WhirlFirst

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/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