Hongnian Wang's repositories
python-web-face-recognition
python+tornado+pymysql. Building a personal website, realized face registration and login
face-attendance.Pytorch
基于MobileFaceNet的员工刷脸考勤
alphagen
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能
clashx
clashx 配置
CMLF
Contrastive Multi-granularity Learning for Stock Trend Prediction
deep-patient-representation-mimiciii-multitask
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
eICU-GNN-LSTM
This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).
federated-boosted-dp-trees
Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
hongnianwang.github.io
home page
jaime
This repository holds the notebooks used to run the experiments related in the paper outlined below.
Fund
基金推荐与投资记录系统
metaMIMIC
todo
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
quantnet
A PyTorch implementation of QuantNet: Transferring Learning Across Systematic Trading Strategies.
RiPO
RiPO: Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization