Hadi's repositories
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
devops-interview-questions
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic
last-minute-interview
A glimpse of important topics before attending a technical interview
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
automl-resources
A list of resources, papers, and articles on AutoML, Automatic Hyperparameter Tuning, and Neural Architecture Search.
awesome-distributed-systems
A curated list to learn about distributed systems
awesome-gitops
A curated list for awesome GitOps resources
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deeplearning-models
A collection of various deep learning architectures, models, and tips
EffectiveTensorflow
TensorFlow 1.x and 2.x tutorials and best practices.
elasticsearch-formal-models
Formal models of core Elasticsearch algorithms
faas-profiler
An open source tool for testing and profiling FaaS platforms
go-cloud-design-patterns
learn cloud design patterns with go samples.
gotraining
Go Training Class Material :
HadiSinaee-CV
My CV written with ModernCV template.
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
practicalAI
A practical approach to learning machine learning.
rust-ecosystem
Rust wants & tracking for Embark 🦀
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
talent-plan
open source training courses about distributed database and distributed systemes
tensorflow2-deep-reinforcement-learning
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"
wiredtiger
WiredTiger's source tree