eegml Goto Github PK

abstention

Algorithms for abstention, calibration and domain adaptation to label shift.

agora_evaluation

chumpy

cookiecutter-pyqt5

A cookiecutter template for PyQt5 GUI applications

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

eeghdf

development of an hdf5 based format for eeg storage in a machine-learning friendy way

eegml-mne-utils

helper functions and classes to work with mne python

eegml-signal

functions for signal processing with eeg

eegmlwidgets

jupyter widgets for the eegml lab

eegvis

visualization functions for EEG in matplotlib and jupyter notebooks

epipolarpose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

hippo-code

holistic_mesh

Holistic 3D Human and Scene Mesh Estimation from Single View Images

human_body_prior

VPoser: Variational Human Pose Prior

icu_eeg

An algorithm for seizure detection and data reduction in for EEGs performed in the intensive care unit

mne-features

MNE-Features software for extracting features from multivariate time series

multi-person-tracker

Simple Multi Person Tracker implementation in PyTorch

pare

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

prognet

Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on MRI for Targeted Biopsy

rohm

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

romp

ROMP: Monocular, One-stage, Regression of Multiple 3D People, ICCV21

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

smplx

SMPL-X

spec

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

stanfordeegdataset

stlv_neonatal_eeg_dataset

code to support access to neonatal EEG dataset Stevenson et al. 2018

torch-mesh-isect

vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

wandb_on_slurm

Example of how to use Weights & Biases on Slurm