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Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.
A C++ implementation of active inference for POMDPs
code and video for grid cell memory model publication
Provide a fast (cpp-version) of Prioritized Experience Replay in Reinforcement Learning
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Prioritized Experience Replay implementation with proportional prioritization
Python code for "A multi-level account of hippocampal function from behavior to neurons".
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
A library for neuroscience-inspired navigation and decision making research.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A Python implementation of active inference for Markov Decision Processes
Analysis of hippocampal activity in the towers task
Connectivity algorithms that leverage the MNE-Python API.
Automatically process entire electrophysiological datasets using MNE-Python.
MNE-Features software for extracting features from multivariate time series
π π π π° Backtest trading strategies in Python.
Bond pricing using YTM or zero curve. Also basic NPV/IRR functions
ODrive driver for ros2_control
Open source SDK for Slamtec RPLIDAR series products
An open infrastructure for system level brain modeling
Relay multicast and broadcast packets between interfaces.
Automatic labeling of ICA components in Python.
Estimate dynamic high-order correlations in multivariate timeseries data
Matplot++: A C++ Graphics Library for Data Visualization ππΎ
Smart Irrigation custom component for Home Assistant
Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18
For running psychology and neuroscience experiments
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.