Top 450 lstm open source projects

Handwriting Generation
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
Predictive Maintenance Using Lstm
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Cnn lstm ctc tensorflow
CNN+LSTM+CTC based OCR implemented using tensorflow.
Personality Detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Ner Lstm Crf
An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
Basicocr
BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
Stock Trading Ml
A stock trading bot that uses machine learning to make price predictions.
Tensorflow poems
中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Crnn attention ocr chinese
CRNN with attention to do OCR,add Chinese recognition
Deep srl
Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next
Kraken
OCR engine for all the languages
Unet Zoo
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Image Captioning
Image Captioning using InceptionV3 and beam search
Cs291k
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
Paraphraser
Sentence paraphrase generation at the sentence level
Rnnsharp
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Deeptrade
A LSTM model using Risk Estimation loss function for stock trades in market
lstm
LSTM based on go and gorgonia
voice-conversion
an tutorial implement of voice conversion using pytorch
Thio
Thio - a playground for real-time anomaly detection
classifying-vae-lstm
music generation with a classifying variational autoencoder (VAE) and LSTM
Pytorch-POS-Tagger
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
2D-LSTM-Seq2Seq
PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.
stylenet
A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
video autoencoder
Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
tiny-rnn
Lightweight C++11 library for building deep recurrent neural networks
totally humans
rnn trained on r/totallynotrobots 🤖
knowledge-graph-nlp-in-action
从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
virnet
VirNet: A deep attention model for viral reads identification
AutoSleepScorer
An open-source sleep stage classification Python package
HTR-ctc
Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
time-series-forecasting-tensorflowjs
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
Dense BiLSTM
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Sequence-Models-coursera
Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
lstm-crf-tagging
No description or website provided.
rnn2d
CPU and GPU implementations of some 2D RNN layers
241-300 of 450 lstm projects