Krzysztof Kolasinski (@kmkolasinski)
github

kmkolasinski

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  • Stars
    star
    3,033
  • Global Rank 9,394 (Top 0.4 %)
  • Followers 212
  • Following 1
  • Registered over 9 years ago
  • Most used languages
    Jupyter Notebook
         70.0 %
    C++
         20.0 %
    CSS
         10.0 %
  • Location 🇵🇱 Poland
  • Country Total Rank 109
  • Country Ranking
    Jupyter Notebook
         2
    C++
         7
    CSS
         65

Top 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++
1,620
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

receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks
Jupyter Notebook
14
star
5

fast-bfmatcher

Jupyter Notebook
7
star
6

superpoint-video-stitcher

Jupyter Notebook
7
star
7

tensorflow-nanoGPT

Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving
Jupyter Notebook
4
star
8

fast-ivf

Jupyter Notebook
3
star
9

keras_detection

Jupyter Notebook
2
star
10

bubel-viewer

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