xingyu-liu

llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

umap

Uniform Manifold Approximation and Projection

OpenCourseCatalog

Bilibili 公开课目录

face_morpher

:angel: Morph faces with Python, Numpy, Scipy

CEBRA

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

multitask

Code for Task representations in neural networks trained to perform many cognitive tasks

SP-GAN

GLMsingle

A toolbox for accurate single-trial estimates in fMRI time-series data

BrainEigenmodes

Code supporting 'Geometric constraints on human brain function'

surfplot

A package for publication-ready brain surface figures

surfdist

For calculating exact geodesic distances on cortical surface meshes

congrads

Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

NHP-BrainExtraction

alignment_macaque-human

cross-species alignment (joint-embedding between human and macaque)

TPHATE

hm-rnn

PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks

SynBOLD-DisCo

Synthetic BOLD images for distortion correction of fMRI without additional calibration scans

hipsthomasdocker

Docker version of HIPS-THOMAS

DCBC

shafiei_megdynamics

Code supporting Shafiei et al., 2023 "Neurophysiological signatures of cortical micro-architecture".

NeuralEncodingManifolds

Code for analysis of neural populations.

dcan-infant-pipeline

The actual pipeline code, based on hcp, for human infants

adaptation-manifolds

gradients

Data and code associated with: A dynamic gradient architecture generates brain activity states

HMLSTM

An implementation of a hierachical multiscale LSTM network

hmlstm

HMLSTM pytorch implementation and detailed analysis

jspsych_builder_demo

map_human_sorting_jspsych

a behavior exp program base on Jspsych(TypeScript)

nlu-hmrnn

Hierarchical Multiscale RNN, course project for "NLU and Computational Semantic" at NYU

competing-representations-shape-evidence-accumulation

Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2