Deep and conventional community detection related papers, implementations, datasets, and tools.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Python script to calculate the Fog Index of a text document.

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

量化研究-券商金工研报复现

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

The official Python library for the OpenAI API

Must-read papers on graph neural networks (GNN)

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

pytorch implemention of trajGRU.

Python Nowcasting

Jupyter notebooks on time series econometrics topics.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

This repository contains necessary code for the paper "Stock Ranking Prediction Using List-Wise Approach and Node Embedding Technique". The paper was published in IEEE Access (https://ieeexplore.ie…

Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model

Attributing predictions made by the Inception network using the Integrated Gradients method

Integrated gradients attribution method implemented in PyTorch

🚂💨 Deep Momentum Networks for Time Series Strategies

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Get volume profile and value areas of previous day from bybit API (default: 'BTCUSD', 1min

Details on how to get Binance public data

Goal: Predicting posts with hyperlinks that will cause conflict among Reddit communities.

A curated list of community detection research papers with implementations.

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字…

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

alpha-RNN