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/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/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/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/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/nekruzash/machine-learning-decision-trees

This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.

jupyter-notebook numpy pandas python

Last synced: 02 May 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/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/italoseara/cet083

Medidas de Posição (ou separatrizes) - CET083

data-science matplotlib numpy pandas portuguese python statistics university

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/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/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/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/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/tingnie/dataanalysis

python数据分析库笔记

numpy pandas python3

Last synced: 04 May 2026

https://github.com/h3ar7b3a7/exploringjupyterlab

This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.

bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas

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/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/khaymanii/fake_news_prediction_model

This model was built using python and logistic regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 05 May 2026

https://github.com/ahasannn/multilevel_textual_emotion_classifier

Emotion detection from social media texts using machine learning algorithms.

anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn

Last synced: 05 May 2026

https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects

This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.

matplotlib numpy pandas python seaborn statistics

Last synced: 05 May 2026

https://github.com/flazefy2/ds-customer_shopping

https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset

data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics

Last synced: 05 May 2026

https://github.com/dan-shields/rocketleagueirl

Rocket League comes to Real Life!

arduino numpy opencv2 python robotics rocket-league

Last synced: 05 May 2026

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 05 May 2026

https://github.com/mihirh19/analyzing-crimes-in-la

This GitHub repository contains a comprehensive analysis of crime data in Los Angeles. Leveraging a variety of data sources, tools, and techniques, we have explored patterns, trends, and insights related to criminal activities within the city. Our analysis includes data visualization crime dynamics in different neighborhoods and over time.

dataset machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 08 May 2026

https://github.com/sominw/cheatsheets

Useful cheatsheets for DS.

cheat-sheets cheatsheet numpy pandas probability

Last synced: 08 May 2026

https://github.com/muhamedayoub/numerical-analysis-project

This repository contains an academic project for the numerical analysis module.

analysis mathematics matplotlib numpy r

Last synced: 09 May 2026

https://github.com/lgeiger/mypy-einsum

MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations

deep-learning einsum jax mypy mypy-plugins numpy pytorch

Last synced: 09 May 2026

https://github.com/khaymanii/medical_insurance_cost_prediction-_model

This Model was built using Python and Linear Regression algorithm

matplotlib numpy pandas python sckit-learn seaborn

Last synced: 09 May 2026

https://github.com/hemilkaklotar/num-plot

Python Libraries Tutorials for Numpy and Matplotlib

matplotlib numpy patterns python

Last synced: 09 May 2026

https://github.com/ibz-04/number-plate-recognition

Vehicle number plate recognition using computer vision and image processing

anpr computer-vision easyocr matplotlib-python numpy object-detection opencv

Last synced: 09 May 2026

https://github.com/vbharadwaj-bk/python_cpp_tutorial

Code for a Tutorial on Writing C++ Extensions for Python.

cpp numpy pybind11 python

Last synced: 10 May 2026

https://github.com/prakhar-002/pandas-numpy

This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥

basics-of-python numpy pandas pandas-dataframe python-library python3

Last synced: 11 May 2026

https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy

FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.

kivy kivymd matplotlib numpy python

Last synced: 11 May 2026

https://github.com/amir78729/cv2-video-art

Creating an image from an input video's frames

cv2 numpy pil python video

Last synced: 11 May 2026

https://github.com/anishshinde01/machine-learning-exercises

Python implementations of machine learning, statistics, and mathematical foundations.

linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics

Last synced: 11 Jun 2026

https://github.com/duoan/machine-learning-notebook

A notebook repository for tracking learning machine learning notebook.

data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost

Last synced: 18 Jun 2026

https://github.com/m-aadhi/game-review-sentiment-analysis

This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.

matplotlib numpy pandas-library python

Last synced: 19 Jun 2026

https://github.com/kirkalyn13/open-signal-report-generator

Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,

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

Last synced: 19 Jun 2026

https://github.com/alicankaya192/deep_learning_path

Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.

artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer

Last synced: 21 Jun 2026

https://github.com/akshay-kamath/visual-privacy-protection

An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos

ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter

Last synced: 29 Apr 2026

https://github.com/coqui123/tradegpt

TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹

analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript

Last synced: 11 Apr 2026

https://github.com/thamirisq/data_analysis_culinary_journey

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit

Last synced: 10 Apr 2026

https://github.com/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/deusares/drawerfunctions

A collection of PIL, Numpy and OpenCV functions to manipulate images

generative graphic image-processing numpy opencv pil pillow python

Last synced: 09 May 2026

https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python

🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)

analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation

Last synced: 04 Apr 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 Apr 2026

https://github.com/mnitin-reddy/anomaly-detection-in-server-networks

This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies

anamoly data-science machine-learning matplotlib numpy pyhton seaborn

Last synced: 19 Apr 2026

https://github.com/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/arufonsekun/computer-vision

This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)

computer-vision numpy opencv python3

Last synced: 17 Apr 2026

https://github.com/huangcongqing/python-libraries

python库(numpy,pandas...)学习

matplotlib numpy pandas python3 xgboost

Last synced: 09 Mar 2026

https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification

Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)

analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn

Last synced: 17 Apr 2026

https://github.com/screamman-ssh/facemousecontrol

This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.

autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 08 May 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/csoren66/credit-card-fraud-detection

Credit card fraud detection through logistic regression.

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 03 Mar 2025

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system

Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.

matplotlib notebook numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/rahatmoktadir03/market-anomaly-detection

This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.

ai anomaly-detection financial-analysis investment-strategies machine-learning numpy pandas python sklearn

Last synced: 09 Feb 2026

https://github.com/kr1shnasomani/sentimentscope

Sentiment analysis on movie review using TensorFlow and GloVe embeddings

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

Last synced: 12 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/34j/numpy-flint-arb

Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API

acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy

Last synced: 10 Mar 2026

https://github.com/dudynets/numerical-methods-labs

Labs for Numerical Methods course at Ivan Franko Lviv National University.

angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university

Last synced: 02 Apr 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/burakkagann/pixels2genai-2.0

Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.

computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae

Last synced: 19 Jun 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/shanmukhsrisaivedullapalli/automatic-ticket-classification

This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.

matplotlib neural-networks nlp numpy pandas python3 scikit-learn seaborn tensorflow tqdm wordcloud

Last synced: 11 Apr 2026