kudep's Stars
torvalds/linux
Linux kernel source tree
godotengine/godot
Godot Engine – Multi-platform 2D and 3D game engine
moby/moby
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
atom/atom
:atom: The hackable text editor
bevyengine/bevy
A refreshingly simple data-driven game engine built in Rust
hasura/graphql-engine
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
tiangolo/full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
opencv/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
arwes/arwes
Futuristic Sci-Fi UI Web Framework.
deeppavlov/DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
pudo/dataset
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
flasgger/flasgger
Easy OpenAPI specs and Swagger UI for your Flask API
girafe-ai/ml-course
Open Machine Learning course
yandexdataschool/Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
Maluuba/nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
DanAnastasyev/DeepNLP-Course
Deep NLP Course
pkolt/design_patterns
Паттерны проектирования
danilw/godot-utils-and-other
random code that I made/use for godot
xxtea/xxtea-go
XXTEA encryption algorithm library for Golang.
Sad-Soul-Eater/dotfiles
Dotfiles for zsh and some cli tools
syorami/Autoencoders-Variants
Pytorch implementations of various types of autoencoders
deeppavlov/dp-agent
DeepPavlov Agent
DmitrySerg/otus-public
Открытые материалы моих куров по машинному обучению на OTUS
polyakovin/philosophy
Конспект по курсу «История и философия науки»
frank-ceballos/Model_Design-Selection
Model Design and Selection in Scikit Learn
upgreat-readable/pku
Персональный комплекс участника конкурса ПРО//ЧТЕНИЕ (https://ai.upgreat.one/)
IgnatovFedor/alexa-analytics
Alexa Prize dialogue analysis tool