319 Open source projects that are alternatives of or similar to Pyramidnet

Autoencoder trained on ImageNet Using Torch 7

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

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.

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

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train resnet on imagenet from scratch with caffe

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OpenMMLab Image Classification Toolbox and Benchmark

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

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Classification models trained on ImageNet. Keras.

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

Scripts to work with LMDB + PyTorch for Imagenet training

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.

Classification with PyTorch.

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

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

PyTorch to Keras model convertor

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

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

PyTorch to Keras model convertor

Gluon to PyTorch deep neural network model converter

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Machine learning, in numpy

Adaptive Real-Time Object Detection System with HOG and CNN Features

PyTorch implementations of recent Computer Vision tricks

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

3D ResNets for Action Recognition

a lightweight image matting model

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Training a ResNet on UMDFaces for face recognition

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Residual networks implementation using Keras-1.0 functional API

Official repository for Big-Little Net

Trial on kaggle imagenet object localization by yolo v3 in google cloud

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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

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

🙄 Difficult algorithm, Simple code.

High level network definitions with pre-trained weights in TensorFlow

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Porting pytorch dcgan on FloydHub

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Tensorflow ResNet implementation on cifar10

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]