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attattr

band

Code repo for Attend and Decode: 4D fMRI Task State Decoding Using Attention Models, https://arxiv.org/abs/2004.05234

basic_python

GIRE basic python course sample github repository

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

dfcwalk

dFCwalk toolbox for dynamic Functional Connectivity analyses in terms of random walk descriptions, by Arbabyazd et al. (2020). MATLAB implementation

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusion-anomaly

Anomaly detection with diffusion models

dl_signal

Deep Learning Model for Signal Data

f-anogan

Implementation of f-AnoGAN with PyTorch

fmriprep_preprocessing

gcn_tutorial_test

genomictransformer

gire_basic_python

Basic python course in GIRE

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graphormer_new

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

modularization

multimodal_neuroimage_integration

SNU 2021 Fall MLVU final project

netpyne

A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks in NEURON.

object_lvdm

object centric LVDM

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

pgm_2022_adni_pll

term project for PGM 2022

predixcan

PrediXcan Project

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pyfolio

Portfolio and risk analytics in Python

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.