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accelerometer_data_pipeline_fitbit_ionic

This code is a pipeline to collect and store tri-axial accelerometer data from a Fitbit ionic device.

ai_clinician

Reinforcement learning for medical decisions

biobankaccelerometeranalysis

Extracting meaningful health information from large accelerometer datasets

circadian-rhythm-non-parametric-index

Circadian rhythm non-parametric index code

clustering

Using a quantum computer to cluster data points

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deepinsight

A general framework for interpreting wide-band neural activity

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

eeg-datasets

A list of all public EEG-datasets

gaussianprocesses

Python3 project applying Gaussian process regression for forecasting stock trends

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hybrid_cnn_with_1dcae

liadetecta

Using EEG Signals For Lie Detection

line_profiler

Line-by-line profiling for Python

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

nparact

:exclamation: This is a read-only mirror of the CRAN R package repository. nparACT — Non-Parametric Measures of Actigraphy Data. Homepage: https://www.r-project.org

number-partitioning

Number partitioning problem coding exercise to practice tuning the chain strength parameter.

pdf_ecg_extraction_code

pitchtron

TTS for pitch-accented language. Korean dialect DB.

policy-iteration-ai-clinician

This is the companion GitHub repository for the point85 blog post on using Policy Iteration to treat sepsis.

quantum_annealing_based_feature_selection

This repository includes the codes for the quantum annealing based feature selection algorithm.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl_code-keras2torch-

2019년 동계스터디 진행하면서 공부한 '파이썬과 케라스로 배우는 강화학습' 코드를 파이토치 코드로 바꾸며 공부한 코드 모음집! (Env코드 등등은 이웅원님의 코드와 같은 코드입니다!)

rl_study_note

이 repo는 OPEN_AI의 블로그에서 제공하는 강화학습 논문 리스트를 차례대로 공부해가며 내용을 정리한 repo입니다.

seizure-type-classification-tuh

seizure type classification using TUH dataset

swann-nengo

NeuroEvolution of Spiking Neural Networks(Nengo version)

synthea

Synthetic Patient Population Simulator

tutorials

Qiskit tutorials