This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

Last update: Jul 12, 2022

Related tags

Deep Learning Dugh-NeurIPS-2021

Overview

Dugh-NeurIPS-2021

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

The auditory and visual evoked field (AEF and VEF) data as well as the data for the simulation pipline can be downloaded using the following link: https://www.dropbox.com/sh/lm3m1tp475kxwjm/AABuKoqQeMMy11QfhOglHVP0a?dl=0

Owner

Ali Hashemi

I am a Data Scientist with over six years of experience and domain expertise in machine learning, statistics, optimization, and signal processing.

GitHub Repository

Multi-Task Deep Neural Networks for Natural Language Understanding

New Release We released Adversarial training for both LM pre-training/finetuning and f-divergence. Large-scale Adversarial training for LMs: ALUM code

2.1k Dec 30, 2022

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

Reinforcement Learning with Learned Fourier Features State-space Soft Actor-Critic Experiments Move to the state-SAC-LFF repository. cd state-SAC-LFF

10 Nov 11, 2022

MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images

MAg Paper Abstract File structure Dataset prepare Data description How to use MAg? Why not try the MAg_lib! Trained models Experiment and results Some

3 Apr 08, 2022

Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021.

SphereRPN Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021. Authors: Th

15 Dec 02, 2022

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

Related tags

Overview

Dugh-NeurIPS-2021

Owner

Ali Hashemi

Multi-Task Deep Neural Networks for Natural Language Understanding

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images

Python calculations for the position of the sun and moon.

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

Contrastive Learning with Non-Semantic Negatives

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Application of K-means algorithm on a music dataset after a dimensionality reduction with PCA

Pytorch implementation of DeepMind's differentiable neural computer paper.

Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"

A simple, fast, and efficient object detector without FPN

Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition"

pip install python-office

Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021)

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

Fine-grained Post-training for Improving Retrieval-based Dialogue Systems - NAACL 2021

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021.