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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/naritanara/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 03 May 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

Last synced: 10 May 2026

https://github.com/yareva/linear-regression-predictor

Linear Regression Predictor Model

matplotlib numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dr-rompecabezas/medical-data-visualizer

[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/pomxark/smartdictor_0.1_nuitka_cleer

Распознание и озвучивание голосовым движком текста с экрана.

cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch

Last synced: 04 May 2026

https://github.com/gnikit/fileio

A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()

cpp file-io library numpy

Last synced: 04 May 2026

https://github.com/rahul-shrivastav/digit-recognition-nn

Web application that recognizes handwritten digits using a deep learning model

deep-learning flask numpy python reactjs tensorflow

Last synced: 11 Apr 2026

https://github.com/ola-kaznowska/median-statistic

A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.

mathematics numpy python python3

Last synced: 04 May 2026

https://github.com/arsalan692/python-telusko-playlist

A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.

basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter

Last synced: 04 May 2026

https://github.com/florianwoelki/salary_linear_regression

This project is for salary prediction using linear regression without any machine learning library.

jupyter linear-regression machine-learning matplotlib numpy pandas python regression

Last synced: 04 May 2026

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/sumaiyyaf/movie-industry-analysis

This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.

exploratory-data-analysis numpy pandas python visualization webscraping

Last synced: 04 May 2026

https://github.com/florasteve/ml-foundations-day1

Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode

Last synced: 04 May 2026

https://github.com/linsanity03/algorithmic_trading

Trading strategy based on the intersection of short-term and long-term moving averages.

jupyter-notebook matplotlib-pyplot numpy pandas

Last synced: 04 May 2026

https://github.com/saifalibaig/crop-yield-prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression

Last synced: 04 May 2026

https://github.com/shamiul5201/selfie_app_features_application

OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.

computer-vision numpy opencv python

Last synced: 04 May 2026

https://github.com/rebeccamorolong/market--basket--analysis

Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.

apriori-algorithm numpy pandas seaborn

Last synced: 10 May 2026

https://github.com/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/dzakarias/waves

Fun with the sine function inspired by Chladni plates

numpy streamlit

Last synced: 10 May 2026

https://github.com/dyrits/parite

OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON

matplotlib numpy pandas python

Last synced: 04 May 2026

https://github.com/esoltys/climate_data_viz

FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).

apache-echarts copernicus-climate-data-store fastapi numpy

Last synced: 10 May 2026

https://github.com/ashishsingh789/traffic_accident_analysis

Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.

excel matplotlib numpy pandas pandas-dataframe python seborn

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-missing-values

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

column-transformer machine-learning missing-values numpy simple-imputer

Last synced: 05 May 2026

https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

Last synced: 05 May 2026

https://github.com/kbunwong/stock-price-prediction-using-lstm

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance

Last synced: 05 May 2026

https://github.com/shibam120302/all_about_python

Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.

numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula

Last synced: 10 May 2026

https://github.com/chaudharypraveen98/lungcancerdetection

To distribute the work of doctors and process the large amount of data to produce accurate results on the go

numpy pandas pillow python scipy tenserflow

Last synced: 16 Apr 2026

https://github.com/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 05 May 2026

https://github.com/eljandoubi/trading-with-momentum

A trading strategy based on a momentum indicator.

momentum numpy pandas scipy trading trading-algorithms trading-strategies

Last synced: 05 May 2026

https://github.com/mohitsai/boston-housing-data-analysis

Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city

data-analysis data-science matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/theadeelahmed/mall-customers-segmention

This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn

matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering

Last synced: 05 May 2026

https://github.com/pyladiesams/python-oss-sprints-mar2024

Sprints to contribute to the most popular data and AI Python OSS libraries

conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn

Last synced: 05 May 2026

https://github.com/charlenry/python_data_science

Mes notebooks de travaux pratiques sur Python pour la Data Science

analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation

Last synced: 25 Jun 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/waghraj1699/fraud-detection-project

A fraud detection system with machine learning will be able to detect risk based on your historical data

data-processing decision-tree-classifier machine-learning numpy pandas

Last synced: 05 May 2026

https://github.com/hms75/movie_rating_analysis

A movie rating analysis which identifies trends amongst a dataset of 5000 movies.

