brdav

em_ppca

EM algorithm for probabilistic PCA in Python

MUSES

SDK for MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

tavr

Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]

CISS

Unsupervised condition-level adaptation for semantic segmentation

Hierarchical-Localization

Visual localization made easy with hloc

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

CompL

cma

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation [ICCV 2023]

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

l2e

L2E, or Lasers to Events, is a calibration method for event cameras and lidar via mutual information maximization.

refign

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023]

HRDA

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

radar_to_lidar_calib

Calculates the extrinsic calibration between a Navtech radar and a 3D lidar

DAFormer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

DenseMatching

Dense matching library based on PyTorch

deep-rep

Official implementation of Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

deep-burst-sr

Official implementation of Deep Burst Super-Resolution

LiDAR_fog_sim

LiDAR fog simulation

atrc

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]

bmtas

Automated Search for Resource-Efficient Branched Multi-Task Networks [BMVC 2020]

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

RCM

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

astmt

Attentive Single-tasking of Multiple Tasks

darts

Differentiable architecture search for convolutional and recurrent networks

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

rl-medical

Deep Reinforcement Learning (DRL) agents applied to medical images