The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
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The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🎨 The exhaustive Pattern Matching library for TypeScript, with smart type inference.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Build LLM-powered applications in Ruby
AI-ready reference architecture for Angular / ASP.NET Core projects. A hardened foundation with secure authentication, authorization, role and user management, and consistent patterns designed to be safely extended by AI tools. Stop letting AI hallucinate your auth and DB logic - give it a production-grade foundation to build on.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold)
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Ruby wrapper for the Qdrant vector search database API
Ruby wrapper for the Weaviate vector search database API
Ruby wrapper for the Milvus vector search database API
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.