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rayford295's Projects

americans-in-china icon americans-in-china

我的小说《美国人在**》设定在2050年,一个**空前强大的时代背景下。无数渴望探索和学习的美国学生视**为他们的第一选择。他们带着梦想来到这片土地,尽管现实常常充满挑战,但他们的故事却是永恒的记忆,值得我们铭记和传颂。

cv-chest-x-ray icon cv-chest-x-ray

Design and train a deep learning classifier that takes an x-ray image as the input and assigns the input image to one of the four classes: COVID-19 positive, Normal, Lung Opacity, Viral Pneumonia.

dsci560 icon dsci560

About my insights, assignment content and gains in DSCI560.

efficientsam icon efficientsam

we try to use EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything on landuse and remote sensing image

geog458 icon geog458

Advanced Digital Geographies @ UW-Seattle

groundingdino icon groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

heatwave-and-sentiment-study icon heatwave-and-sentiment-study

Heatwave-and-sentiment-study The goal is to build a delay model and explore the changing relationship between heatwave and emotions in various states across the United States. We believe that human emotions have a delay in response to heat. The heat here is 0 and 1, and the mood changes are not binary values. At the same time, the data set contain

k2 icon k2

Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024

leethub icon leethub

Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository

rayford_leetcode-master_practice icon rayford_leetcode-master_practice

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

rayford_v2_code_practice icon rayford_v2_code_practice

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub v2](https://github.com/arunbhardwaj/LeetHub-2.0)

segment-anything icon segment-anything

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.

segment-geospatial icon segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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