Martin Kersner (@martinkersner)

Top repositories

1

py-img-seg-eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
Python
281
star
2

train-CRF-RNN

Train CRF-RNN for Semantic Image Segmentation
Python
199
star
3

train-DeepLab

Train DeepLab for Semantic Image Segmentation
Python
172
star
4

gtop

CPU, GPU and memory viewer utilizing information provided by tegrastats
C++
88
star
5

cs231n

Solved assignments from Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
Python
65
star
6

non-maximum-suppression-cpp

C++
39
star
7

Image-Segmentation-Using-Genetic-Algorithm

Project in class Computational Intelligence Methods
MATLAB
22
star
8

cl-ml

Machine Learning library for Common Lisp
Common Lisp
14
star
9

caltech-pedestrian-detection-benchmark-python-extractor

Python
12
star
10

py-DeconvNet

Python version of DeconvNet: Learning Deconvolution Network for Semantic Segmentation
Python
5
star
11

cl-plot

Plotting library for Common Lisp
Common Lisp
4
star
12

Algorithms-for-Tracking-and-Identifying-People-in-the-Image-by-using-Machine-Learning-Methods

Project created within eClub Summer Camp 2014
Java
4
star
13

Parking-Assistant-Using-Web-Cameras

Master Thesis
C++
4
star
14

numer.ai

Python
3
star
15

maml

Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Python
3
star
16

cl-think-bayes

Examples from Think Bayes book written in Common Lisp
Common Lisp
2
star
17

lisp

Simple Lisp scripts
Common Lisp
1
star
18

dino-ai

JavaScript
1
star
19

Acceleration-Of-2D-Convolution-Using-Integral-Image

Acceleration of 2D convolution using integral image
Python
1
star
20

edgebenchmark_www

JavaScript
1
star
21

vimrc

VIM configuration
Vim Script
1
star
22

seoul-artificial-intelligence-meetup

Jupyter Notebook
1
star
23

Programming-Mistakes-in-Fundamentals-of-Data-Structures-in-C

Programming mistakes which I have found in the book Fundamentals of Data Structures in C (2nd edition) while I was reading it.
1
star