A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

Meta-Learning with Fewer Tasks through Task Interpolation

Understanding Isomorphism Bias in Graph Data Sets

Evaluating molecular representations in machine learning models for drug response prediction and interpretability

Set-based Meta-Interpolation for Few-Task Meta-Learning


Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models


Amata: An Annealing Mechanism for Adversarial Training Acceleration

Improved Adversarial Training via Learned Optimizer

Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"


[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

Learning To Retrieve Prompts for In-Context Learning

GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

Unraveling the Mechanics of Learning-Based Demonstration Selection for
  In-Context Learning


Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts


Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"

GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling

A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding

Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16

A Transformer-based Threshold-Free Framework for Multi-Intent NLU

International Conference on Computational Linguistics

Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention

BlendX: Complex Multi-Intent Detection with Blended Patterns


incon - An R package for modelling the simultaneous consonance of musical chords

Simultaneous Consonance in Music Perception and Composition

Vocal similarity predicts the relative attraction of musical chords

Proceedings of the National Academy of Sciences of the United States of America

Roughness modelling based on human auditory perception for sound quality evaluation of vehicle interior noise

Harmony perception by periodicity detection

Simultaneous consonance in the perception and composition of Western music

Musical Features for Automatic Music Transcription Evaluation


SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

4D Contrastive Superflows are Dense 3D Representation Learners


This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 2018 competition

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

A deep learning framework for nucleus segmentation using image style transfer

Regression plane concept for analysing continuous cellular processes with machine learning


BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Machine learning approach of automatic identification and counting of blood cells

Classification of white blood cells using weighted optimized deformable convolutional neural networks

Artificial cells, nanomedicine, and biotechnology

UKSSL: Underlying Knowledge based Semi-Supervised Learning for Medical Image Classification

IEEE Open Journal of Engineering in Medicine and Biology

A review of microscopic analysis of blood cells for disease detection with AI perspective

Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges

Automated human cell classification in sparse datasets using few-shot learning

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells

Computational and mathematical methods in medicine

Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes

Deep Learning Segmentation and Classification of Red Blood Cells Using a
  Large Multi-Scanner Dataset


ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

A Label Attention Model for ICD Coding from Clinical Text

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Automated clinical coding using off-the-shelf large language models


pytorch code of multi scale 1d resnet, we hope it will help your research

Self-attention for raw optical Satellite Time Series Classification

BreizhCrops: A Time Series Dataset for Crop Type Mapping

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

An ensemble of convolution-based methods for fault detection using vibration signals


A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

MTTFsite: cross-cell type TF binding site prediction by using multi-task learning

Zenodo (CERN European Organization for Nuclear Research)

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

Efficient Multi-agent Reinforcement Learning by Planning

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation


Data visualization application for data taken with qtlab or QCoDeS


Exploiting raw images for real-scene super-resolution, TPAMI 2021

Towards Real Scene Super-Resolution with Raw Images

Exploiting Raw Images for Real-Scene Super-Resolution

BSRAW: Improving Blind RAW Image Super-Resolution


Cross Linugual COVID-19 Fake News Dataset

MM-COVID: A Multilingual and Multidimensional Data Repository for CombatingCOVID-19 Fake New

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

A Roadmap for Multilingual, Multimodal Domain Independent Deception
  Detection


Creative Commons Attribution Share Alike 4.0 International

Adversarial attacks on explanations and how to defend them

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Trends in Explainable AI (XAI) Literature


A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Robert Bridson's website.

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Learning 3D Shape Completion Under Weak Supervision

International Journal of Computer Vision

Panoptic 3D Scene Reconstruction From a Single RGB Image

RetrievalFuse: Neural 3D Scene Reconstruction with a Database

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Neural Collision Detection for Deformable Objects


Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models


Routines to model ocean carbonate system thermodynamics

Improved routines to model the ocean carbonate system: mocsy 2.0

Observation-constrained estimates of the global ocean carbon sink from Earth system models


Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

Exploring Chemical Space with Score-based Out-of-distribution Generation

Docking-based generative approaches in the search for new drug candidates

Drug Discovery with Dynamic Goal-aware Fragments

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Revisiting Deep Learning Models for Tabular Data

Well-tuned Simple Nets Excel on Tabular Datasets

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Attention augmented differentiable forest for tabular data

Deep differentiable forest with sparse attention for the tabular data

Dive into Decision Trees and Forests: A Theoretical Demonstration

NCART: Neural Classification and Regression Tree for Tabular Data


DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

A Unified View of Differentially Private Deep Generative Modeling

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)

Conference on Computer and Communications Security

A Survey of Machine Unlearning

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights

Advances in Geographic Information Systems

Graph Unlearning

How to Combine Membership-Inference Attacks on Multiple Updated Models


Caravan - A global community dataset for large-sample hydrology

AI Increases Global Access to Reliable Flood Forecasts


Data and Code for Reproducing "Global Relational Models of Source Code"

Global Relational Models of Source Code

International Conference on Learning Representations

A Survey of Learning-based Automated Program Repair

Understanding Neural Code Intelligence Through Program Simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Memorization and Generalization in Neural Code Intelligence Models

What does Transformer learn about source code?


A Divergence Minimization Perspective on Imitation Learning Methods

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees


doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are grounded in the associated documents.

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue

Generative Model Using Knowledge Graph for Document-Grounded Conversations

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering


BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Unsupervised Cross-lingual Representation Learning at Scale

On the Cross-lingual Transferability of Monolingual Representations

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

Bidirectional Language Models Are Also Few-shot Learners

BERT Based Multilingual Machine Comprehension in English and Hindi

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT

Modern Methods for Text Generation

Cross-language Information Retrieval


[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

RLIPv2: Fast Scaling of Relational Language-Image Pre-training


Deep contextualized word representations

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in research metrics and analytics

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation


PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Wide Activation for Efficient and Accurate Image Super-Resolution

Active weighted mapping-based residual convolutional neural network for image classification


Official implementation of "Particle Transformer for Jet Tagging".

Jet tagging via particle clouds

Energy Flow Networks: Deep Sets for Particle Jets

The Machine Learning landscape of top taggers

Particle Transformer for Jet Tagging

Top Quark Tagging Reference Dataset

Pythia8 Quark and Gluon Jets for Energy Flow

Jet Tagging with More-Interaction Particle Transformer


主流推荐系统Rank算法的实现

Wide & Deep Learning for Recommender Systems

Deep Interest Network for Click-Through Rate Prediction

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Product-based Neural Networks for User Response Prediction

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate


Template-DQN and DRRN agent implementations

Interactive Fiction Games: A Colossal Adventure

ScienceWorld: Is your Agent Smarter than a 5th Grader?

Behavior Cloned Transformers are Neurosymbolic Reasoners

A Minimal Approach for Natural Language Action Space in Text-based Games

Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games


Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

Sorting out Lipschitz function approximation

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Generalised Lipschitz Regularisation Equals Distributional Robustness


(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

MPViT: Multi-Path Vision Transformer for Dense Prediction

Transformers in computational visual media: A survey

Blending Anti-Aliasing into Vision Transformer

Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention


[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution


Scalable Differentiable Physics for Learning and Control (ICML2020)

Efficient Differentiable Simulation of Articulated Bodies


:speech_balloon: Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)

A Survey of Knowledge-enhanced Text Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

Knowledge-Grounded Dialogue Generation with Term-level De-noising

Meeting of the Association for Computational Linguistics


Hierarchical Graph Representation Learning with Differentiable Pooling

Spectral Clustering with Graph Neural Networks for Graph Pooling

Rethinking pooling in graph neural networks

Memory-Based Graph Networks


[NeurIPS 2023] A faithful benchmark for vision-language compositionality

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations


Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning

Quantifying safety risks of deep neural networks

Towards the Quantification of Safety Risks in Deep Neural Networks


TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition (ACL 2021)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Efficient Intent Detection with Dual Sentence Encoders


Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework


Layer-wise Relevance Propagation (LRP) for LSTMs.

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement

Evaluating Recurrent Neural Network Explanations

Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification

EXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2023, PT II

A comprehensive cross-language framework for harmful content detection
  with the aid of sentiment analysis


Reference files for running HipSTR with various organisms

Polymorphic short tandem repeats make widespread contributions to blood and serum traits

The mutational dynamics of short tandem repeats in large, multigenerational families

SNPs, short tandem repeats, and structural variants are responsible for differential gene expression across C57BL/6 and C57BL/10 substrains

Adaptive Long-Read Sequencing Reveals GGC Repeat Expansion in ZFHX3 Associated with Spinocerebellar Ataxia Type 4

Movement disorders : official journal of the Movement Disorder Society

Associations between forensic loci and expression levels of neighboring genes may compromise medical privacy

Proceedings of the National Academy of Sciences of the United States of America

Functional genomics provide key insights to improve the diagnostic yield of hereditary ataxia

Insights from a genome-wide truth set of tandem repeat variation

bioRxiv : the preprint server for biology

Structural variants and short tandem repeats impact gene expression and splicing in bovine testis tissue

Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data

The rate of spontaneous mutations in yeast deficient for MutSβ function


Goalign is a set of command line tools and an API to manipulate multiple sequence alignments. It is implemented in Go language.

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

A Structurally-Validated Multiple Sequence Alignment of 497 Human Protein Kinase Domains

Mirusviruses link herpesviruses to giant viruses

Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data

Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy

Genomic Epidemiology and Strain Taxonomy of Corynebacterium diphtheriae

Combining Phylogenetic and Network Approaches to Identify HIV-1 Transmission Links in San Mateo County, California

Cuban history of CRF19 recombinant subtype of HIV-1

Egoviruses: distant relatives of poxviruses abundant in the gut microbiome of humans and animals worldwide


pytorch version of the SAFE neural network

SAFE: Self-Attentive Function Embeddings for Binary Similarity

jTrans: jump-aware transformer for binary code similarity detection

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

jTrans: Jump-Aware Transformer for Binary Code Similarity

Scalable Program Clone Search through Spectral Analysis


A drop-in replacement for CIFAR-10.

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

CINIC-10 is not ImageNet or CIFAR-10

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

On the Strong Correlation Between Model Invariance and Generalization

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training


A repository for setting up a RNAseq workflow

Integrative Analyses of Antler Cartilage Transcriptome and Proteome of Gansu Red Deer (Cervus elaphus kansuensis) at Different Growth Stages

Animals : an open access journal from MDPI

Dysfunction of an Anaphase-Promoting Complex Subunit 8 Homolog Leads to Super-Short Petioles and Enlarged Petiole Angles in Soybean

International journal of molecular sciences


Compute graph embeddings via Anonymous Walk Embeddings

Anonymous Walk Embeddings

State of the Art and Potentialities of Graph-level Learning

Learning distributed representations of graphs with Geo2DR


Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors

Fully Learnable Model for Task-Driven Image Compressed Sensing


PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.

Conformance Checking over Uncertain Event Data

Efficient Time and Space Representation of Uncertain Event Data

Efficient Construction of Behavior Graphs for Uncertain Event Data

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data

An XES Extension for Uncertain Event Data


ABS: Scanning Neural Networks for Back-doors by  Artificial Brain Stimulation

Trigger Hunting with a Topological Prior for Trojan Detection

Backdoor Attack through Frequency Domain

DECK: Model Hardening for Defending Pervasive Backdoors

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense

SGBA: A stealthy scapegoat backdoor attack against deep neural networks

Learning Topological Representations for Deep Image Understanding

HaS-Net: A Heal and Select Mechanism to Securely Train DNNs against Backdoor Attacks


This is an implementation of ACRNet for results reproduction on COST2100

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems

Binarized Aggregated Network With Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO Systems

Aggregated Network for Massive MIMO CSI Feedback


Benchmark tests supporting the openalpr library

Based on Data Mining and Big Data Intelligent System in Enterprise Cost Accounting Optimization Application

Multinational License Plate Recognition Using Generalized Character Sequence Detection

Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment

On the Cross-dataset Generalization in License Plate Recognition

An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture


CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

Functional Connectome of the Human Brain with Total Correlation

Kernelized Hashcode Representations for Relation Extraction


DPLL(T)-based Verification tool for DNNs

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

A DPLL(T) Framework for Verifying Deep Neural Networks

Harnessing Neuron Stability to Improve DNN Verification


QT-NIRS: Quality Testing of Near Infrared Scans

Association of psychosocial adversity and social information processing in children raised in a low-resource setting: an fNIRS study

Growth in early infancy drives optimal brain functional connectivity which predicts cognitive flexibility in later childhood

Prenatal and childhood exposure to organophosphate pesticides and functional brain imaging in young adults

Combining wearable fNIRS and immersive virtual reality to study preschoolers’ social development: a proof-of-principle study on preschoolers’ social preference

Developing customized NIRS-EEG for infant sleep research: methodological considerations


MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

MolTrans: Molecular Interaction Transformer for drug–target interaction prediction

Interpretable bilinear attention network with domain adaptation improves drug-target prediction

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for
  Drug-Target Interaction


Benchmarking Deep Reinforcement Learning for Continuous Control

Imitating Driver Behavior with Generative Adversarial Networks

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning


AbLang: A language model for antibodies

AbLang: an antibody language model for completing antibody sequences

A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

Do Domain-Specific Protein Language Models Outperform General Models on Immunology-Related Tasks?


An R-Software package for multi-variate spatio-temporal modelling

Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data

Journal of geophysical research. Earth surface

A data-driven approach for assessing ice-sheet mass balance in space and time

Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion

Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion


Fiber Architecture Simulation Toolbox for 3D Polarized Light Imaging

Understanding fiber mixture by simulation in 3D Polarized Light Imaging

MEDUSA: A GPU-based tool to create realistic phantoms of the brain microstructure using tiny spheres

Derivation of Fiber Orientations From Oblique Views Through Human Brain Sections in 3D-Polarized Light Imaging

fastPLI: A Fiber Architecture Simulation Toolbox for 3D-PLI


Python module to compute and fit GRB afterglows.

A thousand days after the merger: Continued X-ray emission from GW170817

Monthly notices of the Royal Astronomical Society

A search for optical and near-infrared counterparts of the compact binary merger GW190814

Proceedings of the International Astronomical Union

A tale of two mergers: constraints on kilonova detection in two short GRBs at z∼0.5

Monthly Notices of the Royal Astronomical Society

GRMHD Simulations of Neutron-star Mergers with Weak Interactions: r-process Nucleosynthesis and Electromagnetic Signatures of Dynamical Ejecta

The early afterglow of GRB 190829A

Swift-XRT Follow-up of Gravitational-wave Triggers in the Second Advanced LIGO/Virgo Observing Run

The Astrophysical Journal Supplement Series


⚡ FastMLST: A multi-core tool for multilocus sequence typing of draft genome assemblies

Antimicrobial resistance and population genomics of multidrug-resistant Escherichia coli in pig farms in mainland China

FastMLST: A Multi-core Tool for Multilocus Sequence Typing of Draft Genome Assemblies

Intra-species diversity of Clostridium perfringens: A diverse genetic repertoire reveals its pathogenic potential

First Pangenome of Corynebacterium rouxii, a Potentially Toxigenic Species of Corynebacterium diphtheriae Complex

Prevalence and Genetic Characterization of Methicillin-Resistant Staphylococcus aureus Isolated from Pigs in Japan


stores the QRL white paper and various translations

Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges

On the Role of Hash-Based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions

A Review of Quantum and Hybrid Quantum / Classical Blockchain Protocols


Probabilistic Random Forest: A machine learning algorithm for noisy datasets

Probabilistic Random Forest: A Machine Learning Algorithm for Noisy Data Sets

Machine Learning in Astronomy: a practical overview

The probabilistic random forest applied to the selection of quasar candidates in the QUBRICS survey

UOCS - III. UVIT catalogue of open clusters with machine learning-based membership using Gaia EDR3 astrometry

A new automated tool for the spectral classification of OB stars

Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosis

Applied Machine-Learning Models to Identify Spectral Sub-Types of M Dwarfs from Photometric Surveys

Publications of the Astronomical Society of the Pacific


PyTorch implementation of some attentions for Deep Learning Researchers.

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Effective Approaches to Attention-based Neural Machine Translation

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Attention-Based Models for Speech Recognition

Neural Turing Machines


Fast computation of Krippendorff's alpha agreement measure in Python.

NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

Assessing the Impact of Contextual Information in Hate Speech Detection

A versatile framework for resource-limited sentiment articulation, annotation, and analysis of short texts

Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language
  Models

Headline Generation: Learning from Decomposable Document Titles

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

A System for Worldwide COVID-19 Information Aggregation

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization

Cross-Level Semantic Similarity for Serbian Newswire Texts

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Entropic Optimal Transport Benchmark (NeurIPS 2023).

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Light Schrödinger Bridge

Generative Entropic Neural Optimal Transport To Map Within and Across Spaces


"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

International Workshop on Information Forensics and Security

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

IEEE European Symposium on Security and Privacy

Detection of Fake and Fraudulent Faces via Neural Memory Networks

IEEE Transactions on Information Forensics and Security

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks

DeepFake-o-meter: An Open Platform for DeepFake Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.


Julia interface to climate models + tracked workflow framework


R interface to query UCSC bigWig files

Identification of regulatory elements from nascent transcription using dREG

ER-positive breast cancer cells are poised for RET-mediated endocrine resistance

Identification and prediction of developmental enhancers in sea urchin embryos

Chromatin run-on reveals the transcriptional etiology of glioblastoma multiforme

A bi-stable feedback loop between GDNF, EGR1, and ERα contribute to endocrine resistant breast cancer

Correction of transposase sequence bias in ATAC-seq data with rule ensemble modeling

Kinetic networks identify TWIST2 as a key regulatory node in adipogenesis

Integrative genome-scale analyses reveal post-transcriptional signatures of early human small intestinal development in a directed differentiation organoid model


The Language-Integrated Quantum Operations (LIQUi|>) Simulator

Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms

Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

QDB: From Quantum Algorithms Towards Correct Quantum Programs


Analytical tools and pipelines for bulk and single cell epigenomic and human genetic data

Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes

Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism

Chromosome 20p11.2 deletions cause congenital hyperinsulinism via the loss of FOXA2 or its regulatory elements

European journal of human genetics : EJHG


Generic and efficient MATLAB solver for nonsmooth optimization problems

Forward–backward quasi-Newton methods for nonsmooth optimization problems

Computational optimization and applications

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms

Proximal Gradient Algorithms: Applications in Signal Processing

A trust region-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization

A regularized Newton method for ℓ_q-norm composite optimization problems

An inexact q-order regularized proximal Newton method for nonconvex composite optimization


This repository includes the code to reproduce our paper "End-to-end anti-spoofing with RawNet2" (https://arxiv.org/abs/2011.01108) published in ICASSP '21.

End-to-end anti-spoofing with RawNet2

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


A spherical convolutional neural network for cosmology (TFv2).

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

DeepSphere: a graph-based spherical CNN

DeepSphere: towards an equivariant graph-based spherical CNN

A tomographic spherical mass map emulator of the KiDS-1000 survey using conditional generative adversarial networks


Identification & characterization of bacterial plasmid-borne contigs from short-read draft assemblies.

Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores

First Detection of GES-5-Producing Escherichia coli from Livestock—An Increasing Diversity of Carbapenemases Recognized from German Pig Production

Prevalence and Population Diversity of Listeria monocytogenes Isolated from Dairy Cattle Farms in the Cantabria Region of Spain

Animals : an open access journal from MDPI

Comparison of Antimicrobial Susceptibility Profiles of Thermotolerant Campylobacter spp. Isolated from Human and Poultry Samples in Georgia (Caucasus)


Various customs functions written to enhance the base functions of phyloseq. Most of them are used in the formation "Métagénomique 16S" provided by the platforms Migale and Genotoul

ranacapa: An R package and Shiny web app to explore environmental DNA data with exploratory statistics and interactive visualizations

Effects of Intra- and Interspecific Plant Density on Rhizosphere Bacterial Communities

Cast iron drinking water pipe biofilms support diverse microbial communities containing antibiotic resistance genes, metal resistance genes, and class 1 integrons

Environmental Science: Water Research & Technology

Soil Fungal Communities Investigated by Metabarcoding Within Simulated Forensic Burial Contexts


Two-stage Difference-in-Differences package following Gardner (2021)

did2s: Two-Stage Difference-in-Differences

Difference-in-Differences Estimation with Spatial Spillovers

Difference-in-Differences for Policy Evaluation


Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

CausaLM: Causal Model Explanation Through Counterfactual Language Models

International Conference on Computational Logic

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings

Benchmarking Intersectional Biases in NLP

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Co^2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning


A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.

On Variational Bounds of Mutual Information

Mutual information, neural networks and the renormalization group

Optimal Renormalization Group Transformation from Information Theory

Symmetries and phase diagrams with real-space mutual information neural estimation


Libraries to analyze numerical simulations (python3)

The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations

Nearest neighbour distributions: New statistical measures for cosmological clustering

The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence

Cosmological cross-correlations and nearest neighbour distributions

Monthly notices of the Royal Astronomical Society

A Lagrangian perturbation theory in the presence of massive neutrinos

Journal of Cosmology and Astroparticle Physics

Learning Cosmology and Clustering with Cosmic Graphs

Field Level Neural Network Emulator for Cosmological N-body Simulations

Neural networks as optimal estimators to marginalize over baryonic effects

Quijote-PNG: Simulations of Primordial Non-Gaussianity and the Information Content of the Matter Field Power Spectrum and Bispectrum

Axion minivoids and implications for direct detection


EAZY photometric redshift code (Brammer, van Dokkum & Coppi 2008)

Galaxy growth in a massive halo in the first billion years of cosmic history

Astronomy and Astrophysics - Near infrared spectroscopy and star-formation histories of 3 ≤ z ≤ 4 quiescent galaxies

Starbursts in and out of the star-formation main sequence

Confirmation and refutation of very luminous galaxies in the early Universe

A HIGH-RESOLUTION HUBBLE SPACE TELESCOPE STUDY OF APPARENT LYMAN CONTINUUM LEAKERS AT z ∼ 3

A Census of the Bright z = 8.5–11 Universe with the Hubble and Spitzer Space Telescopes in the CANDELS Fields

HFF-DeepSpace Photometric Catalogs of the 12 Hubble Frontier Fields, Clusters, and Parallels: Photometry, Photometric Redshifts, and Stellar Masses

The Astrophysical Journal Supplement Series

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Full spectrum fitting with photometry in ppxf: stellar population versus dynamical masses, non-parametric star formation history and metallicity for 3200 LEGA-C galaxies at redshift z ≈ 0.8

Extending the evolution of the stellar mass–size relation at z ≤ 2 to low stellar mass galaxies from HFF and CANDELS


fast thermo-chemical equilibrium code with or without equilibrium condensation down to 100K

Equilibrium chemistry down to 100 K. Impact of silicates and phyllosilicates on the carbon to oxygen ratio

Understanding the atmospheric properties and chemical composition of the ultra-hot Jupiter HAT-P-7b

A Hubble PanCET Study of HAT-P-11b: A Cloudy Neptune with a Low Atmospheric Metallicity

Implementation of disequilibrium chemistry to spectral retrieval code ARCiS and application to sixteen exoplanet transmission spectra: Indication of disequilibrium chemistry for HD 209458b and WASP-39b.

ThERESA: Three-dimensional Eclipse Mapping with Application to Synthetic JWST Data

High-resolution Transmission Spectroscopy of the Terrestrial Exoplanet GJ 486b

High-resolution Emission Spectroscopy of the Ultrahot Jupiter KELT-9b: Little Variation in Day- and Nightside Emission Line Contrasts

Sublimation of refractory minerals in the gas envelopes of accreting rocky planets

Data availability and requirements relevant for the Ariel space mission and other exoplanet atmosphere applications


Open STT

Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition

A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English

Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech
  Recognition, Translation, and Language Identification

IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task

Speech to Text System for Noisy and Quiet Speech


xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

xView: Objects in Context in Overhead Imagery

Aerial Vision-and-Dialog Navigation


Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/neurotopology/flagser.html

Computing Persistent Homology of Directed Flag Complexes

Impact of higher order network structure on emergent cortical activity

Same But Different: Distance Correlations Between Topological Summaries

Complexes of Tournaments, Directionality Filtrations and Persistent Homology

MCMC Sampling of Directed Flag Complexes with Fixed Undirected Graphs


Agent-based simulator for two sided urban mobility markets

Evolution of labour supply in ridesourcing

Simulating two-sided mobility platforms with MaaSSim

Modelling the Rise and Fall of Two-Sided Mobility Markets with Microsimulation


Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Analyzing the role of model uncertainty for electronic health records

Proceedings of the ACM Conference on Health, Inference, and Learning

Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes

Deep State-Space Generative Model For Correlated Time-to-Event Predictions

BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark

Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction


Wishbone is an algorithm to align cells along developmental trajectories with branches

Reversed graph embedding resolves complex single-cell trajectories

Wishbone identifies bifurcating developmental trajectories from single-cell data

BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process

D-EE: Distributed software for visualizing intrinsic structure of large-scale single-cell data


A fast and certifying solver for quantified Boolean formulas.

Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning

Partial Quantifier Elimination By Certificate Clauses

Partial Quantifier Elimination And Property Generation


See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

Ex Machina: Personal Attacks Seen at Scale

Dis/similarities in the design and development of legal and algorithmic normative systems: the case of Perspective API

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning

A Software Tool Aimed at Automating the Generation, Distribution, and Assessment of Social Media Messages for Health Promotion and Education Research


Leave One Feature Out Importance


A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

Emergence of Locomotion Behaviours in Rich Environments

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine

Realistic Physics Based Character Controller


SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval

PROD: Progressive Distillation for Dense Retrieval

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

Allies: Prompting Large Language Model with Beam Search

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion

LEAD: Liberal Feature-based Distillation for Dense Retrieval


Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Partial success in closing the gap between human and machine vision

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

FFT-based Dynamic Token Mixer for Vision

Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness

Canadian Conference on Computer and Robot Vision


OpenConcept: A toolkit for conceptual MDAO of aircraft with unconventional propulsion architectures

Thermal Management System Optimization for a Parallel Hybrid Aircraft Considering Mission Fuel Burn


Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

CNN Features off-the-shelf: an Astounding Baseline for Recognition

Colorful Image Colorization

Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2


SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Mechanisms of APOBEC3 mutagenesis in human cancer cells

The mutational signature profile of known and suspected human carcinogens in mice

Whole-genome analysis identifies novel drivers and high-risk double-hit events in relapsed/refractory myeloma

The landscape of genetic aberrations in myxofibrosarcoma

Identification of New Genes Involved in Germline Predisposition to Early-Onset Gastric Cancer

International journal of molecular sciences

Unravelling the instability of mutational signatures extraction via archetypal analysis

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences


Multi-Objective Reinforcement Learning algorithms implementations.

