Pinned Repositories
scFoundation
boston_housing
Udacity 机器学习工程师项目1
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
dense_flow
Tools to extract dense optical flow from videos, based on OpenCV
Entropy
just a idea./for ios app
FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
QtDish
QtDish, the first cross-platform application
serverEntropy
work
somde
Algorithm for finding gene spatial pattern based on Gaussian process accelerated by SOM
STEM
A Method for Mapping Single-cell and Spatial Transcriptomics Data with Transfer Learning
WhirlFirst's Repositories
WhirlFirst/STEM
A Method for Mapping Single-cell and Spatial Transcriptomics Data with Transfer Learning
WhirlFirst/somde
Algorithm for finding gene spatial pattern based on Gaussian process accelerated by SOM
WhirlFirst/Entropy
just a idea./for ios app
WhirlFirst/QtDish
QtDish, the first cross-platform application
WhirlFirst/serverEntropy
work
WhirlFirst/boston_housing
Udacity 机器学习工程师项目1
WhirlFirst/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
WhirlFirst/dense_flow
Tools to extract dense optical flow from videos, based on OpenCV
WhirlFirst/FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
WhirlFirst/GeoNet
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
WhirlFirst/models
Models and examples built with TensorFlow
WhirlFirst/monodepth
Unsupervised single image depth prediction with CNNs
WhirlFirst/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
WhirlFirst/QICQ
计网大作业
WhirlFirst/SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
WhirlFirst/shadowsocks-heroku
免费使用 Heroku 部署 shadowsocks
WhirlFirst/single-cell-tutorial
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"
WhirlFirst/sparse-to-dense
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"
WhirlFirst/spatial-cell
Human-in-the-loop spatial data Analysis with lasso
WhirlFirst/three-js-som
A visualization of a 1D/2D/3D self-organizing map neural network learning to fit a 3D dataset. Made with three.js.
WhirlFirst/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
WhirlFirst/WhirlFirst.github.io