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automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

big_data

cifar2png

Convert CIFAR-10 and CIFAR-100 datasets into PNG images

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

group_dro

Distributionally robust neural networks for group shifts

idyanoleroy

Config files for my GitHub profile.

imagenet21k

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

jtt

Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

mim

MIM Installs OpenMMLab Packages

mim-example

mislas

Improving Calibration for Long-Tailed Recognition (CVPR2021)

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

pokeria

pytorch-correlation-extension

Custom implementation of Corrleation Module

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

torchdrift

Drift Detection for your PyTorch Models

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.