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1. Cryptocurrency-Trading-Strategy-Using-LSTM-for-Predicting-Profitable-Periods Cryptocurrency-Trading-Strategy-Using-LSTM-for-Predicting-Profitable-Periods Public

   We are attempting to use LSTM models that handle time-series data to predict the periods when the strategy will be profitable or non profitable. By determining when to activate or deactivate the st…

   Jupyter Notebook 3

2. GPT-Auto-Fine-Tuning-Line-Bot GPT-Auto-Fine-Tuning-Line-Bot Public

   Fine-tuning GPT models can be quite challenging for the average user, requiring time to understand various concepts and some coding. The GPT Auto Fine-Tuning Line Bot simplifies this process by all…

   Python 1

3. Addressing-Adversarial-Attacks-on-Computer-Images-Using-APE-GAN-and-Diffusion-Model Addressing-Adversarial-Attacks-on-Computer-Images-Using-APE-GAN-and-Diffusion-Model Public

   In this project, we used Deepfool and FGSM to perform adversarial attacks on the MNIST dataset, reducing image recognition accuracy to 2% and 22%, respectively. Then, we used APE-GAN and the U-net …

   Jupyter Notebook 2

4. Using-Multimodal-Model-AI-to-Develop-Stock-Trading-Strategy Using-Multimodal-Model-AI-to-Develop-Stock-Trading-Strategy Public

   The project integrates sentiment and technical analysis using GNN, focusing on top 60 Taiwanese companies to predict stock movements. Data sources include news, stock charts, and macroeconomic indi…

   Jupyter Notebook 5

5. TraderJohn-Database TraderJohn-Database Public

   This project is a Telegram bot that allows users to upload data files (CSV or JSON), convert them to MySQL or MongoDB databases, and query the databases. The bot provides sample queries and allows …

   Python 1

6. FiNN-AI FiNN-AI Public

   This project implements an AI-powered financial news analysis system that collects and processes financial news, social media data, and financial terms to provide intelligent responses to user quer…

   Python 1