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alibi

Algorithms for monitoring and explaining machine learning models

angularjs

angularjs--深度剖析与最佳实践

captum

Model interpretability and understanding for PyTorch

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

es6features

Overview of ECMAScript 6 features

helloworld

interpretdl

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库

kubeflow

Machine Learning Toolkit for Kubernetes

kustomize

Customization of kubernetes YAML configurations

lucid

A collection of infrastructure and tools for research in neural network interpretability.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

paddlenlp

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

searchcoretest

search contact by name or phone-number

seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

tes

test

first i create

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x