vvnzhang

Pinned Repositories

afew2016
Facial Expression Recognition in the Wild 2016
Language:Jupyter Notebook0 0 00
audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
Language:Python00
CMU-MultimodalSDK-Tutorials
This is a short tutorial for using the CMU-MultimodalSDK.
Language:Jupyter Notebook00
cs131_notes
Class notes for CS 131.
Language:TeX00
CS131_notes_zh-CN
CS131 斯坦福课程课件中英文版
00
dense_flow
Tools to extract dense optical flow from videos, based on OpenCV
Language:C++00
helloworld
00
Leetcode
00
MEMM
NLP-Maximum-entropy Markov model
Language:Python00
TensorFusionNetwork-CMU_MOSI
Implement TFN on CMU-MOSI.
Language:Python3 1 00

vvnzhang's Repositories

vvnzhang/TensorFusionNetwork-CMU_MOSI
Implement TFN on CMU-MOSI.
Language:Python3 1 00
vvnzhang/afew2016
Facial Expression Recognition in the Wild 2016
Language:Jupyter Notebook0 0 00
vvnzhang/audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
Language:Python00
vvnzhang/CMU-MultimodalSDK-Tutorials
This is a short tutorial for using the CMU-MultimodalSDK.
Language:Jupyter Notebook00
vvnzhang/cs131_notes
Class notes for CS 131.
Language:TeX00
vvnzhang/CS131_notes_zh-CN
CS131 斯坦福课程课件中英文版
00
vvnzhang/dense_flow
Tools to extract dense optical flow from videos, based on OpenCV
Language:C++00
vvnzhang/helloworld
00
vvnzhang/Leetcode
00
vvnzhang/MEMM
NLP-Maximum-entropy Markov model
Language:Python00
vvnzhang/openface
Face recognition with deep neural networks.
vvnzhang/Optical-Flow-Guided-Feature
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
Language:C++1 0
vvnzhang/Optical-Flow-Guided-Feature-Pytorch
Optical Flow Guided Feature for Action Recognition-Pytorch
vvnzhang/tensorflow-model-zoo.torch
InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch
vvnzhang/torchvggish
Pytorch port of Google Research's VGGish model used for extracting audio features.