PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
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Updated
Dec 24, 2022 - Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Machine learning, in numpy
Implementation of popular deep learning networks with TensorRT network definition API
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
Tensorflow Faster RCNN for Object Detection
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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)
ResNeSt: Split-Attention Networks
Tools to Design or Visualize Architecture of Neural Network
DeepLab v3+ model in PyTorch. Support different backbones.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenMMLab Image Classification Toolbox and Benchmark
Residual networks implementation using Keras-1.0 functional API
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Classification models trained on ImageNet. Keras.
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