geometricbci Goto Github PK

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"

deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

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)

geomstats

Computations and statistics on manifolds with geometric structures.

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mlsh

play2vec

Effective and Efficient Sports Play Retrieval with Deep Representation Learning

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.

riemannian-score-sde

Score-based generative models for compact manifolds

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.

spdnet

Implementation of Deep SPDNet in pytorch

tensor-cspnet-and-graph-cspnet

This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

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