kmkolasinski/receptivefield kmkolasinski/receptivefield

  • Stars
    star
    14
  • Rank 1,394,643 (Top 29 %)
  • Language
    Jupyter Notebook
  • License
    GNU General Publi...
  • Created over 6 years ago
  • Updated over 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
kmkolasinski/receptivefield
github

kmkolasinski

Reviews

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

Repository Details

Gradient based receptive field estimation for Convolutional Neural Networks

More Repositories

1

AwesomeBump

AwesomeBump is a free program written using Qt library designed to generate normal, height, specular or ambient occlusion textures from a single image. Since the image processing is done in 99% on GPU the program runs very fast and all the parameters can be changed in real time. AB was made to be a new alternative to known gimp plugin called Insane Bump.
C++
1,635
star
2

deep-learning-notes

Experiments with Deep Learning
Jupyter Notebook
1,341
star
3

clever-camera

A simple monitoring camera web server which uses deep learning model (classification) to filter or group camera events.
CSS
21
star
4

fast-bfmatcher

Jupyter Notebook
7
star
5

superpoint-video-stitcher

Jupyter Notebook
7
star
6

tensorflow-nanoGPT

Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving
Jupyter Notebook
4
star
7

fast-ivf

Jupyter Notebook
3
star
8

keras_detection

Jupyter Notebook
2
star
9

bubel-viewer

A simple 3D visualization tool for tight binding models
C++
1
star