570 Open source projects that are alternatives of or similar to Senet Caffe

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

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

train resnet on imagenet from scratch with caffe

Caffe Wide-Residual-Network (WRN) Generator

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

PyTorch to Keras model convertor

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

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

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

PyTorch to Keras model convertor

Evaluation of the CNN design choices performance on ImageNet-2012.

Reimplementation ResNet on cifar10 with caffe

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

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

OpenMMLab Image Classification Toolbox and Benchmark

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

Scripts to work with LMDB + PyTorch for Imagenet training

Training Low-bits DNNs with Stochastic Quantization

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Xception implemented with caffe

Classification models trained on ImageNet. Keras.

Caffe Implementation of Google's MobileNets (v1 and v2)

Classification with PyTorch.

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

pytorch 2 caffe

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

AI on Hadoop

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

⚡ Useful scripts when using TensorRT

Various CNN models for CIFAR10 with Chainer

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Voice Activity Detection based on Deep Learning & TensorFlow

Keras implementation of Mobile Networks

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Collection of computer vision models, ready to be included in a JVM project

A caffe implementation of mobilenet's depthwise convolution layer.

Noise-Tolerant Paradigm for Training Face Recognition CNNs

ncnn is a high-performance neural network inference framework optimized for the mobile platform

I3D and 3D-ResNets in PyTorch

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Deformable Convolutional Networks on caffe

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Fine-grained classification via second order statistics in a compact end-to-end trainable model