OpenCCG library for parsing and realization with CCG

Generating comments from source code with CCGs

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering

Most NLG is Low-Resource: here’s what we can do about it

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)

Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning

International Conference on Natural Language Generation


Plotting tool for brain atlases, in ggplot

Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women

Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns

Brain network mapping and glioma pathophysiology

Structural Brain Correlates of the Externalizing Spectrum in Young Adults


Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

Deformable Convolutional Networks

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Understanding Deformable Alignment in Video Super-Resolution

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution


Tools for conformal inference in regression

Distribution-Free Predictive Inference For Regression

Conformal Prediction Under Covariate Shift

MAPIE: an open-source library for distribution-free uncertainty quantification

Merging uncertainty sets via majority vote

Efficient and minimal length parametric conformal prediction regions

conformalInference.multi and conformalInference.fd: Twin Packages for Conformal Prediction


Trained models with fast variant of the "best" LSTM models + legacy models

Efficient, Lexicon-Free OCR using Deep Learning

An empirical study of CTC based models for OCR of Indian languages

Combining OCR Models for Reading Early Modern Printed Books


Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Clifford Neural Layers for PDE Modeling

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Scalable Transformer for PDE Surrogate Modeling

Geometric Clifford Algebra Networks

Vectorized Conditional Neural Fields: A Framework for Solving
  Time-dependent Parametric Partial Differential Equations

Data efficiency and long term prediction capabilities for neural
  operator surrogate models of core and edge plasma codes

CONFIDE: Contextual Finite Differences Modelling of PDEs


Fast and accurate gene fusion detection from RNA-Seq data

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Enhancer hijacking activates oncogenic transcription factor NR4A3 in acinic cell carcinomas of the salivary glands

The landscape of chromothripsis across adult cancer types

Computational Oncology in the Multi-Omics Era: State of the Art

Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma

Clinical cancer research : an official journal of the American Association for Cancer Research

The international and intercontinental spread and expansion of antimicrobial-resistant Salmonella Typhi: a genomic epidemiology study

Unscrambling cancer genomes via integrated analysis of structural variation and copy number

Next-Generation Sequencing Approaches for the Identification of Pathognomonic Fusion Transcripts in Sarcomas: The Experience of the Italian ACC Sarcoma Working Group

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

NeoFuse: predicting fusion neoantigens from RNA sequencing data


Single object tracking and segmentation.

Rethinking the competition between detection and ReID in Multi-Object Tracking

Learn to Match: Automatic Matching Network Design for Visual Tracking

One More Check: Making "Fake Background" Be Tracked Again

Toward Accurate Pixelwise Object Tracking via Attention Retrieval

Divert More Attention to Vision-Language Tracking

WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking


A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Decoupled Weight Decay Regularization

What do you learn from context? Probing for sentence structure in contextualized word representations

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge

International Conference on Computational Linguistics

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime


Bandwidth Monitor NG is a small and simple console-based live network and disk io bandwidth monitor for Linux, BSD, Solaris, Mac OS X and others.

DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7

Dynamic QoS Management for a Flexible 5G/6G Network Core: A Step toward a Higher Programmability

An Approach to Reinforce Multipath TCP with Path-Aware Information

G-SINC: Global Synchronization Infrastructure for Network Clocks


Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot

Wav2Vec2.0 on the Edge: Performance Evaluation

Optimizing the Deployment of Tiny Transformers on Low-Power MCUs


SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Weakly Supervised Learning of Rigid 3D Scene Flow

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions


Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Machine Learning for Microcontroller-Class Hardware: A Review

Physical Workload Tracking Using Human Activity Recognition with Wearable Devices

Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors

Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?

An Open-Source Tool for Classification Models in Resource-Constrained Hardware

Classical and machine learning methods for event reconstruction in NeuLAND

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP

PROCEEDINGS OF THE IEEE LCN: 2019 44TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2019)

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes

Leveraging Models to Reduce Test Cases in Software Repositories


Illumina analysis pipeline

An organoid biobank for childhood kidney cancers that captures disease and tissue heterogeneity

Somatic Mutations Reveal Lineage Relationships and Age-Related Mutagenesis in Human Hematopoiesis

In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA

Reconstructing single-cell karyotype alterations in colorectal cancer identifies punctuated and gradual diversification patterns

Antiviral treatment causes a unique mutational signature in cancers of transplantation recipients

Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants

Molecular characterization of Barrett’s esophagus at single-cell resolution

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

Somatic alterations compromised molecular diagnosis of DOCK8 hyper-IgE syndrome caused by a novel intronic splice site mutation

A Single Complex Agpat2 Allele in a Patient With Partial Lipodystrophy

Preclinical Application of Conditional Reprogramming Culture System for Laryngeal and Hypopharyngeal Carcinoma

Frontiers in cell and developmental biology


Tools for the analysis of pulsar scintillation data

Precision Orbital Dynamics from Interstellar Scintillation Arcs for PSR J0437–4715

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

Monthly notices of the Royal Astronomical Society

Modelling annual scintillation arc variations in PSR J1643-1224 using the Large European Array for Pulsars

Probing the Local Interstellar Medium with Scintillometry of the Bright Pulsar B1133 + 16

Interstellar interferometry: precise curvature measurement from pulsar secondary spectra

A supernova remnant association for the fast-moving pulsar PSR J0908-4913

Monthly Notices of the Royal Astronomical Society: Letters

Pulsar Double Lensing Sheds Light on the Origin of Extreme Scattering Events

Analysis of the ionized interstellar medium and orbital dynamics of PSR J1909-3744 using scintillation arcs

Orbital Dynamics and Extreme Scattering Event Properties from Long-term Scintillation Observations of PSR J1603−7202

Scintillation Arc from FRB 20220912A

中国科学. 物理学 力学 天文学


A K8s operator to reduce CO2 footprint of your clusters


Oil Production Greenhouse Gas Emissions Estimator


ns3-gym - The Playground for Reinforcement Learning in Networking Research

ns3-gym: Extending OpenAI Gym for Networking Research

Terahertz Meets AI: The State of the Art


Data-driven wavefront-based PSF modelling framework.

Rethinking data-driven point spread function modeling with a differentiable optical model

Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences


Creative Commons Attribution 4.0 International

CIDO: Coronavirus Infectious Disease Ontology

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

bioRxiv : the preprint server for biology

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19

A community effort for COVID-19 Ontology Harmonization.

Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19

Visual comprehension and orientation into the COVID-19 CIDO ontology

COVID-19 recommender system based on an annotated multilingual corpus

A survey of epidemic management data models

Coordinating virus research: The Virus Infectious Disease Ontology

Distinct RT-PCR diagnosis profiles of father and son patients of COVID-19 using nasopharyngeal and alveolar lavage fluid samples


Deep learning model for predicting environmental variables on river systems


Python library to interface with CATMAID servers. Fully interoperable with navis.

