Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
-
Updated
Aug 27, 2024 - Python
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
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
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
A paper list of state-of-the-art weakly supervised object detection or localization.
Deep learning research implemented on notebooks using PyTorch.
🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science
Mixed-curvature Variational Autoencoders (ICLR 2020)
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
This repository is used to collect papers and code in the field of AI.
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
🎉🎨 This repository contains a reading list of papers with code on **Meta-Learning** and ***Meta-Reinforcement-Learning*
dense face landmark detection
Machine Learning papers with code, data and models
Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"
Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.
Add a description, image, and links to the papers-with-code topic page so that developers can more easily learn about it.
To associate your repository with the papers-with-code topic, visit your repo's landing page and select "manage topics."