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action-recognition

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

bert

TensorFlow code and pre-trained models for BERT

brain_typing

Codes, data for brain typing paper.

braindecode

Deep learning software to decode EEG or MEG signals

cs2103

For CS2103 Project Work

dnn-numpy-pytorch-tensorflow

DNN implementation with Numpy, Pytorch and tensorflow

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

esp-idf

Espressif IoT Development Framework. Official development framework for ESP32.

graph_exploration

exploration of networkx and Graph NN

graphneuralnet

A simple Graph Net in PyTorch

hello-world

Hello world first git-hub repository

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

lime-experiments

Code for all experiments.

model_search

openbci_gui

A cross platform application for the OpenBCI Cyton and Ganglion. Tested on Mac, Windows and Ubuntu/Mint Linux.

pca

Principal Component Analysis

python-signal-processing

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

resale_hdb

Analysis on the resale HDB prices in Singapore (Sep 2021)

research-group-web

a template for research group sites

scu

Code to accompany our 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) paper entitled - On the classification of SSVEP-based dry-EEG signals via convolutional neural networks.

ssvep_stimuli

Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unittest_doctest_assert

unit level testing using unittest, doctest. Assumption confirmation using assert