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Class materials for a distributed systems lecture series
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
A collection of daily coding challenges designed to help you master idiomatic Go through deliberate, repetitive practice.
Build systems handling concurrency, distributed transactions, and high-throughput ingestion. Learn by doing, not watching tutorials.
open source training courses about distributed database and distributed systems
Apache DataFusion Comet Spark Accelerator
Python Stream Processing. A Faust fork
Site Reliability Engineer Interview Preparation Guide
🌱 1-on-1 questions and resources from my time as a manager.
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automate…
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Cryptocurrency forecasting 📈 training and serving models made automatic
Backstage is an open framework for building developer portals
A kedro-plugin to serve Kedro Pipelines as API
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com/flyteorg/flyte-sdk
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
SQL powered operating system instrumentation, monitoring, and analytics.
😎 A curated list of awesome MLOps tools
Coarse-grained lineage and tracing for machine learning pipelines.
A curated list of Site Reliability and Production Engineering resources.
A guide to smart contract security best practices
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
⟠ A curated list of awesome Solidity resources, libraries, tools and more
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.