Pinned Repositories
caffe
Caffe
compare
compare embedding
CS162
Study notes for online course UCB CS162
demos
Demos and tutorials around Torch7.
eht-imaging
Imaging, analysis, and simulation software for radio interferometry
faster-rnnlm
Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax
gensim
Topic Modelling for Humans
ImageSegmentation
Perform image segmentation and background removal in javascript using canvas element, computer vision superpixel algorithms
kitti_player
ROS publisher for Kitti dataset
thuthesis
LaTeX Thesis Template for Tsinghua University
watanabetouru's Repositories
watanabetouru/thuthesis
LaTeX Thesis Template for Tsinghua University
watanabetouru/caffe
Caffe
watanabetouru/compare
compare embedding
watanabetouru/CS162
Study notes for online course UCB CS162
watanabetouru/demos
Demos and tutorials around Torch7.
watanabetouru/eht-imaging
Imaging, analysis, and simulation software for radio interferometry
watanabetouru/faster-rnnlm
Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax
watanabetouru/gensim
Topic Modelling for Humans
watanabetouru/ImageSegmentation
Perform image segmentation and background removal in javascript using canvas element, computer vision superpixel algorithms
watanabetouru/kitti_player
ROS publisher for Kitti dataset
watanabetouru/nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
watanabetouru/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
watanabetouru/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
watanabetouru/rnnlm-0.4b
Recurrent Neural Network Language Models
watanabetouru/SoftRas
Official project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
watanabetouru/torchRimless
Torch to the rimless universe.
watanabetouru/waifu2x-caffe
waifu2xのCaffe版
watanabetouru/word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.