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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
machine-learning numpy pandas predictive-analytics scikit-learn
Last synced: 04 May 2026
https://github.com/msadeqsirjani/cinemetrics
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm
Last synced: 06 Apr 2026
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
Last synced: 30 Apr 2025
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
dataanalysis jupyter maplotlib numpy pandas python r
Last synced: 29 Aug 2025
https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
Last synced: 09 Apr 2026
https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
data numpy scientific-computing
Last synced: 14 May 2026
https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy
Last synced: 16 Feb 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 2026
https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots
Last synced: 09 Apr 2026
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
Last synced: 11 Apr 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 16 Oct 2025
https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp
Last synced: 02 Mar 2026
https://github.com/sun-data/named-arrays
Python library that implements named tensors with Astropy Quantity support.
astropy named-arrays named-tensor numpy python scientific-computing
Last synced: 28 Oct 2025
https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 21 May 2026
https://github.com/shriram-vibhute/realestateforecast-price-prediction-system
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 07 Apr 2025
https://github.com/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/msthamizh/industrial-copper-modeling
Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).
exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit
Last synced: 07 Apr 2026
https://github.com/salma-mamdoh/python
My journey in Learning Python
database hakerrank-solutions jupyter-notebook kaggle matplotlib numpy oops-in-python pandas problem-solving python seaborn sqlite
Last synced: 02 Apr 2026
https://github.com/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/xenia101/local-outlier-factor
Deriving the Local Outlier Factor Score
algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library
Last synced: 09 Apr 2026
https://github.com/ashkarin/ndpatch
Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.
array data-structures deep-neural-networks image-processing numpy patches region-of-interest
Last synced: 19 May 2026
https://github.com/prajwalchapke055/sih-1505---smart-india-hackathon-2023
Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).
bootstrap css d3-visualization emergency-response environmental-impact-studies environmental-protection html industrial-safety insurance-assessment javascript mathworks numpy php postgresql preventive-maintenance python regulatory-compliance technology-stack urban-planning
Last synced: 11 Apr 2026
https://github.com/rhazra-003/flight_delay_predictor
A ML model to predict Flight Delays
azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
Last synced: 03 May 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/intelpython/mkl_umath
Package implementing NumPy's UFuncs based on SVML and MKL VML
Last synced: 22 Jun 2025
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/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 08 Apr 2026
https://github.com/letiziaia/dsp_2021
Basic Python code snippets for data science students
data-science numpy pandas python
Last synced: 09 May 2026
https://github.com/weisscharlesj/SciCompChem_Experimental
Scientific Computing for Chemists Jupyter Book
book chemistry jupyter jupyter-lab matplot nmrglue numpy pandas python scikit-image scikit-learn scipy seaborn textbook
Last synced: 07 Nov 2025
https://github.com/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml
Last synced: 07 Mar 2026
https://github.com/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 09 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/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/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/dkealvaro/mnist
Achieved 75% accuracy in the MNIST dataset using a simple cosine similarity approach under 50 lines of code, with no training
cosine-similarity machine-learning mnist numpy
Last synced: 18 May 2026
https://github.com/mchenryspagg/outlier-detection-in-election-data
This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.
geographic geographical-information-system geospatial-analysis geospatial-data latitude-and-longitude matplotlib-pyplot numpy outlier-detection pandas python seaborn
Last synced: 20 Jan 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/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
Last synced: 22 Oct 2025
https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
machine-learning matplotlib numpy pandas python streamlit
Last synced: 08 Apr 2026
https://github.com/wauro21/smcc
SMCC (SMC_core) allows for direct communication and control of the Serial-Motor-Controller project via Python-code.
api desktop-app numpy pyinstaller pyside2-gui python stepper-motor stepper-motor-control
Last synced: 02 Jul 2026
https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
classifier cnn fashion keras mnist numpy pandas tensorflow
Last synced: 08 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/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 11 Apr 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/saif-gitreps/car-price-prediction-model
ML model that predicts car price based on different car features. (in dev..)
