Pinned Repositories
awesome-deep-vision
A curated list of deep learning resources for computer vision
caffe
Caffe: a fast open framework for deep learning.
caffe-model
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
CMVS-PMVS
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
convert_torch_to_pytorch
Convert torch t7 model to pytorch model and source.
CTMAP
Deep-Image-Analogy
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
DfUSMC
Depth from Uncalibrated Small Motion Clip
dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
extension-ffi
Examples of C extensions for PyTorch
tanxchong's Repositories
tanxchong/tanxchong.github.io
tanxchong/dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
tanxchong/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
tanxchong/awesome-deep-vision
A curated list of deep learning resources for computer vision
tanxchong/Focal-Loss
Reproduction of Focal-loss on caffe
tanxchong/caffe
Caffe: a fast open framework for deep learning.
tanxchong/FAsT-Match
Port of Fast Affine Template Matching algorithm
tanxchong/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
tanxchong/Deep-Image-Analogy
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
tanxchong/DfUSMC
Depth from Uncalibrated Small Motion Clip
tanxchong/caffe-model
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
tanxchong/SpatialTransformerLayer
tanxchong/convert_torch_to_pytorch
Convert torch t7 model to pytorch model and source.
tanxchong/torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
tanxchong/tensorflow-model-zoo.torch
InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch
tanxchong/T-CNN
ImageNet 2015 Object Detection from Video (VID)
tanxchong/vision
Datasets, Transforms and Models specific to Computer Vision
tanxchong/pytorch-deeplab-resnet
DeepLab resnet model in pytorch
tanxchong/extension-ffi
Examples of C extensions for PyTorch
tanxchong/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
tanxchong/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
tanxchong/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tanxchong/PSPNet
Repository of paper https://arxiv.org/abs/1612.01105
tanxchong/CMVS-PMVS
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
tanxchong/tanxchong.github.com
tanxchong/FCNT
tanxchong/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
tanxchong/Lip-Reading
Lip Reading Project
tanxchong/Papers
tanxchong/CTMAP