DeepStream-Yolo

A high-throughput and memory-efficient inference and serving engine for LLMs

ncnn is a high-performance neural network inference framework optimized for the mobile platform

SGLang is a fast serving framework for large language models and vision language models.

kaldi-asr/kaldi is the official location of the Kaldi project.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Open3D: A Modern Library for 3D Data Processing

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.

NumPy aware dynamic Python compiler using LLVM

NumPy & SciPy for GPU

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.