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hyang428's Projects

3dmatch-toolbox icon 3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dmm-1 icon 3dmm-1

3D Morphable Model software (https://www.cs.cmu.edu/~efros/courses/AP06/Papers/Blanz-siggraph-99.pdf)

caffe icon caffe

Caffe: a fast open framework for deep learning.

cntk icon cntk

Computational Network Toolkit (CNTK)

cs228-notes icon cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cuda_voxelizer icon cuda_voxelizer

Experimental CUDA voxelizer, to convert polygon meshes to annotated voxel grids.

deconvnet icon deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

deep3d icon deep3d

Automatic 2D-to-3D Video Conversion with CNNs

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

featuredetection icon featuredetection

A library (and demo applications) for face- and facial feature detection and real-time tracking in 2d-images

ferplus icon ferplus

This is the FER+ new label annotations for the Emotion FER dataset.

hinton-coursera icon hinton-coursera

Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

libfacedetection icon libfacedetection

A binary library for face detection in images. You can use it free of charge with any purpose.

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