Ce Ju's repositories
Tensor-CSPNet-and-Graph-CSPNet
This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
Apprenticeship-Learning-
My code of implementation of Apprenticeship Learning via IRL (Abbeel & Ng, 2004)
Deep-Optimal-Transport-for-Domain-Adaptation-on-SPD-Manifolds
This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"
Federated-Transfer-Leraning-for-EEG
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
apollo
An open autonomous driving platform
PySyft
A library for encrypted, privacy preserving machine learning
Quantum-Reinforcement-Learning
Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech.
Robotic-Planning-Hyper-Parameter-Tuning-
We implement the basic grid search algorithm for tuning the hyper-parameter of robotic planning. The planning algorithm is implemented via optimal trajectory generation in Frenet frame.
DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
geomstats
Computations and statistics on manifolds with geometric structures.
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
riemannian-score-sde
Score-based generative models for compact manifolds
spdnet
Implementation of Deep SPDNet in pytorch
TSMNet
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG