triple mu's Projects
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.
CV
个人网页
Jailed iOS app that can install IPAs permanently with arbitary entitlements and root helpers because it trolls Apple
Simple samples for TensorRT programming
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Production First and Production Ready End-to-End Speech Recognition Toolkit
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolort is a runtime stack for yolov5 on specialized accelerators such as libtorch, onnxruntime, tvm, tensorrt and ncnn.
add yolov7 core ,improvement research based on yolov5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Make it easier for yolov6 to change the network structure
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv8 using TensorRT accelerate !
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/