Phoebe (shimamura33)

shimamura33

Geek Repo

0

followers

0

following

0

stars

Location:Shanghai, China

Github PK Tool:Github PK Tool

Phoebe's starred repositories

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

Language:JavaScriptLicense:MITStargazers:47135Issues:1154Issues:199

pumpkin-book

《机器学习》(西瓜书)公式详解

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

chatgpt-google-extension

This project is deprecated. Check my new project ChatHub:

Language:TypeScriptLicense:GPL-3.0Stargazers:13256Issues:113Issues:316

TelegramGroup

2024最新悄咪咪收集的5000+个Telegram群合集,附带全网最有趣最好用的机器人BOT🤖

tsfresh

Automatic extraction of relevant features from time series:

Language:Jupyter NotebookLicense:MITStargazers:8160Issues:168Issues:526

awesome-quant

**的Quant相关资源索引

document.ai

基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)

Language:PythonLicense:AGPL-3.0Stargazers:3581Issues:43Issues:31

An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Language:Jupyter NotebookStargazers:2303Issues:69Issues:3

Interactive_Tools

Interactive Tools for Machine Learning, Deep Learning and Math

CheatSheets

Just a place to store cheatsheets

Evolutionary-Algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Language:PythonLicense:MITStargazers:1181Issues:65Issues:16

ai_quant_trade

股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1043Issues:36Issues:5

fin-ml

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

Language:Jupyter NotebookStargazers:737Issues:33Issues:13

quant-notes

Quantitative Interview Preparation Guide, updated version here ==>

Language:Jupyter NotebookStargazers:681Issues:23Issues:0

VisualHFT

VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.

Language:C#License:Apache-2.0Stargazers:675Issues:33Issues:14

Basic-Mathematics-for-Machine-Learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:576Issues:30Issues:1

SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

Language:JuliaLicense:Apache-2.0Stargazers:548Issues:14Issues:116

PaddleTS

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

Language:PythonLicense:Apache-2.0Stargazers:455Issues:20Issues:157

the-economist-war-fire-model

Source code and data for The Economist's Ukraine war-fire model

Language:RLicense:MITStargazers:209Issues:11Issues:6

llm-gpt4all

Plugin for LLM adding support for the GPT4All collection of models

Language:PythonLicense:Apache-2.0Stargazers:189Issues:4Issues:28

abstract-paxos

A consensus that unifies paxos, raft, 2pc, etc.

Language:RustLicense:Apache-2.0Stargazers:141Issues:9Issues:2

introduction-to-algorithms

📚 Introduction to Algorithms

Stargazers:109Issues:0Issues:0

Lithography-Simulation

Github repository to share some insights about lithography simulation.

Language:Jupyter NotebookLicense:MITStargazers:82Issues:6Issues:0

IntroductionToAlgebraicEvaluation

A collection of essays and code on algebraic methods to evaluate noisy judges on unlabeled test data.

Language:MathematicaLicense:CC0-1.0Stargazers:34Issues:3Issues:0

public

My notebooks open to the public

Language:Jupyter NotebookLicense:MITStargazers:20Issues:2Issues:0
Language:HTMLStargazers:10Issues:0Issues:0
Language:Jupyter NotebookStargazers:6Issues:0Issues:0