iphysresearch/AI_Programs

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iphysresearch/AI_Programs

iphysresearch

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A collection of practical works and exercises for machine learning and deep learning

DataSciComp

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

TOP250movie_douban

TOP250豆瓣电影短评：Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型

Jupyter Notebook

GWData-Bootcamp

Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis

CQT_toolbox_python

Constant-Q Transform Toolbox for Python/MATLAB

S_Dbw_validity_index

S_Dbw validity index

Jupyter Notebook

PhDthesis_html

My PhD Thesis (HTML)

iphysresearch.github.io_Archive

Blog (under construction)

2023gwml4tianqin

Summer School on GW+ML - TianQin

UndergradResearchLab

中国科学院大学太极实验室2024年度“大学生创新实践训练计划”

Docker_cadabra2

Docker image for Cadabra2

iphysresearch

Survey4GWML

A survey on gravitational waves researches using machine learning techniques.

mfcnn4ligo

PSO_python_demo

Demo script (Python) of particle swarm optimization (PSO) partly translated from SDMBIGDAT19 (MATLAB).

Jupyter Notebook

status

📈 Uptime monitor and status page for Upptime, powered by @upptime

GW_parameter_estimation

Parameter estimation for gravitational-wave events with deep learning

effFisher_demo

Effective Fisher Information Matrix (demo)

Python4GW

Jupyter Notebook

megatron-gw

Based on Megatron-LM framework, achieving gravitational wave denoising and parameter estimation with transformer-based model.

VisibleGWevents

Jupyter Notebook

ML_Coursea

Self-taught for Andrew Ng‘s Machine Learning Course

Jupyter Notebook

scrapy4research

A Scrapy project

Jupyter Notebook

advent-of-code-2020

My solutions for the yearly Advent of Code challenge only Python/Numpy.

GWEvents_whitening_demo

A simple Jupiter notebook on data analysis of GW events and whitening.

Jupyter Notebook

O1_visualization

TheGuardian_Scrapy

Scrapy 框架爬取英文新闻站点： https://www.theguardian.com

drawio

My sample architecture diagrams

Math_ML

The fundamental mathematics for machine learning