Stars
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
MARA: Modern Application Reference Architecture
A complete computer science study plan to become a software engineer.
Various recipes for testing common scenarios with Cypress
Explainable AI with Python, published by Packt
📚 Freely available programming books
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
A collection of research materials on explainable AI/ML
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
This repository is all about papers and tools of Explainable AI
Code for the TCAV ML interpretability project
Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
Interpretability and explainability of data and machine learning models
All about explainable AI, algorithmic fairness and more
system capable of autonomously chasing another vehicle. Tested in CARLA and with RC cars.
The fastai book, published as Jupyter Notebooks
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
A curated list of papers & resources linked to 3D reconstruction from images.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A curated list of awesome self-supervised methods
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Datasets, Transforms and Models specific to Computer Vision
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。