Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

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

Reinforced Genetic Algorithm for Structure-based Drug Design

Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay Training

Drug Discovery with Dynamic Goal-aware Fragments

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization


Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML

Profiler: Profile-Based Model to Detect Phishing Emails

PhishRepo: A Seamless Collection of Phishing Data to Fill a Research Gap in the Phishing Domain

International Journal of Advanced Computer Science and Applications

PhishMatch: A Layered Approach for Effective Detection of Phishing URLs


Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients using the stellar atmosphere spectrum library by Husser et al. (2013). Described in Parviainen & Aigrain, MNRAS 453, 3821–3826 (2015).

ldtk: Limb Darkening Toolkit

Monthly Notices of the Royal Astronomical Society

K2 DISCOVERS A BUSY BEE: AN UNUSUAL TRANSITING NEPTUNE FOUND IN THE BEEHIVE CLUSTER

Warm terrestrial planet with half the mass of Venus transiting a nearby star

Multicolour photometry for exoplanet candidate validation

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Potassium detection in the clear atmosphere of a hot-Jupiter. FORS2 transmission spectroscopy of WASP-17b

MuSCAT2 multicolour validation of TESS candidates: an ultra-short-period substellar object around an M dwarf

The GTC exoplanet transit spectroscopy survey - II. An overly large Rayleigh-like feature for exoplanet TrES-3b

TWO SMALL TEMPERATE PLANETS TRANSITING NEARBY M DWARFS IN K2 CAMPAIGNS 0 AND 1

Planetary Candidates from K2 Campaign 16


Lattice light-sheet post-processing utility.

The HOPS tethering complex is required to maintain signaling endosome identity and TORC1 activity

ER-dependent membrane repair of mycobacteria-induced vacuole damage

A phosphoinositide and RAB switch controls early macropinocytosis

Rapid in-EPON CLEM: Combining fast and efficient labeling of self-labeling enzyme tags with EM-resistant Janelia Fluor dyes and StayGold


An open-access benchmark and toolbox for electricity price forecasting

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting

Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting


Start with the Chempy tutorial

The challenge of simultaneously matching the observed diversity of chemical abundance patterns in cosmological hydrodynamical simulations

Towards a fully consistent Milky Way disk model

Recovery of the low- and high-mass end slopes of the IMF in massive early-type galaxies using detailed elemental abundances

Monthly notices of the Royal Astronomical Society

Local disc model in view of Gaia DR1 and RAVE data


Methylation/modified base calling separated from basecalling.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Complete sequencing of a cynomolgus macaque major histocompatibility complex haplotype

Genome-wide methylation patterns from canine nanopore assemblies

Comparing methylation levels assayed in GC-rich regions with current and emerging methods

Training Data Diversity Enhances the Basecalling of Novel RNA Modification-Induced Nanopore Sequencing Readouts


Full-stack quantum processing toolkit

staq—A full-stack quantum processing toolkit

A MLIR Dialect for Quantum Assembly Languages

Secure quantum computing for healthcare sector: A short analysis

Architectures for Quantum Information Processing


Self-Supervision for Named Entity Disambiguation at the Tail

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval


BISulfite-seq CUI Toolkit

Focal disruption of DNA methylation dynamics at enhancers in IDH-mutant AML cells

Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing

CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes

Dupsifter: a lightweight duplicate marking tool for whole genome bisulfite sequencing

Genome-wide epigenetic dynamics during postnatal skeletal muscle growth in Hu sheep


Library of released PBPK substance models and evaluation reports

Pharmacokinetics of the CYP3A4 and CYP2B6 Inducer Carbamazepine and Its Drug–Drug Interaction Potential: A Physiologically Based Pharmacokinetic Modeling Approach

A Physiologically Based Pharmacokinetic Model of Ketoconazole and Its Metabolites as Drug–Drug Interaction Perpetrators

A Physiologically Based Pharmacokinetic and Pharmacodynamic Model of the CYP3A4 Substrate Felodipine for Drug–Drug Interaction Modeling

Development of a Physiologically Based Pharmacokinetic Model for Tegoprazan: Application for the Prediction of Drug–Drug Interactions with CYP3A4 Perpetrators


Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

Benchmarking framework for machine learning classification from fNIRS data


GuessWhat?! Baselines

GuessWhat?! Visual object discovery through multi-modal dialogue

End-to-end optimization of goal-driven and visually grounded dialogue systems

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Ask No More: Deciding when to guess in referential visual dialogue


OpenAGI: When LLM Meets Domain Experts

OpenAGI: When LLM Meets Domain Experts

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents


Universal Proposition Banks for Multilingual Semantic Role Labeling

Cross-Lingual Semantic Role Labeling With Model Transfer

Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

Towards Deep Universal Dependencies

Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Abstract meaning representation of Turkish

Making a Semantic Event-type Ontology Multilingual

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus

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


RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning


Pauvre: QC and genome browser plotting Oxford Nanopore and PacBio long reads.

NanoPack: visualizing and processing long-read sequencing data

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Comprehensive Pathogen Identification, Antibiotic Resistance, and Virulence Genes Prediction Directly From Simulated Blood Samples and Positive Blood Cultures by Nanopore Metagenomic Sequencing

Conserved novel ORFs in the mitochondrial genome of the ctenophore Beroe forskalii


Decombinator v5: fast, error-correcting analysis of TCR repertoires

Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires

Persistent T Cell Repertoire Perturbation and T Cell Activation in HIV After Long Term Treatment

Decombinator V4: an improved AIRR compliant-software package for T-cell receptor sequence annotation?

The clonal structure and dynamics of the human T cell response to an organic chemical hapten

Plasticity of the Immune System in Children Following Treatment Interruption in HIV-1 Infection

FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA


Cropbox: a declarative crop modeling framework


PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

Improved estimation of macroevolutionary rates from fossil data using a Bayesian framework

Progress to extinction: increased specialisation causes the demise of animal clades

Current extinction rate in European freshwater gastropods greatly exceeds that of the late Cretaceous mass extinction

A quantitative workflow for modeling diversification in material culture

No evidence for the radiation time lag model after whole genome duplications in Teleostei


PeTar is a high-performance N-body code for modelling the evolution of star clusters and tidal streams, including the effect of galactic potential, dynamics of binary and hierarchical system, single and binary stellar evolution.

