Name: Arseny Kravchenko
Type: User
Bio: ML engineer
Location: Warsaw, Poland
Blog: https://arseny.info/
I am a machine learning engineer mostly focused on deep learning and ML infra problems, co-author of the "Machine Learning System Design with end-to-end examples" book.
Currently working as Staff ML engineer for Instrumental.
Feel free to reach me via [email protected].
Links:
arsenyinfo
awesome
Cherry picked DS educational materials
awesome-system-design
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
better_images_demo
Web demo for better images
capital_gain_pl
ceevee
Python library for various computer vision problems with a focus on easy usage.
cheapi
data-science-blogs
A curated list of data science blogs
deblurganv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
dockerz
emojencode
enlightengan-inference
ONNX Inference library for EnlightenGAN
fitter
Fit data to many distributions
hookandlook
A library helping to gather stats and run checks during training deep learning models with Pytorch
idrnd_face_antispoofing
https://datasouls.com/c/idrnd-antispoof
landmark-kaggle
My code for https://www.kaggle.com/c/landmark-recognition-challenge and https://www.kaggle.com/c/landmark-retrieval-challenge
machine-learning-design-primer
Learn how to design Machine Learning systems and prepare for an interview.
ml_system_design
Machine Learning System Design book
mlcourse_open
Репозиторий открытого курса OpenDataScience по машинному обучению
nim_string_utils
Comparing some string-related utils written in Python and Nim
ods_course_eng
ods_en_blog
plasticc-kaggle
python-speedup-benchmark
qudida
QUick and DIrty Domain Adaptation
recognize-anything-runpod
Code for the Recognize Anything Model (RAM) and Tag2Text Model
restoregan
runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
speech-kaggle
supergluepretrainednetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
