ZhongJie Zeng (zengzhongjie)

zengzhongjie

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Company:WiFi万能钥匙

Location:China GuangZhou

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ZhongJie Zeng's starred repositories

estimator

train, evaluate and deploy model using tf-estimator

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awkward

Manipulate JSON-like data with NumPy-like idioms.

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awkward-0.x

Manipulate arrays of complex data structures as easily as Numpy.

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EasyRec

A framework for large scale recommendation algorithms.

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ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1849Issues:0Issues:0

tensorflow2_tutorials_chinese

tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials

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mmdeploy

OpenMMLab Model Deployment Framework

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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.

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featureform

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

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book-ml-sem

《机器学习:软件工程方法与实现》Method and implementation of machine learning software engineering

License:MITStargazers:1Issues:0Issues:0

FM_FTRL

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

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Familia

A Toolkit for Industrial Topic Modeling

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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what-if-tool

Source code/webpage/demos for the What-If Tool

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

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explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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PatrickStar

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

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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

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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。

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d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

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pretrained-models

Open Language Pre-trained Model Zoo

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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

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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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

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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。

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