Compact binary formation in open star clusters - I. High formation efficiency of Gaia BHs and their multiplicities

Gravitational wave of intermediate-mass black holes in Population III star clusters

A tale of caution: the tails of NGC 752 are much longer than claimed

The impact of massive stars and black holes on the fate of open star clusters and their tidal streams

On the Origin of the Split Main Sequences of the Young Massive Cluster NGC 1856

The Spatial Distributions of Blue Main-sequence Stars in Magellanic Cloud Star Clusters

SIRIUS Project – V. Formation of off-centre ionized bubbles associated with Orion Nebula Cluster

Black hole binary mergers in dense star clusters: the importance of primordial binaries

SIRIUS Project – IV. The formation history of the Orion Nebula Cluster driven by clump mergers

Compact Binary Formation in Open Star Clusters II: Difficulty of Gaia NS
  formation in low-mass star clusters


Python implementation of Bayesian Knowledge Tracing and extensions

Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing

User Modeling, Adaptation, and Personalization

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model

User Modeling, Adaption and Personalization

pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models

Modeling Knowledge Acquisition from Multiple Learning Resource Types

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization

Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff


Depth-weighted De-Mixing

Interim Estimates of 2022–23 Seasonal Influenza Vaccine Effectiveness — Wisconsin, October 2022–February 2023

MMWR. Morbidity and mortality weekly report

SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses

Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework

Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission

medRxiv : the preprint server for health sciences

Delta-Omicron recombinant escapes therapeutic antibody neutralization

SARS-CoV-2 infection dynamics and genomic surveillance to detect variants in wastewater – a longitudinal study in Bengaluru, India

The Lancet regional health. Southeast Asia

Significance of wastewater surveillance in detecting the prevalence of SARS-CoV-2 variants and other respiratory viruses in the community – A multi-site evaluation

Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas

Optimised protocol for monitoring SARS-CoV-2 in wastewater using reverse complement PCR-based whole-genome sequencing

Impact of reference design on estimating SARS-CoV-2 lineage abundances from wastewater sequencing data


EDGE is a highly adaptable bioinformatics platform that allows laboratories to quickly analyze and interpret genomic sequence data.

Enabling the democratization of the genomics revolution with a fully integrated web-based bioinformatics platform

EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts

EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts


rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

rPPG-Toolbox: Deep Remote PPG Toolbox

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with
  Parallel Spike-driven Transformer


2019 novel coronavirus repository

Projecting demand for critical care beds during COVID-19 outbreaks in Canada

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing

SARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

Age could be driving variable SARS-CoV-2 epidemic trajectories worldwide

Inferring the number of COVID-19 cases from recently reported deaths

Impact Assessment of Full and Partial Stay-at-Home Orders, Face Mask Usage, and Contact Tracing: An Agent-Based Simulation Study of COVID-19 for an Urban Region

Low dispersion in the infectiousness of COVID-19 cases implies difficulty in control


N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence

Neural networks : the official journal of the International Neural Network Society

Compiling Spiking Neural Networks to Neuromorphic Hardware

Languages, Compilers, and Tools for Embedded Systems

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration

SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators

Evaluation of Convolution Primitives for Embedded Neural Networks on 32-bit Microcontrollers

Resilience of Deep Learning applications: a systematic survey of analysis and hardening techniques


DPDK based packet generator

MoonGen: A Scriptable High-Speed Packet Generator

Automatic Parallelization of Software Network Functions

Concury: A Fast and Light-weighted Software Load Balancer


The FINE python package provides a framework for modeling, optimizing and assessing energy systems

Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

The Pareto-Optimal Temporal Aggregation of Energy System Models

Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects

The role of hydrogen in German residential buildings

Budget-cut: introduction to a budget based cutting-plane algorithm for capacity expansion models

A Metadata-Based Ecosystem to Improve the FAIRness of Research Software


A library for easily merging multiple LLM experts, and efficiently train the merged LLM.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Learning to Route Among Specialized Experts for Zero-Shot Generalization

MoELoRA: Contrastive Learning Guided Mixture of Experts on
  Parameter-Efficient Fine-Tuning for Large Language Models

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for
  Large Language Models with Applications in Protein Mechanics and Design

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language
  Models


A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Learning Transferable Visual Models From Natural Language Supervision

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation


Pipeline to annotate sequences at different taxonomic levels using  NCBI's taxonomy

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

CONCOCT: Clustering cONtigs on COverage and ComposiTion

A Large-Scale Comparative Metagenomic Study Reveals the Functional Interactions in Six Bloom-Forming Microcystis-Epibiont Communities

Improving contig binning of metagenomic data using
    d_2^S
\enddoc

HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

MetaGen: reference-free learning with multiple metagenomic samples


A python app to predict Att&ck tactics and techniques from cyber threat reports

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Last Line of Defense: Reliability Through Inducing Cyber Threat Hunting With Deception in SCADA Networks

Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild

STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports

Towards Automated Classification of Attackers' TTPs by combining NLP with ML Techniques

Toward Effective Evaluation of Cyber Defense: Threat Based Adversary Emulation Approach


A small program that glues together other programs allowing a user to input a codon alignment in FASTA format and produce an annotated phylogenetic tree showing which substitutions occurred on a given branch. Originally written for colleagues at the MRC NIMR.

Divergent evolutionary trajectories of influenza B viruses underlie their contemporaneous epidemic activity

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

Detection and Phylogenetic Analysis of Porcine Deltacoronavirus in Korean Swine Farms, 2015

Somatic evolution and global expansion of an ancient transmissible cancer lineage

Respiratory syncytial, parainfluenza and influenza virus infection in young children with acute lower respiratory infection in rural Gambia

Antigenic and molecular characterization of low pathogenic avian influenza A(H9N2) viruses in sub-Saharan Africa from 2017 through 2019

Spatiotemporal Associations and Molecular Evolution of Highly Pathogenic Avian Influenza A H7N9 Virus in China from 2017 to 2021

Genetic Characterization of Highly Pathogenic Avian Influenza A(H5N8) Virus in Pakistani Live Bird Markets Reveals Rapid Diversification of Clade 2.3.4.4b Viruses

Molecular epidemiology of influenza A(H1N1)PDM09 hemagglutinin gene circulating in São Paulo State , Brazil: 2016 anticipated influenza season

Revista do Instituto de Medicina Tropical de São Paulo

Temporal and Gene Reassortment Analysis of Influenza C Virus Outbreaks in Hong Kong, SAR, China

Overview of three influenza seasons in Georgia, 2014–2017


Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Deep Iterative and Adaptive Learning for Graph Neural Networks

Compact Graph Structure Learning via Mutual Information Compression

Latent Graph Inference with Limited Supervision

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks


fast, memory-efficient, pythonic (and command-line) access to fasta sequence files

A bioinformatics workflow for detecting signatures of selection in genomic data

Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells

Genetic Drift Shapes the Evolution of a Highly Dynamic Metapopulation

Population genetic structure and geographical variation in Neotricula aperta (Gastropoda: Pomatiopsidae), the snail intermediate host of Schistosoma mekongi (Digenea: Schistosomatidae)

Transmission Dynamics and Genomic Epidemiology of Emerging Variants of SARS-CoV-2 in Bangladesh

Tropical medicine and infectious disease

Metagenomic Sequencing for the Diagnosis of Plasmodium spp. with Different Levels of Parasitemia in EDTA Blood of Malaria Patients—A Proof-of-Principle Assessment

International journal of molecular sciences


MAC: Mining Activity Concepts for Language-based Temporal Localization

TALL: Temporal Activity Localization via Language Query

A Survey on Video Moment Localization


Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

Explainable AI Methods - A Brief Overview

A Survey of Deep Learning for Scientific Discovery

Regional Multi-Scale Approach for Visually Pleasing Explanations of Deep Neural Networks

Information-Theoretic Visual Explanation for Black-Box Classifiers


ExploreKit: Automatic Feature Generation and Selection

AutoML to Date and Beyond: Challenges and Opportunities

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

Meeting of the Association for Computational Linguistics

Few-shot Anomaly Detection in Text with Deviation Learning

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision


Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method

Quantifiable Interactivity of Malicious URLs and the Social Media Ecosystem

Attacking strategies and temporal analysis involving Facebook discussion groups

Conference on Network and Service Management


PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

Selective-Supervised Contrastive Learning with Noisy Labels

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning


Prod Env

Large Language Models are Zero-Shot Reasoners

Augmented Large Language Models with Parametric Knowledge Guiding

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

Calibrating Reasoning in Language Models with Internal Consistency

Large Language Models are Contrastive Reasoners


Repository containing code for the WWW 2021 paper on empathic rewriting

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing


Identify and find telomeres, or telomeric repeats in a genome.