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

A Neural Circuit Arbitrates between Persistence and Withdrawal in Hungry Drosophila

Input Connectivity Reveals Additional Heterogeneity of Dopaminergic Reinforcement in Drosophila

Synaptic targets of photoreceptors specialized to detect color and skylight polarization in Drosophila


Multi-Worm Behaviour Tracker


A Squeak/Smalltalk VM and Polyglot Programming Environment for the GraalVM.

Example-based live programming for everyone: building language-agnostic tools for live programming with LSP and GraalVM

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

GraalSqueak: toward a smalltalk-based tooling platform for polyglot programming

Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes

ICOOOLPS@ECOOP - GraalSqueak: A Fast Smalltalk Bytecode Interpreter Written in an AST Interpreter Framework

Implementation, Compilation, Optimization of Object-Oriented Languages, Programs and Systems

Programming - PolyJuS: a Squeak/Smalltalk-based polyglot notebook system for the GraalVM

Proceedings of the Conference Companion of the 3rd International Conference on Art, Science, and Engineering of Programming

Language-independent development environment support for dynamic runtimes

PROCEEDINGS OF THE 15TH ACM SIGPLAN INTERNATIONAL SYMPOSIUM ON DYNAMIC LANGUAGES (DLS '19)

User-defined interface mappings for the GraalVM

International Conference on the Art, Science and Engineering of Programming

Polyglot code finder

Efficient implementation of Smalltalk activation records in language implementation frameworks

Programming - Let them fail: towards VM built-in behavior that falls back to the program


An online tool for forest management scenario planning


Python meteor physics library developed by the Western Meteor Physics Group.

Estimating trajectories of meteors: an observational Monte Carlo approach – I. Theory

Estimating trajectories of meteors: an observational Monte Carlo approach – II. Results

The Winchcombe Fireball -- that Lucky Survivor

Computing optical meteor flux using global meteor network data

A dynamical analysis of the Taurid Complex: evidence for past orbital convergences

Direct measurement of decimetre-sized rocky material in the Oort cloud

Iron Rain: measuring the occurrence rate and origin of small iron meteoroids at Earth

τ Herculid meteor shower in the night of 30/31 May 2022 and the meteoroid properties

Comparing the dynamics of Jupiter-family Comets and comet-like fireballs


Survival analysis with PyTorch

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Time-to-Event Prediction with Neural Networks and Cox Regression

A scalable discrete-time survival model for neural networks

Continuous and Discrete-Time Survival Prediction with Neural Networks

Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

Prediction of prognostic risk factors in hepatocellular carcinoma with transarterial chemoembolization using multi-modal multi-task deep learning

SurvTRACE: Transformers for Survival Analysis with Competing Events

Gradient boosting survival tree with applications in credit scoring

Journal of the Operational Research Society

Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis

Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models


Simple DAOPHOT-type photometry in Python translated from IDL AstroLib photometry algorithms.  Please email me with bugs, suggestions, omissions, etc.  The code is citable as part of the Astrophysics Source Code Library (http://ascl.net/1501.010).

DEJA VU ALL OVER AGAIN: THE REAPPEARANCE OF SUPERNOVA REFSDAL

ILLUMINATING A DARK LENS: A TYPE Ia SUPERNOVA MAGNIFIED BY THE FRONTIER FIELDS GALAXY CLUSTER ABELL 2744

SN REFSDAL: PHOTOMETRY AND TIME DELAY MEASUREMENTS OF THE FIRST EINSTEIN CROSS SUPERNOVA

Searching for Highly Magnified Stars at Cosmological Distances: Discovery of a Redshift 0.94 Blue Supergiant in Archival Images of the Galaxy Cluster MACS J0416.1-2403

Two Peculiar Fast Transients in a Strongly Lensed Host Galaxy

The Magnificent Five Images of Supernova Refsdal: Time Delay and Magnification Measurements

GRAWITA: VLT Survey Telescope observations of the gravitational wave sources GW150914 and GW151226

An Independent Determination of the Distance to Supernova SN 1987A by Means of the Light Echo AT 2019xis

Target-of-Opportunity Observation Detectability of Kilonovae with WFST

Linear and Circular Polarimetry of the Optically Bright Relativistic Tidal Disruption Event AT 2022cmc


Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks


Battenberg algorithm and associated implementation script

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

APOBEC3-dependent kataegis and TREX1-driven chromothripsis during telomere crisis

Spatial genomics maps the structure, nature and evolution of cancer clones

Tumor to normal single cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

Comprehensive molecular comparison of BRCA1 hypermethylated and BRCA1 mutated triple negative breast cancers

Prostate cancer evolution from multilineage primary to single lineage metastases with implications for liquid biopsy

Single cell derived mRNA signals across human kidney tumors

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

Quantifying the influence of mutation detection on tumour subclonal reconstruction


Partial Volume Correction in PET

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme

Clinica: an open source software platform for reproducible clinical neuroscience studies

Choroid Plexus Enlargement in Inflammatory Multiple Sclerosis: 3.0-T MRI and Translocator Protein PET Evaluation

Disentangling the effects of Alzheimer’s and small vessel disease on white matter fibre tracts

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Pypes: Workflows for Processing Multimodal Neuroimaging Data

Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer's Disease

Error propagation analysis of seven partial volume correction algorithms for [18F]THK-5351 brain PET imaging


Reformer, the efficient Transformer, in Pytorch

Reformer: The Efficient Transformer

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

Learning to Unknot

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors

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


automated photometry pipeline for small to medium-sized observatories

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry

VaST: a variability search toolkit

High Confidence Optical Confirmations among the High Signal-to-noise Planck Cluster Candidates


The repository for the Sustainable Development Goals Interface Ontology

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Context Is Everything: Harmonization of Critical Food Microbiology Descriptors and Metadata for Improved Food Safety and Surveillance

Deep Learning Based Multi-Label Text Classification of UNGA Resolutions

International Conference on Theory and Practice of Electronic Governance

Ontologies for geospatial information: Progress and challenges ahead


This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Cross-Lingual Sentiment Analysis Without (Good) Translation

Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation

International Conference on Computational Linguistics

Strong Baselines for Complex Word Identification across Multiple Languages

Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models

ModelDiff: A Framework for Comparing Learning Algorithms

FilteredWeb: A Framework for the Automated Search-Based Discovery of Blocked URLs

FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping

Understanding Script-Mixing: A Case Study of Hindi-English Bilingual Twitter Users

Workshop on Computational Approaches to Code Switching

Textwash -- automated open-source text anonymisation


VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

Heterogeneous Multi-Robot Reinforcement Learning

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning


Extended state-space SIR epidemiological models

Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

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

A comparison of five epidemiological models for transmission of SARS-CoV-2 in India

New Approach to Policy Effectiveness for Covid-19 and Factors Influence Policy Effectiveness


Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.

