shaonannan

shaonannan's Stars

• dunnolab/xland-minigrid

  JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

  Language:Python22116

• lucaslingle/pytorch_rl2

  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'

  Language:Python5410

• mtrazzi/two-step-task

  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

  Language:Jupyter Notebook5712

• BKHMSI/Meta-RL-TwoStep-Task

  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!

  Language:Python324

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35k6k

• marineschimel/ilqr_vae

  Language:OCaml101

• farznaj/multiscope_fn

  Codes used for the analysis of Allen Institute Multiscope data used in this paper: https://www.biorxiv.org/content/10.1101/2020.10.06.328294v2

  Language:Jupyter Notebook2

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.5k579

• LjubicaCimesa/Spiking-low-rank-networks

  Language:Python21

• 8erberg/spatially-embedded-RNN

  Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.

  Language:Jupyter Notebook398

• awjuliani/neuro-nav

  A library for neuroscience-inspired navigation and decision making research.

  Language:Jupyter Notebook20017

• BruntonUWBio/plumetracknets

  Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434

  Language:Jupyter Notebook287

• dqnykamp/sonets

  Generates Second Order Networks with prescribed second order motif frequencies

  Language:C++64

• AllenInstitute/visual_behavior_analysis

  Python package for analyzing behavioral data for Brain Observatory: Visual Behavior

  Language:Jupyter Notebook226

• fzenke/spytorch

  Tutorial for surrogate gradient learning in spiking neural networks

  Language:Jupyter Notebook29478

• AllenInstitute/aisynphys

  Analysis tools specific to the aiephys multipatch project.

  Language:Python115

• google-deepmind/jraph

  A Graph Neural Network Library in Jax

  Language:Python1.4k90

• google-deepmind/dm-haiku

  JAX-based neural network library

  Language:Python2.9k230

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.6k2.8k

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k465

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.2k2.2k

• erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch

  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

  Language:Python13311

• mdeib/berkeley-deep-RL-pytorch-solutions

  Pytorch solutions for UC Berkeley's cs285 assignments

  Language:Python12124

• neurogym/ngym_usage

  Language:Jupyter Notebook67

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.4k7.9k

• LernerLab/GuPPy

  Guided Photometry Analysis in Python, a free and open-source FP analysis tool.

  Language:Python6511

• buschman-lab/RotationalDynamics

  Code for creating recurrent neural network with rotational dynamics. Model is discussed in detail in "Rotational Dynamics Reduce Interference Between Sensory and Memory Representations" by Libby and Buschman.

  Language:Python176

• benfulcher/hctsa

  Highly comparative time-series analysis

  Language:MATLAB740318

• NeuromatchAcademy/precourse

  A repo for the pre-course work at home exercises

  Language:Jupyter Notebook614161

• electronicarts/CnC_Remastered_Collection

  Language:C++18.4k4.7k