Stars
SGLang is a fast serving framework for large language models and vision language models.
🤗 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.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Implementation of popular deep learning networks with TensorRT network definition API
All-in-One Development Tool based on PaddlePaddle
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
Learn OpenCV : C++ and Python Examples
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Lightning fast C++/CUDA neural network framework
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Papers, code and datasets about deep learning for 3D Object Detection.
Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
Simple samples for TensorRT programming
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测
Tengine is a lite, high performance, modular inference engine for embedded device
TensorRT plugin for 3-dimension grid sample operator