| jzbontar/mc-cnn |
595 |
|
0 |
0 |
about 8 years ago |
0 |
|
41 |
bsd-2-clause |
Cuda |
| Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches |
| jbarrow/LambdaNet |
376 |
|
0 |
0 |
about 10 years ago |
0 |
|
5 |
mit |
Haskell |
| Purely functional artificial neural network library implemented in Haskell. |
| perliedman/geojson-path-finder |
260 |
|
4 |
7 |
over 2 years ago |
20 |
August 04, 2023 |
20 |
isc |
TypeScript |
| Find shortest path through a network of GeoJSON |
| danijar/layered |
229 |
|
4 |
0 |
almost 10 years ago |
8 |
December 14, 2015 |
6 |
mit |
Python |
| Clean implementation of feed forward neural networks |
| unixsurfer/anycast_healthchecker |
153 |
|
0 |
0 |
about 2 years ago |
32 |
March 13, 2025 |
5 |
apache-2.0 |
Python |
| A healthchecker for Anycasted services |
| Vadims06/topolograph |
134 |
|
0 |
0 |
about 2 years ago |
0 |
|
6 |
mit |
Smarty |
| Topolograph.com is an online project which can visualize OSPF/ISIS topology based on single OSPF LinkState DataBase scrapping from one network device ( thanks OSPF =). Then you can not only see (and check) the shortest path from source to destination, but also see the outcome from link or node failure along the path to the destination. The existing algorithms depict SPT, backup or even backup of backup paths and print out how many segments along the path are backuped and how many are not. Additionally, if you are planning device maintenance and would like to know how shutdowning some particular device will affect on routing in your topology - just choose this node in Node shutdown Pred and you get your answer: will be topology stay connected or not, how many subnets will become unavailable. |
| amitshaked/resmatch |
77 |
|
0 |
0 |
about 9 years ago |
0 |
|
11 |
bsd-2-clause |
Lua |
| Implementation of "Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning" |
| Nick-Morgan/neural-style-transfer |
38 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Generating Art with Convolutional Neural Networks |
| supermitch/Chinese-Postman |
30 |
|
0 |
0 |
about 3 years ago |
2 |
October 28, 2016 |
2 |
mit |
Python |
| My Python solution to the Chinese-Postman problem. |
| FFrankyy/FINDER |
22 |
|
0 |
0 |
almost 6 years ago |
0 |
|
4 |
mit |
Python |
| FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence) |
