Built a model based on collected data which takes various parameters and predicts the weather

classifier matplotlib numpy pandas sklearn xgboost

Last synced: 20 Apr 2026

https://github.com/ilovenooodles/image-compression

Tugas Besar 2 Aljabar Linear dan Geometri

image-compression numpy python svd-matrix-factorisation

Last synced: 20 Apr 2026

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

A basic chatbot which answers questions based on history of India

chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn

Last synced: 20 Apr 2026

https://github.com/sultanazhari/credit-scoring

A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.

lending-bank numpy pandas phyton3 probability reporting

Last synced: 20 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/fabrizio-ottati/misha

Simple and fast decoding of event cameras data to NumPy

c cpp event-ca neuromorphic numpy

Last synced: 20 Apr 2026