ZhongJie Zeng's starred repositories
awkward-0.x
Manipulate arrays of complex data structures as easily as Numpy.
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
book-ml-sem
《机器学习:软件工程方法与实现》Method and implementation of machine learning software engineering
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
x-deeplearning
An industrial deep learning framework for high-dimension sparse data
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
what-if-tool
Source code/webpage/demos for the What-If Tool
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
PatrickStar
PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.
PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总,方便自己也分享给大家。有些我看过的,就会做简单的解读,没看过的,就先罗列一下,然后之后看了把解读更新上;涉及到搜索/推荐/自然语言处理。
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
pretrained-models
Open Language Pre-trained Model Zoo
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
data-lineage-parent
数据血缘,Hive/Sqoop/HBase/Spark等,发送到kafka后,解析处理使用neo4j生成血缘
data-lineage-parent
解析SQL,获取字段、表级别的血缘关系。转换成血缘模型,在图数据库neo4j上呈现。