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Yingfan Tao's Projects

2021_algorithm_intern_information icon 2021_algorithm_intern_information

CV 算法工程师技术栈笔记，包含深度学习基础、计算机视觉知识笔记、算法岗面试题答案和 CV 岗面经，以及校招可投递公司信息表。

face.evolve icon face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

ice icon ice

Implementation for ICCV 2021 paper "ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification"

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

insightface-v2 icon insightface-v2

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

interview icon interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

llmga icon llmga

This project is the official implementation of 'LLMGA: Multimodal Large Language Model based Generation Assistant'

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

ncl icon ncl

[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

opencv icon opencv

Open Source Computer Vision Library

pcl icon pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

tade-agnosticlt icon tade-agnosticlt

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

tface icon tface

A trusty face recognition research platform developed by Tencent Youtu Lab

tsne-3d icon tsne-3d

A simple example to demonstrate how to display 3D visualization of high-dimensional vectors using TSNE

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