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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
Last synced: 09 Apr 2026
https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 Apr 2026
https://github.com/ZauJulio/FeaturesAnalyzer
Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
Last synced: 10 Aug 2025
https://github.com/dwarkadhish2005/house-price-predictor
Applied neural network for machine learning and done many analysis of data
keras matplotlib numpy pandas python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
Last synced: 09 Apr 2026
https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo
Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.
math matplotlib-pyplot numpy pandas python3 sklearn
Last synced: 09 Apr 2026
https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
fluid-simulation fluid-solver hamiltonian kinetic-modeling mathematica matlab numpy plasma-physics python3 scipy vlasov-equation vlasov-solver
Last synced: 09 Apr 2026
https://github.com/amanpatel-1234/automatic_data_analyzer_app
📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.
app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit
Last synced: 09 Apr 2026
https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
Last synced: 12 Aug 2025
https://github.com/bhavik-jikadara/house-price-prediction
House Price Prediction
data-science dataprocessing eda jupyter-notebook machine-learning matplotlib model numpy pandas python seaborn test-train-dataset
Last synced: 09 Apr 2026
https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
adequacy analysis generation julia numpy power-grids power-systems power-systems-analysis python simulation
Last synced: 09 Apr 2026
https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
Last synced: 13 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/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
Last synced: 19 Jan 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.
Last synced: 14 Apr 2026
https://github.com/akash-rajak/image-resizer
Python Script to resize image to any dimension.
cv2 gui image-resizer numpy os python3 random resizeimage tkinter
Last synced: 27 Apr 2026
https://github.com/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/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
aplpy astronomy astrophysics astropy galaxy-clusters maps number-counts numpy python stacking star-formation statistical-analysis
Last synced: 28 Apr 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/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
Last synced: 28 Apr 2026
https://github.com/imsalmanmalik/linear-regression-model-airbnb-prices-seattle
Linear Regression Model on Airbnb prices of Seattle using Dash and Python
airbnb choropleth-map dash dataanalysis datacleaning datamanupilation datascience exploratory-data-analysis feature-engineering machine-learning matplotlib normalization numpy onehot-encoding pandas python seaborn-plots sklearn-library trainandtestsets visualization
Last synced: 28 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/heart-failure-prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results
Last synced: 14 Apr 2026
https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction
🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.
backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server
Last synced: 14 Apr 2026
https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
hashlib numpy opencv3 python streamlit-webapp
Last synced: 28 Apr 2026
https://github.com/mrbrain295/prime-finder
pip install prime-finder-mammillaria for installation
Last synced: 28 Apr 2026
https://github.com/ngirimana/data-analyis-project
data-science matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler
Last synced: 27 Jan 2026
https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
Last synced: 28 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/kavithma-thushal/machine-learning-room-gdse66
Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.
docker flask jinja2 jupyter-notebook numpy pandas python
Last synced: 14 Apr 2026
https://github.com/brpy/100-prisoners-problem
Simulation of 100 Prisoners Problem using Python
numpy python simulation veritasium
Last synced: 14 Apr 2026
https://github.com/spandey1296/internship_banking_ml_project
Machine Learning (Training + Internship) by InternshipStdio
decision-tree-classifier machine-learning-algorithms matplotlib-pyplot naive-bayes-classifier numpy pandas-dataframe regression-algorithms seaborn-plots sklearn-library supervised-learning
Last synced: 28 Apr 2026
https://github.com/mahiponii/hyperion_sort
lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow
Last synced: 28 Apr 2026
https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 28 Apr 2026
https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/kwanit1142/machine-learning-models-on-different-scenarios
Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.
deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/dantasl/probabilidade-analise
Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2
data-science numpy pandas probability
Last synced: 13 Apr 2026
https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
Last synced: 29 Apr 2026
https://github.com/aryansk/movie-recommendation-system
A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯
machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn
Last synced: 29 Apr 2026
https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
Last synced: 29 Apr 2026
https://github.com/yunfanjiang/ml_interview_with_numpy
Implementation of ML algorithms using NumPy from scratch
from-scratch interview machine-learning machine-learning-algorithms numpy
Last synced: 29 Apr 2026
https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse
Last synced: 29 Apr 2026
https://github.com/v-mayya/python-sales-data-analysis
Group project with another team member held by CFG to conduct spreadsheet data analysis of fake sales data using Python
analysis data matplotlib numpy python
Last synced: 29 Apr 2026
https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
data-analysis eda html numpy pandas-dataframe plotly python vizualisation
Last synced: 24 Feb 2026
https://github.com/aryansingla45/image-classification-project
A Deep Learning Model which classifies Cats and Dogs.
artificial-neural-networks convolutional-neural-networks deep-learning keras machine-learning numpy pandas python tensorflow
Last synced: 13 Apr 2026
https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
jupyter-notebook numpy pandas python
Last synced: 29 Apr 2026
https://github.com/garcane/Income-Prediction-ML
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 24 Oct 2025
https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
Last synced: 29 Apr 2026
https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn
Last synced: 29 Apr 2026
https://github.com/jilliennelapid/finalproject_group53
Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.
matplotlib numpy pydub python scipy tkinter
Last synced: 14 Apr 2026
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
Last synced: 15 Apr 2026
https://github.com/403errors/offset-to-hydrostatic-curve
Group project for making hydrostatic curves from the given ship offset table using python libraries
data-visualization matplotlib-pyplot numpy python3 sklearn
Last synced: 10 May 2026
https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data datascience datascience-crash-course datascience-machinelearning datascientist datasets freebirdscrew matplotlib numpy numpy-library pandas plotly plotly-python python python3 simranjeet simranjeetsingh
Last synced: 29 Apr 2026
https://github.com/sebsikora/curve_fitting
A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.
curve-fitting minimisation numpy optimisation python scipy
Last synced: 13 Apr 2026
https://github.com/vvipjain/employee-analysis
Employee Data Analysis
numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python plotly plotly-express plotly-python python python3
Last synced: 29 Apr 2026
https://github.com/a3ro-dev/weather-prediction-application
a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.
charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp
Last synced: 06 Feb 2026
https://github.com/socaity/media-toolkit
Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.
base64 bytesio fast-task-api httpx image-processing json numpy serialization video
Last synced: 27 Oct 2025
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/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
Last synced: 13 Apr 2026
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/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
keras-image-augmentation keras-image-classifier keras-tensorflow matplotlib numpy python3 rmsprop tensorflow2
Last synced: 30 Apr 2026
https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 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/nirmalyabag20/crop-yield-prediction-using-machine-learning
This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 06 Feb 2026
https://github.com/abhihirekhan/abhi-s-data-science-portfolio
A list of data science projects completed by me for academic, self learning, and creative purposes
datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow
Last synced: 31 Jan 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/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/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/zolabar/interactive-calculus
Interactive Calculus with SymPy and Jupyter Widgets
ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard
Last synced: 15 Apr 2026
https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
Last synced: 13 Apr 2026
https://github.com/elissorokin/data-analyst-portfolio-rus
Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.
ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 25 Feb 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/ayushsaksena30/cosmic-classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer
Last synced: 15 Apr 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/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/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/dipto1971/statistical-analysis-data-science
Statistical Analysis in Data Science
Last synced: 15 Apr 2026
https://github.com/otivedani/hedge_hog
Histogram of Oriented Gradients, full numpy
feature-extraction histogram-of-oriented-gradients hog-features numpy
Last synced: 13 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/hamidhosen42/a-graph-machine-learning
Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.
ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library
Last synced: 09 Feb 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/felixcharotte/housepredictions_tatahousing
Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.
aws flask jupyter linear-regression numpy pandas python
Last synced: 09 Feb 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/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
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/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection — automates daily attendance with real-time computer vision and CSV logging. | see README below , please.
attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam
Last synced: 02 May 2026
https://github.com/rvats20/python-programming-basic
Python programing basic to develop robust python applications.
data-science eda learning learning-by-doing matplotlib-python numpy pandas python
Last synced: 02 May 2026