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audio-driven-talkingface-headpose

Code for "Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose"

autoface

毕设，根据照片生成一个3D人脸模型

clashpro

Clash for Windows & Mac 自用稳定分流规则、参考配置

crema-d

Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

datav

Vue数据可视化组件库（类似阿里DataV，大屏数据展示），提供SVG的边框及装饰、图表、水位图、飞线图等组件，简单易用，长期更新(React版已发布)

emotalkingface

The code for the paper "Speech Driven Talking Face Generation from a Single Image and an Emotion Condition"

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gesture-recognition

TensorFlow、CNN 利用卷积神经网络实时识别手势动作(有界面窗口）

gnr

Implementation of "Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis"

go-proxy-bingai

用 Vue3 和 Go 搭建的微软 New Bing 演示站点，拥有一致的 UI 体验，支持 ChatGPT 提示词，国内可用。

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

mppe

人体、面部、手部关键点识别，动作识别

opencvforandroid

目标检测&目标追踪&人脸检测&人脸识别

paddlebobo

基于飞桨开发的虚拟主播

point-clouds-visualization

visualization点云可视化(open3D, mayavi，rivz2(ros2)等)

pythonproject

sharedparking

the new

sharingpark

the item of our team-tah

smart_classroom

课堂专注度及考试作弊系统、课堂动态点名。情绪识别、表情识别、姿态识别和人脸识别结合

tai-chi-posture-recognition-system

基于OpenPose的太极拳姿态识别系统

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

the-key-

tinyrenderer

A brief computer graphics / rendering course

wav2lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

wav2lip_song

根据已有的wav2lip框架来制作唱歌嘴型同步

weapp_demos

持续更新中的微信小程序和小游戏的源码案例库。目前涵盖了120多个微信小程序或小游戏。

yyt

study

zs-nmt-dae

Official implementation of EMNLP 2021 Paper "Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables"