CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to Instru…

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

TWAP excecution Algorithm

Pretty good call graphs for dynamic languages

从新浪财经、每经网、金融界、中国证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测

在A股(股票)市场上训练强化学习交易智能体

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

An algorithm that intelligently executes a crypto order over time via Coinbase

Graph Convolutional Networks for Text Classification. AAAI 2019

Hedging unsing Deep Reinforcement Learning and Deep Learning

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.

This is for the capstone project "Optimal Execution of a VWAP order".

Machine Learning Algorithms For VWAP Prediction

code for Syntax-Directed Variational Autoencoder that generates programs and molecues

Graph Convolutional Networks (GCNs)