ddianjn

ddianjn's Stars

• adamd1985/Deep-Q-Learning-Applied-to-Algorithmic-Trading

  Deep Q-Learning Applied to Algorithmic Trading

  Language:Jupyter Notebook222

• kernc/backtesting.py

  :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

  Language:Python5.6k1.1k

• quantopian/zipline

  Zipline, a Pythonic Algorithmic Trading Library

  Language:Python17.8k4.7k

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.7k1.8k

• scipy/scipy

  SciPy library main repository

  Language:Python13.2k5.2k

• freedom-introvert/Research-on-Avalon-System-in-Bilibili-Comment-Area

  深挖b站如何控评-对阿瓦隆系统探究

  51428

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original

  Machine Learning for Algorithmic Trading, Second Edition - published by Packt

  Language:Jupyter Notebook1.3k492

• TA-Lib/ta-lib-python

  Python wrapper for TA-Lib (http://ta-lib.org/).

  Language:Cython9.9k1.8k

• twopirllc/pandas-ta

  Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

  Language:Python5.5k1.1k

• pykalman/pykalman

  Kalman Filter, Smoother, and EM Algorithm for Python

  Language:Python1.1k360

• theanh97/Deep-Reinforcement-Learning-with-Stock-Trading

  This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.

  Language:Jupyter Notebook4622

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition

  Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook2k1k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.5k1.7k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.6k4.3k

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML4.2k473

• nautechsystems/nautilus_trader

  A high-performance algorithmic trading platform and event-driven backtester

  Language:Python2.3k518

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.4k8.7k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85k22.9k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.4k25.5k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML11.7k1.2k

• jeffprosise/Applied-Machine-Learning

  Language:Jupyter Notebook14674

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook12.3k1.5k

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k1.7k

• AI4Finance-Foundation/FinRL-Tutorials

  Tutorials. Please star.

  Language:Jupyter Notebook861349

• zhy0313/ea-python

  量化交易策略

  Language:Python763293

• datamonday/Time-Series-Analysis-Tutorial

  时间序列分析教程

  Language:Jupyter Notebook858208

• OpenDocCN/blogspot-wordpress-quant-blogs-zh

  Language:PowerShell31

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook14.4k2k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook35.1k4.3k

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  3.9k334