🌐 Self-Supervised Learning AI Framework | 自监督学习AI框架
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Updated
Apr 1, 2026 - Python
🌐 Self-Supervised Learning AI Framework | 自监督学习AI框架
A small script enable easy training for XGBoost forecasting model on any time series data
DATASET SENTIMEN BAHASA INDONESIA
This project implements a simple Linear Regression model from scratch and compares it to the implementation of scikit-learn, using the California Housing Dataset.
Credit Risk Classification
A machine learning project comparing linear, ridge, and lasso regression models to forecast the US Dollar's opening price using historical data from 2003–2021. Includes full data preprocessing, training, evaluation, and model performance analysis for financial forecasting applications.
Sign language recognition application that provides learning options for the American Sign Language (ASL) while also providing transcription into text and speech. It aims to bridge communication gaps for the Deaf and Hard of Hearing (DHH) community using machine learning, specfically deep learning and computer vision.
This potato disease detection project uses Python and TensorFlow to create an AI that identifies diseases in potato plants from images. It helps farmers monitor crop health, improving yield and reducing losses.
This repository explores machine learning, especially supervised machine learning models in predicting students' scores using Linear Regression through multiple steps, such as data preprocessing, data training and etc.
🌐 Self-Supervised Learning AI Framework | 自监督学习AI框架
Impergrammer is a basic AI Python tool for generating text. It uses Data.txt as a style reference and attempts to rephrase any input text to match the writing style of the logs in that file. Made mostly for fun—don’t rely on it for anything serious.
🔍 Enable real-time ASL recognition and learning with this React and Python application, bridging communication for the Deaf and Hard of Hearing community.
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