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

Multi-Objective Deep Reinforcement Learning

Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

International Conference on Machine Learning

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

Pareto Conditioned Networks

Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework

Hyperparameter Optimization for Multi-Objective Reinforcement Learning


HTSeq is a Python library to facilitate processing and analysis of data from  high-throughput sequencing (HTS) experiments.

CTCF loss has limited effects on global genome architecture in Drosophila despite critical regulatory functions

Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples

Spinal Cord Injury Induces Permanent Reprogramming of Microglia into a Disease-Associated State Which Contributes to Functional Recovery

The Journal of neuroscience : the official journal of the Society for Neuroscience

Interleukin-15 response signature predicts RhCMV/SIV vaccine efficacy

Transcriptional profiling of Hutchinson-Gilford Progeria syndrome fibroblasts reveals deficits in mesenchymal stem cell commitment to differentiation related to early events in endochondral ossification

Maize ZmLAZ1-3 gene negatively regulates drought tolerance in transgenic Arabidopsis

Differential contributions of nuclear lamina association and genome compartmentalization to gene regulation

Isolation of Anaerobic Bromate-Reducing Bacteria Using Different Carbon Sources and Transcriptomic Insights From Klebsiella variicola Glu3

Transcriptomics reveals the molecular regulation of Chinese medicine formula on improving bone quality in broiler

Enhanced Bioremediation Potential of Shewanella decolorationis RNA Polymerase Mutants and Evidence for Novel Azo Dye Biodegradation Pathways


This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Self-Refine: Iterative Refinement with Self-Feedback

The Adverse Effects of Code Duplication in Machine Learning Models of Code

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Learning to Represent Programs with Heterogeneous Graphs

Educational Data Mining to Support Programming Learning Using Problem-Solving Data

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis

FixEval: Execution-based Evaluation of Program Fixes for Programming Problems

Large Language Models of Code Fail at Completing Code with Potential Bugs

MSCCD

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Investigating the Efficacy of Large Language Models for Code Clone Detection


DFT-FE: Real-space DFT calculations using Finite Elements

DFT-FE – A massively parallel adaptive finite-element code for large-scale density functional theory calculations

DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization

All-electron density functional calculations for electron and nuclear spin interactions in molecules and solids

Roadmap on electronic structure codes in the exascale era


ARTIC SARS-CoV-2 workflow and reporting

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

bioRxiv : the preprint server for biology

Emergence of E484K Mutation Following Bamlanivimab Monotherapy among High-Risk Patients Infected with the Alpha Variant of SARS-CoV-2

Detection of High Level of Co-Infection and the Emergence of Novel SARS CoV-2 Delta-Omicron and Omicron-Omicron Recombinants in the Epidemiological Surveillance of Andalusia

Genomic Surveillance Reveals the Rapid Expansion of the XBB Lineage among Circulating SARS-CoV-2 Omicron Lineages in Southeastern Wisconsin, USA

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny


The OLD Gazebo Simulation repository.

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of Intelligent and Robotic Systems

MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments

International Conference on Unmanned Aircraft Systems

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments


A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Tools and Benchmarks for Automated Log Parsing

Log-based Anomaly Detection Without Log Parsing

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

Self-Supervised Log Parsing

UniParser: A Unified Log Parser for Heterogeneous Log Data

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Log Parsing with Prompt-based Few-shot Learning

Log Parsing: How Far Can ChatGPT Go?

A Directed Acyclic Graph Approach to Online Log Parsing

A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis


MagIC is a high-performance code that solves the magneto-hydrodynamics equations in rotating spherical shells

Spherical convective dynamos in the rapidly rotating asymptotic regime

Scaling regimes in spherical shell rotating convection

EXPLAINING THE COEXISTENCE OF LARGE-SCALE AND SMALL-SCALE MAGNETIC FIELDS IN FULLY CONVECTIVE STARS

Approaching a realistic force balance in geodynamo simulations

Proceedings of the National Academy of Sciences of the United States of America

Effect of shear and magnetic field on the heat-transfer efficiency of convection in rotating spherical shells

Dynamo-based limit to the extent of a stable layer atop Earth’s core

Deep rotating convection generates the polar hexagon on Saturn

Helicity inversion in spherical convection as a means for equatorward dynamo wave propagation

Multiple zonal jets in a turbulent Jovian dynamo model

Physical conditions for Jupiter-like dynamo models


Control the quality of your labeled data with the Python tools you already know.

Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

CrowdSpeech and Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription

A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation

Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP

If in a Crowdsourced Data Annotation Pipeline, a GPT-4

Proceedings of the CHI Conference on Human Factors in Computing Systems

A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python.

Learning from Crowds with Crowd-Kit

Towards Long-term Annotators: A Supervised Label Aggregation Baseline


ZMapv6: Internet Scanner with IPv6 capabilities

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

Rusty Clusters? Dusting an IPv6 Research Foundation

Proceedings of the 22nd ACM Internet Measurement Conference

From Single Lane to Highways: Analyzing the Adoption of Multipath TCP in the Internet

IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation

Characterizing the VPN Ecosystem in the Wild

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

Target Acquired? Evaluating Target Generation Algorithms for IPv6

IPv6 Hitlists at Scale: Be Careful What You Wish For

A Longitudinal View at the Adoption of Multipath TCP

Glowing in the Dark Uncovering IPv6 Address Discovery and Scanning Strategies in the Wild


Linux system call fuzzer

The Art, Science, and Engineering of Fuzzing: A Survey

Understanding TEE Containers, Easy to Use? Hard to Trust

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing


Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".

One-Shot Visual Imitation Learning via Meta-Learning

Learning One-Shot Imitation from Humans without Humans

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives


Hammer: Robust Function-Calling for On-Device Language Models via Function Masking

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and
  Detailed Benchmark


Detect model's attention

RISE: Randomized Input Sampling for Explanation of Black-box Models

B-cos Networks: Alignment is All We Need for Interpretability

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

How explainable are adversarially-robust CNNs?