data-analysis data-visualization matplotlib-pyplot numpy pandas python

Last synced: 05 May 2026

https://github.com/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/shahriarha/programming

Python problem solving, HR-30 days of code, DSA, NumPy

algorithms-and-data-structures cpp numpy programming python

Last synced: 06 May 2026

https://github.com/skorupcia/winequality-white

winequality-white.csv visualization

matplotlib numpy pandas seaborn sklearn

Last synced: 06 May 2026

https://github.com/mahmood-anaam/grid-world-value-iteration

An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.

dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm

Last synced: 10 May 2026

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

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

Last synced: 06 May 2026

https://github.com/florasteve/ml-foundations-day2

Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.

data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics

Last synced: 10 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022

In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.

csv-files ipl kaggle-dataset matplotlib numpy pandas

Last synced: 10 May 2026

https://github.com/niteshchawla/loantap-logisticregression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling

Last synced: 10 May 2026

https://github.com/sopheakchan/dull-razor-algorithm

DullRazor hair removal for dermoscopic skin images.

numpy opencv python

Last synced: 06 May 2026

https://github.com/xiaohaoo/machine-learning-examples

机器学习使用不同框架的常见模型的例子

keras matplotlib numpy python pytorch sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/paulo-santos-ds/llm

Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator

deeptranslate googletranslate numpy pyngrok python streamlit

Last synced: 06 May 2026

https://github.com/sahil210695/convolution-evolution

This is to see how a kernel will convolve over an image and what will be its output after convolution

cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit

Last synced: 10 May 2026

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 May 2026

https://github.com/fbi555/fashion-mnist-cnn-tf

🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.

adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization

Last synced: 06 May 2026

https://github.com/chirindaopensource/non_linear_forecasting_backcasting

Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.

bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models

Last synced: 11 Apr 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/xanonymous-github/multimediax

The collections of class projects in Multimedia Technologies and Applications class, NTUT.

deep-learning machine-learning numpy opencv-python

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/jatin-s16/neuron_from_scratch

Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.

deep-learning neural-networks nnfs numpy python

Last synced: 10 May 2026

https://github.com/lunanvarg/bid-data-cac22039

En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data

colab data-studio-google deepnote excel matplotlib mysql numpy pandas-library python seaborn

Last synced: 06 May 2026

https://github.com/guru-bharadwaj20/saliency-maps

A saliency-guided autonomous driving system using cmSalGAN heatmaps, a custom Fusion model, and Faster R-CNN detection. It generates refined saliency maps, trains a saliency-aware detector, and simulates vehicle navigation using datasets like NJUD, NLPR, and STEREO.

cmsalgan numpy opencv python pytorch torchvision

Last synced: 18 Nov 2025

https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria

🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente

backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python

Last synced: 18 Nov 2025

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/redinfinitypro/python-finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 06 May 2026

https://github.com/zotho/grav_euler

Euler gravity compute

gravity numpy python

Last synced: 06 May 2026

https://github.com/lohiyah/real-estate-price-forecast

A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.

flask matplotlib numpy pandas python3 scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/student-performance-in-exam

Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.

classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization

Last synced: 06 May 2026

https://github.com/jcbritobr/iris-python

Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.

data-science matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 11 Apr 2026

https://github.com/jonolav95/advent_of_code_2022

Using Python with Pandas and Numpy (www.adventofcode.com).

numpy pandas

Last synced: 06 May 2026

https://github.com/kianaabrisham/svm-from-scratch

Linear SVM from scratch with hinge loss + decision boundaries

classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm

Last synced: 07 May 2026

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 07 May 2026

https://github.com/velascort/image_equalizer_gui

Image equalizer using LUT interface.

image-processing lut numpy python scikit-image ttk

Last synced: 10 May 2026

https://github.com/sriyaroy/coding-challenges

50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.

coding-challenges computer-vision interview-prep machine-learning numpy python pytorch

Last synced: 07 May 2026

https://github.com/shriansh2002/stock-prediction

This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.

apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket

Last synced: 10 May 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33