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/kishore-sr/creditworthy

AI-powered web app built at "Codeathon 2024" IIIT Bangalore

clerk-auth node-js numpy pandas python reactjs streamlit

Last synced: 11 Apr 2026

https://github.com/nikhilroxtomar/introduction-to-numpy

A list of jupyter notebook explaining the various functions and properties of Numpy.

numpy numpy-tutorial

Last synced: 21 Apr 2026

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

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

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

Last synced: 07 May 2026

https://github.com/hossein-cod/plate-recognition

car Plate recognition with cv2

cv2 jupyter-notebook numpy opencv python

Last synced: 15 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/nikhilroxtomar/fully-connected-neural-network-in-numpy

This is an efficient implementation of a fully connected neural network in NumPy.

dnn neural-network numpy python3

Last synced: 22 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/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/cyberoctane29/unicorn-companies-analysis

This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.

data-analysis eda numpy pandas python

Last synced: 02 May 2026

https://github.com/amorehead/ml-fundamentals

A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.

machine-learning numpy pandas python scipy sentdex tensorflow tflearn

Last synced: 13 Apr 2026

https://github.com/vustron/car_price_predictor_backend

The backend server for the machine-learning model for prediction of car price

flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api

Last synced: 15 Apr 2026

https://github.com/redinfinitypro/laser-strategy

Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.

math numpy pygame random sys time

Last synced: 25 Apr 2026

https://github.com/khaymanii/heart-disease-prediction-model

This repository contains a model built using python and Logistic Regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 18 Apr 2026

https://github.com/geson-anko/numpy_ndarray_msgs

A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.

messaging numpy python ros2

Last synced: 23 Feb 2026

https://github.com/amir78729/numpy-system-solution-detector

Linear Algebra course - First Project

echelon-form linear-algebra matrix numpy

Last synced: 26 Apr 2026

https://github.com/assamirzafar/learning

My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.

calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics

Last synced: 05 Apr 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/nguyenanhtuan1912/computer_vision_exercises

Trong này sẽ chứa các file source về bài tập Computer Vision.

computer-vision numpy opencv python

Last synced: 12 Apr 2026

https://github.com/rish-16/linearly

Discount NumPu implementation using barebones Linear Algebra concepts

linear-algebra numpy

Last synced: 19 May 2026

https://github.com/prakharrr/skewangledetection

A function that returns correction angle of a skewed quadrilateral inside an image.

image-processing numpy python3

Last synced: 27 Apr 2026

https://github.com/jsonfm/numpy-dart

A simple implementation of some features of the `numpy python` library brought `to dart`.

dart fft learning numpy signals

Last synced: 27 Apr 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 04 May 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

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

Last synced: 13 Apr 2026

https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-

# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻

analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits

Last synced: 01 Jul 2025

https://github.com/aarryasutar/pipe_leak_estimation_predictor_model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm

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/nishkarsh25/end_to_end_real_estate_price_prediction_project

This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests....

css html javascript jupyter-notebook matplotlib numpy pandas python python-flask-server sklearn

Last synced: 07 Apr 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 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/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/akash-rajak/image-resizer

Python Script to resize image to any dimension.

cv2 gui image-resizer numpy os python3 random resizeimage tkinter

Last synced: 27 Apr 2026

https://github.com/ujstor/streamlit-working-hours

The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.

data-pipeline numpy pandas statistics streamlit

Last synced: 06 May 2026

https://github.com/camilajaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler

Last synced: 28 Apr 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/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/shanmukhsrisaivedullapalli/cifar10

This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.

cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow

Last synced: 03 Feb 2026

https://github.com/jabhij/eda_experiments

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis

Last synced: 14 Apr 2026

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/techassi/hfu-imgcomp

Image processing and computer graphics SOSE 22

computer-vision image-processing numpy opencv python

Last synced: 11 Apr 2026

https://github.com/adalbertobrant/macd

Estudando sobre o uso do streamlit com geração de gráficos e dados da B3

bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks

Last synced: 07 Feb 2026

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

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/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Feb 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/priyanka7411/customer-churn-prediction

Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.

jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn

Last synced: 04 May 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/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/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/gauravtrivedi967/mask_detection

In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.

cv2 keras numpy os

Last synced: 18 Apr 2026

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/ibz-04/number-plate-recognition

Vehicle number plate recognition using computer vision and image processing

anpr computer-vision easyocr matplotlib-python numpy object-detection opencv

Last synced: 09 May 2026

https://github.com/megha060199/academic-erp

Python, SQL, Javascript

mysql numpy python

Last synced: 04 May 2026

https://github.com/epsoft/tensorflow-variables

Tensorflow Variables

numpy tensorflow variables

Last synced: 04 May 2026

https://github.com/fatma-moanes/deep-learning-labs

My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.

classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis

Last synced: 14 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/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/takkii/pylean

Data analysis ( 🐍 💎 📈 )

analayze matplotlib numpy pandas python scikit-learn

Last synced: 09 Sep 2025

https://github.com/quinta0/pycolors

A python program to help people with color blindness recognize color in an image

colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui

Last synced: 05 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/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/khaymanii/fake_news_prediction_model

This model was built using python and logistic regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 05 May 2026

https://github.com/shreeparab1890/flipkart-laptops-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.

data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 14 Apr 2026

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

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

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

Last synced: 09 May 2026

https://github.com/tritonix711/digitvision-number-predictor

"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.

cnn keras matplotlib numpy os pillow plt python tensorflow tkinter

Last synced: 05 May 2026

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

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

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

Last synced: 05 May 2026

https://github.com/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/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing

algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 05 May 2026

https://github.com/elissorokin/data-analyst-portfolio-rus

Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.

ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis

Last synced: 25 Feb 2026

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 05 May 2026

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

Python basics-advance

numpy pandas scikit-learn

Last synced: 05 May 2026

https://github.com/nomadsdev/financial-trend-analyzer

FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.

business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis

Last synced: 19 Jan 2026

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

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/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