Bruce Yang FinTech | Founder and President @AI4Finance-Foundation | Creator of FinRobot, FinGPT, FinRL | Research Mentor at Columbia University
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Open-Source Tools for Real World Problem Series
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
my profile repo
FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
An extensible and modular visitor counter with a focus on performance and reliability. Written in Golang. README for more details. DEPRECATED: vbr.wocr.tk
Visitors badge running on Azure Functions
This repository includes data manipulation techniques to handle real life data problem
Live Trading. Please star.
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
This repository includes python scripts to practice Leetcode Algorithms
python scripts for preprocess the AWS SageMaker data
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