Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Ratinabox | 135 | 3 months ago | 32 | December 06, 2023 | 1 | mit | Python | |||
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity. | ||||||||||
Meta_rl | 32 | 5 years ago | mit | Python | ||||||
The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub. | ||||||||||
Policydissect | 28 | a year ago | apache-2.0 | Python | ||||||
[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection" | ||||||||||
Pomdp | 20 | 4 years ago | other | MATLAB | ||||||
Implementing a RL algorithm based upon a partially observable Markov decision process. | ||||||||||
Angorapy | 15 | 4 months ago | 15 | November 21, 2023 | 3 | gpl-3.0 | Python | |||
Build Goal-driven Models of the Sensorimotor Cortex with Ease. | ||||||||||
Prioritizedreplay | 13 | 6 years ago | mit | Matlab | ||||||
Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRxiv, 225664. | ||||||||||
Meta Rl Twostep Task | 10 | 3 years ago | 1 | gpl-3.0 | Python | |||||
PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details! | ||||||||||
Professional Workshop 3 | 9 | 6 months ago | Jupyter Notebook | |||||||
上海交通大学 致远数学方向 专业研讨课3 [计算神经科学专题] | ||||||||||
Machine Learning Portfolio | 7 | 3 months ago | other | Python | ||||||
Assorted machine learning implementations for medical data |