Mikhail Antonenka's starred repositories
Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
yolov4-deepsort-helmet-detection
helmet(hard hat) detection with yolov4
leetcode-cli
A cli tool to enjoy leetcode!
HighRes-net
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.
openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
MobileStyleGAN.pytorch
An official implementation of MobileStyleGAN in PyTorch
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
jpdaf_tracking
A tracker based on joint probabilistic data association filtering.
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
BasicGNNTracking
This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.
class-tracker
Implementation of multi-tracker Extended Kalman Filter, developed for the EU project CLASS (G.A. 780622)
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
CppPatterns-Patterns
A repository of modern C++ patterns curated by the community.