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#

resnet

Here are 1,865 public repositories matching this topic...

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

  • UpdatedFeb 18, 2026
  • Python

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  • UpdatedApr 22, 2022
  • Python

Implementation of popular deep learning networks with TensorRT network definition API

  • UpdatedFeb 10, 2026
  • C++

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

  • UpdatedSep 16, 2025
  • Python

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)

  • UpdatedJul 15, 2024
  • Python

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  • UpdatedMar 24, 2023
  • Python

Tensorflow Faster RCNN for Object Detection

  • UpdatedSep 27, 2021
  • Python

校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

  • UpdatedJun 22, 2025
  • C++

ResNeSt: Split-Attention Networks

  • UpdatedDec 9, 2022
  • Python

DeepLab v3+ model in PyTorch. Support different backbones.

  • UpdatedAug 4, 2024
  • Python

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  • UpdatedJan 17, 2025
  • Python
MedicalZooPytorch

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

  • UpdatedFeb 6, 2023
  • Jupyter Notebook

Residual networks implementation using Keras-1.0 functional API

  • UpdatedJan 12, 2021
  • Python

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