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Awesome

An open API service indexing awesome lists of open source software.

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.

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set

Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.

keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer

Last synced: 08 Apr 2026

https://github.com/18mahi/tweet-sentiment-analysis

Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.

data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob

Last synced: 30 Apr 2026

https://github.com/isratafrin826/linear-regression-model

Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.

googlecolaboratory numpy pandas sklearn

Last synced: 03 May 2026

https://github.com/nimaabediforud/heart-disease-prediction

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 15 Apr 2026

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 12 Apr 2026

https://github.com/lluispp/hunting_for_exoplanets_with_ai

An AI-powered tool that classifies exoplanets using NASA datasets and provides an interactive web interface for real-time exploration and discovery.

ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web

Last synced: 18 May 2026

https://github.com/ben854719/autonomous-health-monitoring-emergency-response

This app uses Bluetooth to link a worker’s smartphone with a supervisor’s laptop for live health monitoring. PySyft handles secure biometric authentication, while machine learning detects injuries and visualizes them on a dashboard. Agentic AI responds to critical events by triggering emergency protocols and contacting 911 with location data.

agentic-ai bluetooth cryptography cybersecurity error-handling gemini langgraph machine-learning-algorithms matplotlib mcpserver nltk numpy pysyft python pytorch socket tcp tenseal

Last synced: 28 Apr 2026

https://github.com/ahmrina/unetbraintumorseg

UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes

3d-slicer-extension monai numpy python pytorch slicer unet vtk

Last synced: 07 May 2026

https://github.com/alex-s2222/mem_chat_bot

телеграмм бот для создания gif из текста введённого пользователем

cv2 google-api moviepy numpy python python-telegram-bot requests

Last synced: 08 Oct 2025

https://github.com/chandkund/stock-price-prediction-

Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.

data-science linear-regression numpy pandas plotly python sklearn sklearn-model

Last synced: 21 Jan 2026

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 2026

https://github.com/piyushxbhardwaj/credit-card-fraud-detection

In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.

matplotlib numpy pandas python scikit-image seaborn

Last synced: 16 Feb 2026

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/isk-daniar/signal-filter-plt

Signal filter PLT

numpy pillow python

Last synced: 18 Apr 2026

https://github.com/rachakondaganesh/superstore-sales-data-analysis-project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn

Last synced: 02 May 2026

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 18 Feb 2026

https://github.com/ahmedabdalkreem/lung-cancer

It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.

matplotlib numpy pandas python sklearn-library

Last synced: 14 Apr 2026

https://github.com/ellennewerkla/eda_students_performance

EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.

matplotlib numpy pandas python3 seaborn

Last synced: 08 May 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/faisal-khann/ipl-analysis

The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 08 May 2026

https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 14 Apr 2026

https://github.com/bhavnanahar/coral_project

ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.

colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo

Last synced: 14 Apr 2026

https://github.com/amruta33/telecom-churn-case-study

Building a classification model for reducing the churn rate for a telecom company.

logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels

Last synced: 14 Apr 2026

https://github.com/vishalgaud17/stroke

A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.

machine-learning numpy pandas python scikit-learn streamlit

Last synced: 14 Apr 2026

https://github.com/shoaib1522/introduction-to-data-science

Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻

confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization

Last synced: 14 Apr 2026

https://github.com/gurramankit/censusproject_ml_randomforest

The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.

matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/thekartikeyamishra/colorextractor

A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.

kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn

Last synced: 05 May 2026

https://github.com/rscr1/summer_practice_mai_2

Решение всех заданий летней практики

matplotlib numpy pandas python scipy sympy

Last synced: 14 Apr 2026

https://github.com/sabdikay/analysis-of-biodiversity

This project analyzes biodiversity data from the National Parks Service, focusing on species in various park locations. Conducted in Jupyter Notebook, it uses pandas, matplotlib, NumPy, seaborn, and chi2_contingency for analysis and visualization.

data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 14 Apr 2026

https://github.com/paulokarabyna/ml-foundations-day1

🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy terminal-mac tutorial visualization

Last synced: 18 May 2026

https://github.com/chandkund/housing-price-prediction

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics

Last synced: 21 Jan 2026

https://github.com/pedrolustosa/energyforecasting

This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.

artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript

Last synced: 04 Apr 2026

https://github.com/ljadhav25/false-alarm-detection

The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.

flask flask-api logestic-regression numpy pandas pkl pycharm-ide python

Last synced: 19 Jan 2026

https://github.com/akshay-kamath/anomaly_detection

This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.

anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn

Last synced: 19 Jan 2026

https://github.com/allanreda/automated-k-means-clustering-engine

An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.

cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 19 Jan 2026

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Jan 2026

https://github.com/bharath-tars/deeptumor2.0

DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**

css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow

Last synced: 21 Jan 2026

https://github.com/ramchaik/cinebrain

CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.

cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization

Last synced: 19 Jan 2026

https://github.com/lorenzorottigni/ml-breast-cancer

Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 14 Apr 2026

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 19 Jan 2026

https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python

Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.

data-analysis data-visualization numpy pandas python3 sns visualization

Last synced: 03 May 2026

https://github.com/ricardorobledo/paymentcardfrauddetection2025

Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.

imbalanced-learn matplotlib numpy pandas python3 scikit-learn search

Last synced: 14 Apr 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/sultanazhari/game-trend

Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.

matplotlib-pyplot numpy pandas python3 scipy-stats video-game

Last synced: 11 Apr 2026

https://github.com/ricky9667/taiwanoceantrashpredict

A very simple DNN project using Keras.

dnn keras numpy python

Last synced: 14 Apr 2026

https://github.com/ashutosh65000/invisible-cloak

Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.

image-processing numpy opencv-python

Last synced: 19 Apr 2026

https://github.com/jeffson-dsilva/smartphone-price-prediction

Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.

dataanalysis machine-learning matplotlib modelbuilding numpy pandas price-prediction python seaborn smartphone

Last synced: 14 Apr 2026

https://github.com/guybanbo/qr-algorithm

QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix

haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix

Last synced: 19 Jan 2026

https://github.com/umesh-01/python

Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.

ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development

Last synced: 07 Apr 2026

https://github.com/dev-dur/student_exam_analysis

This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.

matplotlib-pyplot numpy pandas python

Last synced: 16 Apr 2026

https://github.com/sayidmushtaq/reportcard

Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼‍🎓👨🏼‍🎓

begginer-project numpy reporting-tool

Last synced: 27 Jan 2026

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 21 Jan 2026

https://github.com/nisch-mhrzn/house_prediction

This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/jsimell/sleepanalysis

A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.

data-analysis matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/petcareai/dba

PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.

api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv

Last synced: 14 Apr 2026

https://github.com/khushi130404/regulexa

Regulexa is a Python project that showcases and compares Ridge, Lasso, and Elastic-Net regularization techniques in machine learning. It includes visualizations and performance insights to help prevent overfitting and improve model generalization.

elastic-net-regression lasso-regression numpy ridge-regression

Last synced: 17 May 2026

https://github.com/polyee99/kaggle-titanic-data-analytics

Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.

data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization

Last synced: 05 Feb 2026

https://github.com/hansalemaos/locate_pixelcolor_cython_multi_auto_compile

Detects colors in images 8 x faster than Numpy / Uses Cython - returns a dict

bot c color colors colour colours cpp cython fast find multiprocessing numpy numpy-array opencv rgb rgba search

Last synced: 24 Feb 2026

https://github.com/rohanrony19/movie-recommendation-system

This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.

data-analysis deep-learning knn-algorithm numpy pandas python recommendation-system

Last synced: 14 Apr 2026

https://github.com/pedrosfaria2/analisetitulosnetflix

Estudo de popularidade dos filmes da Netflix no IMDB.

analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python

Last synced: 14 Apr 2026

https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask

Through the use of Flask and machine learning, I show how to implement the student placement prediction model.

flask machine-learning numpy pandas

Last synced: 14 Apr 2026

https://github.com/hossein-cod/parking-space-detection

Identifying empty spaces in the parking lot with openCV

cv2 jupyter-notebook numpy opencv pickle python

Last synced: 14 Apr 2026

https://github.com/mizcausevic-dev/embedding-drift-graph

Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.

ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search

Last synced: 01 Jun 2026

https://github.com/anish37860/python_party

Python summer party by Interview Master & in partnership with DataCamp

jupyter numpy pandas python

Last synced: 06 May 2026

https://github.com/sralter/potential_talents

Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.

lambdarank learning-to-rank lightgbm matplotlib nlp numpy pandas python pytorch ranknet

Last synced: 09 Apr 2026

https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn

Last synced: 06 May 2026

https://github.com/mjul/scipy-lab

Scientific computation with Python

matplotlib numpy python scipy

Last synced: 04 May 2026

https://github.com/cosmoquester/numpy-neural-net

This is neural network samples implemented with numpy without machine learning libraries.

implementation neural-network numpy

Last synced: 22 Jan 2026

https://github.com/mbarbetti/hello-snakemake

Simple implementation of snakemake to sample and plot data

hello-world matplotlib numpy python snakemake

Last synced: 14 Apr 2026

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/neelays/xor-xnor_neural_network

NumPy neural network to approximate XOR/XNOR

numpy

Last synced: 15 May 2026

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 24 Feb 2026

https://github.com/yulia-momotyuk/dla-data-analysis-practice

This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.

analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau

Last synced: 14 Apr 2026

https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3

The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.

inception-v3 matplotlib numpy pandas python pytorch

Last synced: 14 Apr 2026

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 14 Apr 2026

https://github.com/samir-atra/experiments_and-_improvements

A repository showing the knowledge in some of the machine learning technologies there are.

dcgan-tensorflow numpy tensorflow-tutorials tensorflow2

Last synced: 23 Jan 2026

https://github.com/sun-data/ndoptimize

Numba-accelerated minimization of objective functions.

astropy minimization numba numpy optimization scientific-computing

Last synced: 27 Jan 2026

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: 15 Mar 2026

https://github.com/mlicamele/neural-network

Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.

gradient-descent matrix-computations neural-networks numpy python

Last synced: 12 Apr 2026

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 24 Oct 2025

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