jason's repositories
AI-Crash-Course
AI-Crash-Course, published by Packt
ai_quant_trade
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
camel
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
DRLib
DRLib:A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
FinRL
FinRL: Financial Reinforcement Learning. 🔥
FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
FinRL-Tutorials
Tutorials. Please star.
FinRL_Contest
Starter kit and resources for ACM ICAIF 2023 FinRL Contest
KungFu
Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
OpenDevin
🐚 OpenDevin: Code Less, Make More
Python-100-Days
Python - 100天从新手到大师
Python-Core-50-Courses
Python语言基础50课
pythondict-quant
Quant Examples Based on Backtrader.
QUANTAXIS
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RL-Stock
📈 如何用深度强化学习自动炒股
Road2Coding
编程之路
rust-by-practice
Learning Rust By Practice, narrowing the gap between beginner and skilled-dev through challenging examples, exercises and projects.
rust-course
“连续六年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
StockFormer
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
yfinance
Download market data from Yahoo! Finance's API
zpf2617
neural network test