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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/hansalemaos/locate_pixelcolor

Locate RGB values in a picture! 40x faster than PIL, 5x faster than numpy

bot colors locate np numexpr numpy rgb

Last synced: 27 Feb 2026

https://github.com/w86763777/numpynet

A simple Deep Learning framework powered by numpy.

backpropagation cnn deeplearning fundamental numpy python

Last synced: 11 Feb 2026

https://github.com/raduldev/gromacs

Molecular Dynamics Simulation using GROMACS in Jupyter notebook

bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell

Last synced: 09 Apr 2026

https://github.com/rickydoan/machine-learning-risk-model-prediction-classification

This project leverages machine learning to provide insights into loan and credit risk. By analyzing user-provided financial data, it predicts the likelihood of loan default, generates a credit score, and assigns a risk rating. Designed to assist financial institutions and individuals in making informed decisions

classification joblib machine-learning numpy pandas python sklearn-library streamlit

Last synced: 27 Feb 2026

https://github.com/wrighang/shipping-data-analysis

Independent Project: Transit time trends analysis following a major shipping process change.

data-analysis matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 10 Feb 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/carrington-115/ppt-generator-from-excel

PPT Generator for Excel file

numpy oop pandas python python-pptx

Last synced: 10 Feb 2026

https://github.com/sorna-fast/iris-classifier-pca

An interactive web application for Iris flower classification using Random Forest and PCA visualization, built with Streamlit. Features real-time predictions, interactive model training, and beautiful data visualizations.

matplotlib matplotlib-pyplot matplotlib-python numpy pandas python seaborn sklearn streamlit

Last synced: 16 Apr 2026

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

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

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

Last synced: 14 Apr 2026

https://github.com/faisal-khann/diwali-sales-analysis

The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future

csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis

This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.

jupiter-notebook lfp-analysis matplotlib numpy signal-processing

Last synced: 01 May 2026

https://github.com/zazi2002/neuroscience-project-olfactory-signal

This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.

frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing

Last synced: 30 Apr 2026

https://github.com/prashver/customer-segmentation

This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.

customer-segmentation matplotlib numpy pandas seaborn sklearn

Last synced: 07 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/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/rixiiz/using-knn-to-predict-the-obp-of-mlb-players

Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 05 Apr 2026

https://github.com/ashishpatel8736/soq-solver-cramer

This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.

numpy python streamlit

Last synced: 14 Apr 2026

https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning

This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.

matplotlib numpy pandas python scikit-learn seaborn support-vector-machine

Last synced: 19 Jan 2026

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

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

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

Last synced: 19 Jan 2026

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

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

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

Last synced: 01 Jul 2025

https://github.com/nishkarsh25/end_to_end_real_estate_price_prediction_project

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

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

Last synced: 07 Apr 2026

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 2026

https://github.com/aarryasutar/hate_speech_detection

This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.

confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud

Last synced: 09 Apr 2026

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

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

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

Last synced: 28 Apr 2026

https://github.com/shanmukhsrisaivedullapalli/cifar10

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

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

Last synced: 03 Feb 2026

https://github.com/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/li-plus/tinynn

An educational PyTorch-like neural network framework based on NumPy

autograd deep-learning machine-learning neural-network numpy python

Last synced: 30 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/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 01 Jul 2025

https://github.com/vidhi1290/ai-ml-cartoonifier

Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.😛

bilateral-filter cartoonify-ai edge-detection matplotlib numpy opencv skimage tensorflow

Last synced: 30 Apr 2026

https://github.com/ashar97/financial-engineering

Financial Engineering Practicum Assignments

financial-engineering matlab numpy pandas python r yahoo-finance

Last synced: 11 Apr 2026

https://github.com/bhavyemathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 17 Apr 2026

https://github.com/akshaypatra/expression_detector

The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.

keras-tensorflow neural-network numpy opencv-python python3

Last synced: 30 Apr 2026

https://github.com/hklyousfi/cyberxnoteloom

Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering​

adsr-envelope digital-audio hybrid-synth midi-processor numpy piano-synthesizer python

Last synced: 30 Apr 2026

https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken

Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.

3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics

Last synced: 11 Apr 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 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/narenkhatwani/arkouda-projects

This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)

arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python

Last synced: 17 Apr 2026

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 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/zazi2002/neuroscience-reinforcement-learning

Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.

deep-learning matplotlib numpy pytorch reinforcement-learning

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/achuth-0908/hemoguard-anemia-predictor

A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.

css flask html matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks

Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.

cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn

Last synced: 03 May 2026

https://github.com/nmsby/pca-machine-learning-lab

Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.

data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization

Last synced: 01 May 2026

https://github.com/gauravsakure02/pubg_win_prediction

Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game

matplotlib numpy pandas sklearn

Last synced: 29 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/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 01 May 2026

https://github.com/prakashjha1/stock-trend-prediction

Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.

deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow

Last synced: 11 Apr 2026

https://github.com/pacatro/lse2text

Deep learning program that translates Spanish Sign Language (LSE) to text in real time.

ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation

Last synced: 11 Apr 2026

https://github.com/kanishk1420/renewabled-data-helper

An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit

gemini-api langchain mongodb numpy python streamlit

Last synced: 11 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/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/ishutak/disease_prediction

An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.

css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2

Last synced: 11 Apr 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/kartikeya443/handgesture_detection_opencv

A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).

deep-learning mediapipe numpy opencv tensorflow

Last synced: 11 Apr 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/bogdang888g/jojo_stands

Анализ параметров стендов из ДжоДжо

numpy pandas plotly python scipy

Last synced: 11 Apr 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/bhattbhavesh91/tf-numpy-example

Faster NumPy using Tensorflow's tf.experimental.numpy module

keras numpy tensorflow

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/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/smolodtsova13/website

Веб-сайт для стоматологии

bootstrap django numpy pandas python

Last synced: 11 Apr 2026

https://github.com/sehgalnaval/olympics-data-analysis

I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.

heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn

Last synced: 11 Apr 2026

https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 11 Apr 2026

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 11 Apr 2026

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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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