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

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Distributed Keras Engine, Make Keras faster with only one line of code.

To classify video into various classes using keras library with tensorflow as back-end.

PyTorch tutorial for learners

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

List of papers, code and experiments using deep learning for time series forecasting

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Speaker independent emotion recognition

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Video to Text: Generates description in natural language for given video (Video Captioning)

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

convolutional lstm implementation in pytorch

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

A Thai word tokenization library using Deep Neural Network

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

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

Time series based anomaly detector

Keras implementation of video classifier

Vanilla LSTM with numpy

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Deep neural network to extract intelligent information from invoice documents.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Extending Keras to support tfrecord dataset

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Optical character recognition Using Deep Learning

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

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.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

PyTorch to Keras model convertor

Translating English sentences to Marathi using Neural Machine Translation

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Classification of Urban Sound Audio Dataset using LSTM-based model.

Self driving car in GTAV with Deep Learning

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Deep Learning using Rectified Linear Units (ReLU)

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

Примеры для курса "Программирование глубоких нейронных сетей на Python"

State of the art Chinese Word Segmentation with Bi-LSTMs

Keras implementation of a ResNet-CAM model

Sentence paraphrase generation at the sentence level

📢 Ready to learn or review your knowledge!

Anomaly detection for streaming data using autoencoders

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.