1.vllm-project / vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
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13 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a high-performance serving framework for large language models and multimodal models.
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Nano vLLM
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Machine Learning Engineering Open Book
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Making large AI models cheaper, faster and more accessible
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Superduper: End-to-end framework for building custom AI applications and agents.
Large Language Model Text Generation Inference