yejiachen Goto Github PK

2018oct

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

attention_keras

Keras Layer implementation of Attention

attention_network_with_keras

An example attention network with simple dataset.

autokeras

accessible AutoML for deep learning.

awesome-functional-python

bigdata18

Transfer learning for time series classification

cnn-qa

CNN for Multiple Choice Question Answering

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

hctsa

Highly comparative time-series analysis code repository

jupyterhub

Multi-user server for Jupyter notebooks

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-inceptionv4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras-multi-head

A wrapper layer for stacking layers horizontally

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

keras-tcn

Keras Temporal Convolutional Network.

keras_ocr

用keras实现OCR定位、识别

kubespawner

Kubernetes spawner for JupyterHub

loss-landscape

Code for visualizing the loss landscape of neural nets

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

mlstm-fcn

Multivariate LSTM Fully Convolutional Networks for Time Series Classification