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2018 phm data challenge, ion mill machine RUL & fault diagnosis
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
An open and flexible framework for developing enclave applications
List of tools & datasets for anomaly detection on time-series data.
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)
💊 智能客服、聊天机器人的应用算法
Information extraction from contracts
code for energy system optimal planning and dispatch
国内最完整的cplex学习资料,包括基础、进阶知识,同时涵盖了物流、工业上的经典问题
Introduction to Cplex & Python
A sample project for demonstrating how to solve common optimization problems using Cplex Python API
A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.
An Integrated Experimental Platform for time series data anomaly detection.
A python library for easy manipulation and forecasting of time series.
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC
Projects related to Energy Systems and Control covering Flight Path Optimization, Battery Modeling, State Estimation, Optimal Economic Dispatch of Distribution, Forecasting Electricity Power Consumption, Optimal PHEV Energy Management
Implementing Siamese networks with a contrastive loss for similarity learning
Mirror of https://git.ffmpeg.org/ffmpeg.git
The optimal dispatch of CAES in the integrated energy systems
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Text sentence level classificator to extract contract information from public tenders in .pdf source
Implementation of BiLSTM-CRF in TF2.0 for Name-Entity-Recognition (NER)
Industrial intelligence
Remain useful life prediction of rolling bearing.
Materials for PHM Conference 2016 Tutorial on Big Data
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
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.