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This is a collection of files to train and run a passive BCI experiment in which observing agents generate prediction error to correlate the magnitude with the human's event-related potential.
Various machine learning methods for feature selection, extraction, and classification are evaluated within individual subjects, EEG datasets, and across all EEG datasets. The goal of this research…
Course material for the Fundamentals of Computer Science for Computational Neuroengineering course at TUM
Fundamentals of Computer Science for Computational Neuroengineering
Fundamentals of Computer Science for Computational Neuroengineering 2020
Dynamic dispatching library for metrics and instrumentations.
Microsoft Quantum Development Kit Samples
24 Lessons, 12 Weeks, Get Started as a Web Developer
O Rocket.Q é uma aplicação de interação através de perguntas, sendo possível criar uma sala para internautas anônimos fazerem perguntas e o criador da sala em posse de uma senha gerenciar essas per…
A treasure chest for visual classification and recognition powered by PaddlePaddle
A python library for user-friendly forecasting and anomaly detection on time series.
DeFi Developer roadmap is a curated Developer handbook which includes a list of the best tools for DApps development, resources and references!
Simple, efficient background processing for Ruby
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Visual Python and C++ nanosecond profiler, logger, tests enabler
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI