345 Open source projects that are alternatives of or similar to Pretrained Models.pytorch

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

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

Classification with PyTorch.

OpenMMLab Image Classification Toolbox and Benchmark

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Classification models trained on ImageNet. Keras.

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.

Inflated 3D ConvNets for video understanding

PyTorch to Keras model convertor

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

Speech commands recognition with PyTorch

PyTorch implementation of CNNs for CIFAR benchmark

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

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

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

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)

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

train resnet on imagenet from scratch with caffe

Implementation of popular deep learning networks with TensorRT network definition API

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.

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

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Reproduces ResNet-V3 with pytorch

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

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

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

TensorFlow ImageNet - Training and SOTA checkpoints

No description or website provided.

猫狗大战

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

PyTorch implementation of DeepDream algorithm

Scripts to work with LMDB + PyTorch for Imagenet training

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

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

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

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

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

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

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

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)

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

记录每一个常用的深度模型结构的特点（图和代码）

PyTorch to Keras model convertor

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

A Caffe Re-Implementation of SENet

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

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

High level network definitions with pre-trained weights in TensorFlow

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

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

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.