254 Open source projects that are alternatives of or similar to efficientnetv2.pytorch

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

Tools for generating mini-ImageNet dataset and processing batches

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

PyTorch C++ inference with LibTorch

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Sandbox for training deep learning networks

Parametric Contrastive Learning (ICCV2021)

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

EfficientNetv2 TensorRT int8

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

No description or website provided.

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.

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Implementing Searching for MobileNetV3 paper using Pytorch

⚡ Useful scripts when using TensorRT

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

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.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

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)

PyTorch Implementation for Neural Graph Collaborative Filtering

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

A clean and lucid implementation of cycleGAN using PyTorch

A new test set for ImageNet

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

The implementation of 3D-UNet using PyTorch

A pytorch implementation of VoVNet

Xception implemented with caffe

Classification with PyTorch.

🔥 OpenPose api wrapper in PyTorch.

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

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

PSPNet in Chainer

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

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

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Official repository for Big-Little Net

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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

A PyTorch Implementation of Convolutional Conditional Neural Process.

Classification models trained on ImageNet. Keras.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

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

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Bottleneck Transformers for Visual Recognition

ImageNet model implemented using the Keras Functional API

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

73.6% GhostNet 1.0x pre-trained model on ImageNet

Reproduce some methods in semi-supervised papers.