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana

The phased telomere-to-telomere reference genome of Musa acuminata, a main contributor to banana cultivars

Telomere-to-telomere pear (Pyrus pyrifolia) reference genome reveals segmental and whole genome duplication driving genome evolution

Phased gap-free genome assembly of octoploid cultivated strawberry illustrates the genetic and epigenetic divergence among subgenomes

Gapless genome assembly of East Asian finless porpoise

Chromosome-level genome assembly of Lilford’s wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain)

The haplotype-resolved telomere-to-telomere carnation (Dianthus caryophyllus) genome reveals the correlation between genome architecture and gene expression

Comparative Genomic Analysis of Colletotrichum lini Strains with Different Virulence on Flax

Haplotype-resolved T2T reference genomes for wild and domesticated accessions shed new insights into the domestication of jujube


Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

Presence-Only Geographical Priors for Fine-Grained Image Classification

Where you go is who you are: a study on machine learning based semantic privacy attacks


Java realization for Ciphertext-Policy Attribute-Based Encryption

Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing

Security Architecture for Defining and Enforcing Security Profiles in DLT/SDN-Based IoT Systems

Preserving Smart Objects Privacy through Anonymous and Accountable Access Control for a M2M-Enabled Internet of Things

Efficient User-Centric Privacy-Friendly and Flexible Wearable Data Aggregation and Sharing

Too Many Options: A Survey of ABE Libraries for Developers


A package for designing compact and comprehensive capture probe sets.

Capturing sequence diversity in metagenomes with comprehensive and scalable probe design

Combining genomics and epidemiology to track mumps virus transmission in the United States

Co-circulating mumps lineages at multiple geographic scales


Code for Multi-Head Attention: Collaborate Instead of Concatenate

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

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations


A graph-inspired data structure for determining likely chains of sequences from breadcrumbs of evidence

On the complexity of haplotyping a microbial community

Probabilistic recovery of cryptic haplotypes from metagenomic data

Advances in the recovery of haplotypes from the metagenome


Combined genomic, transcriptomic, and metabolomic analyses provide insights into chayote (Sechium edule) evolution and fruit development

The genome and transcriptome analysis of snake gourd provide insights into its evolution and fruit development and ripening

Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes

Chromosome-level assembly and analysis of the Thymus genome provide insights into glandular secretory trichome formation and monoterpenoid biosynthesis in thyme

Chromosome-level genome assembly of Aristolochia contorta provides insights into the biosynthesis of benzylisoquinoline alkaloids and aristolochic acids

Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity

Chromosome-scale genomics, metabolomics, and transcriptomics provide insight into the synthesis and regulation of phenols in Vitis adenoclada grapes

Chromosome-level genome assembly of an endangered plant Prunus mongolica using PacBio and Hi-C technologies

DNA research : an international journal for rapid publication of reports on genes and genomes

A chromosome-level genome assembly of Agave hybrid NO.11648 provides insights into the CAM photosynthesis

Chromosome-level genome and multi-omics analyses provide insights into the geo-herbalism properties of Alpinia oxyphylla


Intent Contrastive Learning for Sequential Recommendation

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation


PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.

Learning with Succinct Common Representation Based on Wyner's Common Information


Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning

Target-Guided Structured Attention Network for Target-Dependent Sentiment Analysis

Transactions of the Association for Computational Linguistics


Inference of putative transmission phylogenetic clusters

Inferring putative transmission clusters with Phydelity

Determining the International Spread of B.1.1.523 SARS-CoV-2 Lineage with a Set of Mutations Highly Associated with Reduced Immune Neutralization

Determining international spread of novel B.1.1.523 SARS-CoV-2 lineage


Norm-Aware Embedding for Efficient Person Search (CVPR'20)

Query-Guided Networks for Few-shot Fine-grained Classification and Person Search

Gallery Filter Network for Person Search


On Faithfulness and Factuality in Abstractive Summarization

News Summarization and Evaluation in the Era of GPT-3

Annotating and Modeling Fine-grained Factuality in Summarization

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization


Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Mitigating Dataset Bias by Using Per-sample Gradient

Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels


Source code for "A Lightweight Recurrent Network for Sequence Modeling"

Quasi-Recurrent Neural Networks

Simple Recurrent Units for Highly Parallelizable Recurrence

Recurrent Additive Networks

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks


[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Augmentation-Free Graph Contrastive Learning with Performance Guarantee

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

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

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph

Simple and Asymmetric Graph Contrastive Learning without Augmentations

Position: Graph Foundation Models are Already Here


[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion

SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm

An Empirical Study of Mamba-based Pedestrian Attribute Recognition

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition


Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

FRAGE: Frequency-Agnostic Word Representation

Understanding and Improving Knowledge Distillation

Sigsoftmax: Reanalysis of the Softmax Bottleneck

Direct Output Connection for a High-Rank Language Model

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

Revisiting Representation Degeneration Problem in Language Modeling

An Empirical Study of Building a Strong Baseline for Constituency Parsing

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

Contextual Temperature for Language Modeling

Cross Entropy of Neural Language Models at Infinity—A New Bound of the Entropy Rate


R package for fitting joint models to time-to-event and longitudinal data

Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Nonlinear association structures in flexible Bayesian additive joint models

Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application

merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models

Handling missingness value on jointly measured time-course and time-to-event data

Communications in statistics. Simulation and computation


Code for the intrinsic dimensionality estimate of data representations

Dimensionality-Driven Learning with Noisy Labels

Intrinsic dimension of data representations in deep neural networks

Dataset Distillation with Infinitely Wide Convolutional Networks

On the Intrinsic Dimensionality of Image Representations


R2D2: Repeatable and Reliable Detector and Descriptor

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

Online Invariance Selection for Local Feature Descriptors

D2D: Keypoint Extraction with Describe to Detect Approach

Decoupling Makes Weakly Supervised Local Feature Better

FFD: Fast Feature Detector

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Single-Image Depth Prediction Makes Feature Matching Easier

MD-Net: Multi-Detector for Local Feature Extraction

Real-time Local Feature with Global Visual Information Enhancement


Official implementation of our FLAG paper (CVPR2022)

Robust Optimization as Data Augmentation for Large-scale Graphs

Graph Augmentation Learning

Data Augmentation for Graph Data: Recent Advancements


Estimating emissions for mobile sources


Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography


emoji2vec: Learning Emoji Representations from their Description

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media

Recent Advances in Natural Language Processing

Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification

DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning

Empirical Methods in Natural Language Processing

Pay attention to emoji: Feature Fusion Network with EmoGraph2vec Model for Sentiment Analysis

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification

Emoji-aware Co-attention Network with EmoGraph2vec Model for Sentiment Anaylsis

DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection

International Workshop on Semantic Evaluation


Fair Generative Modeling via Weak Supervision

Don't Play Favorites: Minority Guidance for Diffusion Models

Training Unbiased Diffusion Models From Biased Dataset

On Measuring Fairness in Generative Models

Self-Guided Generation of Minority Samples Using Diffusion Models


Levy distributions for Python

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints

International Conference on Acoustics, Speech, and Signal Processing

Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering


methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories

TOGA: A Neural Method for Test Oracle Generation

Proceedings of the 44th International Conference on Software Engineering

Unit Test Case Generation with Transformers and Focal Context

Methods2Test

Proceedings of the 19th International Conference on Mining Software Repositories

CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for
  Unit Test Generation


Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Zero-Shot Question Answering over Financial Documents using Large Language Models

A Robustly Optimized Long Text to Math Models for Numerical Reasoning On FinQA


[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

FedLab: A Flexible Federated Learning Framework

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization

FedWon: Triumphing Multi-domain Federated Learning Without Normalization

FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis


TLA+ specification for the Raft consensus algorithm

eXtreme Modelling in Practice

Modeling the Raft Distributed Consensus Protocol in LNT

Compositional Model Checking of Consensus Protocols Specified in TLA+ via Interaction-Preserving Abstraction

Leveraging TLA+ Specifications to Improve the Reliability of the ZooKeeper Coordination Service

MET: Model Checking-Driven Explorative Testing of CRDT Designs and
  Implementations

Smart Casual Verification of the Confidential Consortium Framework


RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker

Large language models can accurately predict searcher preferences

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework


AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

A simple way to make neural networks robust against diverse image corruptions

Learning perturbation sets for robust machine learning

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

CrossNorm and SelfNorm for Generalization under Distribution Shifts

TSS: Transformation-Specific Smoothing for Robustness Certification

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

On the Strong Correlation Between Model Invariance and Generalization


Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Performance Optimization of Federated Person Re-identification via Benchmark Analysis

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

EasyFL: A Low-Code Federated Learning Platform for Dummies

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

ACM Transactions on Multimedia Computing, Communications, and Applications


Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

Conditional Deformable Image Registration with Convolutional Neural Network

ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images

Spatially Covariant Image Registration with Text Prompts

: Approximate Diffeomorphisms via Gradient Inverse Consistency


Code for "Typilus: Neural Type Hints" PLDI 2020

Typilus: neural type hints

Programming Language Design and Implementation

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.


A Library for Dynamic Graph Learning (NeurIPS 2023)

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

An Empirical Evaluation of Temporal Graph Benchmark

Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks

A survey of dynamic graph neural networks

From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding


Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Generate IGV style locus tracks from bigWig files in R

SIAH ubiquitin E3 ligases as modulators of inflammatory gene expression

Trackplot: a fast and lightweight R script for epigenomic enrichment plots


Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

DeepBedMap: Using a deep neural network to better resolve the bed topography of Antarctica

EGU General Assembly Conference Abstracts


DCT (discrete cosine transform) functions for pytorch

Viewmaker Networks: Learning Views for Unsupervised Representation Learning

Language Through a Prism: A Spectral Approach for Multiscale Language Representations

Frequency Domain-based Dataset Distillation

Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy

Separable Layers Enable Structured Efficient Linear Substitutions


Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

Generator Versus Segmentor: Pseudo-healthy Synthesis

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

Generative Adversarial Networks and Other Generative Models

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields


Creative Commons Attribution 4.0 International

Room-across-Room (RxR) is a large-scale, multilingual dataset for Vision-and-Language Navigation (VLN) in Matterport3D environments. It contains 126k navigation instructions in English, Hindi and Telugu, and 126k navigation following demonstrations. Both annotation types include dense spatiotemporal alignments between the text and the visual perceptions of the annotators

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

On Evaluation of Embodied Navigation Agents

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

Less is More: Generating Grounded Navigation Instructions from Landmarks

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning


Attention Is All You Need

Character-level Convolutional Networks for Text Classification

Very Deep Convolutional Networks for Text Classification

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer


Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

A Simple Language Model for Task-Oriented Dialogue

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Efficient Dialogue State Tracking by Selectively Overwriting Memory

KLUE: Korean Language Understanding Evaluation

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Controllable Dialogue Simulation with In-Context Learning

Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Attention Guided Dialogue State Tracking with Sparse Supervision


Semantic similarity metrics for image registration

DeepSim: Semantic similarity metrics for learned image registration


parallel fastq-dump wrapper

A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference

Salmonella Genomic Island 1 is Broadly Disseminated within Gammaproteobacteriaceae

A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery

Multidrug-Resistant Lineage of Enterotoxigenic Escherichia coli ST182 With Serotype O169:H41 in Airline Waste

Quantifying and Cataloguing Unknown Sequences within Human Microbiomes

BarleyExpDB: an integrative gene expression database for barley

Hallmarks of Retroelement Expression in T-Cells Treated With HDAC Inhibitors

The Expression of the Immunoproteasome Subunit PSMB9 Is Related to Distinct Molecular Subtypes of Uterine Leiomyosarcoma

Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease

Insight into pathogenomics and phylogeography of hypervirulent and highly-lethal Mycobacterium tuberculosis strain cluster


A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models


CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

Pluripotency and the origin of animal multicellularity

Systematic comparative analysis of single cell RNA-sequencing methods

Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells

Characterizing smoking-induced transcriptional heterogeneity in the human bronchial epithelium at single-cell resolution

WDR5, BRCA1, and BARD1 Co-regulate the DNA Damage Response and Modulate the Mesenchymal-to-Epithelial Transition during Early Reprogramming

Gene regulatory patterning codes in early cell fate specification of the C. elegans embryo

Infection by the parasite Myxobolus bejeranoi (Cnidaria: Myxozoa) suppresses the immune system of hybrid tilapia

Interdependent photo- and chemosensory systems regulate larval settlement in a marine sponge


Tools for generating mini-ImageNet dataset and processing batches

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

TADAM: Task dependent adaptive metric for improved few-shot learning

Meta-Transfer Learning for Few-Shot Learning

ImageNet Large Scale Visual Recognition Challenge

Adversarial Generation of Continuous Images

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

PAC Prediction Sets for Meta-Learning

Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation


(Linear-chain) Conditional random field in PyTorch.

NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques

Meeting of the Association for Computational Linguistics

Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels

Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL

New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities

International Conference on Computational Linguistics

DeepZensols: Deep Natural Language Processing Framework


Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

FACMAC: Factored Multi-Agent Centralised Policy Gradients

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning

Attacking c-MARL More Effectively: A Data Driven Approach

Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning


Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).

GraphHD: Efficient graph classification using hyperdimensional computing

Learning from Hypervectors: A Survey on Hypervector Encoding

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing


MoleculeX: a new and rapidly growing suite of machine     learning methods and software tools for molecule exploration

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks


Python Vietnamese Core NLP Toolkit

UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning

Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022


Digital Phase-locked-loop software for Locking a Frequency Comb using a Red Pitaya

An open and flexible digital phase-locked loop for optical metrology

A versatile digital approach to laser frequency comb stabilization

Digital Doppler-Cancellation Servo for Ultrastable Optical Frequency Dissemination Over Fiber


Dreem One Shot Detector

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal

A deep learning architecture to detect events in EEG signals during sleep

AI vs Humans for the diagnosis of sleep apnea


Simple tools to work with the Initial Mass Function

Improving the open cluster census

S^5: Probing the Milky Way and Magellanic Clouds potentials with the 6-D map of the Orphan-Chenab stream

Population synthesis of accreting white dwarfs: rates and evolutionary pathways of H and He novae

The Radcliffe wave as the gas spine of the Orion arm

Demographics of Protoplanetary Disks: A Simulated Population of Edge-on Systems

Faint Stars in a Faint Galaxy. II. The Low-mass Stellar Initial Mass Function of the Boötes I Ultrafaint Dwarf Spheroidal Galaxy

CMZoom. IV. Incipient High-mass Star Formation throughout the Central Molecular Zone

Monoceros OB4: a new association in Gaia DR2

Monthly Notices of the Royal Astronomical Society: Letters

Clustered Formation of Massive Stars within an Ionized Rotating Disk


Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

Time-optimal control of the race car: a numerical method to emulate the ideal driver

Minimum time optimal control simulation of a GP2 race car

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Optimal tyre usage for a Formula One car

Lap time optimisation of a racing go-kart

A Symbolic Approach to the Multibody Modeling of Road Vehicles

International Journal of Applied Mechanics


a tool to generate skeleton applications that mimic a real applications' parallel or distributed performance at a task level

Software Citation Implementation Challenges

Parallelizing the execution of sequential scripts

IEEE International Conference on High Performance Computing, Data, and Analytics

Application skeletons: Construction and use in eScience

Using Application Skeletons to Improve eScience Infrastructure

Application Skeleton v1.2

IEEE International Conference on eScience


A 10000+ hours dataset for Chinese speech recognition

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets

Automatic Prosody Annotation with Pre-Trained Text-Speech Model


Software for selective inference

Adaptive p-values after cross-validation

Inferactive data analysis

Inference After Selecting Plausibly Valid Instruments with Application to Mendelian Randomization

Black-box Selective Inference via Bootstrapping

An Exact Sampler for Inference after Polyhedral Model Selection


Diffprivlib: The IBM Differential Privacy Library

Differentially private random decision forests using smooth sensitivity

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Secure Random Sampling in Differential Privacy

Training Differentially Private Models with Secure Multiparty Computation

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Apache OpenWhisk Composer provides a high-level programming model in JavaScript for composing serverless functions

Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture

Towards Demystifying Intra-Function Parallelism in Serverless Computing

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Standards‐based modeling and deployment of serverless function orchestrations using BPMN and TOSCA

Zenix: Efficient Execution of Bulky Serverless Applications


A Thai word tokenization library using Deep Neural Network

Syllable-based Neural Thai Word Segmentation

Word Similarity Datasets for Thai: Construction and Evaluation

Multiple Segmentations of Thai Sentences for Neural Machine Translation

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information

Thai Wav2Vec2.0 with CommonVoice V8

Lukthung Classification Using Neural Networks on Lyrics and Audios


Create and maintain phylogenetic "reference packages" of biological sequences.

Rapid 16S rRNA Next-Generation Sequencing of Polymicrobial Clinical Samples for Diagnosis of Complex Bacterial Infections

Species-Level Analysis of DNA Sequence Data from the NIH Human Microbiome Project

Mercury methylating microbial communities of boreal forest soils

An Improved hgcAB Primer Set and Direct High-Throughput Sequencing Expand Hg-Methylator Diversity in Nature

Reconciling taxonomy and phylogenetic inference: formalism and algorithms for describing discord and inferring taxonomic roots

SCAMPP: Scaling Alignment-Based Phylogenetic Placement to Large Trees

IEEE/ACM transactions on computational biology and bioinformatics

Revisiting Microbial Diversity in Hypersaline Microbial Mats from Guerrero Negro for a Better Understanding of Methanogenic Archaeal Communities

metaXplor: an interactive viral and microbial metagenomic data manager

BATCH-SCAMPP: Scaling phylogenetic placement methods to place many sequences

Disentangling hindgut metabolism in the American cockroach through single-cell genomics and metatranscriptomics


CBE Thermal Comfort Tool for ASHRAE-55

comf: An R Package for Thermal Comfort Studies


Modular Analysis and Reconstruction for the LINear Collider

Towards a muon collider

Simulated Detector Performance at the Muon Collider

Searching for Majorana neutrinos at a same-sign muon collider

Status of ILD new 250 GeV common MC sample production.

Experimentation at a muon collider

Prospects for the Measurement of the Standard Model Higgs Pair Production at the Muon Colliders

The mini-DST: a high-level LCIO format


Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya


A unified evaluation framework for large language models

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

PromptBench: A Unified Library for Evaluation of Large Language Models

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing
  Agents

Open Problems in Technical AI Governance

Stealthy Attack on Large Language Model based Recommendation

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models


Span-based system for named entity, relation, and event extraction.

Entity, Relation, and Event Extraction with Contextualized Span Representations

A Joint Neural Model for Information Extraction with Global Features

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Evaluating progress in automatic chest X-ray radiology report generation

Gradual Fine-Tuning for Low-Resource Domain Adaptation

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Language Model Priming for Cross-Lingual Event Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model


GPstuff - Gaussian process models for Bayesian analysis

When Gaussian Process Meets Big Data: A Review of Scalable GPs

Pareto Smoothed Importance Sampling

Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox

Understanding and Comparing Scalable Gaussian Process Regression for Big Data


Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Procedural Content Generation via Machine Learning (PCGML)

Tile pattern KL-divergence for analysing and evolving game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Addressing the Fundamental Tension of PCGML with Discriminative Learning

Procedural generation using quantum computation

International Conference on the Foundations of Digital Games

On Mixed-Initiative Content Creation for Video Games

Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset

Generating Paths with WFC

Virtual and Real Body Experience Comparison Using Mixed Reality Cycling Environment

Extend Wave Function Collapse to Large-Scale Content Generation

DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft


Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation

Racial and Gender Disparities among Evicted Americans

At‐Large Elections and Minority Representation in Local Government

Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements

Enhancing Race and Ethnicity using Bayesian Imputation in an All Payer Claims Database


A set of utilities for exploring Solidity contracts

Slither: A Static Analysis Framework For Smart Contracts

International Workshop on Emerging Trends in Software Engineering for Blockchain

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media

Exploring Security Practices of Smart Contract Developers


What you need to process the Quarterly DepMap-Omics releases from Terra

Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer

Citrullination of pyruvate kinase M2 by PADI1 and PADI3 regulates glycolysis and cancer cell proliferation

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Leukemia core transcriptional circuitry is a sparsely interconnected hierarchy stabilized by incoherent feed-forward loops

bioRxiv : the preprint server for biology


Layer Normalization

DropBlock: A regularization method for convolutional networks

Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Discovering physical concepts with neural networks

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

Robust Federated Learning with Noisy and Heterogeneous Clients


Extend cloud computing, data and service seamlessly to edge devices.

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

Fog Function: Serverless Fog Computing for Data Intensive IoT Services

Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

Computing Power Network: A Survey

Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network


Bayesian Light Source Separator

Variational Inference for Deblending Crowded Starfields


Peer-to-peer hypermedia protocol

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange

Blockchain and Property in 2018: At the End of the Beginning

Innovations: Technology, Governance, Globalization

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms

IEEE Transactions on Network and Service Management

A Controllable Secure Blockchain-Based Electronic Healthcare Records Sharing Scheme

Trustable and Automated Machine Learning Running with Blockchain and Its Applications

Content Sharing Network based on IPFS and Blockchain

IOP Conference Series: Materials Science and Engineering

The Benefits of Deploying Smart Contracts on Trusted Third Parties


Internet-Drafts that make up the base QUIC specification

Workshop in Information Security Theory and Practice

Observing the Evolution of QUIC Implementations

Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC

Beyond socket options: making the Linux TCP stack truly extensible

FlEC: Enhancing QUIC With Application-Tailored Reliability Mechanisms

Performance of QUIC Implementations Over Geostationary Satellite Links

Robust QUIC: Integrating Practical Coding in a Low Latency Transport Protocol

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

Adding Forward Erasure Correction to QUIC

ECN with QUIC: Challenges in the Wild

Proceedings of the 2023 ACM on Internet Measurement Conference


GCE (genomic charactor estimator) is a bayes model based method to estimate the  genome size, genomic repeat content and the heterozygsis rate of the sequencing sample. The estimated result  can be used to design the sequencing strategy.

Estimation of genomic characteristics by analyzing k-mer frequency in de novo genome projects

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa

Chromosome-Level Genome Assembly Provides New Insights into Genome Evolution and Tuberous Root Formation of Potentilla anserina

A chromosome-level reference genome of a Convolvulaceae species Ipomoea cairica

Chromosome-level genomes of seeded and seedless date plum based on third-generation DNA sequencing and Hi-C analysis

Near-chromosomal-level genome of the red palm weevil (Rhynchophorus ferrugineus), a potential resource for genome-based pest control

De Novo Genome Assembly of the Whitespot Parrotfish (Scarus forsteni): A Valuable Scaridae Genomic Resource


Wrecking sandwich traders for fun and profit

Price of MEV: Towards a Game Theoretical Approach to MEV

DeFi and NFTs Hinder Blockchain Scalability

Do not rug on me: Zero-dimensional Scam Detection

Why Trick Me: The Honeypot Traps on Decentralized Exchanges

Proceedings of the 2023 Workshop on Decentralized Finance and Security

Towards Optimal Prior-Free Permissionless Rebate Mechanisms, with applications to Automated Market Makers & Combinatorial Orderflow Auctions


Solves the GMMNLSE in MATLAB for pulse propagation in multimode fiber, with an efficient GPU implementation

Multimode Nonlinear Fiber Optics: Massively Parallel Numerical Solver, Tutorial, and Outlook

IEEE Journal of Selected Topics in Quantum Electronics

Spatiotemporal Mode-Locking in Lasers with Large Modal Dispersion

Wavelength-tunable mode-locked Yb-doped fiber laser based on nonlinear Kerr beam clean-up effect

Parallelization of the Generalized Multimode Nonlinear Schrödinger Equation Solver: A Performance Analysis

Communications in computer and information science


using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Computational Approaches and Challenges in Spatial Transcriptomics

基因组蛋白质组与生物信息学报

Analysis and Visualization of Spatial Transcriptomic Data

GCNG: Graph convolutional networks for inferring cell-cell interactions


Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

On Centralized Critics in Multi-Agent Reinforcement Learning


Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

A Corpus for Reasoning About Natural Language Grounded in Photographs

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Can you fool AI with adversarial examples on a visual Turing test

Mimic and Fool: A Task-Agnostic Adversarial Attack

IEEE transactions on neural networks and learning systems

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool

Language Features Matter: Effective Language Representations for Vision-Language Tasks

Probing Cross-Modal Representations in Multi-Step Relational Reasoning

Workshop on Representation Learning for NLP


CBAM implementation on TensowFlow

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

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

Aggregated Residual Transformations for Deep Neural Networks


Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation

NVBitFI: Dynamic Fault Injection for GPUs

Enabling Software Resilience in GPGPU Applications via Partial Thread Protection

Characterizing a Neutron-Induced Fault Model for Deep Neural Networks

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights


Multi-level Feature Learning for Contrastive Multi-view Clustering

Efficient Solvers for Wyner Common Information with Application to
  Multi-Modal Clustering


An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)

Universal and Transferable Adversarial Attacks on Aligned Language Models

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Fast Adversarial Attacks on Language Models In One GPU Minute


Utilizing Deep Learning to detect COVID-19 and Viral Pneumonia from x-ray images

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

A Deep Learning Approach for COVID-19 8 Viral Pneumonia Screening with X-ray Images

Digital Government Research and Practice


Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach

Findings of the Association for Computational Linguistics: ACL 2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce


(WIP) best-practices workflow for rare disease

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

Twelve years of SAMtools and BCFtools

Nextflow enables reproducible computational workflows

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

A universal SNP and small-indel variant caller using deep neural networks

BCFtools/csq: haplotype-aware variant consequences

HTSlib: C library for reading/writing high-throughput sequencing data

igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV)

Paragraph: A graph-based structural variant genotyper for short-read sequence data

A unified haplotype-based method for accurate and comprehensive variant calling


PyTorch implementation of Trust Region Policy Optimization

Trust Region Policy Optimization

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

Transfer Reinforcement Learning Across Homotopy Classes

Self-Imitation Learning from Demonstrations

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Learning to Constrain Policy Optimization with Virtual Trust Region


Human Emotion Understanding using multimodal dataset.

Attention Is All You Need

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Context-Aware Emotion Recognition Networks

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning


Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"

Self-Discriminative Learning for Unsupervised Document Embedding

North American Chapter of the Association for Computational Linguistics

Coherence-Based Distributed Document Representation Learning for Scientific Documents


Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

Refining the Transit-timing and Photometric Analysis of TRAPPIST-1: Masses, Radii, Densities, Dynamics, and Ephemerides

Modeling the Formation of the Family of the Dwarf Planet Haumea

Relativistic Effects in Orbital Motion of the S-Stars at the Galactic Center

A plausible link between dynamically unsettled molecular gas and the radio jet in NGC 6328


SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

Zenodo (CERN European Organization for Nuclear Research)

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

Ensembling Graph Predictions for AMR Parsing

AMR-DA: Data Augmentation by Abstract Meaning Representation

Multilingual AMR Parsing with Noisy Knowledge Distillation

Hierarchical Curriculum Learning for AMR Parsing

SPRING Goes Online: End-to-End AMR Parsing and Generation

AMR-TST: Abstract Meaning Representation-based Text Style Transfer

Findings of the Association for Computational Linguistics: ACL 2023

Multilingual Abstract Meaning Representation for Celtic Languages

Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)


OCR-free Document Understanding Transformer

Spatial Dependency Parsing for Semi-Structured Document Information Extraction


Code for calculating the sensitivity of 21cm experiments to the EoR power spectrum

Hydrogen Epoch of Reionization Array (HERA)

Publications of the Astronomical Society of the Pacific

21CMMC: an MCMC analysis tool enabling astrophysical parameter studies of the cosmic 21 cm signal

Monthly Notices of the Royal Astronomical Society

Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

Eliminating the optical depth nuisance from the CMB with 21 cm cosmology

The Evolution Of 21 cm Structure (EOS): public, large-scale simulations of Cosmic Dawn and reionization

THE MURCHISON WIDEFIELD ARRAY 21 cm POWER SPECTRUM ANALYSIS METHODOLOGY

REDUNDANT ARRAY CONFIGURATIONS FOR 21 cm COSMOLOGY

21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn

Constraining the primordial black hole abundance with 21-cm cosmology

Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC

Proceedings of the International Astronomical Union


Unifying cancer and normal RNA sequencing data from different sources

Lead DEAD/H box helicase biomarkers with the therapeutic potential identified by integrated bioinformatic approaches in lung cancer

Computational and structural biotechnology journal

Comprehensive analysis reveals signal and molecular mechanism of mitochondrial energy metabolism pathway in pancreatic cancer

Enabling cross-study analysis of RNA-Sequencing data

TROP2 is highly expressed in triple-negative breast cancer CTCs and is a potential marker for epithelial mesenchymal CTCs


The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.

FSD50K: An Open Dataset of Human-Labeled Sound Events


Zero-Shot Entity Linking by Reading Entity Descriptions

Neural Entity Linking: A Survey of Models Based on Deep Learning

Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas

Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information

International Conference on Computational Linguistics

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking

Improving Zero-Shot Entity Retrieval through Effective Dense Representations

A Read-and-Select Framework for Zero-shot Entity Linking

Selecting Key Views for Zero-Shot Entity Linking

Findings of the Association for Computational Linguistics: EMNLP 2023


Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence

Open-world Machine Learning: Applications, Challenges, and Opportunities

Unseen Class Discovery in Open-world Classification

An Effective Baseline for Robustness to Distributional Shift

Deep Learning Based Open Set Acoustic Scene Classification

torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python


An Automated Fortran Code Refactoring Tool to Facilitate Acceleration of Numerical Simulations

Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs


R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies

Natural variation in C. elegans arsenic toxicity is explained by differences in branched chain amino acid metabolism

The impact of species-wide gene expression variation on Caenorhabditis elegans complex traits

Natural variation in fecundity is correlated with species-wide levels of divergence in Caenorhabditis elegans

sparsegl: An R Package for Estimating Sparse Group Lasso


SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis


Democratizing Domain-Specific Computing

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks

Allo: A Programming Model for Composable Accelerator Design

Proceedings of the ACM on Programming Languages


Predicting plasmid contigs from assemblies using single copy marker genes, plasmid genes, kmers - Developed by Linda van der Graaf

Antimicrobial Resistance in Salmonella enterica Serovar Paratyphi B Variant Java in Poultry from Europe and Latin America

Re-Emergence of Salmonellosis in Hog Farms: Outbreak and Bacteriological Characterization

Genetic Background and Antibiotic Resistance Profiles of K. pneumoniae NDM-1 Strains Isolated from UTI, ABU, and the GI Tract, from One Hospital in Poland, in Relation to Strains Nationally and Worldwide


Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction

Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction


Jena Atomic Calculator

A fresh computational approach to atomic structures, processes and cascades

Atomic Cascade Computations

Dielectronic recombination strengths and plasma rate coefficients of multiply charged ions

Approximate Atomic Green Functions

Symbolic Evaluation of Expressions from Racah's Algebra

Photon Emission from Hollow Ions Near Surfaces


Offical Implementation for PalmTree

PalmTree: Learning an Assembly Language Model for Instruction Embedding

Conference on Computer and Communications Security

XFL: Naming Functions in Binaries with Extreme Multi-label Learning

UniASM: Binary Code Similarity Detection without Fine-tuning


Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

Benchmarking and survey of explanation methods for black box models

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Accountability by design in technology research

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

Identification, explanation and clinical evaluation of hospital patient subtypes


Cooperative Vision-and-Dialog Navigation

Vision-and-Dialog Navigation

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

ESceme: Vision-and-Language Navigation with Episodic Scene Memory


8th place solution to Zindi's FarmPin Crop Detection Challenge

mixup: Beyond Empirical Risk Minimization

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Tile2Vec: Unsupervised representation learning for spatially distributed data


Source code for ACL 2019 paper "GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification"

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

Graph Sequential Network for Reasoning over Sequences

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification


PowerJoular allows monitoring power consumption of multiple platforms and processes.

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem


State-of-the-art bilingual open-sourced Math reasoning LLMs.

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

InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

Lean Workbook: A large-scale Lean problem set formalized from natural
  language math problems

Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning

LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover


EEG Pre-Processing Pipeline

HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings

The HAPPE plus Event-Related (HAPPE+ER) software: A standardized preprocessing pipeline for event-related potential analyses

The HAPPE plus Event-Related (HAPPE+ER) Software: A Standardized Processing Pipeline for Event-Related Potential Analyses

HAPPILEE: The Harvard Automated Processing Pipeline In Low Electrode Electroencephalography, a standardized software for low density EEG and ERP data


Hypothesis Prioritisation in multi-trait Colocalization

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci

基因组蛋白质组与生物信息学报

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

A robust and efficient method for Mendelian randomization with hundreds of genetic variants: unravelling mechanisms linking HDL-cholesterol and coronary heart disease

Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease

Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci

medRxiv : the preprint server for health sciences

Genetic control of body weight by the human brain proteome

A Trans-Omic Mendelian Randomization Study of Parental Lifespan Uncovers Novel Aging Biology and Drug Candidates for Human Healthspan Extension


Milky Way Streams Footprint Library and Toolkit for Python

Streams, Substructures, and the Early History of the Milky Way

Annual Review of Astronomy and Astrophysics

Fourteen candidate RR Lyrae star streams in the inner Galaxy

Chemo-kinematics of the Gaia RR Lyrae: the halo and the disc

Overview of the DESI Milky Way Survey

galstreams: A Library of Milky Way Stellar Stream Footprints and Tracks

Implications of Milky Way substructures for the nature of dark matter

The Milky Way's stellar streams and globular clusters do not align in a Vast Polar Structure