data-preprocessing data-visualization matplotlib numpy pandas python seaborn
Last synced: 01 Apr 2025
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/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/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/hanai/nb_quantopian
量化交易笔记
jupyter numpy pandas python quantitative tiingo
Last synced: 09 Apr 2026
https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨
colab computer-vision data-extraction data-visualization document-processing image-analysis image-processing machine-learning matplotlib numpy ocr opencv pandas persian-ocr persian-text python table-detection table-extraction tesseract text-recognition
Last synced: 08 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/rabbicse/face-app
A Face recognition system using TensorFlow.js for in-browser image processing and backend services powered by PyTorch, Qdrant, RetinaFace, ArcFace, and OpenCV for detection, embedding, and similarity matching. This setup ensures efficient, secure, and accurate facial recognition.
arcface deep-neural-networks docker docker-compose face-detection face-recognition machine-learning nextjs numpy opencv python pytorch react retinaface tensorflowjs typescript typescript-react
Last synced: 10 Apr 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/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
Last synced: 08 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/javierkaiser9/rgbd-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: 31 Dec 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/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/tabotcharlesbessong/recommendationframeworks
learning deep learning and machine learnint
matplotlib numpy os pandas pillow python3 pytorch
Last synced: 08 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/artikumari28/movie-recommender-system
This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.
google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 06 Apr 2026
https://github.com/ksalekk/ecg-monitor
ecg matplotlib numpy python scipy signal-processing
Last synced: 03 Feb 2026
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/idow09/ud810-problem-sets
Solutions to the problem sets of Introduction to Computer Vision course at Udacity
computer-vision numpy opencv opencv-python problem-sets python solutions udacity
Last synced: 09 May 2026
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
Last synced: 08 May 2026
https://github.com/trishaamandal/instareach
final-year-project github machine-learning model numpy prediction project
Last synced: 08 May 2026
https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
Last synced: 09 May 2026
https://github.com/khaledkamr/mastring-python
This repository covers essential Python programming topics, including basics, OOP, file handling, and database operations. It also contains mini-projects to help solidify your understanding through practical application.
database filehandling functions if-elif-else introduction-to-python list-methods loops numpy oops-in-python python recursion set-methods sqlite3 string-methods tuple-methods
Last synced: 08 May 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
Last synced: 09 May 2026
https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
Last synced: 09 May 2026
https://github.com/arshitarora/image-overlaying-prespective
Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮
image numpy opencv python swap
Last synced: 09 May 2026
https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
Last synced: 14 May 2026
https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
Last synced: 10 May 2026
https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
Last synced: 10 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/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
artificial-intelligence artificial-neural-networks computer-science computer-vision deep-learning machine-intelligence machine-learning machine-learning-algorithms machinelearning neural-network numpy numpy-tutorial python tensorflow tensorflow-tutorials tutorial tutorial-exercises
Last synced: 08 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/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
data-analysis data-science numpy pandas python utilities-python
Last synced: 08 May 2026
https://github.com/andrii-zapukhlyi/image_classifier_from_scratch
Image classifier from scratch using NumPy + CNN + Transfer Learning
cnn deep-learning image-classification machine-learning neural-networks numpy transfer-learning
Last synced: 16 Jun 2026
https://github.com/arjunravi26/image-editor
A dajngo based image manipulation webiste
django jsonresponse numpy opencv pillow
Last synced: 17 Jun 2026
https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 08 May 2026
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
Last synced: 10 May 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/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
bike-sharing bike-sharing-demand deep-learning kaggle neural-network numpy udacity-deep-learning
Last synced: 18 Jun 2026
https://github.com/platonn/comp-photography
Computational Photography course - University of Wroclaw
computational-photography image-processing numpy university-course
Last synced: 19 Jun 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026