Hamiltonian Learning and Certification Using Quantum Resources

Quantum Hamiltonian learning using imperfect quantum resources

Accelerated randomized benchmarking

Quantum model averaging


Yet Another Fog Simulator (YAFS)

YAFS: A simulator for IoT scenarios in fog computing

Availability-Aware Service Placement Policy in Fog Computing Based on Graph Partitions

Optimization policy for file replica placement in fog domains

Concurrency and Computation: Practice and Experience

Simulation Tools for Fog Computing: A Comparative Analysis


Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments

Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations

Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name?

Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.0: an open-
source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous space-state formulations


An opt-in digital jurisdiction for DAOs and sovereign individuals

When Ostrom Meets Blockchain: Exploring the Potentials of Blockchain for Commons Governance

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

A Blockchain-Supported Framework for Charging Management of Electric Vehicles

Emergent Outcomes of the veToken Model

An intrinsic integrity-driven rating model for a sustainable reputation system


An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Symmetric Metric Learning with Adaptive Margin for Recommendation

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

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

IEEE transactions on neural networks and learning systems

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

Multi-Facet Recommender Networks with Spherical Optimization


Transcript assembly and quantification for RNA-Seq

StringTie enables improved reconstruction of a transcriptome from RNA-seq reads

Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

Transcriptome assembly from long-read RNA-seq alignments with StringTie2

CHESS: a new human gene catalog curated from thousands of large-scale RNA sequencing experiments reveals extensive transcriptional noise

Improved transcriptome assembly using a hybrid of long and short reads with StringTie

Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Transcriptome Profile Analysis of Strawberry Leaves Reveals Flowering Regulation under Blue Light Treatment

Mutant U2AF1-induced alternative splicing of H2afy (macroH2A1) regulates B-lymphopoiesis in mice

Efficacy of pembrolizumab and comprehensive CD274/PD-L1 profiles in patients previously treated with chemoradiation therapy as radical treatment in bladder cancer


Utility for behavioral and representational analyses of Language Models

minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models

A Better Way to Do Masked Language Model Scoring

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models

Language model acceptability judgements are not always robust to context

Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently


An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

CybORG: A Gym for the Development of Autonomous Cyber Agents

Autonomous Penetration Testing Based on Improved Deep Q-Network

DroidRL: Feature selection for android malware detection with reinforcement learning

Incorporating Deception into CyberBattleSim for Autonomous Defense

Can Large Language Models Find And Fix Vulnerable Software?

Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security

NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios

Inroads into Autonomous Network Defence using Explained Reinforcement Learning

Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach

Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security


Batch balanced KNN

BBKNN: fast batch alignment of single cell transcriptomes

Mapping systemic lupus erythematosus heterogeneity at the single-cell level

Computational methods for the integrative analysis of single-cell data

Fast Batch Alignment of Single Cell Transcriptomes Unifies Multiple Mouse Cell Atlases into an Integrated Landscape

A novel approach to remove the batch effect of single-cell data

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences

Expression quantitative trait locus studies in the era of single-cell omics


A Python toolkit of the BOP benchmark for 6D object pose estimation.

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

BOP: Benchmark for 6D Object Pose Estimation

BOP Challenge 2020 on 6D Object Localization

Pose Estimation of Specific Rigid Objects

Extending 6D Object Pose Estimators for Stereo Vision


Simple web service providing a word embedding model

A comparison of word embeddings for the biomedical natural language processing

A clinical text classification paradigm using weak supervision and deep representation

BMC medical informatics and decision making

Synchronization in Interpersonal Speech

ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.

Towards Lexical Chains for Knowledge-Graph-based Word Embeddings

Recent Advances in Natural Language Processing

Semantically Enhanced Models for Commonsense Knowledge Acquisition

A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction


VGG19 and VGG16 on Tensorflow

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Localizing and Quantifying Damage in Social Media Images

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

IMF: Interactive Multimodal Fusion Model for Link Prediction

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

International Conference on Software Engineering

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks


A (mostly) universal methylation extractor for BS-seq experiments.

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA

Next-Generation Sequencing Technology: Current Trends and Advancements

Retention of paternal DNA methylome in the developing zebrafish germline

Extensive epigenetic reprogramming during the life cycle of Marchantia polymorpha

Pattern of DNA Methylation in Daphnia: Evolutionary Perspective

SMYD2 promoter DNA methylation is associated with abdominal aortic aneurysm (AAA) and SMYD2 expression in vascular smooth muscle cells

Engineering of Effector Domains for Targeted DNA Methylation with Reduced Off-Target Effects

Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

WEE1 inhibition induces anti-tumor immunity by activating ERV and the dsRNA pathway


Pindel can detect breakpoints of large deletions, medium sized insertions, inversions, tandem duplications and other structural variants at single-based resolution from next-gen sequence data. It uses a pattern growth approach to identify the breakpoints of these variants from paired-end short reads.

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

High performance of targeted next generation sequencing on variance detection in clinical tumor specimens in comparison with current conventional methods

Journal of experimental & clinical cancer research : CR

The clonal evolution of metastatic colorectal cancer

SMaSH: A Benchmarking Toolkit for Human Genome Variant Calling

Loss of functional BAP1 augments sensitivity to TRAIL in cancer cells

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

Whole genome sequencing and its applications in medical genetics

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology

FLT3-ITD Measurable Residual Disease Monitoring in Acute Myeloid Leukemia Using Next-Generation Sequencing


Collection of most color palettes in a single R package

Biotin pathway in novel Fodinibius salsisoli sp. nov., isolated from hypersaline soils and reclassification of the genus Aliifodinibius as Fodinibius

A step into the rare biosphere: genomic features of the new genus Terrihalobacillus and the new species Aquibacillus salsiterrae from hypersaline soils

Genome assembly of three AmazonianMorphobutterfly species reveals Z-chromosome rearrangements between closely-related species living in sympatry


SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts

Datasheets for Datasets

Exchangeable deep neural networks for set-to-set matching and learning

Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts.


Model summary in PyTorch similar to `model.summary()` in Keras

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis

Srifty: Swift and Thrifty Distributed Training on the Cloud

Memory-adaptive Depth-wise Heterogenous Federated Learning

FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks

Reusing Convolutional Neural Network Models through Modularization and Composition

Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer


Spongy Castle - a repackage of Bouncy Castle for Android (which ships a crippled version of BC)

How Reliable is the Crowdsourced Knowledge of Security Implementation?

Secure Audio-Visual Data Exchange for Android In-Vehicle Ecosystems

2FE: Two-Factor Encryption for Cloud Storage


pymgrid is a python library to generate and simulate a large number of microgrids.

