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2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

adversarialattack-phm

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

asylo

An open and flexible framework for developing enclave applications

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bi-lstm-crf-ner-tf2.0

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

chatbot.catalog.customer-service

💊 智能客服、聊天机器人的应用算法

contract_info_extractor

Information extraction from contracts

cpes_code

code for energy system optimal planning and dispatch

cplex

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

cplex-python

Introduction to Cplex & Python

cplex-python-api-sample

A sample project for demonstrating how to solve common optimization problems using Cplex Python API

crypto-arbitrage-framework

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.

curve

An Integrated Experimental Platform for time series data anomaly detection.

darts

A python library for easy manipulation and forecasting of time series.

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

dispa-set

The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

energy_systems_and_control-projects

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

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

ffmpeg

Mirror of https://git.ffmpeg.org/ffmpeg.git

integrated-energy-systems-with-caes

The optimal dispatch of CAES in the integrated energy systems

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

licitabot

Text sentence level classificator to extract contract information from public tenders in .pdf source

ner

Implementation of BiLSTM-CRF in TF2.0 for Name-Entity-Recognition (NER)

phm

Industrial intelligence

phm-rul-prediction-by-em

Remain useful life prediction of rolling bearing.

phm2016

Materials for PHM Conference 2016 Tutorial on Big Data

phmgnnbenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.