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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/mayankmittal29/stockvision

Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.

keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api

Last synced: 07 Apr 2026

https://github.com/roma-glushko/numpy-katas

🧮 Exercises to sharp scientific computations with Numpy

katas numpy

Last synced: 18 May 2026

https://github.com/ndohvich/time_series

time series analyse with python language

data-science data-visualization numpy pandas python time-series

Last synced: 18 Apr 2026

https://github.com/santoshn86/image-classification

This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .

data-science flask-server html-css-javascript jupyter-notebook machine-learning matplotlib-pyplot numpy opencv pandas python sklearn-metrics

Last synced: 11 Apr 2026

https://github.com/ksatrajit0/heart-disease-prediction-ml

Predicts the risk of heart attack in a patient using their medical record

heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 19 Apr 2026

https://github.com/haloapping/ml-workflow

Template alur kerja machine learning.

mahine-learning numpy pandas python3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/franklingu/ml_foundations

Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn

coursera jupyter-notebook machine-learning numpy pandas scipy sklearn

Last synced: 07 Apr 2026

https://github.com/islamshahil/machinelearning

A Fun Project - Using LinearRegression, Predicting the Value.

hacktoberfest linearregression machine-learning numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/msmrexe/numpy-neural-network

A scratch-built NumPy implementation of a Fully Connected Neural Network, with a sequential model API, a variety of layers (Linear, ReLU, BatchNorm), loss functions (MSE, SoftmaxCrossEntropy), and a robust training `Solver` to create and train multi-layer perceptrons for both classification and regression.

backpropagation batch-normalization course-project deep-learning fully-connected-neural-network neural-networks nn-from-scratch numpy python university-project

Last synced: 18 May 2026

https://github.com/f1scher7/risk-master

RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM

custom-implementation dense lstm-neural-networks numpy python streamlit-webapp

Last synced: 18 May 2026

https://github.com/vinicius999/eda-basketball-streamlit

Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.

numpy pandas python streamlit webapp webscraping

Last synced: 07 Apr 2026

https://github.com/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/dkealvaro/mnist

Achieved 75% accuracy in the MNIST dataset using a simple cosine similarity approach under 50 lines of code, with no training

cosine-similarity machine-learning mnist numpy

Last synced: 18 May 2026

https://github.com/vartikaraj2512/animalclassification

🐾 Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. 📥 Load & extract data, 🔄 preprocess images, 🧠 train models (VGG-16 & ResNet50), and 📈 plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). 🛠️ Install: pip install tensorflow numpy opencv-python

classification cnn kaggle machine-learning numpy opencv pandas tensorflow

Last synced: 20 Jan 2026

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/binarymax/multilabel

Multi-hot label encoding for NumPy

multihot numpy

Last synced: 19 May 2026

https://github.com/kentlouisetonino/sw-statistics-calculator

A CLI program that compute mean, median, and percentiles.

numpy os python3 statistics

Last synced: 29 Mar 2025

https://github.com/mr-chang95/ibm_recommendation_system

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree

Last synced: 20 Apr 2026

https://github.com/xaxm007/nn-numpy

A Basic Logistic Regression Neural Network using NumPy and calculus.

critical-indulgence logistic-regression neural-network numpy study

Last synced: 19 May 2026

https://github.com/javierkaiser9/rgbd-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: 31 Dec 2025

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 19 May 2026

https://github.com/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 May 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

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-learning

Last synced: 11 Apr 2026

https://github.com/mrarvind90/fcc-mean-var-std-calculator

A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.

black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3

Last synced: 19 May 2026

https://github.com/fareedkhan-dev/google-play-store-analysis

This repo contains single jupyter notebook file which contains all the code

analysis numpy pandas playstore python3

Last synced: 11 Apr 2026

https://github.com/raghul-m/data-analysis-with-jupyternotebook-python

This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries

beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping

Last synced: 19 May 2026

https://github.com/algab/recommedation-content-based

Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation

numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/adolbyb/data-science-python

An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club

data-analysis data-science data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/buathiertom/pictures-stacking

SAE de développement d'une interface d'empilement d'image

astropy mathplotlib numpy pyplot pyqt6 python-pyqt6

Last synced: 29 Mar 2025

https://github.com/zacheddy/imageclassifier

A convolutional neural network from scratch to classify images (demo available)

image-classifier machine-learning neural-network numpy

Last synced: 19 May 2026

https://github.com/sirinemaaroufi/arabic-sentiment-analysis

This project focuses on developing a sentiment analysis model for Arabic text, leveraging hybrid transformer-based models (AraBERT) and LSTM approaches.

arabert arabic-nlp bert-model feature-extraction lstm machine-learning nlp numpy pandas pretrained-models python pytorch sentiment-analysis transformers

Last synced: 18 Apr 2026

https://github.com/amritakaur-08/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 08 Apr 2026

https://github.com/lbirkert/digit-recognition

[from-scratch] feed forward neural network that can recognize handwritten digets

feedforward-neural-network machine-learning numpy python

Last synced: 19 May 2026

https://github.com/apoorva-info/cognitive-load-using-blink-rates

Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.

matplotlib numpy pandas python

Last synced: 08 Apr 2026

https://github.com/abhilash1910/deepgenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn

Last synced: 19 May 2026

https://github.com/kientech/crop-recommendation-with-machine-learning

The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.