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research


The mutational constraint spectrum quantified from variation in 141,456 humans

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Mapping and characterization of structural variation in 17,795 human genomes

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

Transcript expression-aware annotation improves rare variant interpretation

Estimating the selective effects of heterozygous protein-truncating variants from human exome data

MetaPlotR: a Perl/R pipeline for plotting metagenes of nucleotide modifications and other transcriptomic sites

Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation

Genetics in medicine : official journal of the American College of Medical Genetics

Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil


An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

FastSeq: Make Sequence Generation Faster

EL-Attention: Memory Efficient Lossless Attention for Generation


query stats of infected coronavirus cases

Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy

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

Assessing the Impact and Quality of Research Data Using Altmetrics and Other Indicators

Dynamics of epidemic diseases without guaranteed immunity

COVID-19 in a social reinsurance framework: Forewarned is forearmed

Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China


Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Forward and Reverse Gradient-Based Hyperparameter Optimization

Learning Discrete Structures for Graph Neural Networks

Truncated Back-propagation for Bilevel Optimization

A Bridge Between Hyperparameter Optimization and Learning-to-learn

BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning

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

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning


The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration

North American Chapter of the Association for Computational Linguistics

Chat Vector: A Simple Approach to Equip LLMs With New Language Chat Capabilities

Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact

DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection

QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media

ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection

You were saying? -- Spoken Language in the V3C Dataset


TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

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

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

Efficient Intent Detection with Dual Sentence Encoders

New Intent Discovery with Pre-training and Contrastive Learning

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data


Bag of Tricks and A Strong Baseline for Deep Person Re-identification

A Strong Baseline and Batch Normalization Neck for Deep Person Re-Identification

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

How important are faces for person re-identification?

Rethinking Person Re-Identification via Semantic-based Pretraining

Person Re-identification: Implicitly Defining the Receptive Fields of Deep Learning Classification Frameworks

Improving Person Re-Identification with Temporal Constraints


Tools for detecting wildlife in aerial images using active learning

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop


Inference of ploidy and heterozygosity structure using whole genome sequencing data

GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes

Genomic Features of Parthenogenetic Animals

Genome size evolution in the diverse insect order Trichoptera

Maintenance of Species Differences in Closely Related Tetraploid Parasitic Euphrasia (Orobanchaceae) on an Isolated Island

Genomic Resources for Goniozus legneri, Aleochara bilineata and Paykullia maculata, Representing Three Independent Origins of the Parasitoid Lifestyle in Insects

Eukaryotic Adaptation to Years-Long Starvation Resembles that of Bacteria

Intraspecific Variation in Protists: Clues for Microevolution from Poteriospumella lacustris (Chrysophyceae)

Genomic Insights into Cultivated Mexican Vanilla planifolia Reveal High Levels of Heterozygosity Stemming from Hybridization

Amynthas corticis genome reveals molecular mechanisms behind global distribution


Platform for direct visualization, analysis and reporting of soil organic carbon predictions and changes over time.


An application to remove PCR duplicates from high throughput sequencing runs.

Super deduper, fast PCR duplicate detection in fastq files

International Conference on Bioinformatics

Subtyping analysis reveals new variants and accelerated evolution of Clostridioides difficile toxin B

Genomic basis of homoploid hybrid speciation within chestnut trees

The genomics of rapid climatic adaptation and parallel evolution in North American house mice

A Comprehensive Multi-Omic Approach Reveals a Relatively Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda

Mating system is correlated with immunogenetic diversity in sympatric species of Peromyscine mice


C++/python library for simulating FRB's and pulsars

The First CHIME/FRB Fast Radio Burst Catalog

A bright, high rotation-measure FRB that skewers the M33 halo

Monthly Notices of the Royal Astronomical Society

An Injection System for the CHIME/FRB Experiment

A CHIME/FRB Study of Burst Rate and Morphological Evolution of the Periodically Repeating FRB 20180916B

Comprehensive Bayesian analysis of FRB-like bursts from SGR 1935+2154 observed by CHIME/FRB

Flux Calibration of CHIME/FRB Intensity Data


POLAR official tool

POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems

POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems

Bridging Dimensions: Confident Reachability for High-Dimensional Controllers


An R package to facilitate analysis and  visualization of groundwater data from the British Columbia groundwater observation well network


CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Explaining machine learning classifiers through diverse counterfactual explanations

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

Actionable Recourse in Linear Classification

Proceedings of the Conference on Fairness, Accountability, and Transparency

FACE: Feasible and Actionable Counterfactual Explanations

PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Inverse Classification for Comparison-based Interpretability in Machine Learning


Creative Commons Attribution Share Alike 4.0 International

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

RocketRML - A NodeJS implementation of a use-case specific RML mapper

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation


A miniaturized version of the Arcade Learning Environment.

The Arcade Learning Environment: An Evaluation Platform for General Agents

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research

MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments.

Gradient Temporal-Difference Learning with Regularized Corrections

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions


A kernel-density-based, embarrassingly parallel ensemble sampler

Data Analysis Recipes: Using Markov Chain Monte Carlo

The Astrophysical Journal Supplement Series

emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

Inferring probabilistic stellar rotation periods using Gaussian processes

GW190521 May Be an Intermediate-mass Ratio Inspiral

Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing

Parameter estimation with gravitational waves

Ensemble slice sampling

Hierarchical Inference of Binary Neutron Star Mass Distribution and Equation of State with Gravitational Waves

Outlook for detecting the gravitational-wave displacement and spin memory effects with current and future gravitational-wave detectors


Next-Gen Sequencing tools from the Horvath Lab

SCReadCounts: estimation of cell-level SNVs expression from scRNA-seq data

RNA2DNAlign: nucleotide resolution allele asymmetries through quantitative assessment of RNA and DNA paired sequencing data

ReQTL: identifying correlations between expressed SNVs and gene expression using RNA-sequencing data

SCReadCounts: Estimation of cell-level SNVs from scRNA-seq data


AntroPy: entropy and complexity of (EEG) time-series in Python

How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads

Proceedings of the 2023 ACM Symposium on Cloud Computing

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing

Sleep and cognition in aging dogs. A polysomnographic study

The Structure of Chaos: An Empirical Comparison of Fractal Physiology Complexity Indices Using NeuroKit2


Access data and resources hosted by the Atlas of Living Australia (ALA)

The Atlas of Living Australia: History, current state and future directions

Leaf Economic and Hydraulic Traits Signal Disparate Climate Adaptation Patterns in Two Co-Occurring Woodland Eucalypts


Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Actor-Attention-Critic for Multi-Agent Reinforcement Learning

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning

Learning Structured Communication for Multi-agent Reinforcement Learning

Delay-Aware Multi-Agent Reinforcement Learning.

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

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning


General Latent Feature Modeling for Heterogeneous data

Handling Incomplete Heterogeneous Data using VAEs

General Latent Feature Models for Heterogeneous Datasets

General Latent Feature Modeling for Data Exploration Tasks


Version 2 of the minc-toolkit, uses tools based on ITK version 4.x

Large-scale comparative neuroimaging: Where are we and what do we need?

Cortex; a journal devoted to the study of the nervous system and behavior

An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra

Selection for increased tibia length in mice alters skull shape through parallel changes in developmental mechanisms

Ventricular features as reliable differentiators between bvFTD and other dementias

APPIAN: Automated Pipeline for PET Image Analysis

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

The PaleoArchiNeo (PAN) human brain atlas: A dataset on a standard neuroanatomical MRI template following a phylogenetic approach

Ventricle features as reliable differentiators between the bvFTD and other dementias


Open source software for product footprinting.


ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing

Journal of Marine Science and Engineering

A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems

Enhancing CFD predictions in shape design problems by model and parameter space reduction

Advanced Modeling and Simulation in Engineering Sciences

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls

A local approach to parameter space reduction for regression and classification tasks

Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces


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


Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Hierarchical Generation of Molecular Graphs using Structural Motifs

Language models can learn complex molecular distributions

A Model to Search for Synthesizable Molecules

Potent antibiotic design via guided search from antibacterial activity evaluations

Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release

PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning

International journal of molecular sciences


Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity

Intuitive joint priors for Bayesian linear multilevel models: The R2D2M2 prior


Open Climate Repo


Extensive subclonal mutational diversity in human colorectal cancer and its significance

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

Different rates of spontaneous mutation of chloroplastic and nuclear viroids as determined by high-fidelity ultra-deep sequencing

Genome-Wide Estimation of the Spontaneous Mutation Rate of Human Adenovirus 5 by High-Fidelity Deep Sequencing


A lightweight, scalable, and general framework for visual question answering research

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering

Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models

Multimodal Integration of Human-Like Attention in Visual Question Answering

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?

Estimating semantic structure for the VQA answer space

Attention Guided Semantic Relationship Parsing for Visual Question Answering

An experimental study of the vision-bottleneck in VQA


Corner plots, LaTeX tables and plotting walks.

ChainConsumer 0.10.2

Dark matter halos of massive elliptical galaxies at z ∼ 0.2 are
  well described by the Navarro-Frenk-White profile

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

Late-time decaying dark matter: constraints and implications for the H0-tension

Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Sources of H_0-tensions in dark energy scenarios

Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

Testing general relativity on cosmological scales at redshift z ∼ 1.5 with quasar and CMB lensing

H_0 Reconstruction with Type Ia Supernovae, Baryon Acoustic Oscillation and Gravitational Lensing Time-Delay

Testing generalized scalar-tensor theories of gravity with clusters of galaxies


PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Underwater Ranker: Learn Which Is Better and How to Be Better

TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment

PyTorch Image Quality: Metrics for Image Quality Assessment

Content-based Unrestricted Adversarial Attack

HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks

Correlation Matching Transformation Transformers for UHD Image Restoration

Semi-supervised Cycle-GAN for face photo-sketch translation in the wild

Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks


Turn OpenStreetMap data and schedule information into GTFS


NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.

Database resources of the National Center for Biotechnology Information

Genomic Analysis of Diverse EnvironmentalAcinetobacterIsolates Identifies Plasmids, Antibiotic Resistance Genes, and Capsular Polysaccharides Shared with Clinical Strains

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

Genomic Diversity, Antimicrobial Resistance, Plasmidome, and Virulence Profiles of Salmonella Isolated from Small Specialty Crop Farms Revealed by Whole-Genome Sequencing

Optimization of Molecular Methods for Detecting Duckweed-Associated Bacteria

Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets

Resequencing and characterization of the first Corynebacterium pseudotuberculosis genome isolated from camel


CMU US English Dictionary

Instruction Induction: From Few Examples to Natural Language Task Descriptions

SkillVet: Automated Traceability Analysis of Amazon Alexa Skills

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

On Biasing Transformer Attention Towards Monotonicity

Unsupervised Lexical Substitution with Decontextualised Embeddings

Content based singing voice source separation via strong conditioning using aligned phonemes

PronouncUR: An Urdu Pronunciation Lexicon Generator

Making sense of spoken plurals

Semantic properties of English nominal pluralization: Insights from word embeddings

On-Line Audio-to-Lyrics Alignment Based on a Reference Performance


TPP experimentation on MLIR for linear algebra

High-Performance Deep Learning via a Single Building Block

Tensor processing primitives

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures


Structured state space sequence models

Efficiently Modeling Long Sequences with Structured State Spaces

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Diagonal State Spaces are as Effective as Structured State Spaces

On the Parameterization and Initialization of Diagonal State Space Models

It's Raw! Audio Generation with State-Space Models

What Makes Convolutional Models Great on Long Sequence Modeling?

How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning
  Tasks

S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces

Simplifying and Understanding State Space Models with Diagonal Linear RNNs


PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Emerging Properties in Self-Supervised Vision Transformers

XCiT: Cross-Covariance Image Transformers

Decomposing NeRF for Editing via Feature Field Distillation

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

LRM: Large Reconstruction Model for Single Image to 3D

Pushing the limits of raw waveform speaker recognition

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

PASS: An ImageNet replacement for self-supervised pretraining without humans


Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/

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

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets.


RNA velocity estimation in Python

A single-cell transcriptomic atlas characterizes the silk-producing organ in the silkworm

The heterogeneity of mammalian utricular cells over the course of development

A novel memory-like Tfh cell subset is precursor to effector Tfh cells in recall immune responses

Microgel-based carriers enhance skeletal stem cell reprogramming towards immunomodulatory phenotype in osteoarthritic therapy


FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Seeing Through Clouds in Satellite Images

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models


Working repository for Causal Tree and extensions

Recursive Partitioning for Heterogeneous Causal Effects

Estimating individual treatment effect: generalization bounds and algorithms

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Machine learning to analyze the social-ecological impacts of natural resource policy: insights from community forest management in the Indian Himalaya

A unified survey of treatment effect heterogeneity modeling and uplift modeling

A general framework for causal classification

International Journal of Data Science and Analytics

Heterogeneous Treatment Effects in Regression Discontinuity Designs

Identifying heterogeneity using recursive partitioning: evidence from SMS nudges encouraging voluntary retirement savings in Mexico

Evaluating company bankruptcies using causal forests


Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018

Real-world Anomaly Detection in Surveillance Videos

A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views


Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) context-free formalisms

Modeling Source Syntax for Neural Machine Translation

Multilingual Distributed Representations without Word Alignment

Multimodal Pivots for Image Caption Translation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT

Meeting of the Association for Computational Linguistics

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context

Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter

Conference of the European Chapter of the Association for Computational Linguistics

Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings

Empirical Methods in Natural Language Processing

A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions

Conference of the Association for Machine Translation in the Americas

Response-based Learning for Grounded Machine Translation

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1


Generating bash command from natural language https://arxiv.org/abs/1802.08979

Neural Machine Translation by Jointly Learning to Align and Translate

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

Neural Machine Translation for Code Generation

LogPrécis: Unleashing Language Models for Automated Shell Log Analysis


The Opportunistic Network Environment simulator

Genetic Improvement of Routing Protocols for Delay Tolerant Networks

ACM Transactions on Evolutionary Learning and Optimization

A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas

An Efficient Routing Protocol with Overload Control for Group Mobility in Delay-Tolerant Networking


