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gemini icon gemini

Backtesting for sleepless cryptocurrency markets

getopt icon getopt

Simple command-line options handler (C++11)

goctp icon goctp

CTP封装之golang版(支持windows linux x64)

gods icon gods

GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more

greykite icon greykite

A flexible, intuitive and fast forecasting library

gs-quant icon gs-quant

Python toolkit for quantitative finance

harvest icon harvest

Simple and flexible Python framework for algorithmic trading.

haystack icon haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

hcrystalball icon hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

hctsa icon hctsa

Highly comparative time-series analysis

hist icon hist

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

hw01 icon hw01

高性能并行编程与优化 - 第01讲回家作业

hyperbox icon hyperbox

https://hyperbox-doc.readthedocs.io/en/latest/

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hypothesis icon hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

i8-terminal icon i8-terminal

Modern Market Research with the Power of Command-Line

ichor icon ichor

C++20 Microservice Bootstrapping Framework

imodels icon imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

incubator-brpc icon incubator-brpc

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services. "brpc" means "better RPC".

ivy icon ivy

The Unified Machine Learning Framework

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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