There are 12 repositories under papers-with-code topic.
:fire: :fire: :fire: A paper list of some recent Computer Vision(CV) works
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"
Geometric controllers developed at FDCL for UAVs
Large Language Models in Protein: A Comprehensive Survey
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 Neuromodulated Learning and Brain-Inspired Computing
This repository is used to collect papers and code in the field of AI.
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
Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
Machine Learning papers with code, data and models
dense face landmark detection
Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"
Artifacts, including experiments and graphs, for the paper: "Unikraft: Fast, Specialized Unikernels the Easy Way" (EuroSys'21 - Best Paper Award).
[Algorithms '19] Official code for the paper "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.
A simple implementation of our paper
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
A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
Codes used for generating the results in the paper "Geometric Adaptive Controls of a Quadrotor UAV with Decoupled Attitude Dynamics"
Matlab codes for comparing delayed Kalman filters, with application to the state estimation of a UAV.
Code for the "Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics" paper for 2021 IEEE International Conference on Big Data
IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses. Minimal IoT setup with a central ML-driven web-backend.
Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions. Code for the paper Generating Diverse and Meaningful Captions: Unsupervised Specificity Optimization for Image Captioning (Lindh et al., 2018).
A list of all publications related to the KaHyPar frameworks.
Supplementary material for the paper "BL-JUNIPER: A CNN Assisted Framework for Perceptual Video Coding Leveraging Block Level JND", IEEE TMM 2022
Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
Main repo for ESORICS 2025 paper “LibAFLstar: Fast, State-aware Protocol Fuzzing”