Java utilities for Bioinformatics

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Tracking the origin of two genetic components associated with transposable element bursts in domesticated rice

JVarkit: java-based utilities for Bioinformatics

Search for Rare Copy-Number Variants in Congenital Heart Defects Identifies Novel Candidate Genes and a Potential Role for FOXC1 in Patients With Coarctation of the Aorta

BAMClipper: removing primers from alignments to minimize false-negative mutations in amplicon next-generation sequencing

Assessing DNA Sequence Alignment Methods for Characterizing Ancient Genomes and Methylomes

bioalcidae, samjs and vcffilterjs: object-oriented formatters and filters for bioinformatics files

Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

Pleiotropic effects of regulatory variation in tan result in correlation of two pigmentation traits in Drosophila melanogaster

Characterization of FMR1 Repeat Expansion and Intragenic Variants by Indirect Sequence Capture


An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

fugashi, a Tool for Tokenizing Japanese in Python

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation


A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games

Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS

Transformers as Policies for Variable Action Environments

A Competition Winning Deep Reinforcement Learning Agent in microRTS


C++ implementation of a fast hash map and hash set using robin hood hashing

Benchmarking Learned Indexes

PSF-LO: Parameterized Semantic Features Based Lidar Odometry

Dynamic Path-Decomposed Tries

LSI: A Learned Secondary Index Structure

Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling

Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys

GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis

Design of a Resilient, High-Throughput, Persistent Storage System for the ATLAS Phase-II DAQ System


Awesome work on object 6 DoF pose estimation

Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

IEEE Transactions on Pattern Analysis and Machine Intelligence

Inferring Salient Objects from Human Fixations

IEEE transactions on pattern analysis and machine intelligence

Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

International Journal of Computer Vision

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

Dense Semantic 3D Reconstruction

Hand-Object Contact Force Estimation from Markerless Visual Tracking

Novel Views of Objects from a Single Image

Learning Category-Specific Deformable 3D Models for Object Reconstruction

SurfelMeshing: Online Surfel-Based Mesh Reconstruction

Latent-Class Hough Forests for 6 DoF Object Pose Estimation


aw_nas: A Modularized and Extensible NAS Framework

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

Evaluating Efficient Performance Estimators of Neural Architectures

FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

aw_nas: A Modularized and Extensible NAS framework

Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware
  Graph Transformer


An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.

Fantasy Football Prediction

The Anatomy of American Football: Evidence from 7 Years of NFL Game Data

iWinRNFL: A Simple, Interpretable & Well-Calibrated In-Game Win Probability Model for NFL

NFL Play Prediction


LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

The Semantic Scholar Open Data Platform

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

A Large Dataset of Historical Japanese Documents with Complex Layouts

PP-StructureV2: A Stronger Document Analysis System

The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage


Core Lightning — Lightning Network implementation focusing on spec compliance and performance

High Throughput Cryptocurrency Routing in Payment Channel Networks

Topological Analysis of Bitcoin's Lightning Network

Flash: Efficient Dynamic Routing for Offchain Networks

A comprehensive survey on smart contract construction and execution: paradigms, tools, and systems

A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

How to profit from payments channels

The CLoTH Simulator for HTLC Payment Networks with Introductory Lightning Network Performance Results

Counting Down Thunder: Timing Attacks on Privacy in Payment Channel Networks

On the Anonymity of Peer-To-Peer Network Anonymity Schemes Used by Cryptocurrencies


An updated pipeline for pangenome investigation

Producing polished prokaryotic pangenomes with the Panaroo pipeline

Putative Conjugative Plasmids with tcdB and cdtAB Genes in Clostridioides difficile

Genomics of Tenacibaculum Species in British Columbia, Canada

Fluoroquinolone resistance determinants in carbapenem-resistant Escherichia coli isolated from urine clinical samples in Thailand


An open-source tool for sequence learning in NLP built on TensorFlow.

Deep Learning on Graphs: A Survey

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation


EPOS - Economic Planning and Optimized Selections

Decentralized Edge-to-Cloud Load Balancing: Service Placement for the Internet of Things

Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties

Socio-technical Smart Grid Optimization via Decentralized Charge Control of Electric Vehicles

Appliance-Level Flexible Scheduling for Socio-Technical Smart Grid Optimization

Holarchic structures for decentralized deep learning: a performance analysis

A self-integration testbed for decentralized socio-technical systems

Coordination of drones at scale: Decentralized energy-aware swarm intelligence for spatio-temporal sensing

Collective privacy recovery: Data-sharing coordination via decentralized artificial intelligence

3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing

Discrete-choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities


A simple interface to record pulsar's flux density measurements for a large number of papers and perform fitting of spectral models.

pulsar_spectra: A pulsar flux density catalogue and spectrum fitting repository

Spectral analysis of 22 radio pulsars using SKA-Low precursor stations

Single-pulse analysis and average emission characteristics of PSR J1820−0427 from observations made with the MWA and uGMRT


A coupled structural solver written with the C++ finite element library deal.II

preCICE v2: A sustainable and user-friendly coupling library

FEniCS-preCICE: Coupling FEniCS to other Simulation Software

Gym-preCICE: Reinforcement Learning Environments for Active Flow Control


CoLight: Learning Network-level Cooperation for Traffic Signal Control

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

International Conference on Information and Knowledge Management

PlanLight: Learning to Optimize Traffic Signal Control With Planning and Iterative Policy Improvement

Variational Policy Propagation for Multi-agent Reinforcement Learning


R client for the National Phenology Network database API


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


Combining gravitational wave harmonics for efficient evaluation of likelihood

Removing degeneracy and multimodality in gravitational wave source parameters

New binary black hole mergers in the LIGO-Virgo O3b data

New black hole mergers in the LIGO-Virgo O3 data from a gravitational wave search including higher-order harmonics

New search pipeline for gravitational waves with higher-order modes using mode-by-mode filtering

Fast marginalization algorithm for optimizing gravitational wave detection, parameter estimation, and sky localization


Static code analysis tool for detecting recurring patterns in Scratch projects.

Common Bugs in Scratch Programs

Integrating Technology into Computer Science Education

LitterBox: A Linter for Scratch Programs

Code Perfumes: Reporting Good Code to Encourage Learners

Workshop in Primary and Secondary Computing Education

Improving Readability of Scratch Programs with Search-based Refactoring

Common Patterns in Block-Based Robot Programs


reports on carbon removal projects and technologies


A platform for analysis of Java bytecode

Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues

Kex: A Platform For Analysis Of JVM Programs

TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion

SPIDER: Specification-based Integration Defect Revealer


Website for conversationai.github.io

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation

Conference on Fairness, Accountability and Transparency

Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation

A Benchmark Study of the Contemporary Toxicity Detectors on Software Engineering Interactions

Automated Identification of Toxic Code Reviews Using ToxiCR

Automated Identification of Sexual Orientation and Gender Identity Discriminatory Texts from Issue Comments


Real-time 3D localization using a (velodyne) 3D LIDAR

PALoc: Advancing SLAM Benchmarking With Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with Fusion of Measurement Model Optimization via Importance Sampling


A collection of various deep learning architectures, models, and tips

A Survey of Deep Learning for Scientific Discovery

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

A simple squared-error reformulation for ordinal classification

On Transportation of Mini-batches: A Hierarchical Approach

Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

Analysis of Deep Image Quality Models


A parallel framework for training deep neural networks

AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks

A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs


Security Research from the Microsoft Security Response Center (MSRC)

SoK: Shining Light on Shadow Stacks

Fast Intra-kernel Isolation and Security with IskiOS

Top of the Heap: Efficient Memory Error Protection for Many Heap Objects

Formalizing Stack Safety as a Security Property


Higher Groups in Homotopy Type Theory

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy Theory

The real projective spaces in homotopy type theory

Classifying Types.

