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Hi there 👋

I'm Bogeng!

  • 👀 I’m interested in understanding how human perceive the world.
  • 🌱 I’m currently a master student at NYU
  • 💞️ I’m looking to collaborate on interesting projects using computational methods to understand the brain and behavior.
  • 📫 For more info about me, check out personal website: https://bogeng-song.github.io/

Bogeng Song's Projects

bayescog_wien icon bayescog_wien

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

ccm-site icon ccm-site

NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling

fmriprep icon fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

generative-agents icon generative-agents

An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior

interview icon interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, e

jekyllthemes icon jekyllthemes

A directory of the best-looking themes for Jekyll blogs

kelletal2018 icon kelletal2018

Parameters for the neural network used in Kell, Yamins, Shook, Norman-Haignere, and McDermott. "A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy." Neuron, 2018.

models icon models

Models and examples built with TensorFlow

pcdm icon pcdm

pupil common drive model (PCDM) toolbox.

pycochleagram icon pycochleagram

Generate cochleagrams natively in Python. Ported from Josh McDermott's MATLAB code.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

swin-unet icon swin-unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

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