Azai's repositories

996Quant

35岁程序员退路之量化投资学习笔记

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GolemQ

PowerToys based QUANTAXIS

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QUANTAXIS

QUANTAXIS 股票/期货/自定义市场 数据/回测/模拟/交易/可视化 纯本地一站式解决方案

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QATradeG

一键部署的期货trade gateway

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Reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

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Article.EikonAPI.Python.PortfolioOptimization

This Jupyter Notebook illustrates investment portfolio optimization in Modern Portfolio Theory.

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Background-Matting

Background Matting: The World is Your Green Screen

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chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

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Deep-Learning-Machine-Learning-Stock

Stock for Deep Learning and Machine Learning

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django-vue3-admin

Django-Vue3-Admin is a comprehensive basic development platform based on the RBAC (Role-Based Access Control) model for permission control, with column-level granularity. It follows a frontend-backend separation architecture, with

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GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

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machine-learning-asset-management

Machine Learning in Asset Management

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mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

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Multitask-Learning

Awesome Multitask Learning Resources

Person_reID_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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qatrader-rs

qatrader 支持单机上万实盘/模拟盘账户的 高性能QATRADER

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quantaxis-rs

rewrite quantaxis in rust / backtest/ trading/

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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wechatpy

WeChat SDK for Python

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chatgpt-web

使用 express 和 vue3 搭建的 ChartGPT 演示网页

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CPM

Easy-to-use CPM for Chinese text generation(基于CPM的中文文本生成)

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EssayKiller_V2

基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化

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prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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qgateway

QuantRS 消息网关

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wecomchan

微信推送服务Server酱的开源替代。通过企业微信向微信推送消息的配置文档、直推函数和可自行搭建的在线服务代码。

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weworkapi_python

official lib of wework api https://work.weixin.qq.com/api/doc

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