#
Starred repositories
The earnings conference call dataset of S&P 500 companies
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
A social networking service scraper in Python
Tutorials and training material for the H2O Machine Learning Platform
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
YakuZeng / kaggle
Forked from apachecn/InterviewKaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Libtrading, an ultra low-latency trading connectivity library for C and C++.
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-201…
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
all the notes, ppts and homework for CS224n
Python implementation of iterative-random-forests
Portfolio analytics for quants, written in Python
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Financial Markets Data Visualization using Matplotlib
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Must-read papers on graph neural networks (GNN)
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading