The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Source code that accompanies The CUDA Handbook.

An easy way to manage your stock information

Hackintosh DeskMini 310 - 黑苹果 - OpenCore - LTS长期支持 - Big Sur

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

A curated list of MXNet examples, tutorials and blogs.

SSE2 Optimized GLSL-like math library

Inference Code for Polygon-RNN++ (CVPR 2018)

DeepLab resnet v2 model in pytorch

pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.

A Library About The Image Features Extraction

《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。

An MXNet implementation of Mask R-CNN

Train AI models efficiently on medical images using any framework

An Open Source Machine Learning Framework for Everyone

TensorFlow Tutorials with YouTube Videos

Scrapy, a fast high-level web crawling & scraping framework for Python.

The OpenGL Extension Wrangler Library

Multiple object ground truth annotation tool using polygons

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Deep Learning (Python, C, C++, Java, Scala, Go)

Deep Learning Tutorial notes and code. See the wiki for more info.

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

a language for fast, portable data-parallel computation

FREAK: Fast Retina Keypoint

C++ implementation of TLD

👀 C++ implementation of TLD