Discovery of Extended Tidal Tails around the Globular Cluster Palomar 13

Mapping Gaia Parallax Systematic Errors over the Sky with Faint Milky Way Stars

The torsion of stellar streams and the overall shape of galactic gravity's source


SnapperDB: A database solution for routine sequencing analysis of bacterial isolates

Genomic approaches used to investigate an atypical outbreak of Salmonella Adjame

Characterization of Genetically Modified Microorganisms Using Short- and Long-Read Whole-Genome Sequencing Reveals Contaminations of Related Origin in Multiple Commercial Food Enzyme Products


Download and Visualize Essential Global Heating Data in R


Script for parsing SAM/BAM files for coverage statistics

Genome Sequencing of SARS-CoV-2 Allows Monitoring of Variants of Concern through Wastewater

“Frozen evolution” of an RNA virus suggests accidental release as a potential cause of arbovirus re-emergence

Bacteriophages Roam the Wheat Phyllosphere

Metaviromics Reveals Unknown Viral Diversity in the Biting Midge Culicoides impunctatus

Plastomes of Garcinia mangostana L. and Comparative Analysis with Other Garcinia Species

Direct Nanopore Sequencing of Human Cytomegalovirus Genomes from High-Viral-Load Clinical Samples

Evolutionary stasis of an RNA virus indicates arbovirus re-emergence triggered by accidental release


A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs

SOSTOOLS Version 4.00 Sum of Squares Optimization Toolbox for MATLAB

Verifying Switched System Stability With Logic

International Conference on Hybrid Systems: Computation and Control

Sparse Identification of Nonlinear Dynamics with Side Information (SINDy-SI)

Sufficient Stability Conditions for a Class of Switched Systems With Multiple Steady States

On Solving MAX-SAT Using Sum of Squares

Strengthening SONC Relaxations with Constraints Derived from Variable Bounds

Algorithmic construction of Lyapunov functions for continuous vector fields via convex semi-infinite programs


3.41% and 17.11% error on CIFAR-10 and CIFAR-100

A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data

IEEE Transactions on Parallel and Distributed Systems

A unified benchmark for the unknown detection capability of deep neural networks


DenseNet implementation in Keras

Densely Connected Convolutional Networks

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Dense and Diverse Capsule Networks: Making the Capsules Learn Better

Analysis and Optimization of Convolutional Neural Network Architectures

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

Fast and Accurate Sparse Coding of Visual Stimuli With a Simple, Ultralow-Energy Spiking Architecture

IEEE transactions on neural networks and learning systems

A novel adaptive learning rate scheduler for deep neural networks.

Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks


Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.

Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling

North American Chapter of the Association for Computational Linguistics

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction

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


Efficient Low-Memory Aligner

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

Meeting of the Association for Computational Linguistics

CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation

One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis

The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services

Nordic Conference of Computational Linguistics

Democratizing Neural Machine Translation with OPUS-MT

Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation

SiLLM: Large Language Models for Simultaneous Machine Translation

Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation

Graph Neural Networks for Multiparallel Word Alignment

Findings of the Association for Computational Linguistics: ACL 2022


Repository for StripedHyena, a state-of-the-art beyond Transformer architecture

Hyena Hierarchy: Towards Larger Convolutional Language Models

Large Language Models: A Survey

Jamba: A Hybrid Transformer-Mamba Language Model

Simple linear attention language models balance the recall-throughput tradeoff

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

From Words to Numbers: Your Large Language Model Is Secretly A Capable
  Regressor When Given In-Context Examples

LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a
  Hybrid Architecture

Does Transformer Interpretability Transfer to RNNs?

Just read twice: closing the recall gap for recurrent language models


The Simons Observatory: Science goals and forecasts

Journal of Cosmology and Astroparticle Physics

Strong Bound on Canonical Ultralight Axion Dark Matter from the Lyman-Alpha Forest

Constraints on dark matter scenarios from measurements of the galaxy luminosity function at high redshifts

Future CMB tests of dark matter: Ultralight axions and massive neutrinos

Ultra-light axions and the S_8 tension: joint constraints from the cosmic microwave background and galaxy clustering

Solitons in the dark: First approach to non-linear structure formation with fuzzy dark matter

Intensity mapping as a probe of axion dark matter

Monthly Notices of the Royal Astronomical Society

Implications of Milky Way substructures for the nature of dark matter

General framework for cosmological dark matter bounds using N -body simulations

Closing the window on fuzzy dark matter with the 21-cm signal


OpenFOAM Foundation development repository

Basic verification of a numerical framework applied to a morphology adaptive multifield two‐fluid model considering bubble motions

International Journal for Numerical Methods in Fluids

Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs

multiRegionFoam -- A Unified Multiphysics Framework for Multi-Region Coupled Continuum-Physical Problems


Deep Learning for audio and text

Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features

A Deep Multimodal Approach for Cold-start Music Recommendation


Tensorized Embedding Layers for Efficient Model Compression

Tensorized Transformer for Dynamical Systems Modeling

MARS: Masked Automatic Ranks Selection in Tensor Decompositions


Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Text Recognition in the Wild: A Survey

Total-Text: toward orientation robustness in scene text detection

International Journal on Document Analysis and Recognition (IJDAR)

Scene Text Detection in Natural Images: A Review

All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection

Scene Text Detection Based on Two-Branch Feature Extraction

A Multi-Scale Natural Scene Text Detection Method Based on Attention Feature Extraction and Cascade Feature Fusion


Mixed graph Laplacian upscaling and solvers

Multilevel spectral coarsening for graph Laplacian problems with application to reservoir simulation

An Aggregation-based Nonlinear Multigrid Solver for Two-phase Flow and Transport in Porous Media

Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems

Computer Methods in Applied Mechanics and Engineering

Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media


MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates

Towards standardisation: comparison of five whole genome sequencing (WGS) analysis pipelines for detection of epidemiologically linked tuberculosis cases

The MAGMA pipeline for comprehensive genomic analyses of clinical Mycobacterium tuberculosis samples

Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana

Comparative Study on Tuberculosis Drug Resistance and Molecular Detection Methods Among Different Mycobacterium Tuberculosis Lineages

Molecular Capture of Mycobacterium tuberculosis Genomes Directly from Clinical Samples: A Potential Backup Approach for Epidemiological and Drug Susceptibility Inferences

International journal of molecular sciences

Tuberculosis Variant with Rifampin Resistance Undetectable by Xpert MTB/RIF, Botswana


This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

Low-Complexity Audio Embedding Extractors

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models


A general and accurate MACs / FLOPs profiler for PyTorch models

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Is Attention Better Than Matrix Decomposition?

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression


LaTeX labels in Mathematica

A recipe for echoes from exotic compact objects

Relativistic corrections to exclusive χ_cJ + γ production
  from e^+ e^- annihilation

Soft-photon corrections to the Bethe-Heitler process in the gamma p -> l(+)l(-)p reaction

Leading order corrections to the Bethe-Heitler process in the γ p → l + l − p reaction