Human-in-the-loop spatial data Analysis with lasso

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

A visualization of a 1D/2D/3D self-organizing map neural network learning to fit a 3D dataset. Made with three.js.

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

A technical report on convolution arithmetic in the context of deep learning

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Models and examples built with TensorFlow

Unsupervised single image depth prediction with CNNs

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

Tools to extract dense optical flow from videos, based on OpenCV

免费使用 Heroku 部署 shadowsocks

Caffe code to accompany my Tutorial on Variational Autoencoders