Dong Ming's starred repositories
FinStockDash
📈 A streamlit web app for retrieving and analyzing financial data for a stock ticker.
quivr
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
streamlit-agent
Reference implementations of several LangChain agents as Streamlit apps
open-webui
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
chatbot-ui
AI chat for every model.
FinanceToolkit
Transparent and Efficient Financial Analysis
OpenAI-Stock-Market-Chat-Bot
Python Streamlit web app with an SQLite user login/authentication system. Application allows users to select multiple stocks, metrics, and visualizations. A Langchain pandas agent utilizing GPT-4 and customized stock-market/financial prompts is then initiated allowing the user to intelligently interact with their specified data.
GPT-InvestAR
Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
chatgpt-journal
Your journal/diary + ChatGPT = Chat Journal
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ReactNativeStockProject
A mobile app built in 3 days to demonstrate stock market information and Cryptocurrency market information
Advanced-React
Starter Files and Solutions for Full Stack Advanced React and GraphQL
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.