funkyungjz Goto Github PK

mlfinlab_research_bryce

multi-factor-gm-wind-joinquant

基于掘金+万得+聚宽的多因子策略开发框架

multi-horizon-forecasting-for-limit-order-books

multiple_factors_models

Selecting single stock in China stock market

nolitsa

A Python module implementing some standard algorithms used in nonlinear time series analysis

nonanlibrary

This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnonan@

notes-for-advances-in-financial-machine-learning

nyu-mlif-notes

:book: NYU 金融机器学习 中文笔记

okcoin-leeks-reaper

OKCoin韭菜收割机

online-recurrent-extreme-learning-machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

onlinelearning

Online Learning of LSTM

onlinelearningtorank

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

ppo_stock

prob140-textbook-zh

:book: [译] 面向数据科学的概率论

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

pyedm_maizuru

pyEDMを使った生態学時系列データの因果推定

python-gpiozero

A simple interface to GPIO devices with Raspberry Pi

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

quant-learning

:books: Quant 教程整理

quant-primary-math

quant-report

quant_python

Config files for my GitHub profile.

quant_strategy

Quant_Strategy

quantitative-trading

量化投资

quantsplaybook

量化研究-券商金工研报复现

rctorch

a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning

reference

为开发人员分享快速参考备忘清单(速查表)

reinforcement-learning-for-market-making

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

researchgpt

An open-source LLM based research assistant that allows you to have a conversation with a research paper