ddyak's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ClickHouse/ClickHouse
ClickHouse® is a real-time analytics DBMS
amix/vimrc
The ultimate Vim configuration (vimrc)
google/flatbuffers
FlatBuffers: Memory Efficient Serialization Library
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
slundberg/shap
A game theoretic approach to explain the output of any machine learning model.
ttroy50/cmake-examples
Useful CMake Examples
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
munificent/craftinginterpreters
Repository for the book "Crafting Interpreters"
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
zhm-real/PathPlanning
Common used path planning algorithms with animations.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
tlbootcamp/tlroadmap
Тимлид – это ❄️, потому что в каждой компании он уникален и неповторим.
salmer/CppDeveloperRoadmap
The roadmap for learning the C++ programming language for beginners and experienced devs.
yandexdataschool/Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
vector-of-bool/pitchfork
Pitchfork is a Set of C++ Project Conventions
catboost/tutorials
CatBoost tutorials repository
ros-visualization/rviz
ROS 3D Robot Visualizer
startupdeals/startupdeals
A awesome collection of all available startup deals with terms, conditions and the deal source
iml-wg/HEP-ML-Resources
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
efiminem/supershad
Решения вступительных заданий в Школу анализа данных (ШАД)
Toloka/crowd-kit
Control the quality of your labeled data with the Python tools you already know.
yandexdataschool/sdc_course
Short course about self-driving cars
lyeoni/pytorch-mnist-VAE
yandexdataschool/mlhep2020-assignments
nataxo/url-query-comparison
PetrGarm/FAVAR
This implementation is inspired by the seminal work of Ben S. Bernanke, Jean Boivin, and Piotr Eliasz in their influential article, "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach", published in the Quarterly Journal of Economics in 2005.
yandexdataschool/MLHEP-2020-muon-id
Muon identification chellenge for MLHEP-2020
VitalyVorobyev/decay-gen
Toy Monte-Carlo generator of particle decays featuring simulation of track helix and photon cluster.