248 Open source projects that are alternatives of or similar to DeepNetModel

Implementation of popular deep learning networks with TensorRT network definition API

用python做计算机视觉，人工智能，机器学习，深度学习等

PyTorch implementation of DeepDream algorithm

practice on CIFAR10 with Keras

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

High level network definitions with pre-trained weights in TensorFlow

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

实现遇到的分类网络（持续更新）

AI Papers

AI场景分类竞赛

YOLO-v2, ResNet-32, GoogLeNet-lite

Classification models trained on ImageNet. Keras.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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

TensorFlow implementation of Faster RCNN for Object Detection

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

Age and Gender Estimation Using Convolutional Neural Network

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

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

猫狗大战

Inflated 3D ConvNets for video understanding

No description or website provided.

Various CNN models for CIFAR10 with Chainer

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

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

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)

A one stop shop for all of your activity recognition needs.

benchmarking miopen

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

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)

An Implementation of Fully Convolutional Networks in Tensorflow.

QAT(quantize aware training) for classification with MQBench

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

No description or website provided.

Pytorch Implementation of AlexNet

Chainer implementation of Grad-CAM

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Computer vision based ML training data generation tool 🚀

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

food image to recipe with deep convolutional neural networks.

TensorFlow implementation of DeepMask and SharpMask

Implement of Openpose use Tensorflow

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Artificial Intelligence Learning Notes.

Neural Style implementation in PyTorch! 🎨

👁 Vision : Model 4: GoogLeNet : Image Classification

Image classification of Fungus using ResNet

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

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

VGG-Face CNN descriptor in PyTorch.

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.

Pyramidbox implement with pytorch

A pytorch implementation of Bilinear CNNs for Fine-grained Visual Recognition(BCNN).

No description or website provided.

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

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

This is a Chinese Character ocr system based on Deep learning (VGG like CNN neural net work),this rep include trainning set generating,image preprocesing,NN model optimizing based on Keras high level NN framwork

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !