Unreal environments for reinforcement learning

Public release for "Explore until Confident: Efficient Exploration for Embodied Question Answering"

A collection of the existing end-to-end cloud removal model

OpenEQA Embodied Question Answering in the Era of Foundation Models

[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

吴恩达老师的机器学习课程个人笔记

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

吴恩达机器学习课程的讲义，欢迎大家一起学习

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码