pdd271

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

pvt

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

regression-in-scikit-learn

Python, scikit-learn, polyfit, SGD_regressor, SVR_nonlinear

resnext-structure-for-tiny-image

ResNext Struture, EarlyStopping and ReduceLROnPlateau Callbacks in Keras, A folder based prediction method

scikit-learn-classification

scikit-learn and classification:Traditional Machine Learning Method

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

shufflenet_v2

Keras with Tensorflow backend code for ShuffleNet_V2

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

slfcd

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

swin-transformer-pytorch

Implementation of the Swin Transformer in PyTorch.

tensorflow-data-loader

Reading data into tensorflow using tf.data function

tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

using-genetic-algorithm-to-improve-artificial-neural-network

GANN model

vision-in-transformer-model

Apply Transformer Models to Computer Vision Tasks

vision-transformer

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wzu-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

xingshulicc

Machine learning, deep learning, evolution algorithm, the fans of math