Pinned Repositories
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-emdl
Embedded and mobile deep learning research resources
automate-the-boring-stuff
My Practice Project solution for AUTOMATE THE BORING STUFF WITH PYTHON
bufferBomb
5 phases where you exploit the getbuf() function in C
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurrent layers
DM
2016 Fall Datamining project
Domain-Adaptation
A list of papers and other resources on domain adaptation
I.E.app
PGM
SCSC 2016-2 PGM SIG
SCDC
Android Application for Smartphone Data Collection by IMLab
swchoi0102's Repositories
swchoi0102/Domain-Adaptation
A list of papers and other resources on domain adaptation
swchoi0102/automate-the-boring-stuff
My Practice Project solution for AUTOMATE THE BORING STUFF WITH PYTHON
swchoi0102/bufferBomb
5 phases where you exploit the getbuf() function in C
swchoi0102/DM
2016 Fall Datamining project
swchoi0102/I.E.app
swchoi0102/PGM
SCSC 2016-2 PGM SIG
swchoi0102/sklearn-randomforest-visualize
swchoi0102/DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurrent layers
swchoi0102/SCDC
Android Application for Smartphone Data Collection by IMLab
swchoi0102/AndroidTensorFlowMNISTExample
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
swchoi0102/autonomous-car
swchoi0102/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
swchoi0102/dotfiles
swchoi0102/emdl
Embedded and mobile deep learning research resources
swchoi0102/Fashion-MNIST
Deepest Quest - classifying Fashion-MNIST dataset
swchoi0102/forecasting-stock-movement-direction
Forcasting stock market movement direction with support vector machine
swchoi0102/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
swchoi0102/IAML2017_project_1_2
swchoi0102/LSTM-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).
swchoi0102/pytorch-weight-pruning
swchoi0102/seqgan-text-tensorflow
:dango: SeqGAN implementation for generating text using an RNN.
swchoi0102/TensorFlowAndroidMNIST
Tensorflow MNIST demo on Android
swchoi0102/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
swchoi0102/UCI-HAR