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/bursasha/deeplearningai-machine-learning-tensorflow-course

Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠

convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow

Last synced: 10 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/ralstonraphael/water_access_ml_project

This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.

data-science machine-learning numpy pandas python

Last synced: 29 Apr 2026

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/earth-app/doc2lora

Generate LoRA Adapters from documents

ai cloudflare-ai cloudflare-workers lora numpy py python torch

Last synced: 27 Jun 2026

https://github.com/prodev717/neurogen

A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.

ai backpropagation deep-learning machine-learning mlp neural-networks numpy python slp

Last synced: 30 Apr 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/rakibhhridoy/exploratorydataanalysis-python

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.

ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest

Last synced: 30 Apr 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/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: 24 Oct 2025

https://github.com/kr1shnasomani/sentimentscope

Sentiment analysis on movie review using TensorFlow and GloVe embeddings

deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow

Last synced: 12 Apr 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/Zion-Dev1/E-commerce-Analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 24 Oct 2025

https://github.com/charmve/numpycnn

Building Convolutional Neural Networks From Scratch using NumPy

cnn computer-vision deep-learning deep-learning-tutorial machine-learning numpy project python tutotrial

Last synced: 22 Apr 2026

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/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/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/simran2911/flight-price-pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression

Last synced: 21 Apr 2026

https://github.com/torahappy/takasa

OpenStreetMap 高低差を考えた最短(?)経路問題ソルバー

numpy openstreetmap scipy shortest-path

Last synced: 30 Apr 2026

https://github.com/sralter/term_deposit_marketing

Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.

matplotlib numpy optuna pandas seaborn sklearn

Last synced: 30 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/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/gg7991/data-analysis-with-python-certification-freecodecamp

Challenges for DA with Python Certification on FreeCodeCamp

matplotlib matplotlib-pyplot numpy pandas

Last synced: 21 Apr 2026

https://github.com/anarya22/heart-disease-classification

Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.

data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn

Last synced: 01 May 2026

https://github.com/gyanz/py-gpu-scripts

Sample python scripts for gpu processing

gpu numpy pysdl2 python vulkan

Last synced: 21 Apr 2026

https://github.com/snehilsanyal/ee524

Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session

course-webpage machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 01 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/chuvalniy/torchy

Built from scratch neural network library using only NumPy

backpropogation from-scratch gradient math neural-net numpy pytorch-like

Last synced: 01 May 2026

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

Tensorflow Basics

basics numpy tensorflow

Last synced: 01 May 2026

https://github.com/macagua/entrenamiento.data_scientist_python

Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.

data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit

Last synced: 01 May 2026

https://github.com/cchandre/gc2d

Guiding-center dynamics in plasma physics

hamiltonian numpy plasma-physics pyhamsys scipy symplectic-integrator

Last synced: 01 May 2026

https://github.com/joshi-jyoti/heart-disease-prediction

This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺

heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn

Last synced: 01 May 2026

https://github.com/cchandre/rg

Renormalization for the break-up of invariant tori in Hamiltonian flows

expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy

Last synced: 01 May 2026

https://github.com/scorleos773/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation

Last synced: 02 May 2026

https://github.com/akash-rajak/image-noise-remover

Python Script to remove noise from image.

cv2 image-noise-remover numpy os python3 random tkinter

Last synced: 28 Apr 2026

https://github.com/mtgsoftworks/blink-detecion-player

It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.

dlib numpy opencv-python python3 scipy selenium-webdriver

Last synced: 13 Apr 2026

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

Last synced: 02 May 2026

https://github.com/oguzhansarigol/expected-goals-xg-data-analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 02 May 2026

https://github.com/dhruv-26/parkease-pro

ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.

automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui

Last synced: 09 Jun 2026

https://github.com/harizonelopez/face-detector

This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.

cdn dnn numpy opencv python3

Last synced: 03 May 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/lostvikx/data-analysis-py

Notes & Code following Python for Data Analysis textbook

data-analytics matplotlib notes numpy pandas

Last synced: 20 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/yyhsong/ipydataanalysis

Python数据分析与展示

matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/iv4n-ga6l/OpenPose-Prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 28 Apr 2025

https://github.com/byigitt/smartmove

fake data generation and analysis for ankara metro station

ankara cv2 metro numpy pandas scikit-learn

Last synced: 03 May 2026

https://github.com/aymen016/emotion-recognition-using-face-detection

A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.

gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python

Last synced: 13 Apr 2026

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/vidursatija/tensorpy

A simple NumPy autodiff library

autograd machine-learning numpy python

Last synced: 03 May 2026

https://github.com/shibam120302/plant_deseases_prediction

Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

keras numpy opencv python

Last synced: 13 Apr 2026

https://github.com/asit-14/python-programming

This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.

matplotlib modules numpy pandas python tkinter

Last synced: 03 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/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/salmandeveloperz/student-performance-prediction-and-grade-classification

A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.

ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning

Last synced: 20 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/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/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance

Last synced: 14 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/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/pinedah/escom_programming-for-data-science

This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.

data-science escom matplotlib numpy pandas python python-algorithms python-library

Last synced: 04 May 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/heisenberg141/probability-based-boundary-detection

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps

Last synced: 04 May 2026

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/mgobeaalcoba/datacademy

Iré subiendo los distintos desafíos del reto de Platzi llamado Datacademy

anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/tingnie/dataanalysis

python数据分析库笔记

numpy pandas python3

Last synced: 04 May 2026

https://github.com/fearless-spider/stooq-dax-seasonal

Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.

numpy pandas python statistics

Last synced: 13 Apr 2026

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

Tensorflow Variables

numpy tensorflow variables

Last synced: 04 May 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/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

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/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/ayushsaksena30/cosmic-classifier

This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.

catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer

Last synced: 15 Apr 2026

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/flazefy2/ds-global_cybersecurity_threats

https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024

data-science data-visualization numpy python squarify statistics

Last synced: 05 May 2026

https://github.com/mauriciovazquezm/machinelearning_course_spring2023

Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.

machine-learning machine-learning-algorithms numpy python r-language

Last synced: 05 May 2026