Information-Theoretic Visual Explanation for Black-Box Classifiers

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound

Poly-CAM: High resolution class activation map for convolutional neural networks


[ICCV'19] WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection

Weakly Supervised Deep Detection Networks

Multiple Instance Detection Network with Online Instance Classifier Refinement

WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection


Code for "Multi-task Reinforcement Learning with Soft Modularization"

Multi-Task Reinforcement Learning with Soft Modularization

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 6

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing


ExORL: Exploratory Data for Offline Reinforcement Learning

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

When should we prefer Decision Transformers for Offline Reinforcement Learning?

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Do's and Don'ts: Learning Desirable Skills with Instruction Videos


A short tutorial on Keras for the co-utilization of audio and text data (multi-modal analysis)

A Structured Self-attentive Sentence Embedding

Speech Emotion Recognition Using Multi-hop Attention Mechanism

International Conference on Acoustics, Speech, and Signal Processing

Investigating an Effective Character-level Embedding in Korean Sentence Classification

Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution

Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface.


Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Large Dual Encoders Are Generalizable Retrievers

Decoupled Context Processing for Context Augmented Language Modeling

Exploring Dual Encoder Architectures for Question Answering

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Zero-Shot Retrieval with Search Agents and Hybrid Environments

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation


A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

One-Class Adversarial Nets for Fraud Detection

Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection


Python Whole Slide Image Preprocessing

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning

A Whole Slide Image Managing Library Based on Fastai for Deep Learning in the Context of Histopathology: Two Use-Cases Explained

Ink Marker Segmentation in Histopathology Images Using Deep Learning

Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review


An Extensible Continual Learning Framework Focused on Language Models (LMs)

Continual Pre-training of Language Models

Continual Training of Language Models for Few-Shot Learning

Adapting a Language Model While Preserving its General Knowledge

Unlocking Continual Learning Abilities in Language Models


Pinpoints the mutation favored by selection

An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

Identifying the favored mutation in a positive selective sweep

Selective sweep for an enhancer involucrin allele identifies skin barrier adaptation out of Africa

Fine-mapping the Favored Mutation in a Positive Selective Sweep

PopHumanVar: an interactive application for the functional characterization and prioritization of adaptive genomic variants in humans


MADiff: Offline Multi-agent Learning with Diffusion Models

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Select to Perfect: Imitating desired behavior from large multi-agent data


Calculate the Self-Calibrating Palmer Drought Severity Index (scPDSI)

Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators

Impacts of Agroclimatic Variability on Maize Production in the Setsoto Municipality in the Free State Province, South Africa

Spatial Heterogeneity in the Response of Winter Wheat Yield to Meteorological Dryness/Wetness Variations in Henan Province, China


800,000 step-level correctness labels on LLM solutions to MATH problems

Let's Verify Step by Step

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

Improving Large Language Model Fine-tuning for Solving Math Problems

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models


Codes for our paper "Revisiting Multiple Instance Neural Networks".

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

A Survey on Human Cancer Categorization Based on Deep Learning

Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization


This technique modifies image data so that any model trained on it will bear an identifiable mark.

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection

Radioactive data: tracing through training

On the Effectiveness of Dataset Watermarking

Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics

A General Framework for Data-Use Auditing of ML Models


Creative Commons Attribution 4.0 International

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models

Direct Consistency Optimization for Compositional Text-to-Image
  Personalization

InstructBooth: Instruction-following Personalized Text-to-Image Generation

Disguised Copyright Infringement of Latent Diffusion Models


Investigating Pretrained Language Models for Graph-to-Text Generation

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

Meeting of the Association for Computational Linguistics

Pre-training to Match for Unified Low-shot Relation Extraction

Element Intervention for Open Relation Extraction


A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A Comprehensive Survey on Graph Neural Networks

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks


Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Efficient and Transferable Adversarial Examples from Bayesian Neural Networks


Mouse cell atlas

scMAGIC: accurately annotating single cells using two rounds of reference-based classification

Alveolar macrophage-expressed Plet1 is a driver of lung epithelial repair after viral pneumonia

FGF23 directly inhibits osteoprogenitor differentiation in Dmp1-knockout mice


DeepTACT: predicting three-dimensional chromatin contacts via bootstrapping deep learning

DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal

Machine and deep learning methods for predicting 3D genome organization


keras implementation of inflated 3d from Quo Vardis paper + weights

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Surgical Gesture Recognition in Laparoscopic Tasks Based on the Transformer Network and Self-Supervised Learning

Accuracy and Performance Comparison of Video Action Recognition Approaches

IEEE High Performance Extreme Computing Conference

Interaction Model and Respect of Rules to Enhance Collaborative Brainstorming Results

Advances in Science, Technology and Engineering Systems Journal

SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation

Video Action Recognition Using spatio-temporal optical flow video frames


A Python cross correlation command line tool for unevenly sampled time series

Constraints on Lorentz invariance and C P T violation using optical photometry and polarimetry of active galaxies BL Lacertae and S5 B 0716 +714

Simultaneous optical/X-ray study of GS 1354-64 (=BW Cir) during hard outburst: evidence for optical cyclo-synchrotron emission from the hot accretion flow

Monthly Notices of the Royal Astronomical Society

Observation of the Gamma-Ray Binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS Telescopes

Evidence for hot clumpy accretion flow in the transitional millisecond pulsar PSR J1023+0038

UV to X-Ray Comptonization Delay in Mrk 493

Contrasting X-ray/UV time-lags in Seyfert 1 galaxies NGC 4593 and NGC 7469 using AstroSat observations

Long-term Optical and γ-Ray Variability of the Blazar PKS 1222+216

Using mutual information to measure time lags from nonlinear processes in astronomy

Analysis of the Intranight Variability of BL Lacertae during Its 2020 August Flare

Detection of X-ray/UV delay in NGC 4051 using AstroSat observations


[CVPR 2024] The official repo for Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

CNN-generated images are surprisingly easy to spot... for now

Towards Universal Fake Image Detectors that Generalize Across Generative Models

DIRE for Diffusion-Generated Image Detection


Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

Automated Machine Learning: State-of-The-Art and Open Challenges

Probabilistic Matrix Factorization for Automated Machine Learning

Deep Pipeline Embeddings for AutoML


Failure archive for ChatGPT and similar models

ChatGPT: A Meta-Analysis after 2.5 Months

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

FELM: Benchmarking Factuality Evaluation of Large Language Models

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

International Journal of Data Science and Analytics

Caveat Lector: Large Language Models in Legal Practice


LaTeX files for the Deep Learning book notation

About latent roles in forecasting players in team sports

Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric


Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

On the Stability-Plasticity Dilemma of Class-Incremental Learning


A Comprehensive Assessment of Dialog Evaluation Metrics

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation

EnDex: Evaluation of Dialogue Engagingness at Scale


Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

Transfer learning from language models to image caption generators: Better models may not transfer better