The Hurewicz theorem in homotopy type theory

Nilpotent types and fracture squares in homotopy type theory

Mathematical Structures in Computer Science


Command-line client for Fractal


tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. Developed by Alexander Luce (@Nerrror) in cooperation with Heribert Wankerl (@HarryTheBird).

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization

Parameterized reinforcement learning for optical system optimization

Investigation of inverse design of multilayer thin-films with conditional invertible neural networks


[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models

Language Prompt for Autonomous Driving

LMDrive: Closed-Loop End-to-End Driving with Large Language Models

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding

Dolphins: Multimodal Language Model for Driving

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning


R interface to torchvision

Computing a human-like reaction time metric from stable recurrent vision models

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search


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


Maximum independent sets and vertex covers of large sparse graphs.

Finding Near-Optimal Independent Sets at Scale

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization


Python implementation of CMA-ES

Scalable Global Optimization via Local Bayesian Optimization

Phoenics: A Bayesian Optimizer for Chemistry

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Scalable Constrained Bayesian Optimization

Policy Transfer with Strategy Optimization

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

Escaping local minima with local derivative-free methods: a numerical investigation


A toolkit for enforcing logical specifications on neural networks

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs

Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers


AutoPrompt: Automatic Prompt Construction for Masked Language Models.

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reordering Examples Helps during Priming-based Few-Shot Learning

Evaluating the Robustness of Discrete Prompts

PromptAttack: Prompt-based Attack for Language Models via Gradient Search


Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.

Circadian and Brain State Modulation of Network Hyperexcitability in Alzheimer’s Disease

An altered balance of integrated and segregated brain activity is a marker of cognitive deficits following sleep deprivation

Altered sleep spindles and slow waves during space shuttle missions

Slow oscillation‐spindle cross‐frequency coupling predicts overnight declarative memory consolidation in older adults

The association between overnight recognition accuracy and slow oscillation-spindle coupling is moderated by BDNF Val66Met

The Overnight Retention of Novel Metaphors Associates With Slow Oscillation–Spindle Coupling but Not With Respiratory Phase at Encoding

Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling

Disturbed sleep is associated with reduced verbal episodic memory and entorhinal cortex volume in younger middle-aged women with risk-reducing early ovarian removal


R package implementation of Milo for testing for differential abundance in KNN graphs

Differential abundance testing on single-cell data using k-nearest neighbor graphs

Cells of the human intestinal tract mapped across space and time

Milo: differential abundance testing on single-cell data using k-NN graphs

Clinicopathological and predictive value of MAIT cells in non-small cell lung cancer for immunotherapy

Competition between hematopoietic stem and progenitor cells controls hematopoietic stem cell compartment size

Regulation of endocrine cell alternative splicing revealed by single-cell RNA sequencing in type 2 diabetes pathogenesis


JAFFA is a multi-step pipeline that takes either raw RNA-Seq reads, or pre-assembled transcripts, then searches for gene fusions

Discovering and understanding oncogenic gene fusions through data intensive computational approaches

JAFFA: High sensitivity transcriptome-focused fusion gene detection

Comparative assessment of methods for the fusion transcripts detection from RNA-Seq data

JAFFAL: detecting fusion genes with long-read transcriptome sequencing

FuSpot: a web-based tool for visual evaluation of fusion candidates

CTAT-LR-fusion: accurate fusion transcript identification from long and short read isoform sequencing at bulk or single cell resolution

bioRxiv : the preprint server for biology


A toolbox for accurate single-trial estimates in fMRI time-series data

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Neural Correlates of Online Action Preparation

Improving the accuracy of single-trial fMRI response estimates using GLMsingle

The Spatiotemporal Neural Dynamics of Object Recognition for Natural Images and Line Drawings


PySonar2: a semantic indexer for Python with interprocedual type inference

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

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


A Comprehensive Reinforcement Learning Zoo for Simple Usage

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Emergence of Locomotion Behaviours in Rich Environments

Efficient Reinforcement Learning Development with RLzoo


defacing utility for MRI images

Network Localisation of White Matter Damage in Cerebral Small Vessel Disease

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

A natural language fMRI dataset for voxelwise encoding models

3D Deformable Convolutions for MRI classification

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

De‐identification procedures for magnetic resonance images and the impact on structural brain measures at different ages

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

A longitudinal multi-scanner multimodal human neuroimaging dataset


Python-based framework for building and evaluating session-based and session-aware recommender systems.

A Survey on Session-based Recommender Systems

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

Empirical analysis of session-based recommendation algorithms

Session-aware recommendation: A surprising quest for the state-of-the-art

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Proceedings of the 16th ACM Conference on Recommender Systems

An efficient manifold density estimator for all recommendation systems

Session-aware Linear Item-Item Models for Session-based Recommendation

Hierarchical Multi-Task Learning Framework for Session-based Recommendations

Performance Comparison of Session-based Recommendation Algorithms based on GNNs


Basin and Landscape Dynamics model

pyBadlands: A framework to simulate sediment transport, landscape dynamics and basin stratigraphic evolution through space and time

Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution


A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

Unsupervised Social Bot Detection via Structural Information Theory

Account credibility inference based on news-sharing networks

Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+


Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation

"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations

Learning to Select External Knowledge With Multi-Scale Negative Sampling

Amendable Generation for Dialogue State Tracking

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling

Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI

TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations

Towards Boosting the Open-Domain Chatbot with Human Feedback

Q-TOD: A Query-driven Task-oriented Dialogue System


CLI tool for flexible and fast adaptive sampling on ONT sequencers

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

Metagenomic Sequencing for Microbial DNA in Human Samples: Emerging Technological Advances

International journal of molecular sciences

ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing

Portable nanopore-sequencing technology: Trends in development and applications

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers


A fast and lightweight python-based CTC beam search decoder for speech recognition.

How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech

Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition

Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding

Transformer-Based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project

Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems: A Case Study for Modern Greek

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Evaluating Novel Speech Transcription Architectures on the Spanish RTVE2020 Database


[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...).

