datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
pose2actionexperiments on classifying actions using poses
pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
R UnetVideo prediction using lstm and unet
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
dnd-lstmA 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-ForecastingRainfall 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.
dltfHands-on in-person workshop for Deep Learning with TensorFlow
lstm harLSTM based human activity recognition using smart phone sensor dataset
Human-Activity-RecognitionHuman 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).
LSTM-TensorSparkImplementation of a LSTM with TensorFlow and distributed on Apache Spark
ode-lstmsCode repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
SynLSTM-for-NERCode and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.
caffe-char-rnnMulti-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
SSIM Seq2SeqSSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
RE-VERBspeaker diarization system using an LSTM
LSTM-AttentionA Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
treenetRecursive Neural Networks for PyTorch
har-wisdm-lstm-rnnsHuman Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks
CharLMCharacter-aware Neural Language Model implemented by PyTorch