《Designing Data-Intensive Application》DDIA中文翻译

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Python Stream Processing

FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.

High-Performance Symbolic Regression in Python and Julia

Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Python Stream Processing. A Faust fork

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

A library for event sourcing in Python.

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

RayLLM - LLMs on Ray

Scalable Python DS & ML, in an API compatible & lightning fast way.

Docker-based utility for testing network failures and partitions in distributed applications

Bagua Speeds up PyTorch

Kubernetes-native Deep Learning Framework

Pyro 4.x - Python remote objects

A library for replicating your python class between multiple servers, based on raft protocol

🗄️ Solutions to Database System Concepts Seventh Edition