Showing 141-160 of 382 projects
A fast, easy-to-use and extensible toolkit for large-scale AI model development.
A JavaScript library to make text fit perfectly on any screen size.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Open-source graph database optimized for dynamic analytics and streaming data environments.
Undertow is a high-performance, non-blocking web server written in Java, suitable for serving large-scale web apps.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
High-level guidelines for writing maintainable, scalable CSS for large-scale projects.
MAGI-1 is a powerful autoregressive model for generating high-quality video at scale, built for vibe coders who work with AI tools.
A fast, open-source graph database built using GraphBLAS for use in large-scale knowledge graph applications.
A distributed deep learning platform for building and deploying AI models at scale.
A toolkit for orchestrating distributed systems at any scale with primitives for node discovery, consensus, and scheduling.
A powerful PHP-based web scraping tool for extracting data at scale, suitable for vibe coders working with AI tools.
Flexible, high-performance rate-limiting tools for Node.js applications, supporting multiple databases and caching solutions.
A high-performance distributed training framework for Reinforcement Learning in Python
A large-scale vision-language model for video understanding and generation.
A powerful graph embedding library for generating node embeddings from large-scale graph-structured data.
PyTorch extensions for high performance and large scale training.
Open source platform to build a small-scale self-driving car using computer vision and AI.
Mcrouter is a memcached protocol router for scaling memcached deployments.
Waymo Open Dataset is a large-scale dataset for autonomous driving research and development.
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