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations

An Invariant Information Geometric Method for High-Dimensional Online Optimization


List of major cities of the world as a datapackage

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Mapping Languages and Demographics with Georeferenced Corpora

Towards Sentence Level Inference Attack Against Pre-trained Language Models

Proceedings on Privacy Enhancing Technologies

KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations


A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Hyper-Parameter Sweep on AlphaZero General

Monte-Carlo Graph Search for AlphaZero

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers

Exploring the Performance of Deep Residual Networks in Crazyhouse Chess


AMR-to-text Generation with Synchronous Node Replacement Grammar

Creation of a Balanced State-of-the-Art Multilayer Corpus for NLU

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

A Human Evaluation of AMR-to-English Generation Systems

Adposition and Case Supersenses v2.6: Guidelines for English

Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines

Meeting of the Association for Computational Linguistics

Spanish Abstract Meaning Representation: Annotation of a General Corpus

Abstract meaning representation of Turkish

Semantic-Based Opinion Summarization

Recent Advances in Natural Language Processing

World Models for Math Story Problems


Miscellaneous collection of Python and R scripts for processing Iso-Seq data

De novo assembly of the cattle reference genome with single-molecule sequencing

Analysis of Transcriptome and Epitranscriptome in Plants Using PacBio Iso-Seq and Nanopore-Based Direct RNA Sequencing

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

Comprehensive identification of mRNA isoforms reveals the diversity of neural cell-surface molecules with roles in retinal development and disease

The chromosome-scale reference genome of safflower (Carthamus tinctorius) provides insights into linoleic acid and flavonoid biosynthesis

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

Maize transposable elements contribute to long non-coding RNAs that are regulatory hubs for abiotic stress response

Reconstruction of the full-length transcriptome atlas using PacBio Iso-Seq provides insight into the alternative splicing in Gossypium australe

Two novel venom proteins underlie divergent parasitic strategies between a generalist and a specialist parasite

Recurrent inversion toggling and great ape genome evolution


Feature as a Counter Parser for Networkmetrics

Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

Multivariate Big Data Analysis for intrusion detection: 5 steps from the haystack to the needle

Multivariate Statistical Network Monitoring–Sensor: An effective tool for real-time monitoring and anomaly detection in complex networks and systems

International Journal of Distributed Sensor Networks

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection

Methodology for Collecting a Training Dataset for an Intrusion Detection Model

Труды Института системного программирования РАН


Audio fingerprinting and recognition in Python

Advancing Audio Fingerprinting Accuracy with AI and ML: Addressing Background Noise and Distortion Challenges

Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning

Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations

Accuracy comparisons of fingerprint based song recognition approaches using very high granularity


Shark: introducing an open source, free, and flexible semi-analytic model of galaxy formation

Monthly Notices of the Royal Astronomical Society

From the far-ultraviolet to the far-infrared – galaxy emission at 0 ≤ z ≤ 10 in the shark semi-analytic model

Monthly notices of the Royal Astronomical Society

Physical properties and evolution of (sub-)millimetre-selected galaxies in the galaxy formation simulation shark

The first supermassive black holes: indications from models for future observations

The H I velocity function: a test of cosmology or baryon physics?

The physical drivers of the atomic hydrogen-halo mass relation

Unveiling the atomic hydrogen-halo mass relation via spectral stacking

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations

Characterizing the structure of halo merger trees using a single parameter: the tree entropy

KiDS-Legacy calibration: Unifying shear and redshift calibration with the SKiLLS multi-band image simulations


RAT is an Analysis Tool

Theia: an advanced optical neutrino detector

Sensitivity of a low threshold directional detector to CNO-cycle solar neutrinos

Decisive disappearance search at high Δ m^2 with monoenergetic muon neutrinos

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Water-based Liquid Scintillator detector as a new technology testbed for neutrino studies in Turkey

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Xenon-doped liquid argon TPCs as a neutrinoless double beta decay platform

KPipe: a decisive test for muon neutrino disappearance

Coincidence-based reconstruction for reactor antineutrino detection in gadolinium-doped Cherenkov detectors


libstempo — a Python wrapper for tempo2

THE NANOGRAV NINE-YEAR DATA SET: EXCESS NOISE IN MILLISECOND PULSAR ARRIVAL TIMES

A Second Chromatic Timing Event of Interstellar Origin toward PSR J1713+0747

Timing of young radio pulsars – II. Braking indices and their interpretation

The impact of glitches on young pulsar rotational evolution

The NANOGrav 11 yr Data Set: Evolution of Gravitational-wave Background Statistics

Forecasting Pulsar Timing Array Sensitivity to Anisotropy in the Stochastic Gravitational Wave Background

Joint search for isolated sources and an unresolved confusion background in pulsar timing array data

Constraining alternative polarization states of gravitational waves from individual black hole binaries using pulsar timing arrays

Taming outliers in pulsar-timing data sets with hierarchical likelihoods and Hamiltonian sampling

Disentangling Multiple Stochastic Gravitational Wave Background Sources in PTA Data Sets


Tool to fix bitexts and tag near-duplicates for removal

CroissantLLM: A Truly Bilingual French-English Language Model

The EuroPat Corpus: A Parallel Corpus of European Patent Data

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Neural Machine Translation with Inflected Lexicon

A New Massive Multilingual Dataset for High-Performance Language
  Technologies


Multilocus sequence typing by blast using the schemes from PubMLST

Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

Whole genome sequencing of ESBL-producing Escherichia coli isolated from patients, farm waste and canals in Thailand

Probiotic Potential and Safety Evaluation of Enterococcus faecalis OB14 and OB15, Isolated From Traditional Tunisian Testouri Cheese and Rigouta, Using Physiological and Genomic Analysis

Whole genome sequencing reveals high-resolution epidemiological links between clinical and environmental Klebsiella pneumoniae

Quantifying acquisition and transmission of Enterococcus faecium using genomic surveillance

Longitudinal genomic surveillance of multidrug-resistant Escherichia coli carriage in a long-term care facility in the United Kingdom

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

The Emergence of Successful Streptococcus pyogenes Lineages through Convergent Pathways of Capsule Loss and Recombination Directing High Toxin Expression

Limited contribution of non-intensive chicken farming to ESBL-producing Escherichia coli colonization in humans in Vietnam: an epidemiological and genomic analysis

The Journal of antimicrobial chemotherapy

Within-host evolution of Enterococcus faecium during longitudinal carriage and transition to bloodstream infection in immunocompromised patients


potato: portable text annotation tool

POTATO: The Portable Text Annotation Tool

Modeling Information Change in Science Communication with Semantically Matched Paraphrases

On the Challenges of Building Datasets for Hate Speech Detection


ytopt: machine-learning-based search methods for autotuning

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

Performance Optimization using Multimodal Modeling and Heterogeneous GNN

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)

Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization

Integrating ytopt and libEnsemble to Autotune OpenMC

Transfer-Learning-Based Autotuning Using Gaussian Copula

Proceedings of the 37th International Conference on Supercomputing

An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors