Highlights
- Pro
Stars
Research on Tabular Deep Learning: Papers & Packages
Neural Networks: Zero to Hero
TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.
Genetic Programming in Python, with a scikit-learn inspired API
Student-facing repo (Spring 2023)
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
vCard is a fully responsive personal portfolio website, responsive for all devices.
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Python implementation of the R stargazer multiple regression model creation tool
A framework for financial systemic risk valuation and analysis.
Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)
Calculate U.S. equity (portfolio) characteristics
Up-to-date simple useragent faker with real world database
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
Jhy1993 / GNN4NLP-Papers
Forked from IndexFziQ/GNN4NLP-PapersA list of recent papers about Graph Neural Network methods applied in NLP areas.
Implementation of NAACL2021 accepted paper: "Multi-source Neural Topic Modeling in Multi-view Embedding Spaces"
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An Open-Source Package for Knowledge Embedding (KE)
Code for stock movement prediction from tweets and historical stock prices.
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning eve…
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
Algorithms for detecting changes from a data stream.