Pinned Repositories
Federated-Transfer-Learning-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)
apollo
An open autonomous driving platform
Apprenticeship-Learning-
My code of implementation of Apprenticeship Learning via IRL (Abbeel & Ng, 2004)
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
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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)
geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
play2vec
Effective and Efficient Sports Play Retrieval with Deep Representation Learning
Tensor-CSPNet-and-Graph-CSPNet
This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
GeometricBCI's Repositories
GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet
This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
GeometricBCI/Apprenticeship-Learning-
My code of implementation of Apprenticeship Learning via IRL (Abbeel & Ng, 2004)
GeometricBCI/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"
GeometricBCI/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)
GeometricBCI/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
GeometricBCI/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
GeometricBCI/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
GeometricBCI/play2vec
Effective and Efficient Sports Play Retrieval with Deep Representation Learning
GeometricBCI/apollo
An open autonomous driving platform
GeometricBCI/PySyft
A library for encrypted, privacy preserving machine learning
GeometricBCI/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.
GeometricBCI/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.
GeometricBCI/DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
GeometricBCI/geomstats
Computations and statistics on manifolds with geometric structures.
GeometricBCI/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
GeometricBCI/mlsh
GeometricBCI/riemannian-score-sde
Score-based generative models for compact manifolds
GeometricBCI/spdnet
Implementation of Deep SPDNet in pytorch
GeometricBCI/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