456 Open source projects that are alternatives of or similar to caffe-wrn-generator

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Using Residual Attention Networks to diagnose retinal diseases in medical images

ImageNet pre-trained models with batch normalization for the Caffe framework

ResNet for Cifar10

train resnet on imagenet from scratch with caffe

Unofficial pytorch implementation of ReZero in ResNet

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Wide Residual Networks implemented in TensorLayer and TensorFlow.

Reimplementation ResNet on cifar10 with caffe

A Caffe Re-Implementation of SENet

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, FaceViT.

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

Implemetation of Pyramid Scene Parsing Network in Pytorch

A Caffe Implementation of SRGAN

crnn.caffe

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

My Simple Implementation of AlphaGo Zero on Connect4

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Modified RefineDet

VGG16 architecture with BatchNorm

实现遇到的分类网络（持续更新）

The code for preparing the training data for crowd counting / segmentation algorithm.

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

This is a code repository for pytorch c++ (or libtorch) tutorial.

Image classification of Fungus using ResNet

Xception implemented with caffe

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

pytorch to caffe by onnx

Mxnet2Caffe_Tensor RT

A list of popular deep learning models related to classification, segmentation and detection problems

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

The SimNets Architecture's Implementation in Caffe

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

A Deep Learning Framework customized for Sunway TaihuLight

Re-implementation of tripletloss function in FaceNet

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

Convert image folder to lmdb, adapted from Efficient-PyTorch

benchmarking miopen

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Semantically consistent regularizer for zero-shot learning

No description or website provided.

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

No description or website provided.

Chainer implementation of Grad-CAM

TensorFlow implementation of DeepMask and SharpMask

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.

Scripts to work with LMDB + PyTorch for Imagenet training

arcface and retinaface model convert mxnet to onnx.

A Distributed ResNet on multi-machines each with one GPU card.

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

No description or website provided.

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.