On Architectures for Including Visual Information in Neural Language Models for Image Description

Energy-Based Models with Applications to Speech and Language Processing

Foundations and Trends® in Signal Processing

How to choose "Good" Samples for Text Data Augmentation


Author's PyTorch implementation of TD3 for OpenAI gym tasks

Addressing Function Approximation Error in Actor-Critic Methods

A Minimalist Approach to Offline Reinforcement Learning

An Optimistic Perspective on Offline Reinforcement Learning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Quasi-hyperbolic momentum and Adam for deep learning

Better Exploration with Optimistic Actor-Critic

Deep Reinforcement Learning for Indoor Mobile Robot Path Planning


Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge
  Editing Benchmark

Mitigating Large Language Model Hallucination with Faithful Finetuning


Binarize convolutional neural networks using pytorch :fire:

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

International Conference on Computer Vision

XNOR-Net++: Improved Binary Neural Networks

Improved training of binary networks for human pose estimation and image recognition

Hierarchical Binary CNNs for Landmark Localization with Limited Resources

IEEE transactions on pattern analysis and machine intelligence


Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence to Sequence Learning with Neural Networks

A Deep Reinforced Model for Abstractive Summarization

Long Short-Term Memory-Networks for Machine Reading

A Survey on Text Classification: From Shallow to Deep Learning

RRA: Recurrent Residual Attention for Sequence Learning


Semantic Entity Retrieval Toolkit

Neural information retrieval: at the end of the early years

Learning Latent Vector Spaces for Product Search

International Conference on Information and Knowledge Management

Towards Question-based Recommender Systems

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Unsupervised, Efficient and Semantic Expertise Retrieval

Semantic Entity Retrieval Toolkit

Getting Started with Neural Models for Semantic Matching in Web Search

Structural Regularities in Text-based Entity Vector Spaces

International Conference on the Theory of Information Retrieval

Remedies against the Vocabulary Gap in Information Retrieval


Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

Separating Skills and Concepts for Novel Visual Question Answering

Learning from Lexical Perturbations for Consistent Visual Question Answering


Adversarial Example Attacks on Policy Learners

Noisy Networks for Exploration

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


Millefy: Genome browser-like visualization of single-cell RNA-seq dataset

Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data

A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data


Additional material for paper: Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations, ICCCN '20

The Doge of Wall Street: Analysis and Detection of Pump and Dump Cryptocurrency Manipulations

Applications of Signature Methods to Market Anomaly Detection


a pipeline for reconciliation of phylogenetic histories within a bacterial pangenome

Comparative Genomics of Novel Agrobacterium G3 Strains Isolated From the International Space Station and Description of Agrobacterium tomkonis sp. nov.

Automated reconstruction of all gene histories in large bacterial pangenome datasets and search for co-evolved gene modules with Pantagruel

Phylogenomics reveals the basis of adaptation of Pseudorhizobium species to extreme environments and supports a taxonomic revision of the genus


An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection


Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

GNN Transformation Framework for Improving Efficiency and Scalability


Contrast-agnostic segmentation of MRI scans

Brain Imaging Generation with Latent Diffusion Models

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

A Learning Strategy for Contrast-agnostic MRI Segmentation

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast

Medical Image Computing and Computer-Assisted Intervention

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Unsupervised Data Imputation via Variational Inference of Deep Subspaces

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs

International Symposium on Biomedical Imaging

DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology


PyTorch toolbox for matrix product state models

Supervised Learning with Quantum-Inspired Tensor Networks

Exponential Machines

TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork for Machine Learning

Quantum-inspired Machine Learning on high-energy physics data

Tensor Networks for Medical Image Classification

The landscape of software for tensor computations

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States

Deep convolutional tensor network

Locally orderless tensor networks for classifying two- and three-dimensional medical images


[MedIA'20]Multi-task recurrent convolutional network with correlation loss for surgical video analysis, winner algorithm at MICCAI'19 Surgical Workflow and Skill Analysis Challenge

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

A Review on Deep Learning in Minimally Invasive Surgery


Approximate knockoffs and model-free variable selection.

Deep Knockoffs

Journal of the American Statistical Association

Deep Direct Likelihood Knockoffs

Multivariate rank via entropic optimal transport: sample efficiency and generative modeling

Normalizing Flows for Knockoff-free Controlled Feature Selection

Learning to Increase the Power of Conditional Randomization Tests


AIGER And-Inverter-Graph Library

Shield Synthesis for LTL Modulo Theories

The Lattice-Theoretic Essence of Property Directed Reachability Analysis

An Automated Testing and Debugging Toolkit for Gate-Level Logic Synthesis Applications


MoFlow: an invertible flow model for generating molecular graphs

MoFlow: An Invertible Flow Model for Generating Molecular Graphs

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation


Permutation Tests for Linear Models

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

BCR-associated factors driving chronic lymphocytic leukemia cells proliferation ex vivo

Are publications on zoological taxonomy under attack?

Effects of Chemical and Mechanical Lysis on Microbial DNA Yield, Integrity, and Downstream Amplicon Sequencing of Rumen Bacteria and Protozoa

Establishing a mental lexicon with cochlear implants: an ERP study with young children

Microbiota associated with Mollitrichosiphum aphids (Hemiptera: Aphididae: Greenideinae): diversity, host species specificity and phylosymbiosis

Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences

Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions

Genes Involved in Drosophila melanogaster Ovarian Function Are Highly Conserved Throughout Evolution

Thermal independence of energy management in a tailed amphibian


Dataset for JSB Chorales at different temporal resolutions, with train, validation, test split from Boulanger-Lewandowski (2012).

Music Transformer

Counterpoint by Convolution

Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art

Improving Polyphonic Music Models with Feature-Rich Encoding

Generating Music with a Self-Correcting Non-Chronological Autoregressive Model

Unsupervised Musical Object Discovery from Audio


Multi-Planar UNet for autonomous segmentation of 3D medical images

U-Net: Convolutional Networks for Biomedical Image Segmentation

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Deep Structure Learning using Feature Extraction in Trained Projection Space

UNet Architectures in Multiplanar Volumetric Segmentation -- Validated on Three Knee MRI Cohorts


An open toolbox for NSFW & toxicity detection

LAION-5B: An open large-scale dataset for training next generation image-text models

What matters when building vision-language models?


