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deep-speech

deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

encodinghumanactivity

Encoding human activity by considering salient sensors and time points.

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

hhar-data-process

Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"

human-activity-recognition

Multimodal human activity recognition using wrist-worn wearable sensors.

limu-bert-public

A lite BERT-like representation model for IMU sensor data

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

opennmt-py

Open Source Neural Machine Translation in PyTorch

pytorchic-bert

Pytorch Implementation of Google BERT

sensor-based-human-activity-recognition-deepconvlstm-pytorch

DeepConvLSTM model for sensor-based human activity recognition in Pytorch

sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

seq2seq-vis

Visualization for Sequential Neural Networks with Attention

tastenet-mnl

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.