西楼月's starred repositories
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
WearableSensorData
This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
Human-Activity-Recognition
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
continual-learning-benchmark
Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
encodingHumanActivity
Encoding human activity by considering salient sensors and time points.
Human-Activity-Recognition
Multimodal human activity recognition using wrist-worn wearable sensors.
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
DeepConvLSTM_Python3
Conversion of the original code to work in Python3
pytorch-action-recognition-toy
A toy LSTM net for action recognition using IMU sensor data, implemented in PyTorch. For the Hand-on tutorial as a TA in NAIST Spring Seminar 2019.
PyTorch-Time-Series-Classification-Benchmarks
Time Series Classification Benchmark with LSTM, VGG, ResNet
Linear-Attention-Recurrent-Neural-Network
A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Human-Activity-Recognition
Human Activity Recognition by Sensor on Smartphone
HAR-stacked-residual-bidir-LSTMs
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
LSTM-FCN-Pytorch
Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Transformer
A pytorch implementation of Attention is all you need
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
project-based-learning
Curated list of project-based tutorials
tensorflow
An Open Source Machine Learning Framework for Everyone
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.