Implementation of "Attention Is Off By One" by Evan Miller

Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

Conformal Predictor: a handy script for prediction uncertainty quantification with .exe.

Zhejiang University Graduation Thesis LaTeX Template

Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

Transfer Learning Library for Domain Adaptation and Finetune.

Roadmap to becoming an Artificial Intelligence Expert in 2020

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Song Classification from EEG signals extracted from the brain

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

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This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

Official implementation of ICML paper Imitating Latent Policies from Observation

This is code of book "Learn Deep Learning with PyTorch"

Using Bag-of-Features to classify EEG time-series data

Motion Detection and Recognition based on sEMG singnal

Deep Learning Models for Brain Computer Interfaces

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

Multiple object tracking (MOT) algorithm implemented in C++

Basic Algorithm For Beginners

C++ Implementation of KCF Tracker

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

MATLAB functions to perform classification based upon topographic EEG data.