tiny-llm is a large language model inference engine and transformer model implementation. It serves as a quantized model runtime and paged key-value cache manager, providing a specialized inference stack optimized for Apple Silicon. The system distinguishes itself through high-throughput execution techniques, including continuous batching and paged attention. It utilizes a paged memory system to eliminate fragmentation during token generation and employs on-the-fly dequantization of compressed weights to reduce the memory footprint during matrix multiplication. The project covers a broad ran
Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system to coordinate prefill and decode phases across GPU nodes, utilizing a multi-backend runtime adapter to connect engines like vLLM and TensorRT-LLM through a unified block-oriented memory interface. An OpenAI-compatible API server provides the frontend for integration with existing tools and clients. The project is distinguished by its disaggregated serving architecture, which separates prompt processing and token generation onto independent GPU pools to optimize throughput and
nnU-Net is a PyTorch-based deep learning framework for the supervised semantic segmentation of 2D and 3D biomedical images. It functions as an automated medical imaging pipeline that generates predicted masks and labels from clinical images. The system distinguishes itself by using dataset-driven auto-configuration to automatically select the optimal network architecture, preprocessing steps, and training hyperparameters based on the specific properties of the input medical dataset. The framework covers a broad range of capabilities including medical dataset preparation, intensity normalizat
Lingbot-map is a feed-forward neural network designed for real-time 3D scene reconstruction from streaming video. It processes video frames one at a time without iterative optimization, producing dense geometry and camera poses at interactive frame rates directly from a live feed.
الميزات الرئيسية لـ robbyant/lingbot-map هي: Streaming 3D Reconstruction Models, Streaming Inference Networks, Streaming Reconstructors, Feed-Forward Reconstructors, Live Feed Reconstructors, 3D Drift Correctors, Sliding-Window Inference, Long-Sequence Video Inference Engines.
تشمل البدائل مفتوحة المصدر لـ robbyant/lingbot-map: skyzh/tiny-llm — tiny-llm is a large language model inference engine and transformer model implementation. It serves as a quantized… modeltc/lightllm — LightLLM is a high-performance serving framework for deploying and executing large language models. It functions as a… ai-dynamo/dynamo — Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system… infrasys-ai/aiinfra. mic-dkfz/nnunet — nnU-Net is a PyTorch-based deep learning framework for the supervised semantic segmentation of 2D and 3D biomedical… huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,…