fastapi machine-learning modeling numpy pandas python reactjs sklean

Last synced: 22 Mar 2025

https://github.com/kr1shnasomani/traffisense

A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.

computer-vision deep-learning neural-network numpy opencv pypi pytorch

Last synced: 12 Apr 2025

https://github.com/reusjimenez/python-data-analysis

Casos completos y ejercicios prácticos de análisis de datos. 📊

data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn

Last synced: 12 Apr 2026

https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python

We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.

matplotlib numpy pandas python sentiment-analysis tweepy wordcloud

Last synced: 09 May 2026

https://github.com/carlolepelaars/skq

Scientific Toolkit for Quantum Computing

numpy python quantum quantum-computing quantum-machine-learning

Last synced: 19 May 2026

https://github.com/wyllduck/pygame_escapefromgaia

PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'

matplotlib networkx numpy pygame python3

Last synced: 08 May 2026

https://github.com/thekartikeyamishra/voicecloner

The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.

ai indic-transliteration librosa machine-learning numpy nvidia-pyindex nvidia-tacotron2 nvidia-waveglow python torch torchaudio

Last synced: 03 Feb 2026

https://github.com/1-harshit/cs203-probabality-in-cs

Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur

numpy python

Last synced: 20 May 2026

https://github.com/miladsade96/numpy_and_algebra

Introduction to numpy and linear algebra

algebra linear-algebra matrices numpy tensor vectors

Last synced: 17 May 2026

https://github.com/popckovs/computational_mathematics

Создаю свой модуль для решение задач по вычислительной математике.

mathematics matplotlib numpy python-3

Last synced: 25 Jan 2026

https://github.com/aramshiva/boids

🦅 Artifical Swarm Intelligence

art boids generative math numpy pygame python swarm

Last synced: 20 May 2026

https://github.com/kr1shnasomani/treetracer

Detection of trees from aerial image using detectron2

computer-vision deep-learning detectron2 neural-network numpy opencv pypi pytorch

Last synced: 05 Mar 2025

https://github.com/hedriss10/projetc-cardio

"Analise de dados sobre saúde"

jupyter-notebook matplotlib numpy pandas python

Last synced: 20 May 2026

https://github.com/k4u5h4l/curve-fitting-from-scratch

A regression curve fitted on some points and implemented from scratch using python.

curve-fitting jupyter-notebook numpy python regression

Last synced: 08 May 2026

https://github.com/zaaim-halim/image-processing

an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL

contour-detection corner-detection edge-detection filters image-processing numpy python3

Last synced: 20 May 2026

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 19 May 2026

https://github.com/officiallyxenos/30-days-of-data-analysis-projects-

30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.

matplotlib numpy pandas python-3 seaborn statistics

Last synced: 08 Apr 2026

https://github.com/fractalyze/zk_dtypes

A NumPy dtype extension used in Zero Knowlege libraries

numpy zk

Last synced: 02 Jan 2026

https://github.com/ksasi/boston_housing

Predicting Boston Housing Prices - Udacity

machine-learning numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/its-maneeshk/fake-product-detection-system

The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.

api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn

Last synced: 05 Mar 2025

https://github.com/rakibhhridoy/imageprocessing

Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.

augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow

Last synced: 08 Apr 2026

https://github.com/medyessinkhlif/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 13 May 2025

https://github.com/tabotcharlesbessong/recommendationframeworks

learning deep learning and machine learnint

matplotlib numpy os pandas pillow python3 pytorch

Last synced: 08 Apr 2026

https://github.com/shahin-ro/table-detection

Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨

colab computer-vision data-extraction data-visualization document-processing image-analysis image-processing machine-learning matplotlib numpy ocr opencv pandas persian-ocr persian-text python table-detection table-extraction tesseract text-recognition

Last synced: 08 Apr 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/florianwoelki/mnist_fashion_cnn

This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.

classifier cnn fashion keras mnist numpy pandas tensorflow

Last synced: 08 Apr 2026

https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-

In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.

machine-learning matplotlib numpy pandas python streamlit

Last synced: 08 Apr 2026

https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp

Last synced: 02 Mar 2026

https://github.com/KernFerm/PresFutImpactSim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 16 Oct 2025

https://github.com/earth-app/doc2lora

Generate LoRA Adapters from documents

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

Last synced: 16 May 2026

https://github.com/aisurjyasamantaray/customer-purchase-analysis

This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.

customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots

Last synced: 09 Apr 2026

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 2025

https://github.com/savitar-hub/image-classification

Notebooks on how image classification can help businesses make better decisions and improve the customer experience.

image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow

Last synced: 08 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: 07 Apr 2025

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/cchandre/confkam

Conjugation method in configuration space for invariant tori of Hamiltonian systems

conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy

Last synced: 06 May 2026

https://github.com/davityak03/animal-image-classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

cnn-classification keras numpy pandas pretrained-models python tensorflow

Last synced: 08 Apr 2026

https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs

Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.

keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/antonvagabond/maze

Operation and functionality of two mazes.

matplotlib maze numpy pillow python python3

Last synced: 07 May 2026

https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method

Last synced: 06 Jan 2026

https://github.com/dmarks84/ind_project_california-housing-data--kaggle

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml

Last synced: 08 Apr 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
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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 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31