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Portfolio optimization and back-testing.

Python 990 257 Updated Nov 8, 2024

基于Python的开源量化交易平台开发框架

Python 25,735 8,816 Updated Oct 17, 2024

A new markup-based typesetting system that is powerful and easy to learn.

Rust 34,860 928 Updated Nov 7, 2024
Python 68 26 Updated Jun 28, 2024

For trading. Please star.

Jupyter Notebook 2,114 744 Updated Jul 1, 2024

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …

Jupyter Notebook 595 136 Updated Nov 6, 2024
Jupyter Notebook 7 2 Updated May 20, 2024

Forecasting with LLMs

HTML 22 9 Updated Jun 17, 2024

A package for uncovering comovements and clusters of financial time series with transfer entropy.

Python 8 3 Updated Mar 10, 2019

Research repo for the RL team.

Jupyter Notebook 4 5 Updated Dec 12, 2021

Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models

Python 8 1 Updated Aug 20, 2024

Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

Jupyter Notebook 153 26 Updated Jan 10, 2024
Python 10 3 Updated Oct 30, 2024

Financial Sentiment Analysis with BERT

Jupyter Notebook 1,450 418 Updated Sep 9, 2022

Official Implementation of SimStock : Representation Model for Stock Similarities

Jupyter Notebook 69 13 Updated Jun 17, 2024

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection…

Python 153 31 Updated Oct 2, 2024

AntroPy: entropy and complexity of (EEG) time-series in Python

Python 300 52 Updated Aug 4, 2023

Calculate predictive causality between time series using information-theoretic techniques

Python 89 28 Updated Jul 13, 2021

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Python 2,158 247 Updated Jul 17, 2024

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Python 839 145 Updated Oct 24, 2024

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Jupyter Notebook 26,795 7,881 Updated Jun 25, 2024

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Jupyter Notebook 900 415 Updated Jan 26, 2023
Python 15 3 Updated Jul 6, 2022

This repository contains an ulta-fast Python implementation of the Triangulated Maximally filtered Graph (TMFG).

Python 6 4 Updated Feb 15, 2024

Network Analysis in Python

Python 14,934 3,251 Updated Nov 7, 2024

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

Python 1,087 185 Updated Oct 24, 2024
Python 7 2 Updated Jun 24, 2022

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

Python 126 17 Updated Jul 27, 2024

Hyperbolic Structural Entropy for Graph Clustering

Python 13 2 Updated May 2, 2024

TGN: Temporal Graph Networks

Python 1 Updated Jan 12, 2023
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