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

EfficientNetV2 implementation using PyTorch

Google Brain AutoML

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

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Source code for our "TitleStylist" paper at ACL 2020

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Awesome Pytorch Tutorials

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Scripts to work with LMDB + PyTorch for Imagenet training

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

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

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custom implementation alexnet with tensorflow

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

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

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

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

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EfficientNetv2 TensorRT int8

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.

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

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

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

PyTorch Implementation for Neural Graph Collaborative Filtering

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

A clean and lucid implementation of cycleGAN using PyTorch

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

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.

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!

Using efficientnet to provide embeddings for retrieval

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ImageNet model implemented using the Keras Functional API

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