Showing 1-20 of 382 projects
Learn how to design large-scale systems with Python.
Kubernetes is a production-grade container orchestration system for deploying, scaling, and managing containerized applications.
TypeScript adds optional types to JavaScript for large-scale applications.
DeepSeek-V3 is a large-scale MoE language model with 671B parameters, optimized for efficiency and performance.
Robust speech recognition model for multilingual tasks
A curated list of resources for designing scalable, reliable, and performant large-scale systems.
Serverless Framework for building auto-scaling, low-maintenance apps with AWS Lambda and cloud services.
Unified analytics engine for large-scale data processing
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
Learn system design concepts and prepare for interviews
Cloud-native distributed SQL database for modern applications
Android chart library for visualizing data with various chart types
Distributed SQL database for cloud-native apps
PyTorch Lightning simplifies deep learning training and deployment at scale.
Enhance Mac display settings with custom resolutions, brightness control, and virtual screens
Vector database for AI applications
Monorepo platform for optimizing builds and CI with AI agents
Darknet is a fast neural network framework in C/CUDA with YOLOv7 and Scaled-YOLOv4 for real-time object detection.
Serverless functions platform for Kubernetes with auto-scaling and metrics
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