Pinned Repositories
co3d
Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]
continual-inference
A Python library for Continual Inference Networks in PyTorch
continual-skeletons
Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"
continual-transformers
Official Pytorch Implementation for "Continual Transformers: Redundancy-Free Attention for Online Inference" [ICLR 2023]
dage
Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
datasetops
Fluent dataset operations, compatible with your favorite libraries
pytorch-benchmark
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
ride
Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch
structured-pruning-adapters
Structured Pruning Adapters in PyTorch
opendr
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
LukasHedegaard's Repositories
LukasHedegaard/office31
Splits for Office31 domain adaptation tasks
LukasHedegaard/youtube-dataset-downloader
Download utility for datasets from YouTube
LukasHedegaard/ActivityNet
This repository is intended to host tools and demos for ActivityNet
LukasHedegaard/keras-visual
Visualisation framework for Tensorflow Keras models
LukasHedegaard/mnist-usps
MNIST-USPS datasets splits for few-shot domain adaptation
LukasHedegaard/opendr-activity-recognition-demo
OpenDR human activity recognition demo
LukasHedegaard/sudoku-solver-rust
LukasHedegaard/CCSA
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
LukasHedegaard/Graph_Powered_ML_Workshop
Material and Notebooks for the Graph Powered ML Workshop September 2020 @Aalborg University.
LukasHedegaard/plp-study
Project repo for the "Programming Language Paradigms" course at Aarhus University, spring 2019
LukasHedegaard/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
LukasHedegaard/ride_sphinx_theme
Ride Sphinx Theme
LukasHedegaard/utils.pytorch
Utilities for Pytorch