Prompt-Engineering-for-Vision-Models-DeepLearningAI

Open Source Computer Vision Library

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

12 Weeks, 24 Lessons, AI for All!

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Image-to-Image Translation in PyTorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Learn OpenCV : C++ and Python Examples

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

A High-Quality Real Time Upscaler for Anime Video

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。