The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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• Updated Nov 7, 2026
• Python

Google Brain AutoML

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• Updated Mar 2, 2025
• Jupyter Notebook

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

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• Updated Aug 8, 2024
• Python

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

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• Updated Oct 24, 2021
• Jupyter Notebook

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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• Updated Aug 21, 2024
• Python

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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• Updated Jan 24, 2024
• Python

Real-time clipboard sync across all your devices — local-first, peer-to-peer, and end-to-end encrypted. No account. No cloud dependency. No central server.

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• Updated Nov 12, 2026
• TypeScript

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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• Updated Aug 29, 2024
• Python

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

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• Updated Jun 13, 2024
• Python

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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• Updated Jul 5, 2021
• Python

Bumble's Private Detector - a pretrained model for detecting lewd images

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• Updated Nov 5, 2023
• Python

High level network definitions with pre-trained weights in TensorFlow

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• Updated Jan 2, 2021
• Python

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

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• Updated Dec 24, 2021
• Python

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

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• Updated Oct 6, 2023
• Python

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

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• Updated May 9, 2021

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

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• Updated Nov 24, 2021
• Python

PyTorch implementation of EfficientNetV2 family

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• Updated Feb 20, 2022
• Python

face recognition training project(pytorch)

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• Updated Nov 12, 2021
• Python

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

computer-vision deep-learning pytorch image-classification food-classification object-detection semantic-segmentation efficientnet unetplusplus yolov5 food-analysis food-detection food-segmentation yolov8

• Updated May 1, 2024
• Python

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

computer-vision deep-learning pytorch semantic-segmentation kitti-dataset cityscapes edge-computing deeplabv3 mapillary-vistas-dataset aspp mobilenetv3 efficientnet

• Updated Mar 30, 2021
• Python