Efficient Algorithms for L0 Regularized Learning

Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

Fast Sparse Classification for Generalized Linear and Additive Models

L0Learn: A Scalable Package for Sparse Learning using L0 Regularization

Safe Peeling for L0-Regularized Least-Squares with supplementary material


A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Learning To Follow Directions in Street View

The StreetLearn Environment and Dataset

Cross-View Policy Learning for Street Navigation


source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Domain-Adversarial Training of Neural Networks

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Towards Label Position Bias in Graph Neural Networks


Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Improved Few-Shot Visual Classification

On the Importance of Distractors for Few-Shot Classification

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Improving Few-Shot Visual Classification with Unlabelled Examples

On Label-Eﬀicient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers


Graph convolutional recurrent neural network

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Representation Learning for Dynamic Graphs: A Survey

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Dynamic Graph Information Bottleneck


Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics

ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER


Personalized federated learning codebase for research

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing


First Practical and General-purpose Range Filter

bloomRF: On Performing Range-Queries in Bloom-Filters with Piecewise-Monotone Hash Functions and Prefix Hashing

Grafite: Taming Adversarial Queries with Optimal Range Filters

bloomRF: On Performing Range-Queries with Bloom-Filters based on Piecewise-Monotone Hash Functions and Dyadic Trace-Trees

b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches


⛷ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

A Survey on Mixture of Experts

Demystifying the Compression of Mixture-of-Experts Through a Unified Framework


Conformalized Quantile Regression

Conformalized Quantile Regression

Nested conformal prediction and quantile out-of-bag ensemble methods

With Malice Towards None: Assessing Uncertainty via Equalized Coverage

Achieving Equalized Odds by Resampling Sensitive Attributes

Estimating Uncertainty Intervals from Collaborating Networks

Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction


Benchmarking attribution methods.

Benchmarking Attribution Methods with Relative Feature Importance

Algorithmic fairness datasets: the story so far

Best of both worlds: local and global explanations with human-understandable concepts


v1.5 and v1.6 OCPP implementation in Golang


UnifiedQA: Crossing Format Boundaries With a Single QA System

Instruction Tuning for Large Language Models: A Survey

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training

PROST: Physical Reasoning of Objects through Space and Time

Memory-efficient Transformers via Top-k Attention

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Single-dataset Experts for Multi-dataset Question Answering

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Crystal: Introspective Reasoners Reinforced with Self-Feedback


EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Empirical Methods in Natural Language Processing

Representation Learning for Dynamic Graphs: A Survey

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE


ASP planning tools for PDDL

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Answer Set Planning: A Survey

On Model Reconciliation: How to Reconcile When Robot Does not Know Human's Model?

Discovering and Proving Invariants in Answer Set Programming and Planning

LPOP: Challenges and Advances in Logic and Practice of Programming


Shiny apps for NGS etc based on reusable components created using Shiny modules

iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data

Omics Playground: a comprehensive self-service platform for visualization, analytics and exploration of Big Omics Data

iDEP: An integrated web application for differential expression and pathway analysis

WIlsON: Web-based Interactive Omics VisualizatioN

Establishment of the TALE-code reveals aberrantly activated homeobox gene PBX1 in Hodgkin lymphoma

Aberrant expression of NKL homeobox genes HMX2 and HMX3 interferes with cell differentiation in acute myeloid leukemia

Genomic Aberrations Generate Fusion Gene FOXK2::TP63 and Activate NFKB1 in Cutaneous T-Cell Lymphoma


BAMscale is a one-step tool for either 1) quantifying and normalizing the coverage of peaks or 2) generated scaled BigWig files for easy visualization of commonly used DNA-seq capture based methods.

Transcription shapes DNA replication initiation to preserve genome integrity

CXCL4 synergizes with TLR8 for TBK1-IRF5 activation, epigenomic remodeling and inflammatory response in human monocytes

Dynamics of replication origin over-activation

BAMscale: quantification of DNA sequencing peaks and generation of scaled coverage tracks


Framework for converting QA-SRL to Open-IE and evaluating Open IE parsers.

Creating a Large Benchmark for Open Information Extraction

Span Model for Open Information Extraction on Accurate Corpus

Graphene: Semantically-Linked Propositions in Open Information Extraction

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling

International Conference on Computational Semantics

Summarizing Unstructured Logs in Online Services

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Graphene: A Context-Preserving Open Information Extraction System

Fact-aware Sentence Split and Rephrase with Permutation Invariant Training

Hierarchical Knowledge Graphs: A Novel Information Representation for Exploratory Search Tasks


ASL Structural Inspection Planner

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots

Motion Primitives-based Navigation Planning using Deep Collision Prediction

Design and Control of an Aerial Manipulator for Contact-based Inspection

Semantics-aware Exploration and Inspection Path Planning

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots

Realizing the Aerial Robotic Worker for Inspection Operations


A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

Very Deep Convolutional Networks for Large-Scale Image Recognition

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Xception: Deep Learning with Depthwise Separable Convolutions

A ConvNet for the 2020s

GhostNet: More Features from Cheap Operations

EfficientNetV2: Smaller Models and Faster Training

RepVGG: Making VGG-style ConvNets Great Again


On the interpretation of transcriptome-wide association studies

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks

Local patterns of genetic sharing challenge the boundaries between neuropsychiatric and insulin resistance-related conditions

medRxiv : the preprint server for health sciences

Genome-wide cross-disease analyses highlight causality and shared biological pathways of type 2 diabetes with gastrointestinal disorders

Are Alzheimer's and coronary artery diseases genetically related to longevity?


Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

Mind Reader: Reconstructing complex images from brain activities

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Variational Distribution Learning for Unsupervised Text-to-Image Generation


see README

A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

Investigating self-supervised front ends for speech spoofing countermeasures

Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders

Investigating Active-Learning-Based Training Data Selection for Speech Spoofing Countermeasure

Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis

Improving LPCNet-based Text-to-Speech with Linear Prediction-structured Mixture Density Network

A Practical Guide to Logical Access Voice Presentation Attack Detection

Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Estimating the confidence of speech spoofing countermeasure

One-class learning towards generalized voice spoofing detection


A model-based test case generator

Automated test generation for REST APIs: no time to rest yet

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Testing RESTful APIs: A Survey

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Model-based testing in practice: An experience report from the web applications domain

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Leveraging Large Language Models to Improve REST API Testing

Towards Automated Assessment Generation in e-Learning Systems Using Combinatorial Testing and Formal Concept Analysis

Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway


Emissions Spatial and Temporal Allocator model


Collecting AMP MIC data from different sources, then running a GAN to output promising sequences

Deep learning regression model for antimicrobial peptide design

PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction

Accelerating Antimicrobial Peptide Discovery with Latent Structure


Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

A Survey on Time-Series Pre-Trained Models

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

Fredformer: Frequency Debiased Transformer for Time Series Forecasting

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Attention Is All You Need

Longformer: The Long-Document Transformer

Big Bird: Transformers for Longer Sequences

Extend and Explain: Interpreting Very Long Language Models


AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Face mask recognition from audio: The MASC database and an overview on the mask challenge

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

EURASIP Journal on Audio, Speech, and Music Processing

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era