Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)

A library for mechanistic interpretability of GPT-style language models

A library for finding knowledge neurons in pretrained transformer models.

Schedule and Syllabus for Human-Centered Machine learning.

Paper implementations from scratch and machine learning tutorials

keras implement of transformers for humans

Study material (slides, documents, etc.) for the Human Interaction course (Politecnico di Torino, 2022/2023)

💡 Adversarial attacks on explanations and how to defend them

A collection of research materials on explainable AI/ML

This repository is all about papers and tools of Explainable AI

Interesting resources related to XAI (Explainable Artificial Intelligence)

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…

🙈🙉🙊 本项目包括：1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易，右上角助力一波！干就对了，奥利给 ！🚀🚀

A ⚡Magic Mirror⚡ powered by a UWP Hosted Web App 🚀

Official repo for the #tidytuesday project

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

developer-roadmap

Using Docker for Machine Learning Workflows

Fit interpretable models. Explain blackbox machine learning.

Financial Sentiment Analysis with BERT

Machine learning program to identify when a news source may be producing fake news.

Algorithms and whiteboarding interview prep for the WWCSF community

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

Algorithms for explaining machine learning models

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。