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/seungjaelim/scratchml

Implement neural network only using numpy

deep-learning machine-learning numpy

Last synced: 20 Apr 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/chr5tphr/funcache

Minimally cache python function outputs on disk!

cache disk functions hash memoization metrohash numpy python pytorch

Last synced: 21 Apr 2026

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/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/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/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/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/aarmn/maryam

🧮 Maryam is a light, hackable and accurate python mathematical module written for simple usage with no dependencies (up to now). In memory of Iranian mathematician Maryam Mirzakhani, The first woman and Iranian who's honored by Fields medal

algebra discrete-mathematics maryam math matrix numpy python python3

Last synced: 24 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/n1colasf/bigdata-cert

Clases y Practicos del Certificado de Big Data de la carrera Analista en Tecnologías de la Información de la Universidad ORT Uruguay

big-data certificate jupyter-notebook numpy pandas python sklearn tensorflow university-course

Last synced: 25 Apr 2026

https://github.com/samaid/game-of-life

Conway's Game of Life implemented using array libraries and JIT compilers for CPU and GPU

dpnp numba numba-dpex numpy opencv-python python

Last synced: 25 Apr 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/akash-rajak/video-cropper

Script to crop video according user's size and dimension.

cv2 numpy python3 tkinter video video-cropper

Last synced: 27 Apr 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/shsiena/evolutionary-dots

A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.

evolutionary-algorithm genetic-algorithm machine-learning mutation numpy pathfinding pygame python3

Last synced: 27 Apr 2026

https://github.com/iusztinpaul/ibm-assets-recommendation-engine

Deployable recommendation system for predicting the fittest IBM articles for a given user.

ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation

Last synced: 27 Apr 2026

https://github.com/corentin-mzr/pmi

Project Master IPSA : Modeling the transport of a chemical species in a fluid

1d 2d fluid-dynamics fluid-simulation matplotlib numpy physics physics-2d physics-simulation python stochastic-processes

Last synced: 07 Jun 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/haukzero/decisiontree-strat-from-scratch

依据西瓜书从零开始手写决策树分类器,只使用 pandas, numpy, graphviz 三个扩展包,其中 graphviz 用于将生成的树可视化

decision-tree-classifier machine-learning numpy python start-from-scratch

Last synced: 27 Apr 2026

https://github.com/iliatrofimov/linearsystems_solvers

Several methods of solving sistems of linear equasions

algebra-lineal numpy

Last synced: 28 Apr 2026

https://github.com/ikaushikpal/ml_prerequisite

In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo

jupyter-notebook matplotlib numpy pandas python

Last synced: 28 Apr 2026

https://github.com/mgobeaalcoba/pandas_y_numpy

Trabajos realizados con estas librerías de Python para manejo de datos.

data-analysis data-science dataset numpy pandas python

Last synced: 28 Apr 2026

https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 28 Apr 2026

https://github.com/mrbrain295/prime-finder

pip install prime-finder-mammillaria for installation

numpy prime-numbers python3

Last synced: 28 Apr 2026

https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning

This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.

data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn

Last synced: 28 Apr 2026

https://github.com/hpennington/mono-visual-odometry

Monocular Visual Odometry in NumPy

computer-vision numpy opencv python

Last synced: 28 Apr 2026

https://github.com/vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent

Last synced: 28 Apr 2026

https://github.com/patilni3/python_data_analysis

Important Tools and its Functions

excel matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/princeofpuppers/qbot

A Domain-Specific Programming Language for Analyzing Quantum Algorithms

esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language

Last synced: 28 Apr 2026

https://github.com/sureshbeekhani/machine-learning-algorithms

A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn

Last synced: 28 Apr 2026

https://github.com/datarohit/car-evaluation--classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn

Last synced: 28 Apr 2026

https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 28 Apr 2026

https://github.com/yunfanjiang/ml_interview_with_numpy

Implementation of ML algorithms using NumPy from scratch

from-scratch interview machine-learning machine-learning-algorithms numpy

Last synced: 29 Apr 2026

https://github.com/tynoee/movies-data-anlysis

This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.

jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/hernandemonteiro/host_national_search_2015

Análise Estatística da Pesquisa Nacional por Amostra de Domicílios

colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn

Last synced: 29 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/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/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/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/athari22/house_sales_in_king_count_usa

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library

Last synced: 01 May 2026

https://github.com/back2matching/turboquant-vectors

Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.

compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search

Last synced: 08 Jun 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/madhuresh2011/telco-customer-churn-analysis-using-python

The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.

csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation

Last synced: 02 May 2026

https://github.com/cs-joy/numpyv1.25.2

@numpy

numpy

Last synced: 03 May 2026

https://github.com/pratishtha-abrol/principlecomponentanalysis

Principle Component Analysis with Numpy and Python

numpy principal-component-analysis python

Last synced: 03 May 2026

https://github.com/harshitwaldia/stock-price-prediction

An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: 🔮 AI Predictions for stock movements 🌍 Global market support (US, India, China, Japan, UK) 📊 Interactive React dashboard with charts & recent searches ⚡ Flask backend powered by Tensor/Keras & Yahoo Finance

dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction

Last synced: 03 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/realtristan/micronet

Neural network library from scratch

neural-networks numpy python pytorch

Last synced: 03 May 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/saptak625/doublependulum

This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.

differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython

Last synced: 03 May 2026

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/vidursatija/tensorpy

A simple NumPy autodiff library

autograd machine-learning numpy python

Last synced: 03 May 2026

https://github.com/wilfriedmercier/somptimised

An optimised version of sklearn-som with extended functionalities.

machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som

Last synced: 09 Jun 2026

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

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

csv matplotlib numpy pandas python3 seaborn

Last synced: 03 May 2026

https://github.com/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/simipk12/eda-healthcare-project

Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.

eda matplotlib numpy pandas python seaborn

Last synced: 04 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/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 04 May 2026

https://github.com/chirindaopensource/crypto_currencies_interest_rates

End-to-end Python Implementation of Bergault et al.'s (2025) methodology for constructing yield curves without traditional bonds. Implements inverse options replication, robust statistical methods, and closed-form analytical solutions for risk-neutral interest rate discovery in digital asset markets.

academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve

Last synced: 04 May 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/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/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/harmanveer-2546/predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization

Last synced: 04 May 2026

https://github.com/md-emon-hasan/learnpython.org

A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.

exception-handling function generator lambda-functions numpy numpy-library python reduce

Last synced: 04 May 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/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/anupam0202/contextual-rag-chatbot

Contextual RAG Chatbot that processes PDF documents using the Google Gemini API

google-generativeai numpy pypdf2 scikit-learn streamlit

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

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/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

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/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