开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

Implementation of the paper An Intelligent Strategy Decision Method for Collaborative Jamming Based On Hierarchical Multi-Agent Reinforcement Learning, and ways to improve upon the results of the s…

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

A股量化实盘、模拟实盘。本项目基于券商接口，实现小市值策略DEMO在线实盘交易。您可参照本项目轻松实盘您的本地策略 #A股 #量化

油猴脚本：知乎备份剪藏，将你喜欢的回答/文章/想法保存为 markdown / zip / png

DQN for Stock Trading leverages Deep Q-Network (DQN) to develop an intelligent trading agent for stock markets. The project aims to maximize investment returns by training the agent to make optimal…

搞点A股量化交易...自动盯盘打板策略，windows,mac,linux多平台支持。订阅实时行情接口，监测行情变动，自动打板发单。

本项目是为了PKU & BJTU大二学生本研轮转而创，内容包含了对毫米波雷达基础知识的总结、基于IWR1843的原始ADC数据处理、FMCW-MIMO毫米波雷达仿真、基于点云的人体追踪Demo、基于热力图的人体定位demo、手势识别demo和毫米波雷达生命体征检测Demo

贝叶斯神经网络教程代码部分

Code for RADAR doa algorithm with Matlab. including Capon, MUSIC, DML, Propagator Method, IAA, DBF, OMP, ISTA.......

市场情绪周期数据可视化项目、情绪周期图

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

Open Source TOF Lidar

The code about deep-learning based FMCW Radar interference mitigation.

Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Passive radar signal processing library for python

To be the world's best PyTorch project template.

an universal pytorch deep learning experiment codebase

周易选股

stock，股票系统。使用python进行开发。

📈 如何用深度强化学习自动炒股

System for AI Education Resource.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