Top 450 lstm open source projects

kaspersky hackathon
https://events.kaspersky.com/hackathon/
bert-squeeze
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Show and Tell
Show and Tell : A Neural Image Caption Generator
RNNPoet TensorFlow
使用LSTM训练生成古诗模型,其中生成器可以指定生成风格进行输出
korean ner tagging challenge
KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회
pred-rnn
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Tess4Android
A new fork base on tess-two and Tesseract 4.0.0
ArrayLSTM
GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
lstm-numpy
Vanilla LSTM with numpy
LSTM-sentiment-analysis
LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
QTextRecognizer
A gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
BiLSTM-CRF-NER-PyTorch
This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
R Unet
Video prediction using lstm and unet
Host-Load-Prediction-with-LSTM
host load prediction with Long Short-Term Memory in cloud computing
tf-ran-cell
Recurrent Additive Networks for Tensorflow
DrowsyDriverDetection
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
dnd-lstm
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.
Time-Series-Forecasting
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.
Bidirectiona-LSTM-for-text-summarization-
A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
lstm har
LSTM based human activity recognition using smart phone sensor dataset
LanguageModel-using-Attention
Pytorch implementation of a basic language model using Attention in LSTM network
Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
cudnn rnn theano benchmarks
No description or website provided.
LSTM-TensorSpark
Implementation of a LSTM with TensorFlow and distributed on Apache Spark
ode-lstms
Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
SynLSTM-for-NER
Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.
caffe-char-rnn
Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
SSIM Seq2Seq
SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
LSTM-Attention
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
har-wisdm-lstm-rnns
Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks
CharLM
Character-aware Neural Language Model implemented by PyTorch
seq2seq-autoencoder
Theano implementation of Sequence-to-Sequence Autoencoder
361-420 of 450 lstm projects