6591 Open source projects that are alternatives of or similar to Lstm Human Activity Recognition

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

1st place solution

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Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

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LSTM and GRU in PyTorch

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Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

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keras를 이용한 딥러닝 기초 학습

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

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An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

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Computer-generated poetry

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

lidc nodule detection with CNN and LSTM network

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Hybrid Code Networks https://arxiv.org/abs/1702.03274

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Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

A neural network that transforms a design mock-up into a static website.

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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Neural networks library for machine learning on PHP

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Recurrent Additive Networks for Tensorflow

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

RNN-LSTM that learns passwords from a starting list

Hands-on in-person workshop for Deep Learning with TensorFlow

Enhanced BiLSTM Inference Model for Natural Language Inference

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

rnn trained on r/totallynotrobots 🤖

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

Using LSTM network for time series forecasting

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

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Deep Learning

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