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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
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Implementation of popular deep learning networks with TensorRT network definition API
Effortless data labeling with AI support from Segment Anything and other awesome models.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Tools to Design or Visualize Architecture of Neural Network
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)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Tensorflow Faster RCNN for Object Detection
OpenMMLab Pre-training Toolbox and Benchmark
ResNeSt: Split-Attention Networks
DeepLab v3+ model in PyTorch. Support different backbones.
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
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
🙄 Difficult algorithm, Simple code.
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