Name: Zehong (Jimmy) Cao
Type: User
Company: University of South Australia
Bio: A passionate researcher in humans and artificial intelligence, brain-computer interface, and interactive machine learning.
Location: Adelaide, Australia
Blog: czh513.github.io
Zehong (Jimmy) Cao's Projects
Pytorch implementation of the Graph Attention Network model by Veliฤkoviฤ et. al (2017, https://arxiv.org/abs/1710.10903)
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
the archived projects of atr
An environment for autonomous driving decision-making
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome Human-AI Interaction
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
Python Implementation of Reinforcement Learning: An Introduction
๐ง ๐ผ
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
Compare two version of an arXiv preprint with a single command.
COVID-19 TAS, AU
A list of high quality open datasets for COVID-19 data analysis
Jimmy's academic personal website
Experiments from paper "Robust Deep Neural Networks Inspired by Fuzzy Logic"
This repository is for Reinforcement Learning algorithms with Unity ML Agent
EEG Signal Processing - Coherence
A list of all public EEG-datasets
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
EEG Signal Processing - Entropy
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Pytorch implementation of various Attention Mechanism
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
follow gaze for nao robot using matcaffe opencv and reinforcement learning
๐ Eye Tracking library easily implementable to your projects