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.
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Updated
May 15, 2024 - C++
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.
A curated list of resources dedicated to table recognition
Geometric controllers developed at FDCL for UAVs
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"
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Deep learning research implemented on notebooks using PyTorch.
IMS Machine Learning Lab publications.
Mixed-curvature Variational Autoencoders (ICLR 2020)
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A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset
Codes used for generating the results in the paper "Geometric Adaptive Controls of a Quadrotor UAV with Decoupled Attitude Dynamics"
A simple implementation of our paper
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
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