Barproda

AttnSleep

The code for TNSRE work: "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

CAP

Cyclic Alternating Pattern

DCEC

DCSS

PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities

deep_feature_reweighting

DeepClustering

Methods and Implements of Deep Clustering

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

DISC

Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)

EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Freeze-Then-Train

Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise

group_DRO

Distributionally robust neural networks for group shifts

keras-lipschitz-networks

keras_unet_plus_plus

keras implementation of unet plus plus

LC

Official Implementation of Avoiding spurious correlations via logit correction

LinkNet-Keras

implementation of LinkNet in Keras

mvar-gauss-pid

Approximating deficiency-based PIDs for multivariate Gaussian systems

PID

[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

pytorch-apple-silicon

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.

PyTorch_YOLOv4

PyTorch implementation of YOLOv4

rare-spurious-correlation

Understanding Rare Spurious Correlations in Neural Network

sap-1-v2-mojo

SAP-1 CPU in Verilog for the Mojo FPGA board - has seperate address bus.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

simplicitybiaspitfalls

The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)

spurious_feature_learning

torch_DCEC

Pytorch Deep Clustering with Convolutional Autoencoders implementation

TransUnet

This repo reproduces the results of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

TransUNet-1

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

UNetPlusPlus

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch