Stars
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Repository for "FreDF: Learning to Forecast in the Transformed Domain"
A Library for Advanced Deep Time Series Models.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
The official repository of paper "ViTime: A Visual Intelligence-based Foundation Model for Time Series Forecasting"
Unified Training of Universal Time Series Forecasting Transformers
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction
DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financ…
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
tracking papers, datasets, and models of "large language model (LLM) for time series"
Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659
Democratizing Internet-scale financial data.
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
时间序列预测项目，采用不同的深度学习、机器学习算法，进行时间序列预测。包含不同预测算法与预测场景
基于Flask框架进行前后端交互、存储采用Neo4j图数据库。功能包括金融股票、股东、概念详细信息查询，以及多轮对话问答机制。
自建的模拟服务器：主要用于后台运行股票预测模型，目前主要实现当客户端发送请求时将股票模型运行的结果返回给APP端（即预测第二天股票的开高低收的涨跌趋势并返回给客户端和自动判断股票买卖时机的功能）
This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!