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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/muhozgu/bi_image_classifier
Binary image classifier (dogs vs cats) using a convolutional neural network (CNN)
cnn computer-vision data-analysis data-analytics data-science data-visualization deep-learning keras machine-learning matplotlib numpy pandas pyhton pytorch seaborn tensorflow torchvision
Last synced: 07 Apr 2026
https://github.com/tynab/lottery
Xổ số kiến thiết
crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan
Last synced: 03 Aug 2025
https://github.com/hanai/nb_quantopian
量化交易笔记
jupyter numpy pandas python quantitative tiingo
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn
Explore the implementation of CNN with a color image dataset (Project 1)
cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2
Last synced: 07 Apr 2026
https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
Last synced: 09 Apr 2026
https://github.com/kr1shnasomani/traffisense
A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.
computer-vision deep-learning neural-network numpy opencv pypi pytorch
Last synced: 12 Apr 2025
https://github.com/kientech/crop-recommendation-with-machine-learning
The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.
fastapi machine-learning modeling numpy pandas python reactjs sklean
Last synced: 22 Mar 2025
https://github.com/willprice/arsenal
Personal arsenal of python utilities
data-science machine-learning numpy pandas personal-tools python
Last synced: 09 Apr 2026
https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
Last synced: 09 Apr 2026
https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
Last synced: 16 Feb 2026
https://github.com/epsoft/image-augmentation
Image Augmentation
conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow
Last synced: 06 Apr 2026
https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
computed-tomography ct-reconstruction numpy
Last synced: 09 Aug 2025
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 15 May 2026
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/abhilash1910/deepgenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn
Last synced: 19 May 2026
https://github.com/nikorasu/snakeai
WIP project to use machine learning to play Snake!
ai deep-learning dqn educational machine-learning ml neural-network numpy pytorch q-learning reinforcement-learning snake-game supervised-learning supervised-machine-learning terminal
Last synced: 09 Apr 2026
https://github.com/kr1shnasomani/treetracer
Detection of trees from aerial image using detectron2
computer-vision deep-learning detectron2 neural-network numpy opencv pypi pytorch
Last synced: 05 Mar 2025
https://github.com/supriya811106/healthcare-recommedation-system
A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.
css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn
Last synced: 04 Mar 2026
https://github.com/vmariiechko/python-image-processing
Raster graphics editor
desktop image-processing numpy opencv python
Last synced: 28 Apr 2026
https://github.com/syedaanif/ds-ml-pyhton
This repo contains learnings about Data Science and Machine Learning using Python
artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/ewertondrigues02/dados-do-covid-19
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3
Last synced: 02 May 2026
https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
classification image-processing machine-learning matplotlib numpy pillow python segmentation
Last synced: 18 May 2026
https://github.com/anas436/data-visualization-with-python
jupyterlab matplotlib matplotlib-pyplot numpy pandas python3
Last synced: 09 Sep 2025
https://github.com/sidsurakanti/mnist-classification
realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy
classification math ml mnist numpy
Last synced: 14 May 2026
https://github.com/drill-n-bass/data-analysis-projects
Projects related to my Data Analyst path.
analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics
Last synced: 07 Apr 2026
https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 24 Feb 2025
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/eljandoubi/landmark-classification-tagging-for-social-media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
cnn-classification numpy pytest pytorch transfer-learning
Last synced: 07 May 2026
https://github.com/abdullokhonz/python_lessons
Python lessons are here.
abramyan codewars eel flappy-bird gtts instaloader instasaver leetcode lessons numpy os pygame pyowm python python3 random telebot tkinter turtle
Last synced: 15 May 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/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 02 Jan 2026
https://github.com/zaaim-halim/image-processing
an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL
contour-detection corner-detection edge-detection filters image-processing numpy python3
Last synced: 20 May 2026
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Last synced: 20 Jan 2026
https://github.com/virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy
Last synced: 06 Jan 2026
https://github.com/hedriss10/projetc-cardio
"Analise de dados sobre saúde"
jupyter-notebook matplotlib numpy pandas python
Last synced: 20 May 2026
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 19 Apr 2026
https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
beautifulsoup matplotlib numpy pandas python3 selenium-python
Last synced: 06 Apr 2026
https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
Last synced: 14 Apr 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/lostvikx/fintech-pg
Files related to my FinTech course
analytics data-analysis data-science data-visualization finance fundamental-analysis numpy pandas python technical-analysis
Last synced: 14 Apr 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/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/mrbrain295/prime-finder
pip install prime-finder-mammillaria for installation
Last synced: 28 Apr 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/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent
Last synced: 28 Apr 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/patilni3/python_data_analysis
Important Tools and its Functions
excel matplotlib numpy pandas seaborn
Last synced: 28 Apr 2026
https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/prabath1998/rice_leaf_disease_ditection_system
This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease
flask joblib numpy opencv pillow sklearn
Last synced: 15 Apr 2026
https://github.com/datarohit/date-fruit-classification
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
classification logisticregression numpy pandas python3 standard-scaler
Last synced: 13 Apr 2026
https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
cox-regression dask data-science machine-learning numpy pytensor statistics survival-analysis
Last synced: 15 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/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/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/abhinavsharma07/neural-network-using_numpy
Introduction to Neural Networks (Create a neural network using Numpy)
accuracy feed-forward model neural-networks numpy prediction
Last synced: 18 Jan 2026
https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
Last synced: 20 Apr 2026
https://github.com/chandadiya2004/mnist-digit-classification
This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.
confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow
Last synced: 12 Feb 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/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/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/simranjeet97/machine-learning
How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!
algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow
Last synced: 16 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/4thel00z/numpy-serializer
numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.
bytes deserialization deserialize deserializer msgpack numpy raw serialize serializer serializers
Last synced: 27 Jan 2026
https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows
Last synced: 22 Jan 2026
https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india
This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.
matplotlib numpy pandas powerbi python seborn
Last synced: 04 May 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/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/bestmahdi2/uni__dataminningstackoverflowproject
A university project related to data mining lesson on StackOverflow website data with Python language
cart csv data-mining logistic-regression matplotlib mlp naive-bayes nltk numpy pandas python scikit-learn scipy seaborn stackoverflow svc textblob tqdm xgboost
Last synced: 16 Feb 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/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/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/lexxai/goit_python_ds_hw_08
Модуль 8. Глибоке навчання. Tensorflow.
classification data-science matplotlib minst numpy pandas python sklearn tensorflow
Last synced: 14 Apr 2026
https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
ipython jupyter matplotlib numpy
Last synced: 18 Jan 2026
https://github.com/texnoforge/texnomagic
TexnoMagic library for digital Magic
gmm magic numpy python recognition scikit-learn scipy
Last synced: 03 Mar 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/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/nemeslaszlo/loan-data-decision-tree-and-random-forest
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
decesion-trees matplotlib numpy pandas random-forest seaborn sklearn
Last synced: 17 Apr 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/parneet-sandhu/virtual-try-on
This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.
computer-vision mediapipe numpy opencv python tkinter
Last synced: 19 Jan 2026
https://github.com/asit-14/python-programming
This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.
matplotlib modules numpy pandas python tkinter
Last synced: 03 May 2026
https://github.com/datarohit/churn-prediction-for-bank
This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.
churn-prediction classification matplotlib-pyplot numpy pandas seaborn sklearn
Last synced: 17 Apr 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/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
Last synced: 02 May 2026
https://github.com/sun-data/ndfilters
Numba-accelerated, n-dimensional image filters.
filters image-processing n-dimensional numba numpy scientific-computing scipy
Last synced: 06 Mar 2026
https://github.com/heisenberg141/probability-based-boundary-detection
This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.
boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps
Last synced: 04 May 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 06 Mar 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/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/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
artificial-intelligence data-science digit-recognizer machine-learning neural-network numpy pandas python
Last synced: 05 May 2026
https://github.com/kamakshi4023/brain-tumour-detection
ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow
Last synced: 03 Jan 2026
https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
Last synced: 24 Oct 2025