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30u30 is an open-source study guide that takes you through the 30 foundational AI papers recommended by Ilya Sutskever — one paper per day. Each paper comes with a full implementation from scratch, detailed notes, interactive exercises with solutions, and visualizations.

Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI

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Note 1: For Windows, please install torch and torchvision first by following the official instructions here On the pytorch website, be sure to select the right CUDA version you have. If you intend to run on CPU mode only, select CUDA = None.

Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming language.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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............ 06

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：

deep learning for image processing including classification and object-detection etc.

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models.

Ultralytics YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time object detection model.

All yandex dist links went bad, you can download the model from the

The largest collection of PyTorch image encoders / backbones.

Official YOLOv7 is more accurate and faster than YOLOv5 by 120% FPS, than YOLOX by 180% FPS, than Dual-Swin-T by 1200% FPS, than ConvNext by 550% FPS, than SWIN-L by 500% FPS.

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。

Am I missing your favorite model? Is there something that could be cleaner / less confusing? Did I mess something up?

To measure accuracy, download COCO-annotations for Pycocotools to the ./coco/annotations/instancesval2017.json

An open source library for face detection in images. The face detection speed can reach 1000FPS.

A docker image containing the code and the dependencies is available on DockerHub. 03):

inter-ocular NME %, lower is better; CPU latency on an i9-10900K with onnxruntime 1.22 CPU EP, batch 1.

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.

pytorch/examples is a repository showcasing examples of using PyTorch. The goal is to have curated, short, few/no dependencies high quality examples that are substantially different from each other that can be emulated in your existing work.

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

This is a torch implementation of the paper A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.

The neural network is built in three iterations. Starting with a Hello World version, followed by the main neural network layers, and ending by training it to generalize.

g. CPU, GPU, RAM, etc), so it is hard to make an equal comparison. The solution is to measure the performance of all models on hardware with equivalent specifications, but it is very difficult and time consuming.

A curated list of deep learning resources for computer vision

On some tasks, decent results can be obtained fairly quickly and on small datasets. For example, to learn to generate facades (example shown above), we trained on just 400 images for about 2 hours (on a single Pascal Titan X GPU).