r3ady's starred repositories
pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
mind-ar-js
Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
tacotronv2_wavernn_chinese
tacotronV2 + wavernn 实现中文语音合成(Tensorflow + pytorch)
FlashGlitch
(Unity Shader Graph) Rhythmic flashing effect
PoseEstimation-FCN-Pytorch
Resnet-34 with light-weighted decoder for pose estimation. (Pytorch)
react-native-windows
A framework for building native Windows apps with React.
react-native-macos
A framework for building native macOS apps with React.
bilibili-api
哔哩哔哩常用API调用。支持视频、番剧、用户、频道、音频等功能。原仓库地址:https://github.com/MoyuScript/bilibili-api
TextGrapher
Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档,将文档进行关键信息提取,进行结构化,并最终组织成图谱组织形式,形成对文章语义信息的图谱化展示。
minigame-unity-webgl-transform
Wechat Mini Game Unity engine adapter documents.
LAS_Mandarin_PyTorch
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
mandarin-tts
Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
Shift-Net_pytorch
Pytorch implementation of Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
AudioSignalProcessingForML
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"