papers-with-code

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.

Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

A curated list of resources dedicated to table recognition

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

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

Geometric controllers developed at FDCL for UAVs

Deep learning research implemented on notebooks using PyTorch.

Mixed-curvature Variational Autoencoders (ICLR 2020)

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

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

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

Machine Learning papers with code, data and models

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

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

IMS Machine Learning Lab publications.

A simple implementation of our paper

Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"

Recognising hand-drawn molecules with neural networks

Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.

Web interface for browsing arXiv papers