ZhuoL (interestingzhuo)

interestingzhuo

Geek Repo

Company:ICT,CAS

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ZhuoL's repositories

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foodretreival

Ingradient guided graph for food image retrieval

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crawler

根据关键字批量下载论文,知网与sci-hub

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awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

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AwesomeCpp

---AWESOME--- C++学习笔记和常见面试知识点,C++11特性,包括智能指针、四种强制转换、function和bind、移动语义、完美转发、tuple、多态原理、虚表、友元函数、符号重载、函数指针、深浅拷贝、struct内存对齐、volatile以及union\static等各种关键字的用法等等,还新添了其他算法和计算机基础的难点,力求简洁清晰

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faiss

A library for efficient similarity search and clustering of dense vectors.

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FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

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grok-1

Grok open release

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insightface

Face Analysis Project on MXNet

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interestingzhuo

Config files for my GitHub profile.

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MEVA

Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)

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mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

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Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

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preparing_data

Data preparation to use with our deep learning face recognition system

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PyMAF-X

PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

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pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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RingNet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

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Smooth_AP

code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"

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UniversalHumanoidControl

Official Implementation of the Universal Humanoid Controller.

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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