bartkowiaktomasz
Machine Learning Engineer at QuantumBlack, McKinsey&Company
@quantumblackLondon, United Kingdom
bartkowiaktomasz's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ossu/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
thedaviddias/Front-End-Checklist
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
charlax/professional-programming
A collection of learning resources for curious software engineers
kamranahmedse/design-patterns-for-humans
An ultra-simplified explanation to design patterns
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
DovAmir/awesome-design-patterns
A curated list of software and architecture related design patterns.
google/styleguide
Style guides for Google-originated open-source projects
satwikkansal/wtfpython
What the f*ck Python? 😱
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
simple-icons/simple-icons
SVG icons for popular brands
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
imthenachoman/How-To-Secure-A-Linux-Server
An evolving how-to guide for securing a Linux server.
andkret/Cookbook
The Data Engineering Cookbook
dastergon/awesome-sre
A curated list of Site Reliability and Production Engineering resources.
theanalyst/awesome-distributed-systems
A curated list to learn about distributed systems
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Tikam02/DevOps-Guide
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
MrMimic/data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
MorganGeek/bookmarks
:warning: Mirrored from https://gitea.zoemp.be/sansguidon/bookmarks ! :bookmark: +5K awesome resources for geeks and software crafters :beer:
mckinsey/qbstyles
QuantumBlack Matplotlib styles
moof2k/kerasify
Small library for running Keras models from a C++ application