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keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-image-regression

image regression in keras

keras-image-regressor-with-augmentation

image regression template with 'imageDataGenerator' augmentation

keras-image-segmentation

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

keras-remote-sensing-image-retrieval

this is an implement of DenseNet using keras ,this project can do Remote sensing image classifiy or retrieval.I trained and evaluated this model on a dataset called PatternNet.

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras-vision-transformer

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

keras_cv_attention_models

Keras attention models including botnet,CoaT,CoAtNet,CMT,cotnet,halonet,resnest,resnext,resnetd,volo,mlp-mixer,resmlp,gmlp,levit,nfnets

keras_fashion_keypoints_location_deeplabv3_plus

keras_metrics

Some Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)

keras_radam

RAdam optimizer for keras

keras_unet_tf

labelme

Image Annotation Tool with Python.

landscapeviz

Visualizing the the loss landscape of Fully-Connected Neural Networks

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang-code

《统计学习方法》的代码实现

linknet

lmafn

NAS-guided Lightweight Multiscale Attention Fusion Network for Hyperspectral Image Classification

loss-landscape

Code for visualizing the loss landscape of neural nets

loss_landscapes_tf-keras

Tensorflow/Keras-compatible implementation of https://github.com/tomgoldstein/loss-landscape

losssurface

Efficient Neural Network Loss Landscape Generation

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

luojianet

lwnet

code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"

m3d-cam

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！