531 Open source projects that are alternatives of or similar to TensorMONK

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)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Computer vision library for wildfire detection

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

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

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

Deep learning model to estimate the depth of image.

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Gluon to PyTorch deep neural network model converter

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Depth estimation from RGB images using fully convolutional neural networks.

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

AI Papers

DeepLab v3+ model in PyTorch. Support different backbones.

PyTorch to Keras model convertor

Repository for implementation of generative models with Tensorflow 1.x

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

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.

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

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

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

Classification models trained on ImageNet. Keras.

Various CNN models for CIFAR10 with Chainer

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

ASR with PyTorch

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

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

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)

Light-weight Single Person Pose Estimator

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

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

Implementation of popular deep learning networks with TensorRT network definition API

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

No description or website provided.

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

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

Machine learning, in numpy

PyTorch to Keras model convertor

PyTorch implementation of CNNs for CIFAR benchmark

MobileNetV3 SSD的简洁版本

No description or website provided.

Classification with PyTorch.

Gluon to PyTorch deep neural network model converter

Speech commands recognition with 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

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

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

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

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Recognition of Sign Language using Capsule Networks

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Deploy your Flask web app classifier on Heroku which is written using fastai library.

一种运用resnet进行车型识别的方法，

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.