Jiarui Gao (kittenish)

kittenish

Geek Repo

Company:Google LLC

Location:Kirkland, WA

Home Page:http://jiaruigao.com

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Jiarui Gao's starred repositories

GTR

Global Tracking Transformers, CVPR 2022

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Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

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wireguard-install

WireGuard road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

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CenterNet2

Two-stage CenterNet

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UniDet

Object detection on multiple datasets with an automatically learned unified label space.

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CenterTrack

Simultaneous object detection and tracking using center points.

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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ExtremeNet

Bottom-up Object Detection by Grouping Extreme and Center Points

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StarMap

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

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videogan

Generating Videos with Scene Dynamics. NIPS 2016.

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3DKeypoints-DA

Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency

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pytorch-pose-hg-3d

PyTorch implementation for 3D human pose estimation

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Bubble-game

my implementation of a simple bubble game

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startbootstrap-resume

A Bootstrap 4 resume/CV theme created by Start Bootstrap

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SwiftCasts

Tutorials for Swift

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pose-hg-3d

Code repository for Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

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bihisankey

A d3 javascript library/plugin for drawing bi-directional hierarchical sankey diagrams

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retrofitting

Retrofitting Word Vectors to Semantic Lexicons

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another-tutorial-about-java-web

:crying_cat_face: another tutorial about java web

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C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

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factors-variation

Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun

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