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Roman Smirnov (@roman-smirnov)

roman-smirnov

Stars
31
Global Rank 479,903 (Top 17 %)
Followers 34
Following 54
Registered almost 10 years ago
Most used languages

Jupyter Notebook
33.3 %

Java
26.7 %

Python
13.3 %

C++
13.3 %

HTML
6.7 %

CMake 6.7 %
Location 🇮🇱 Israel
Country Total Rank 1,456
Country Ranking

CMake 15

Jupyter Notebook
73

C++
199

Java
300

HTML
534

Python
1,095

advanced-lane-detection

Demo project showcasing advanced computer vision lane detection techniques, road curvature and offset from center of lane estimation.

Jupyter Notebook

kalman

C++ sensor fusion extended kalman filter implementation with eigen, json, uwebsockets libraries

vehicle-tracking

Demo project showcasing computer vision detection and over time tracking of moving vehicles

Jupyter Notebook

lidar-obstacle-detection

Udacity SFND Lidar Obstacle Detection project. Lidar PCD stream visualization, RANSAC, KDTree, Bboxes, and various other algorithm implementations

InventoryApplication

a demo app for udacity with a sqlite db, content provider, cursor adapter, and cursor laoder

mmn-11-computational-biology

Simulation of an emergency evacuation implemented by way of a stochastic cellular automaton

naive-lane-detection

Demo project showcasing basic (naive) computer vision lane detection techniques (edge detection, Hough transform, etc).

Jupyter Notebook

traffic-sign-classifier

Demo project showcasing deep learning traffic sign recognition and classification with Tensorflow.

Jupyter Notebook

florian-capstone-fix

mmn18_intro_to_algorithms_and_data_structures

CryptoBox

androidtlv

Web application for the Android Academy TLV community. Built with Polymer.

romans-btt-preset

Better touch tool touchbar presets. Mainly for Android Studio, Pycharm, Clion and other Intellij IDEs

AnimalSoundPlayer

a demo app that plays animal sounds from assets

mmn-12-nlp

NLP Hebrew parts of speech classification with NLTK

behavioral-cloning

Demo project showcasing end to end deep learning to control a simulated vehicle around a race track. Implemented with Keras on a Tensorflow backend.

Jupyter Notebook