UestcJay

UestcJay

Geek Repo

Company:CASIA

Location:Beijing

Home Page:https://uestcjay.github.io/

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UestcJay's repositories

TensorFlow2-GAN

tf2 implementations of gan.

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GraphFit

Code for paper "GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation"

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mini-dnn

a vs2017 C++ demo of deep neural networks. It is implemented purely in C++, only depends on Eigen lib.

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cifar10_cifar100_pytorch

Practice on cifar10 and cifar100(Vgg, ResNet, ResNeXt, Mobilenet, Mobilenetv2) ,there will be more.

UCAS_assignment

国科大李保滨老师2020年矩阵分析作业

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3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

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3dface_val

Evaluation code for TII paper "3D Facial Landmarks Detection for Intelligent Video Systems".

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

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curated-list-of-awesome-3D-Morphable-Model-software-and-data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

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DL-Notes-for-Interview

deep learning/ machine learning

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Face_Pytorch

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

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faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

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PatchmatchNet

Official code of PatchmatchNet (CVPR 2021 Oral)

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pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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UestcJay.github.io

Build a Jekyll blog in minutes, without touching the command line.

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