brilliaoce Goto Github PK

caffe-onnx

caffe model convert to onnx model

deep-residual-networks

Deep Residual Learning for Image Recognition

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

hui-liao

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

mediapipe

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

mobilenet-caffe

Caffe Implementation of Google's MobileNets

netscope

Neural network visualizer and analyzer

opencv_test

fbc_cv is an open source image process library.

pcl

prepare_detection_dataset

convert dataset to coco/voc format

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

resnet-18-caffemodel-on-imagenet

resnet-18-caffemodel-on-imagenet-1

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

resnet-cifar10-caffe

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

swin-transformer-object-detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

toolbox

yolov5-face

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

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~