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An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711020300017
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
A Light Event-Driven Algorithmic Trading Engine
a light-weighted, integrated trading/backtesting system/platform（综合量化交易回测系统/平台）
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
Awesome LLM compression research papers and tools.
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…
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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
A curated list of resources for Learning with Noisy Labels
List of papers, code and experiments using deep learning for time series forecasting
List of awesome resources for machine learning-based algorithmic trading
Implementation and experiments of graph embedding algorithms.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DomainBed is a suite to test domain generalization algorithms
A curated list of awesome anomaly detection resources
A collection of AWESOME things about domian adaptation
A quickstart and benchmark for pytorch distributed training.
My best practice of training large dataset using PyTorch.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