yejiachen Goto Github PK
Name: Peter Chen
Type: User
Location: Taipei
Name: Peter Chen
Type: User
Location: Taipei
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.
ALAD (Proceedings of IEEE ICDM 2018) official code
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
Keras Layer implementation of Attention
An example attention network with simple dataset.
accessible AutoML for deep learning.
Transfer learning for time series classification
CNN for Multiple Choice Question Answering
A technical report on convolution arithmetic in the context of deep learning
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
PyTorch GPU implementation of the ES-RNN model for time series forecasting
GluonTS - Probabilistic Time Series Modeling in Python
Highly comparative time-series analysis code repository
Multi-user server for Jupyter notebooks
Attention mechanism Implementation for Keras.
Keras implementations of Generative Adversarial Networks.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
A wrapper layer for stacking layers horizontally
Attention mechanism for processing sequential data that considers the context for each timestamp.
Keras Temporal Convolutional Network.
用keras实现OCR定位、识别
Kubernetes spawner for JupyterHub
Code for visualizing the loss landscape of neural nets
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.