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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/lebrancconvas/data-playground
Data Science and Analysis Playground.
data-analysis data-science jupyter-notebook numpy pandas python python3 seaborn statistics
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https://github.com/swimshahriar/machine-learning
This repository contains the machine learning models that I have worked on during learning "Machine Learning".
Last synced: 16 Apr 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
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https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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https://github.com/texnoforge/texnomagic
TexnoMagic library for digital Magic
gmm magic numpy python recognition scikit-learn scipy
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https://github.com/korolev2512/compliance-audit
Program for optimizing a set of activities based on network planning and management methods
copy matplotlib networkx numpy openpyxl os pandas python3 tkinter
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https://github.com/suraj-sedai/finance_graph-personalized-analytics
Finance management app to track transactions, analyze spending, and visualize data.
api data-visualization database django finance-management jwt-authentication machine-learning mathplotlib numpy pandas react responsive-design restful-api
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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
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https://github.com/bestmahdi2/uni__geneticprogrammingfunctionapproximation
In this university project, genetic programming is used to approximate the function
function-approximation genetic-algorithm genetic-programming matplotlib numpy python tqdm
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https://github.com/asadullah-imran/student-performance-data-analysis
This is a very simple exploratory data analysis of Student Performance in a class. data is taken from Kaggle.
datanalysis matplotlib numpy pandas python seaborn
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https://github.com/bsc-dom/npp2nvm
NumPy Persistence to Non-Volatile Memory
numpy nvm persistent-data-structure pmdk
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https://github.com/gauravsakure02/project_titanic_eda
This Project includes Exploratory Data Analysis of the Titanic Dataset
eda numpy pandas-dataframe sklearn-library
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https://github.com/erenokur/machine-learning-playground
Experiment with machine learning and AI algorithms, write guides, and documents.
hidden-markov-model machine-learning numpy python pytorch sckit-learn tensorflow
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https://github.com/sun-data/ndfilters
Numba-accelerated, n-dimensional image filters.
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https://github.com/mattia-hulathduwage/image-dehazing-tool
An image dehazing tool built with Python, OpenCV, and NumPy to enhance visual clarity in hazy images, featuring real-time processing and a user-friendly interface for saving dehazed results.
Last synced: 17 Apr 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
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https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
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https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
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https://github.com/uni-creator/handwritten_number_recognition_system
A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.
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https://github.com/juwono136/indonesia-negative-comment-lstm
Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)
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https://github.com/harmim/vut-sui-homework
Umělá inteligence a strojové učení - Domácí úloha
artificial-intelligence classification gaussian-distribution logistic-regression machine-learning matplotlib numpy nuralnetwork python scipy sui torch vut vut-fit
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
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https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
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https://github.com/hanzopgp/neuralnetworkfromscratch
This is a multi-layer perceptron build from scratch using numpy and python.
artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal
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https://github.com/psp515/Studies-DifferentalEquations
Differental Equations course on AGH UST 22/23.
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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
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https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
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https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
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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)
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https://github.com/lynk4/your-first-machine-learning-model-in-python
Create your first machine learning model in python...........
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https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
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https://github.com/assamirzafar/learning
My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.
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https://github.com/khaymanii/heart-disease-prediction-model
This repository contains a model built using python and Logistic Regression algorithm
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https://github.com/rhazra-003/fake_news_detector
A Machine Learning model to detect fake news with more than 95% accuracy
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https://github.com/aryansk/human-counting-system
HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.
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https://github.com/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
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https://github.com/faisalahmed21/cse330-numerical-methods
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https://github.com/abideen-olawuwo/image-classification
Multi Class Image Classification Problem
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Last synced: 19 Apr 2026
https://github.com/dwarkadhish2005/weather-predictor
Built a model based on collected data which takes various parameters and predicts the weather
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https://github.com/ilovenooodles/image-compression
Tugas Besar 2 Aljabar Linear dan Geometri
image-compression numpy python svd-matrix-factorisation
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https://github.com/sultanazhari/credit-scoring
A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.
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https://github.com/sspathak/eye-mouse
Control your PC's mouse by just looking at the screen!
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https://github.com/brenofariasdasilva/worked-example-miner
Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
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Last synced: 20 Apr 2026
https://github.com/fabrizio-ottati/misha
Simple and fast decoding of event cameras data to NumPy
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https://github.com/tar3q-az1z/python-learning
Contains python codes.
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https://github.com/nikorasu/cellularautomata
Nik's Cellular Automata Projects
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https://github.com/charmve/numpycnn
Building Convolutional Neural Networks From Scratch using NumPy
cnn computer-vision deep-learning deep-learning-tutorial machine-learning numpy project python tutotrial
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https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
dnn neural-network numpy python3
Last synced: 22 Apr 2026
https://github.com/redinfinitypro/laser-strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
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https://github.com/n1colasf/bigdata-cert
Clases y Practicos del Certificado de Big Data de la carrera Analista en Tecnologías de la Información de la Universidad ORT Uruguay
big-data certificate jupyter-notebook numpy pandas python sklearn tensorflow university-course
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https://github.com/amir78729/numpy-system-solution-detector
Linear Algebra course - First Project
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https://github.com/akash-rajak/video-cropper
Script to crop video according user's size and dimension.
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https://github.com/prakharrr/skewangledetection
A function that returns correction angle of a skewed quadrilateral inside an image.
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https://github.com/iusztinpaul/ibm-assets-recommendation-engine
Deployable recommendation system for predicting the fittest IBM articles for a given user.
ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation
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https://github.com/sentustudio/cookiecutter-ciencia-datos
Template para proyectos de ciencia de datos e ingeniería de datos
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https://github.com/corentin-mzr/pmi
Project Master IPSA : Modeling the transport of a chemical species in a fluid
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https://github.com/haukzero/decisiontree-strat-from-scratch
依据西瓜书从零开始手写决策树分类器,只使用 pandas, numpy, graphviz 三个扩展包,其中 graphviz 用于将生成的树可视化
decision-tree-classifier machine-learning numpy python start-from-scratch
Last synced: 27 Apr 2026
https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
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Last synced: 28 Apr 2026
https://github.com/ikaushikpal/ml_prerequisite
In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo
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Last synced: 28 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.
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Last synced: 28 Apr 2026
https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn
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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/patilni3/python_data_analysis
Important Tools and its Functions
excel matplotlib numpy pandas seaborn
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https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language
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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/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
Last synced: 28 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/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
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https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
jupyter-notebook numpy pandas python
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https://github.com/tynoee/movies-data-anlysis
This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.
jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
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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
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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
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/vvipjain/employee-analysis
Employee Data Analysis
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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
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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.😛
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https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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https://github.com/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
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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
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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
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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/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/cchandre/gc2d
Guiding-center dynamics in plasma physics
hamiltonian numpy plasma-physics pyhamsys scipy symplectic-integrator
Last synced: 01 May 2026
https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
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Last synced: 01 May 2026
https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
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/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
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Last synced: 02 May 2026
https://github.com/iv4n-ga6l/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
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Last synced: 02 May 2026
https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
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Last synced: 02 May 2026
https://github.com/pratishtha-abrol/principlecomponentanalysis
Principle Component Analysis with Numpy and Python
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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/realtristan/micronet
Neural network library from scratch
neural-networks numpy python pytorch
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