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/thekartikeyamishra/voicecloner
The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
ai indic-transliteration librosa machine-learning numpy nvidia-pyindex nvidia-tacotron2 nvidia-waveglow python torch torchaudio
Last synced: 03 Feb 2026
https://github.com/1-harshit/cs203-probabality-in-cs
Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur
Last synced: 20 May 2026
https://github.com/miladsade96/numpy_and_algebra
Introduction to numpy and linear algebra
algebra linear-algebra matrices numpy tensor vectors
Last synced: 17 May 2026
https://github.com/aramshiva/boids
🦅 Artifical Swarm Intelligence
art boids generative math numpy pygame python swarm
Last synced: 20 May 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/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
Last synced: 13 Apr 2026
https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
Last synced: 02 Jan 2026
https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn
Last synced: 05 Mar 2025
https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 13 May 2025
https://github.com/ankushmallick1100/task-1-the-sparks-foundation-data-science-and-business-analytics-internship
Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
data-science internship-task intership jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 supervised-learning supervised-machine-learning thesparksfoundation thesparksfoundationinternship tsf
Last synced: 09 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/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/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/earth-app/doc2lora
Generate LoRA Adapters from documents
ai cloudflare-ai cloudflare-workers lora numpy py python torch
Last synced: 16 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/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 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/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
Last synced: 02 May 2026
https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
Last synced: 08 Apr 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/davityak03/animal-image-classification-using-cnn
Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.
cnn-classification keras numpy pandas pretrained-models python tensorflow
Last synced: 08 Apr 2026
https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs
Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method
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https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
jupyter-notebook matplotlib nltk numpy pandas python spacy textblob wordcloud
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https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
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https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data data-science data-science-crash-course data-structures data-visualization datascience-machinelearning datasciencecoursera datascienceproject instagram matplotlib numpy pandas telegram tutorials youtube
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https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
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https://github.com/yashodatta15/top-250-anime-2023-eda
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https://github.com/tristan296/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
cv2 numpy paddleocr sqlite3 ultralytics yolov11
Last synced: 04 Apr 2025
https://github.com/sourabh-kumar04/numpy-basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming
Last synced: 10 May 2026
https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow
Last synced: 09 Apr 2026
https://github.com/msthamizh/singapore-resale-flat-prices-predicting
Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.
exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit
Last synced: 09 Apr 2026
https://github.com/udityamerit/curafind-powered-by-ai
CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs
ai machine-learning nlp numpy pandas scikit-learn
Last synced: 18 Sep 2025
https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/pooranjoyb/autoencoder-colorization
Autoencoder for Image Colorization
autoencoder keras-tensorflow machine-learning neural-networks numpy pandas python streamlit tensorflow
Last synced: 09 Apr 2026
https://github.com/arpandatta011/facial_image_recognition
This project includes the introduction of the facial expression recognition and an investigation on the recent previous researches for extracting the effective and efficient method for facial expression recognition.
cv2 keras matplotlib numpy pandas tensorflow
Last synced: 09 Apr 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/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
Last synced: 30 Jul 2025
https://github.com/quantum-software-development/qiskit
qiskit circuits on IBM Quantum
Last synced: 30 Jul 2025
https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 09 Apr 2026
https://github.com/nemeslaszlo/titanic-logistic-regression
This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/blakeziegler/nfl-ai
Sports AI featuring Deep Learning Neural Networks from Scratch with Momentum Optimization
artificial-intelligence-algorithms artificial-neural-networks calculus deep-neural-networks linear-algebra neural-network numpy prediction-model sports statistics
Last synced: 25 Feb 2026
https://github.com/gourab-sinha/machine_learning
This repository consists of Machine Learning Concepts and Projects.
classification machine-learning neural-network numpy pandas sklearn-library
Last synced: 09 Apr 2026
https://github.com/ayaanjawaid/vizualite
Vizualite allows you to upload dataset and clearly view the attributes and allows you to create vizualizations, you can also download dataset.
matplotlib numpy pandas python3 streamlit
Last synced: 09 Apr 2026
https://github.com/docsallover/real-time-object-detection
Real-Time Object Detection with Single Shot MultiBox Detector (SSD)
data-science data-science-projects detection machine-learning numpy opencv python single-shot-detection single-shot-multibox-detector tensorflow
Last synced: 09 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
Last synced: 02 Aug 2025
https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
convection-diffusion finite-difference-method fokker-planck-equation heat-equation jupyter-notebook mathematical-modelling matplotlib matplotlib-animation numpy python3 transport-equation
Last synced: 02 Aug 2025
https://github.com/nelsontanko/face-recogition-system
This is a student face recognition system for attendance taking. Built with Opencv, face_recognition, redis and Flask for the frontend
face-recognition flask numpy opencv python redis
Last synced: 09 Apr 2026
https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3
Last synced: 09 Apr 2026
https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn
Last synced: 02 Aug 2025
https://github.com/docsallover/spam-detection
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn
Last synced: 09 Apr 2026
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
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/willprice/arsenal
Personal arsenal of python utilities
data-science machine-learning numpy pandas personal-tools python
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/hanai/nb_quantopian
量化交易笔记
jupyter numpy pandas python quantitative tiingo
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/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 09 Apr 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/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project 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 , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
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.
math numpy pygame random sys time
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https://github.com/mariamabidi/pinn-based-flow-prediction
This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.
computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn
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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/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/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/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/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/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/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/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/bhavik-jikadara/house-price-prediction
House Price Prediction
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Last synced: 09 Apr 2026
https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
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Last synced: 09 Apr 2026
https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
Last synced: 09 Apr 2026
https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
Last synced: 10 Nov 2025
https://github.com/zazi2002/neuroscience-project-cnn
This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.
cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing
Last synced: 09 May 2026
https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
Last synced: 09 Apr 2026
https://github.com/skywalkersam/ml-101
Machine Learning 101
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/richecr/projetocrowd4city
Repositório para desenvolver as atividades realizadas para o projeto do LSI - Crowd4City
bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
Last synced: 09 Apr 2026
https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.
k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc
Last synced: 09 Apr 2026
https://github.com/nolan-lwin/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 17 Aug 2025
https://github.com/nafisfaysal/minwater_reviews
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Last synced: 10 Apr 2026
https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 10 Apr 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Aug 2025
https://github.com/hamdaniqhmqd/test-deploy-streamlit
dateset machine-learning matplotlib numpy pandas python sklearn-library stremlit
Last synced: 10 Apr 2026
https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow
Last synced: 10 Apr 2026
https://github.com/zensam7/easy_my_ai
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
genetic-algorithm library machine-learning neural-networks numpy q-learning
Last synced: 14 Feb 2026
https://github.com/luizcalaca/deep-learning
Códigos de Machine e Deep Learning
azure colab-notebook colaboratory convolutional-neural-networks deep-learning hog-features-extraction knn-classification neural-network notebooks numpy perceptron python rnn sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
Last synced: 10 Apr 2026