KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

Geometric controllers developed at FDCL for UAVs

An archive for NILM papers with source code and other supplemental material

A paper list of state-of-the-art weakly supervised object detection or localization.

🎉🎨 Papers, CODE, Datasets for Meta-Learning and Meta-Reinforcement-Learning

This repository is used to collect papers and code in the field of AI.

Mixed-curvature Variational Autoencoders (ICLR 2020)

Deep learning research implemented on notebooks using PyTorch.

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

🎉🎨 Papers, CODE, Datasets for Meta-Learning and Meta-Reinforcement-Learning

Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.

Recognising hand-drawn molecules with neural networks

Machine Learning papers with code, data and models

dense face landmark detection

Artifacts, including experiments and graphs, for the paper: "Unikraft: Fast, Specialized Unikernels the Easy Way" (EuroSys'21 - Best Paper Award).

A simple implementation of our paper

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization

This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset

A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"