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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 organized to help you easily find relevant case studies based on industry or specific ML use cases.

TranslatedUpdated November 2026: a summary of Docker mirror sources currently usable in China, a list of DockerHub mirror accelerators in China, 🚀DockerHub image accelerator

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise

  • solutions-architect
  • solutions-engineering
  • enterprise-architecture
  • enterprise-software

This repository contains the OpenTelemetry Astronomy Shop, a microservice-based distributed system intended to illustrate the implementation of OpenTelemetry in a near real-world environment.

  • jaeger
  • opentelemetry
  • opentelemetry-collector
  • opentelemetry-dotnet