Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

Mathematica 14.1 Keygen

This repo is the bundled opensource toolkit for book `Navigate through the Factor Zoo: The Science of Factor Investing`.

TuShare is a utility for crawling historical data of China stocks

An open source python library for automated feature engineering

Python wrapper for TA-Lib (http://ta-lib.org/).

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

量化研究-券商金工研报复现

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

Portfolio optimization and back-testing.

An open-source cross-platform alternative to AirDrop

Implementation of the proposed minGRU in Pytorch

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

A Library for Advanced Deep Time Series Models.

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

How to utilize transformer in quantitative financial trading? Here we provide a new model named QuantFormer (Q and F should be capitalized) based on transformer.

Talk to any ArXiv paper using ChatGPT

A framework for training and evaluating deep learning models in Quantitative trading domain

Scalable and user friendly neural 🧠 forecasting algorithms.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Deep learning PyTorch library for time series forecasting

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Probabilistic time series modeling in Python

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.

OpenFE: automated feature generation with expert-level performance

Lean Mojo programming language via small interactive exercises. WIP

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai