601 Open source projects that are alternatives of or similar to pyro-vision

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

High level network definitions with pre-trained weights in TensorFlow

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 collection of deep learning models (PyTorch implemtation)

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)

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

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

No description or website provided.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Deep learning codes and projects using Python

猫狗大战

DeepLab v3+ model in PyTorch. Support different backbones.

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

Classification models trained on ImageNet. Keras.

Gluon to PyTorch deep neural network model converter

Speech commands recognition with PyTorch

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

Classification with PyTorch.

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

PyTorch to Keras model convertor

A Keras implementation of MobileNetV2.

Keras implementation of a ResNet-CAM model

No description or website provided.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

OpenMMLab Image Classification Toolbox and Benchmark

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

🙄 Difficult algorithm, Simple code.

Implementation of popular deep learning networks with TensorRT network definition API

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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

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

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

PyTorch to Keras model convertor

PyTorch implementation of CNNs for CIFAR benchmark

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)

ASR with PyTorch

Various CNN models for CIFAR10 with Chainer

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

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

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

用python做计算机视觉，人工智能，机器学习，深度学习等

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

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Gluon to PyTorch deep neural network model converter

采用深度学习方法进行刀具识别。

This project is to use deep learning to auto classify the scene images with limited amount of training images.

CBAM implementation on TensorFlow Slim

TrackNet for badminton tracking using tensorflow2

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

.NET library to easily create Voice Command Control feature.

Introduction to deep learning with Tensorflow.

Notebooks for Fastai Viusal Guide

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Using DenseNet for human pose estimation based on TensorFlow.

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