xingshulicc's Projects
"Probabilistic Machine Learning" - a book series by Kevin Murphy
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Python, scikit-learn, polyfit, SGD_regressor, SVR_nonlinear
ResNext Struture, EarlyStopping and ReduceLROnPlateau Callbacks in Keras, A folder based prediction method
scikit-learn and classification:Traditional Machine Learning Method
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Keras with Tensorflow backend code for ShuffleNet_V2
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
Implementation of the Swin Transformer in PyTorch.
Reading data into tensorflow using tf.data function
Implementation of triplet loss in TensorFlow
GANN model
Apply Transformer Models to Computer Vision Tasks
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
温州大学《机器学习》课程资料(代码、课件等)
Machine learning, deep learning, evolution algorithm, the fans of math