1199 Open source projects that are alternatives of or similar to Predictive Maintenance Using Lstm

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

No description or website provided.

Java client libraries for redis-modules https://redis.io/modules, based on Redisson. https://github.com/redisson/redisson

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

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Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

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Predict traffic flow with LSTM. For experimental purposes only, unsupported!

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

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Fast specialized time-series database for IoT, real-time internet connected devices and AI analytics.

基于深度学习的中文NLP工具

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

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Code for ANA at SemEval-2019 Task 3

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A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

A system to recognize whether signatures are forged or real.

A Julia package for estimating ARMA-GARCH models.

Recurrent Additive Networks for Tensorflow

Anomaly detection implemented in Keras

Hastic standalone

A flexible statistical toolbox for deriving quantitative insights from groundwater data.

🥕 Evolutionary Neural Networks in JavaScript

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

Study and implementation about deep learning models, architectures, applications and frameworks

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Anomaly detection

Sherlock is an anomaly detection service built on top of Druid

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Keras implementation of character-level sequence-to-sequence learning for spelling correction

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

图像自动标注

Graph convolution with tf.keras

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Implementation of Papers on Adversarial Examples

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

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Prometheus remote write proxy that adds Cortex tenant ID based on metric labels

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Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

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Python application to write stock security data to a MongoDB Cluster. Supports a variable amount of stocks, variable amount of time and can write to a MongoDB time-series collection

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Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

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Forecasting Solar Power: Analysis of using a LSTM Neural Network