10 projects
omnigen-usf
Production-ready synthetic data generation framework with pipeline-based architecture, multi-provider support, auto-resume, and enterprise-grade reliability
transformers-usf-om-vl-exp-v0
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
vllm-usf
vLLM-USF: A high-throughput and memory-efficient inference engine for LLMs (USF Custom Build)
transformers-usf
Enhanced Transformers library with Omega3 model support - State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
agentrouter
Simplify the Complex, Amplify the Intelligent for Enterprise. Orchestrate multiple agents with ease: register agents, integrate tools, define custom instructions, and leverage multiple models.
usf-agents
A lightweight multi-agent orchestration framework with better control, easy to use for complex to simple use cases. Developer friendly with more visibility and supports all models with OpenAI compatible API.
sglang-usf
SGLang is yet another fast serving framework for large language models and vision language models.
omega-agents
OmegaAgents is a scalable ReAct-based multi-agent framework designed for rapid solution development. It enables LLMs and agents to dynamically create and coordinate sub-agents during inference, mimicking human-like task distribution and collaboration. With built-in tools, parallel processing, and ephemeral memory management, it streamlines complex problem-solving through autonomous agent orchestration and structured output validation.
