223 Open source projects that are alternatives of or similar to Awesome Very Deep Learning

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Classification models trained on ImageNet. Keras.

High level network definitions with pre-trained weights in TensorFlow

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

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

No description or website provided.

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

PyTorch to Keras model convertor

Classification with PyTorch.

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

用python做计算机视觉，人工智能，机器学习，深度学习等

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

Computer vision library for wildfire detection

A collection of deep learning models (PyTorch implemtation)

PyTorch to Keras model convertor

Various CNN models for CIFAR10 with Chainer

PyTorch implementation of CNNs for CIFAR benchmark

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

Speech commands recognition with PyTorch

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

Gluon to PyTorch deep neural network model converter

ASR with PyTorch

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)

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)

Gluon to PyTorch deep neural network model converter

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

TensorFlow implementation of Faster RCNN for Object Detection

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Depth estimation from RGB images using fully convolutional neural networks.

Tensorflow Faster RCNN for Object Detection

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

Wide Residual Networks implemented in TensorLayer and TensorFlow.

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

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

3D DenseNet(torch version) for ModelNet40 dataset

🏞 A content-based image retrieval (CBIR) system

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

Samples for TensorFlow binding for .NET by Lost Tech

practice on CIFAR10 with Keras

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

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

Densely Connected Convolutional Network implementation by Chainer

an updated version of fb.resnet.torch with many changes.

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

No description or website provided.

Train DenseNet on Cifar-10 based on Keras

Reproduces ResNet-V3 with pytorch

A Tensorflow implementation of FPN detection framework.

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

Keras implementation of a ResNet-CAM model

CBAM implementation on TensorFlow Slim

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Repo about neural networks for images handling

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Ensemble code for Resnet in Tensorflow slim

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

tensorflow implementation of Grad-CAM (CNN visualization)

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

TrackNet for badminton tracking using tensorflow2