Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻

🖥️ Explore algorithms implemented in Python, showcasing various techniques for learning, testing, and improving coding skills. Join us and contribute!

Wetlands flooding extent and trends using SATellite data and Machine Learning v2.0

Collection of google colaboratory notebooks for fast and easy experiments

ML algorithms

This project builds a **Neural Network–based classifier** that learns patterns from historical data and predicts the signal quality class.

Exploratory Data Analysis (EDA) on a water quality dataset to assess safe vs unsafe drinking water samples. Includes data cleaning, statistical analysis, visualizations (histograms, boxplots, heatmaps), outlier detection, and correlation study using Python (Pandas, NumPy, Seaborn, Matplotlib, SciPy) in Google Colab.

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

Python package to apply the Safety Checker from Stable Diffusion.

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

A Super Enhanced Telegram bot which can download torrents, mega, google drive links, telegram file, direct links and all yt-dlp sites, upload to google drive, telegram cloud, rclone clouds or ddl servers. Made with Pyrogram in Python by KPSML-X Devs.

Professional PyTorch CLI learning tool with 24 comprehensive lessons - From tensor basics to ExecutorTorch deployment with interactive examples

IoT-based Air Quality Monitoring System with Linear and Random Forest Regression. Interactive Streamlit dashboard provides real-time sensor analysis, predictions, and air quality ratings for environmental monitoring.

🎓 NYCU 陽明交大課程爬蟲 - Python 選課工具，支援 110-1~114-1 學期 66K+ 課程資料。功能：課程搜尋、衝堂檢測、統計分析、JSON API、Google Colab、多執行緒批次處理。開源 Apache-2.0 授權，歡迎交大陽明學生貢獻！Contact: hctsai@linux.com

A deep learning project for classifying oral cancer images. The name "UMLomo" is derived from the term for "oral" in some languages, reflecting the project's focus. This repository contains a deep learning model to aid in the early detection and diagnosis of oral cancer from images.

Real-time Vehicle Detection using YOLOv5 — trained on the Vehicles OpenImages dataset for Cars, Trucks, Buses, Motorcycles, and Ambulances. Developed as part of the **Master’s in MIS/ML program at the University of Arizona**.

🌐 Tradutor automático de artigos técnicos usando Azure Cognitive Services - Translator API v3.0 | Projeto DIO

A Python web application that provides a YouTube video streaming proxy with a built-in web player. Designed to work seamlessly in Google Colab environments while also supporting local development and deployment.

🛡️ Text Anonymizer using NuNER Zero-shot An academic project that auto-detects & masks sensitive entities (names, orgs, locations) in .txt/.docx files using Zero-shot NER. Features CLI & REST API. Replaces data with realistic fakes (Faker) or [REDACTED]. Built with Python, Flask, GLiNER.

Machine learning experiments on student performance prediction. Inspired by tibeb (wisdom) in Amharic, this project explores regression models to understand how study factors influence exam scores.