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verigpu

OpenSource GPU, in Verilog, loosely based on RISC-V ISA

verilator

Verilator open-source SystemVerilog simulator and lint system

visualdl

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

vitis-ai

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

vitis-ai_1.3.1_origin

vllm

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

workflow

Parallel Computing and Asynchronous Networking Engine ⭐️⭐️⭐️

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

xilinx_caffe_fromvitisairepo

xla

A community-driven and modular open source compiler for ML.

yijing

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolo-to-coco-format-converter

Yolo to COCO annotation format converter

yolo2coco

A set of tools for converting a darknet dataset to COCO format working with YOLOX

yolop

You Only Look Once for panopitic driving perception.（https://arxiv.org/abs/2108.11250）

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov4-triton-tensorrt

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-5.x-annotations

一个基于yolov5-5.0的中文注释版本！

yolov5-deeplabv3plus-meterreader

使用YOLOv5+DeepLabV3Plus实现仪表的检测、指针表盘分割和刻度读数识别

yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

yolov5-fastapi-celery-redis-rabbitmq

yolov5-fastapi-demo

FastAPI Wrapper of YOLOv5

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

yolov5-rknn-cpp

A rknn cpp/c++ inference codebase for yolov5.

yolov5-tutorial

yolov5_annotations

yolov5_deepsort_pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

yolov5_export_cpu

Exporting YOLOv5 for CPU inference with ONNX and OpenVINO