densenet · GitHub Topics

#算法刷题#A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

人工智能机器学习 prediction image-prediction Python offline-capable imageai artificial-neural-networks 算法 image-recognition object-detection squeezenet densenet Video inceptionv3 detection gpu

Python 8.82 k

1 年前

qubvel / segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

unet fpn segmentation Keras pretrained pre-trained image-segmentation linknet pspnet Tensorflow segmentation-models resnet resnext efficientnet densenet keras-tensorflow keras-models mobilenet

Python 4.87 k

1 年前

weiaicunzai / pytorch-cifar100

#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...

PyTorch image-classification 深度学习 cifar100 resnet googlenet inceptionv4 xception resnext inceptionv3 densenet shufflenet mobilenet squeezenet

Python 4.58 k

1 年前

GeorgeSeif / Semantic-Segmentation-Suite

#计算机科学#Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

深度学习 Tensorflow segmentation 机器视觉 Python semantic-segmentation densenet encoder-decoder dataset upsampling

Python 2.52 k

4 年前

black0017 / MedicalZooPytorch

#计算机科学#A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

segmentation 深度学习 PyTorch Medical imaging medical-image-processing medical-image-segmentation 3d-convolutional-network densenet resnet unet segmentation-models

Python 1.85 k

1 年前

bearpaw / pytorch-classification

Classification with PyTorch.

classification cifar10 cifar100 imagenet PyTorch resnet resnext densenet

Python 1.74 k

1 年前

gpleiss / efficient_densenet_pytorch

#计算机科学#A memory-efficient implementation of DenseNets

densenet PyTorch 深度学习

Python 1.54 k

2 年前

lxztju / pytorch_classification

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 image-classification 部署 svm knn cnn densenet resnext resnet Flask random-forest knowledge-distillation

Jupyter Notebook 1.44 k

2 年前

senlinuc / caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

OCR lstm ctc densenet

C++ 1.29 k

5 年前

marcbelmont / cnn-watermark-removal

Fully convolutional deep neural network to remove transparent overlays from images

Tensorflow densenet watermark inpainting

Python 1.27 k

4 年前

qubvel / classification_models

Classification models trained on ImageNet. Keras.

resnet pretrained-models pretrained-weights Keras imagenet imagenet-classifier classification-model resnext senet inceptionv3 densenet mobilenet xception vgg

Python 1.23 k

3 年前

SuperBruceJia / EEG-DL

#计算机科学#A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

深度学习 eeg-classification eeg-signals-processing Tensorflow eeg-data cnn rnn gcn residual-learning densenet resnet lstm gru attention-mechanism fully-convolutional-networks transformer transformers

Python 1.06 k

11 天前

taehoonlee / tensornets

#计算机科学#High level network definitions with pre-trained weights in TensorFlow

Tensorflow model 深度学习 object-detection yolo yolov2 yolov3 faster-rcnn resnet inception vgg densenet mobilenet mobilenetv2 mobilenetv3 efficientnet squeezenet

Python 1 k

5 年前

gmalivenko / pytorch2keras

#计算机科学#PyTorch to Keras model convertor

PyTorch Keras Tensorflow onnx keras-models resnet densenet 机器学习 keras-tensorflow keras-neural-networks tensorflowjs 深度学习 deep-learning-models darts converter imagenet

Python 860

3 年前

bamos / densenet.pytorch

#计算机科学#A PyTorch implementation of DenseNet.

PyTorch 深度学习 densenet

Python 839

7 年前

BIGBALLON / cifar-10-cnn

#计算机科学#Play deep learning with CIFAR datasets

深度学习 cifar10 Tensorflow Keras convolutional-neural-networks cifar-100 residual-networks densenet

Python 831

5 年前

GoogleCloudPlatform / keras-idiomatic-programmer

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