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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
Machine learning, in numpy
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
High level network definitions with pre-trained weights in TensorFlow
PyTorch to Keras model convertor
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Image classification of Fungus using ResNet
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.