gengshan-y/scRNA-seq-classification gengshan-y/scRNA-seq-classification

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 7 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
gengshan-y/scRNA-seq-classification
github

gengshan-y

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

scRNA sequence classification by a 3-layer-MLP. Weighted samples and sigmoid cross entropy loss were used.

More Repositories

1

high-res-stereo

Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
Python
377
star
2

rigidmask

Code for "Learning to Segment Rigid Motions from Two Frames". CVPR 2021.
Python
164
star
3

expansion

Upgrading Optical Flow to 3D Scene Flow through Optical Expansion, CVPR 2020 (Oral).
Jupyter Notebook
154
star
4

VCN

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
Jupyter Notebook
147
star
5

viser

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021.
Python
63
star
6

monodepth-uncertainty

Inferring distributions over depth from a single image, IROS 2019
Python
39
star
7

rac

RAC: Reconstructing Animatable Categories from Videos. CVPR 2023
Python
29
star
8

headTracking

Code for detection-based head tracking.
C++
12
star
9

cv-gpu-py

python wrapper for opencv gpu pyramid-lk-flow and tv-l1-flow
C++
11
star
10

dyn_pose

Dynamic pose estimation in MXNet. faster-rcnn detection + cpm pose estimation + LSTM dynamical modeling
Jupyter Notebook
5
star
11

kitti-lidar-utils

C++
2
star
12

handProj

Faster-rcnn detection, HOG+SVM tracking and CPM pose estimation. code based on caffe.
C++
1
star
13

trainSVM

Train an OpenCV-based hog-svm classifier for images.
C++
1
star
14

handShape

hand shape feature extraction from million-hands model
Jupyter Notebook
1
star
15

caption-eval-general

evaluation of captions for general input
Jupyter Notebook
1
star