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jason's repositories

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

Apache-2.0000

StockFormer

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

000

OpenDevin

🐚 OpenDevin: Code Less, Make More

MIT000

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

000

rust-by-practice

Learning Rust By Practice, narrowing the gap between beginner and skilled-dev through challenging examples, exercises and projects.

CC-BY-4.0000

Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

MIT000

KungFu

Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.

Apache-2.0000

yfinance

Download market data from Yahoo! Finance's API

Apache-2.0000

FinRL

FinRL: Financial Reinforcement Learning. 🔥

MIT000

FinRL-Meta

FinRL-Meta: Dynamic datasets and market environments for FinRL.

MIT000

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

MIT000

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

GPL-2.0000

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

Apache-2.0000

pythondict-quant

Quant Examples Based on Backtrader.

000

FinRL_Contest

Starter kit and resources for ACM ICAIF 2023 FinRL Contest

000

FinRL-Tutorials

Tutorials. Please star.

MIT000

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

NOASSERTION000

DRLib

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

MIT000

stock_market

000

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

MIT000