Pinned Repositories
2023-Big-Data-Driven-Artificial-Intelligence
北师大张江人工智能课程
Algorithmic-Pseudocode
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
awesome-causality-algorithms
An index of algorithms for learning causality with data
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
cjqjyy
Config files for my GitHub profile.
cs-self-learning
计算机自学指南
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
HSIC_Lasso_with_optimization
leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
cjqjyy's Repositories
cjqjyy/cjqjyy
Config files for my GitHub profile.
cjqjyy/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
cjqjyy/HSIC_Lasso_with_optimization
cjqjyy/2023-Big-Data-Driven-Artificial-Intelligence
北师大张江人工智能课程
cjqjyy/Algorithmic-Pseudocode
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
cjqjyy/awesome-causality-algorithms
An index of algorithms for learning causality with data
cjqjyy/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
cjqjyy/cs-self-learning
计算机自学指南
cjqjyy/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
cjqjyy/leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
cjqjyy/causality
Tools for causal analysis
cjqjyy/everyone-can-use-english
人人都能用英语
cjqjyy/hello
cjqjyy/HyperSCI
cjqjyy/imageHS
cjqjyy/pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
cjqjyy/python-guide
Python best practices guidebook, written for humans.
cjqjyy/README-cheatsheet
Template for a clear GitHub README (markdown)
cjqjyy/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)