Sanny

@sanjunliu

Sanny 暂无简介

组织

所有 个人的 我参与的
Forks 暂停/关闭的

    Sanny/MindSporemodels forked from MindSpore/models

    Models of MindSpore

    Sanny/PaperReading

    Computer Vision Paper Reading: Classification, Detection, Segmentation, 3D, Network Slimming, ...

    Sanny/datasets_tools

    Converting labelme json to COCO style json and rename the categories

    Sanny/ssd.pytorch

    A PyTorch Implementation of Single Shot MultiBox Detector

    Sanny/mediapipe

    MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

    Sanny/pcl

    Point Cloud Library (PCL)

    Sanny/centermask2

    CenterMask2 on top of detectron2, in CVPR 2020

    Sanny/superres

    Sanny/model-compression

    model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

    Sanny/DesktopNote

    The only simple yet rich-featured desktop note app you'll ever need for your PC.

    Sanny/yolact

    A simple, fully convolutional model for real-time instance segmentation.

    Sanny/SinGAN

    Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

    Sanny/annotation_tools

    Visipedia Annotation Tools

    Sanny/TensorRT

    TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

    Sanny/text-detection-ctpn

    text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

    Sanny/AI_study

    Sanny/network-slimming

    Sanny/Pruning_filters_for_efficient_convnets

    PyTorch implementation of "Pruning Filters For Efficient ConvNets"

    Sanny/visdom

    A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

    Sanny/MaskYolo_Caffe

    YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

搜索帮助