233 Open source projects that are alternatives of or similar to Vgg16 Pytorch

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

Various CNN models for CIFAR10 with Chainer

AI Papers

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

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

food image to recipe with deep convolutional neural networks.

tensorflow implementation of Grad-CAM (CNN visualization)

用python做计算机视觉，人工智能，机器学习，深度学习等

DSFD implement with pytorch

🙄 Difficult algorithm, Simple code.

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

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

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

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

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

TensorFlow implementation of Faster RCNN for Object Detection

High level network definitions with pre-trained weights in TensorFlow

记录每一个常用的深度模型结构的特点（图和代码）

Deep learning codes and projects using Python

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

Implementation of popular deep learning networks with TensorRT network definition API

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)

AI场景分类竞赛

PyTorch implementation of DeepDream algorithm

Classification models trained on ImageNet. Keras.

A collection of deep learning tutorials using Tensorflow and Python

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

PyTorch implementation of CNNs for CIFAR benchmark

Computer vision based ML training data generation tool 🚀

Video Classification using 2 stream CNN

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

2.86% and 15.85% on CIFAR-10 and CIFAR-100

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

♾A curated list of papers and code about very deep neural networks

Holistically-Nested Edge Detection

Reproduces ResNet-V3 with pytorch

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

猫狗大战

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

Keras implementation of a ResNet-CAM model

# This is a image classification by VGG16 pre-trained model.#

🏞 A content-based image retrieval (CBIR) system

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

Visualizing where the Convolution Network is looking through CAM.

Keras implementation of RetinaNet for object detection and visual relationship identification

PyTorch to Keras model convertor

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

A Tensorflow implementation of FPN detection framework.

A Pytorch Implementation of FER( facial expression recognition )

Neural Style implementation in PyTorch! 🎨

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Inflated 3D ConvNets for video understanding

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

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More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt