Citation Style Language schema

Open collaborative writing with Manubot

Influence of Inflammation on Cytochromes P450 Activity in Adults: A Systematic Review of the Literature

Okula Bağlılık Ölçeğinin Türkçeye Uyarlanması

Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi

Islamic Populism Politics and Its Threat to Indonesian Democracy

Perceptions of International Student Mobility: A Qualitative Case Study of Pakistan

Journal of Education and Educational Development

Tweets and Crumpets: Examining U.K. and U.S. Regulation of Athlete Endorsements and Social Media Marketing

Pembelajaran keliling lingkaran menggunakan konteks gelas

Revitalisasi Penerapan Qanun Nomor 6 Tahun 2014 tentang Hukum Jinayat di Kota Langsa Aceh

Developing Youth Competencies: The Impact of Program Quality

Computers, Internet and Smartphone Attitudes Among Romanian University Students

European Journal of Multidisciplinary Studies


Sentiment Analysis, Text Classification, Text Augmentation,  Text Adversarial defense, etc.;

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

Improving Implicit Sentiment Learning via Local Sentiment Aggregation

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction

Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases

UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)


Python parser for bash

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

Executable formal semantics for the POSIX shell

Shell Language Processing: Unix command parsing for Machine Learning

DONAPI: Malicious NPM Packages Detector using Behavior Sequence
  Knowledge Mapping

NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation


Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Qwen2 Technical Report

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

VisionTasker: Mobile Task Automation Using Vision Based UI Understanding and LLM Task Planning

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models
  with Sparse Mixture of Low-Rank Adapter Experts

Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning

ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues

Purple-teaming LLMs with Adversarial Defender Training

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction
  Tuning for Large Language Model


OpenChat: Advancing Open-source Language Models with Imperfect Data

Self-Instruct: Aligning Language Models with Self-Generated Instructions

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training

Automatic Pair Construction for Contrastive Post-training

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices

Instruction Tuning with Human Curriculum


Survival Analysis and Visualization

Integrative Tumor and Immune Cell Multi-omic Analyses Predict Response to Immune Checkpoint Blockade in Melanoma

Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

PET/CT Imaging of Activated Cancer-Associated Fibroblasts Predict Response to PD-1 Blockade in Gastric Cancer Patients

DNA methylation derived systemic inflammation indices are associated with head and neck cancer development and survival

Impact TMPRSS2-ERG Molecular Subtype on Prostate Cancer Recurrence

DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response

Multidimensional Mutational Profiling of the Indian HNSCC Sub-Population Provides IRAK1, a Novel Driver Gene and Potential Druggable Target

Whole-genome sequencing of extrachromosomal circular DNA of cerebrospinal fluid of medulloblastoma

Signatures of somatic mutations and gene expression from p16INK4A positive head and neck squamous cell carcinomas (HNSCC)


CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

International Conference on Robotics and Automation

3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection

Leveraging Image-based Localization for Infrastructure-based Calibration of a Multi-camera Rig

3D reconstruction of spherical images: a review of techniques, applications, and prospects


a programming library with geometric algorithms

On the numerical approximation of Blaschke-Santaló diagrams using Centroidal Voronoi Tessellations

ESAIM: Mathematical Modelling and Numerical Analysis

Anisotropic power diagrams for polycrystal modelling: Efficient generation of curved grains via optimal transport


Sequential regulatory activity predictions with deep convolutional neural networks.

Effective gene expression prediction from sequence by integrating long-range interactions

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

Evaluating the informativeness of deep learning annotations for human complex diseases

The motif composition of variable number tandem repeats impacts gene expression

Predicting 3D genome folding from DNA sequence

ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation

In silico discovery of repetitive elements as key sequence determinants of 3D genome folding

Integrative dissection of gene regulatory elements at base resolution

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network

Systematic decoding of cis gene regulation defines context-dependent control of the multi-gene costimulatory receptor locus in human T cells


Database with posteriors of interest for Bayesian inference

Pathfinder: Parallel quasi-Newton variational inference

Challenges and Opportunities in High-dimensional Variational Inference

Detecting and diagnosing prior and likelihood sensitivity with power-scaling

A Framework for Improving the Reliability of Black-box Variational Inference

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions

Foundation Posteriors for Approximate Probabilistic Inference

Automatic Guide Generation for Stan via NumPyro

Bernstein Flows for Flexible Posteriors in Variational Bayes

posteriordb: Testing, Benchmarking and Developing Bayesian Inference
  Algorithms

Batch and match: black-box variational inference with a score-based
  divergence


An R package for climate data bias correction and downscaling (part of the climate4R bundle)

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

Climate projections of a multivariate heat stress index: the role of downscaling and bias correction

A new region-aware bias-correction method for simulated precipitation in areas of complex orography

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin


Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer

Towards Adaptive Grids for Atmospheric Boundary-Layer Simulations

The Benefits and Challenges of Downscaling a Global Reanalysis With Doubly‐Periodic Large‐Eddy Simulations

Journal of Advances in Modeling Earth Systems


Vitis Libraries

AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators

TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design

Democratizing Domain-Specific Computing

Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference

Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs

PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON HIGHLY EFFICIENT ACCELERATORS AND RECONFIGURABLE TECHNOLOGIES, HEART 2022

CEAZ: Accelerating Parallel I/O Via Hardware-Algorithm Co-Designed Adaptive Lossy Compression

Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver

Allo: A Programming Model for Composable Accelerator Design

Proceedings of the ACM on Programming Languages

EA4RCA:Efficient AIE accelerator design framework for Regular
  Communication-Avoiding Algorithm


Extracts data points from images of graphs

FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns

Clinical Implication of Corrective Saccades in the Video Head Impulse Test for the Diagnosis of Posterior Inferior Cerebellar Artery Infarction

Contribution of Radio Halos to the Foreground for SKA EoR Experiments

Economic evaluation of serplulimab plus chemotherapy as the first-line treatment of oesophageal squamous cell carcinoma in China


High performance data storage for importing, querying and transforming variants.

The variant call format provides efficient and robust storage of GWAS summary statistics

GenESysV: a fast, intuitive and scalable genome exploration open source tool for variants generated from high-throughput sequencing projects

Advancing clinical cohort selection with genomics analysis on a distributed platform


Get protein embeddings from protein sequences

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

LambdaPP: Fast and accessible protein-specific phenotype predictions

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


Public repository for the Monte Python Code

Early Dark Energy can Resolve the Hubble Tension

Early dark energy does not restore cosmological concordance

Oscillating scalar fields and the Hubble tension: A resolution with novel signatures

Cosmic microwave background bounds on primordial black holes including dark matter halo accretion

The BAO+BBN take on the Hubble tension

Journal of Cosmology and Astroparticle Physics

Constraining early dark energy with large-scale structure

Early dark energy is not excluded by current large-scale structure data

The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data

Limits on wCDM from the EFTofLSS with the PyBird code

Hints of Early Dark Energy in Planck, SPT, and ACT data: new physics or systematics?


Sequence to Sequence Learning with Keras

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Sequence to Sequence Learning with Neural Networks

A Neural Conversational Model

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Seq2Seq Models with Dropout can Learn Generalizable Reduplication

Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology


The open source BIMserver platform

Querying 3D Cadastral Information from BIM Models

ISPRS International Journal of Geo-Information

A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

ARK-BIM: Open-Source Cloud-Based HBIM Platform for Archaeology

HBIM Open Source: A Review

PRACTICAL EXAMPLES ON BIM-GIS INTEGRATION BASED ON SEMANTIC WEB TRIPLESTORES

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

Research on BIM model lightweighting methods and IoT technology application in the context of WebGL


Toolbox for testing if a probability distribution fits a power law

powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning

Traditional and Heavy-Tailed Self Regularization in Neural Network Models

Automated assembly of molecular mechanisms at scale from text mining and curated databases

Hunting for Radio Emission from the Intermittent Pulsar J1107-5907 at Low Frequencies

Dense gas in a giant molecular filament

Altered Weibull Degree Distribution in Resting-State Functional Brain Networks Is Associated With Cognitive Decline in Mild Cognitive Impairment

Temporal Networks Based on Human Mobility Models: A Comparative Analysis With Real-World Networks

Heavy-tailed distributions of confirmed COVID-19 cases and deaths in spatiotemporal space

Size Distributions Reveal Regime Transition of Lake Systems Under Different Dominant Driving Forces


Ontology for consent codes and data use requirements

International data governance for neuroscience

Children’s rare disease cohorts: an integrative research and clinical genomics initiative

The Data Use Ontology to streamline responsible access to human biomedical datasets

Consent Receipts for a Usable and Auditable Web of Personal Data

Design choices for productive, secure, data-intensive research at scale in the cloud

Policy-aware data lakes: a flexible approach to achieve legal interoperability for global research collaborations

Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management

Implementation of Privacy and Security for a Genomic Information System Based on Standards

Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiatives

A five-safes approach to a secure and scalable genomics data repository


LangKit: An open-source toolkit for monitoring Large Language Models (LLMs).  Extracts signals from prompts & responses, ensuring safety & security.  Features include text quality, relevance metrics, & sentiment analysis.  A comprehensive tool for LLM observability.

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

SPML: A DSL for Defending Language Models Against Prompt Attacks


Fast and flexible nonadiabatic molecular dynamics in Julia!

NQCDynamics.jl: A Julia package for nonadiabatic quantum classical molecular dynamics in the condensed phase

Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities

Assessing Mixed Quantum-Classical Molecular Dynamics Methods for Nonadiabatic Dynamics of Molecules on Metal Surfaces

Efficient implementation and performance analysis of the independent electron surface hopping method for dynamics at metal surfaces

Benchmarking of machine learning interatomic potentials for reactive
  hydrogen dynamics at metal surfaces


Solves basic Russian NLP tasks, API for lower level Natasha projects

WhatTheWikiFact: Fact-Checking Claims Against Wikipedia

Russian Paraphrasers: Paraphrase with Transformers

Workshop on Balto-Slavic Natural Language Processing

Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Hybridization of Intelligent Solutions Architecture for Text Understanding and Text Generation

WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia

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

WikiOmnia: generative QA corpus on the whole Russian Wikipedia

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs

ISTIC’s Triangular Machine Translation System for WMT2021


Hierarchical Alignment Format

HAL: a hierarchical format for storing and analyzing multiple genome alignments

A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers

Complex evolutionary processes maintain an ancient chromosomal inversion

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

halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants


Grammar of Graph Graphics

Single-cell brain organoid screening identifies developmental defects in autism

Salinity Gradient Controls Microbial Community Structure and Assembly in Coastal Solar Salterns

Identification of Risk Factors for African Swine Fever: A Systematic Review

Identifying and tracking mobile elements in evolving compost communities yields insights into the nanobiome

ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics

Metabolomic profiles in night shift workers: A cross-sectional study on hospital female nurses

Metagenomic Strain-Typing Combined with Isolate Sequencing Provides Increased Resolution of the Genetic Diversity of Campylobacter jejuni Carriage in Wild Birds


OWLTools

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

Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium

ROBOT: A Tool for Automating Ontology Workflows

Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools

Methods in molecular biology (Clifton, N.J.)

Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems

A Framework for Automated Construction of Heterogeneous Large-Scale Biomedical Knowledge Graphs

Candidate regulators and target genes of drought stress in needles and roots of Norway spruce

How, What and Why to test an ontology

Identification of Candidate Susceptibility Genes to Puccinia graminis f. sp. tritici in Wheat

GOcats: A tool for categorizing Gene Ontology into subgraphs of user-defined concepts


qFit: Automated and unbiased multi-conformer models from X-ray and EM maps.

Exposing Hidden Alternative Backbone Conformations in X-ray Crystallography Using qFit

Ligand binding remodels protein side chain conformational heterogeneity

qFit-ligand reveals widespread conformational heterogeneity of drug-like molecules in X-ray electron density maps.

qFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps

Uncovering Protein Ensembles: Automated Multiconformer Model Building for X-ray Crystallography and Cryo-EM

Refinement of multiconformer ensemble models from multi-temperature X-ray diffraction data

bioRxiv : the preprint server for biology


A Unified Framework for Surface Reconstruction

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models

Neural digital twins: reconstructing complex medical environments for spatial planning in virtual reality

International journal of computer assisted radiology and surgery

Active Neural 3D Reconstruction with Colorized Surface Voxel-based View Selection

The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility


Near-optimal RNA-Seq quantification

A simple guide to de novo transcriptome assembly and annotation

Systematic Assessment of Transcriptomic Biomarkers for Immune Checkpoint Blockade Response in Cancer Immunotherapy

H3.3K27M Mutation Controls Cell Growth and Resistance to Therapies in Pediatric Glioma Cell Lines

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Meta-Analysis of the Public RNA-Seq Data of the Western Honeybee Apis mellifera to Construct Reference Transcriptome Data

Discovering tumor-reactive T-cell receptors through single-cell sequencing of tumor-infiltrating lymphocytes

Unveiling the immunomodulatory shift: Epithelial-mesenchymal transition Alters immune mechanisms of amniotic epithelial cells


Single cell perturbation prediction

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

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

A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data


Nested Sampling post-processing and plotting

KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

Dark Energy Survey Year 3 Results: Constraints on extensions to
  ΛCDM with weak lensing and galaxy clustering

Assessing tension metrics with dark energy survey and Planck data

Monthly Notices of the Royal Astronomical Society

Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data

Quantifying Suspiciousness within correlated data sets

DES Y1 results: splitting growth and geometry to test ΛcDM

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

Curvature tension: evidence for a closed universe (supplementary inference products)

Zenodo (CERN European Organization for Nuclear Research)


V-pipe is a pipeline designed for analysing NGS data of short viral genomes

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Early detection and surveillance of SARS-CoV-2 genomic variants in wastewater using COJAC

V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data

V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput sequencing data

Sequencing of SARS-CoV-2 RNA Fragments in Wastewater Detects the Spread of New Variants during Major Events

VGEA: an RNA viral assembly toolkit


Camelot: PDF Table Extraction for Humans

TableBank: Table Benchmark for Image-based Table Detection and Recognition

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

Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data

PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format

Journal of chemical information and modeling

Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health


Collection of reinforcement learning algorithms

Conservative Q-Learning for Offline Reinforcement Learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Reinforcement Learning with Augmented Data

Visual Reinforcement Learning with Imagined Goals

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble


MuZero

Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Atari Games with Limited Data

Deep Reinforcement Learning

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

What model does MuZero learn?


LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

Autonomous Exploration Development Environment and the Planning Algorithms

Generating Large Convex Polytopes Directly on Point Clouds

Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper)

3D LiDAR Point Cloud Registration Based on IMU Preintegration in Coal Mine Roadways

Piecewise Linear De-skewing for LiDAR Inertial Odometry

GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments


OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Autoencoding Variational Inference For Topic Models

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Learning Directed Graphical Models with Optimal Transport

An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures

Recent Advances in Natural Language Processing

Towards Reinterpreting Neural Topic Models via Composite Activations

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

GINopic: Topic Modeling with Graph Isomorphism Network


White matter tractography clustering and more...

Free water modeling of peritumoral edema using multi-fiber tractography: Application to tracking the arcuate fasciculus for neurosurgical planning

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach

Alignment of Tractograms As Graph Matching

Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

Automatic oculomotor nerve identification based on data‐driven fiber clustering


PyTorch CTC Decoder bindings

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Exploring End-to-End Techniques for Low-Resource Speech Recognition

Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring


R package for integrating and analyzing multiple single-cell datasets

Mapping single-cell data to reference atlases by transfer learning

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data

Computational methods for the integrative analysis of single-cell data

UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization

Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis

Bi-order multimodal integration of single-cell data

Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network

Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning


A fast radio interferometric calibration suite.

CUBICAL - fast radio interferometric calibration suite exploiting complex optimization

Radio footprints of a minor merger in the Shapley Supercluster: From supercluster down to galactic scales

A new look at old friends - I. Imaging classical radio galaxies with uGMRT and MeerKAT

Nature of the unusual transient AT 2018cow from HI observations of its host galaxy

HAL (Le Centre pour la Communication Scientifique Directe)

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

MeerKATHI -- an end-to-end data reduction pipeline for MeerKAT and other radio telescopes

The Interstellar Medium in the Environment of the Supernova-less Long-duration GRB 111005A

The Astrophysical Journal Supplement Series

Mining Mini-Halos with MeerKAT I. Calibration and Imaging

Solution intervals considered harmful: on the optimality of radio interferometric gain solutions

HI in and behind the Hubble Frontier Field Clusters: A Deep MeerKAT Pilot Search out to z∼ 0.5


Resources for grounding protein families and complexes from text and describing their hierarchical relationships.

FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining

Automated assembly of molecular mechanisms at scale from text mining and curated databases

INDRA-IPM: interactive pathway modeling using natural language with automated assembly


R package for MetaboAnalyst

MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data

MetaboAnalystR 2.0: From Raw Spectra to Biological Insights

Snow algae communities in Antarctica: metabolic and taxonomic composition

Compartmentalized metabolism supports midgestation mammalian development

CRISPR/Cas9-Mediated Targeted Mutagenesis of GmUGT Enhanced Soybean Resistance Against Leaf-Chewing Insects Through Flavonoids Biosynthesis

Effects of Copper and pH on the Growth and Physiology of Desmodesmus sp. AARLG074

Plasma metabolic disturbances during pregnancy and postpartum in women with depression

Widely Targeted Metabolomics Analysis of Soybean and Chickpea and Their Different Advantages and New Functional Compounds for Diabetes

Habituation to Livestock Trailer and Its Influence on Stress Responses during Transportation in Goats

Animals : an open access journal from MDPI

Phytochemical analysis of Ziziphus jujube leaf at different foliar ages based on widely targeted metabolomics


Unified Complex Network and Recurrence Analysis Toolbox

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

EGU General Assembly Conference Abstracts

A climate network‐based index to discriminate different types of El Niño and La Niña

Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes

Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions

Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure

Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis

A climate network perspective on the intertropical convergence zone

A biomarker discovery framework for childhood anxiety


BERT score for text generation

BERTScore: Evaluating Text Generation with BERT

BLEURT: Learning Robust Metrics for Text Generation

Automated Concatenation of Embeddings for Structured Prediction

BRIO: Bringing Order to Abstractive Summarization

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

TRUE: Re-evaluating Factual Consistency Evaluation

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

CM3: A Causal Masked Multimodal Model of the Internet

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

Evaluating Question Answering Evaluation

Empirical Methods in Natural Language Processing


Read-based phasing of genomic variants, also called haplotype assembly

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Organ-specific genome diversity of replication-competent SARS-CoV-2

A graph-based approach to diploid genome assembly

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

A chromosome-level reference genome and pangenome for barn swallow population genomics


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

Pre-trained models for natural language processing: A survey

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

A Survey on Text Classification: From Shallow to Deep Learning

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

CLUE: A Chinese Language Understanding Evaluation Benchmark

Token-Aware Virtual Adversarial Training in Natural Language Understanding

Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients

How to decay your learning rate

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis


A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Adversarial Examples Are Not Bugs, They Are Features

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Overfitting in adversarially robust deep learning

RobustBench: a standardized adversarial robustness benchmark

Measuring Robustness to Natural Distribution Shifts in Image Classification

Do Adversarially Robust ImageNet Models Transfer Better?

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Adversarial Robustness as a Prior for Learned Representations

Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations


Creative Commons Attribution 4.0 International

information artifact ontology

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

Community standards for open cell migration data

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis

Organizing phenotypic data—a semantic data model for anatomy

Transforming the study of organisms: Phenomic data models and knowledge bases

OPTION: OPTImization Algorithm Benchmarking ONtology

Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology

Topical Classification of Food Safety Publications with a Knowledge Base

OPPO: An Ontology for Describing Fine-Grained Data Practices in Privacy Policies of Online Social Networks


tools for adding mutations to existing .bam files, used for testing mutation callers

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

Retrotransposition of gene transcripts leads to structural variation in mammalian genomes

The Genetic Basis of Natural Variation in Caenorhabditis elegans Telomere Length

Fine-Grained Analysis of Spontaneous Mutation Spectrum and Frequency in Arabidopsis thaliana

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Cpipe: a shared variant detection pipeline designed for diagnostic settings

RADIA: RNA and DNA Integrated Analysis for Somatic Mutation Detection

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

A community effort to create standards for evaluating tumor subclonal reconstruction

Natural Variation in the Distribution and Abundance of Transposable Elements Across the Caenorhabditis elegans Species


View model summaries in PyTorch!

Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory

Packed-Ensembles for Efficient Uncertainty Estimation

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans

Rail Detection: An Efficient Row-based Network and A New Benchmark

Deep Learning based Data Prefetching in CPU-GPU Unified Virtual Memory

Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement

An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory

DecisioNet: A Binary-Tree Structured Neural Network

Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting


A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Typometrics: From Implicational to Quantitative Universals in Word Order Typology

Glossa: a journal of general linguistics

An Iwasawa-Taniguchi effect for Compton-thick active galactic nuclei

The Accretion and Obscured Growth of Supermassive Black Holes

The Morpho-kinematic Architecture of Super Star Clusters in the Center of NGC 253

Predicting 3D genome folding from DNA sequence

Detection of Gravitational Redshift in Open Cluster Nondegenerate Stars

Separable Layers Enable Structured Efficient Linear Substitutions

A Global Fit of Non-Relativistic Effective Dark Matter Operators Including Solar Neutrinos

VLBA Astrometry of the Galactic Double Neutron Stars PSR J0509+3801 and
  PSR J1930-1852: A Preliminary Transverse Velocity Distribution of Double
  Neutron Stars and Its Implications


WebAssembly Virtual Machine

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

A fast in-place interpreter for WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

Whose baseline compiler is it anyway?

A General Static Binary Rewriting Framework for WebAssembly


Official repository for 21cmFAST: a code for generating fast simulations of the cosmological 21cm signal

HERA Phase I Limits on the Cosmic 21 cm Signal: Constraints on Astrophysics and Cosmology during the Epoch of Reionization

Reionization and galaxy inference from the high-redshift Ly α forest

The impact of the first galaxies on cosmic dawn and reionization

A tale of two sites - I. Inferring the properties of minihalo-hosted galaxies from current observations

Monthly notices of the Royal Astronomical Society

Reionization inference from the CMB optical depth and E-mode polarization power spectra

Monthly Notices of the Royal Astronomical Society

Modeling Cosmic Reionization

A tale of two sites - II. Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers

Epoch of reionization parameter estimation with the 21-cm bispectrum

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

Exploring the cosmic 21-cm signal from the epoch of reionization using the wavelet scattering transform


Python package for analysis of dynamic fluorescence microscopy data

SIMA: Python software for analysis of dynamic fluorescence imaging data

Hippocampal adult-born granule cells drive network activity in a mouse model of chronic temporal lobe epilepsy

Synaptogenic activity of the axon guidance molecule Robo2 underlies hippocampal circuit function

A cranial implant for stabilizing whole-cell patch-clamp recordings in behaving rodents


NEW location of IQ-TREE software for efficient phylogenomic software by maximum likelihood http://www.iqtree.org

Dynamic genome evolution in a model fern

Highly Pathogenic Avian Influenza A(H5N1) Clade 2.3.4.4b Virus Infection in Domestic Dairy Cattle and Cats, United States, 2024

Updated site concordance factors minimize effects of homoplasy and taxon sampling

RAxML Grove: an empirical phylogenetic tree database

Mobilome-driven partitions of the resistome in Salmonella

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

MAST: Phylogenetic Inference with Mixtures Across Sites and Trees

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

The Chloroplast Genome of Wild Saposhnikovia divaricata: Genomic Features, Comparative Analysis, and Phylogenetic Relationships

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling


R interface to the ANTs biomedical image processing library

Recommendations for Processing Head CT Data

ENIGMA brain injury: Framework, challenges, and opportunities

Multivariate MR Biomarkers Better Predict Cognitive Dysfunction in Mouse Models of Alzheimers Disease

Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data

Clinical, Technical, and MRI Features Associated with Patients' Outcome at 3 Months and 2 Years following Prostate Artery Embolization: Is There an Added Value of Radiomics?

Testing the accuracy of 3D automatic landmarking via genome-wide association studies

Distal neuropathic pain in HIV is associated with functional connectivity patterns in default mode and salience networks

Frontiers in pain research (Lausanne, Switzerland)


Terminal-based CPU stress and monitoring utility

A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices

LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing

An Integrated FPGA Accelerator for Deep Learning-Based 2D/3D Path Planning


Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation

WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

CoMoSVC: Consistency Model-based Singing Voice Conversion

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

AudioTime: A Temporally-aligned Audio-text Benchmark Dataset

SingVisio: Visual Analytics of Diffusion Model for Singing Voice
  Conversion

Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec
  Transformer


Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Language Models are Unsupervised Multitask Learners

Authorship Attribution for Neural Text Generation

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

Do Language Models Plagiarize?

The Chess Transformer: Mastering Play using Generative Language Models

Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation

Employing Argumentation Knowledge Graphs for Neural Argument Generation

Meeting of the Association for Computational Linguistics

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

The Go Transformer: Natural Language Modeling for Game Play

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users


:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Dense Passage Retrieval for Open-Domain Question Answering

REALM: Retrieval-Augmented Language Model Pre-Training

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval

Prompting Frameworks for Large Language Models: A Survey

RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Asking questions on handwritten document collections

International Journal on Document Analysis and Recognition (IJDAR)

Cross-document Event Coreference Search: Task, Dataset and Modeling

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs


brozzler - distributed browser-based web crawler

The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving

Discovering Scholarly Orphans Using ORCID

Supporting Web Archiving via Web Packaging

Exploring the Intersections of Web Science and Accessibility


Accelerated Quality-Diversity

evosax: JAX-based Evolution Strategies

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Accelerated Quality-Diversity through Massive Parallelism

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems

Evolving Populations of Diverse RL Agents with MAP-Elites

Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains


Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Generative Sparse Detection Networks for 3D Single-shot Object Detection

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

DPFM: Deep Partial Functional Maps

High-dimensional Convolutional Networks for Geometric Pattern Recognition

Sparse Tensor-based Point Cloud Attribute Compression

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

Multi-Space Alignments Towards Universal LiDAR Segmentation


Tools for working with genomic and high throughput sequencing data.

Clinical impact of panel-based error-corrected next generation sequencing versus flow cytometry to detect measurable residual disease (MRD) in acute myeloid leukemia (AML)

Mismatch repair deficiency is not sufficient to elicit tumor immunogenicity

Targeted genome fragmentation with CRISPR/Cas9 enables fast and efficient enrichment of small genomic regions and ultra-accurate sequencing with low DNA input (CRISPR-DS)

Circulating Cell-Free DNA Profiling Predicts the Therapeutic Outcome in Advanced Hepatocellular Carcinoma Patients Treated with Combination Immunotherapy

Phylogenomics reveals multiple introductions and early spread of SARS-CoV-2 into Peru

CLIP and Massively Parallel Functional Analysis of CELF6 Reveal a Role in Destabilizing Synaptic Gene mRNAs through Interaction with 3′ UTR Elements

Footprints of natural selection at the mannose-6-phosphate isomerase locus in barnacles

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

Rapid and highly-specific generation of targeted DNA sequencing libraries enabled by linking capture probes with universal primers

Performance evaluation of commercial library construction kits for PCR-based targeted sequencing using a unique molecular identifier

Urinary Comprehensive Genomic Profiling Correlates Urothelial Carcinoma Mutations with Clinical Risk and Efficacy of Intervention


Open source version of Google Authenticator (except the Android app)

T/Key: Second-Factor Authentication From Secure Hash Chains

Practical Threshold Multi-Factor Authentication

IEEE Transactions on Information Forensics and Security

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree


PyTorch implementation of the U-Net for image semantic segmentation with high quality images

U-Net: Convolutional Networks for Biomedical Image Segmentation

Mixed Precision Training

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography

CaDIS: Cataract Dataset for Image Segmentation

Neural Optimal Transport

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Generative Modeling with Optimal Transport Maps

Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network


Python package for graph neural networks in chemistry and biology

Recent advances and applications of deep learning methods in materials science

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning

In Silico Prediction of Metabolic Reaction Catalyzed by Human Aldehyde Oxidase


adegenet: a R package for the multivariate analysis of genetic markers

A fast likelihood solution to the genetic clustering problem

Taraxacum kok-saghyz (rubber dandelion) genomic microsatellite loci reveal modest genetic diversity and cross-amplify broadly to related species

Geography and Environment Shape Landscape Genetics of Mediterranean Alpine Species Silene ciliata Poiret. (Caryophyllaceae)

Carnivores, competition and genetic connectivity in the Anthropocene

The Structure of Genetic Diversity in Eelgrass (Zostera marina L.) along the North Pacific and Bering Sea Coasts of Alaska

Genetic Diversity and Population Structure Analysis of the USDA Olive Germplasm Using Genotyping-By-Sequencing (GBS)

Long range gene flow beyond predictions from oceanographic transport in a tropical marine foundation species

Intronic primers reveal unexpectedly high major histocompatibility complex diversity in Antarctic fur seals

Genetic trajectories of zebra and quagga mussel invasions across three decades: Lake Erie versus Hudson River populations


Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

On Neural Differential Equations

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

torchode: A Parallel ODE Solver for PyTorch

On the convergence of adaptive approximations for stochastic differential equations

Learning reduced-order Quadratic-Linear models in Process Engineering
  using Operator Inference

Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers


Kubernetes community content

Foggy: A Platform for Workload Orchestration in a Fog Computing Environment

IEEE International Conference on Cloud Computing Technology and Science

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

The Schulze Method of Voting

Computing Without Borders: The Way Towards Liquid Computing

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

Kubernetes Autoscaling: YoYo Attack Vulnerability and Mitigation

International Conference on Cloud Computing and Services Science

Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis

An empirical study of vulnerabilities in edge frameworks to support security testing improvement

Zenodo (CERN European Organization for Nuclear Research)

Collective Autoscaling for Cloud Microservices

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds


A PyTorch implementation of EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

EfficientNetV2: Smaller Models and Faster Training

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation

Waste detection in Pomerania: non-profit project for detecting waste in environment

Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images

Image-Based Wheat Fungi Diseases Identification by Deep Learning

Automatic Sparse Connectivity Learning for Neural Networks


TensorFlow code and pre-trained models for BERT

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

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

SciBERT: A Pretrained Language Model for Scientific Text

Cross-lingual Language Model Pretraining

Publicly Available Clinical BERT Embeddings

SpanBERT: Improving Pre-training by Representing and Predicting Spans

TinyBERT: Distilling BERT for Natural Language Understanding

How to Fine-Tune BERT for Text Classification?

ERNIE: Enhanced Language Representation with Informative Entities

Pre-trained models for natural language processing: A survey


Python library for quantum circuit rewriting and optimisation using the ZX-calculus

Reducing the number of non-Clifford gates in quantum circuits

Graph-theoretic Simplification of Quantum Circuits with the ZX-calculus

Open source software in quantum computing

PyZX: Large Scale Automated Diagrammatic Reasoning

CNOT circuit extraction for topologically-constrained quantum memories

There and back again: A circuit extraction tale

Quantum computing with Qiskit

A Near-Optimal Axiomatisation of ZX-Calculus for Pure Qubit Quantum Mechanics.

Completeness of Graphical Languages for Mixed States Quantum Mechanics

Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)


API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

COVID-QA: A Question Answering Dataset for COVID-19

Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA

What Are People Asking About COVID-19? A Question Classification Dataset

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training

Collecting Verified COVID-19 Question Answer Pairs

Empirical Methods in Natural Language Processing

An Empirical Study of Bugs in COVID-19 Software Projects

Journal of Software Engineering Research and Development

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture

An Approach to Ensure Fairness in News Articles


A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.

High Contrast Imaging for Python (HCIPy): an open-source adaptive optics and coronagraph simulator

Origin of the asymmetry of the wind driven halo observed in high-contrast images

Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Focal-plane wavefront sensing with the vector-Apodizing Phase Plate


TCGAbiolinks

New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx

Survival Analysis of Multi-Omics Data Identifies Potential Prognostic Markers of Pancreatic Ductal Adenocarcinoma

Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis

Medical science monitor : international medical journal of experimental and clinical research

APPBP2 enhances non-small cell lung cancer proliferation and invasiveness through regulating PPM1D and SPOP

CPADS: a web tool for comprehensive pancancer analysis of drug sensitivity


R package for performing 2-sample MR using MR-Base database

The MR-Base platform supports systematic causal inference across the human phenome

Recent Developments in Mendelian Randomization Studies

GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression

Gut Microbiota and Psychiatric Disorders: A Two-Sample Mendelian Randomization Study

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

Exploring a causal role of DNA methylation in the relationship between maternal vitamin B12 during pregnancy and child’s IQ at age 8, cognitive performance and educational attainment: a two-step Mendelian randomization study

Shortened Leukocyte Telomere Length Is Associated With Glycemic Progression in Type 2 Diabetes: A Prospective and Mendelian Randomization Analysis

Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

SGLT2 Inhibition, Choline Metabolites, and Cardiometabolic Diseases: A Mediation Mendelian Randomization Study

Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study


Official repository for design of the quantum programming language Q# and its core libraries

OpenQASM 3: A broader and deeper quantum assembly language

A MLIR Dialect for Quantum Assembly Languages

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing

Studying chirality imbalance with quantum algorithms

QParallel: Explicit Parallelism for Programming Quantum Computers

Enabling Retargetable Optimizing Compilers for Quantum Accelerators via a Multi-Level Intermediate Representation

Characterizing the Inter-Core Qubit Traffic in Large-Scale Quantum Modular Architectures


Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket

SpecFuzz: Bringing Spectre-type vulnerabilities to the surface

Parsing gigabytes of JSON per second

ReplicaTEE: Enabling Seamless Replication of SGX Enclaves in the Cloud

CACTI: Captcha Avoidance via Client-side TEE Integration


american fuzzy lop - a security-oriented fuzzer

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

WEIZZ: automatic grey-box fuzzing for structured binary formats

International Symposium on Software Testing and Analysis

An Empirical Study of OSS-Fuzz Bugs

Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach

Fuzzing Symbolic Expressions

International Conference on Software Engineering

Fuzzing Class Specifications

Path transitions tell more

Deep Learning & Software Engineering: State of Research and Future Directions.

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

White-Box Fuzzing RPC-Based APIs with EvoMaster: An Industrial Case Study


汉字转拼音(pypinyin)

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking

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

Rigid Formats Controlled Text Generation

Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning

Neural Machine Translation of Logographic Language Using Sub-character Level Information

EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion

g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

Prosospeech: Enhancing Prosody with Quantized Vector Pre-Training in Text-To-Speech


Fast Library for Approximate Nearest Neighbors

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

FAST SEMANTIC SEGMENTATION OF 3D POINT CLOUDS WITH STRONGLY VARYING DENSITY

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Survey of Vector Database Management Systems

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.


Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network

Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

International Conference on Information and Knowledge Management

End-to-End NLP Knowledge Graph Construction

Evaluating Text GANs as Language Models

The State of the Art of Natural Language Processing—A Systematic Automated Review of NLP Literature Using NLP Techniques

SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs

An Overview of Indian Language Datasets used for Text Summarization


A compiler and scenario generator for the Scenic scenario description language.

Scenic: a language for scenario specification and scene generation

Programming Language Design and Implementation

Scenic: a language for scenario specification and data generation

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

3D Environment Modeling for Falsification and Beyond with Scenic 3.0


MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

A foundation model for atomistic materials chemistry

Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science

MACE-OFF23: Transferable Machine Learning Force Fields for Organic Molecules

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures
  and Pressures

Data efficiency and extrapolation trends in neural network interatomic potentials

Systematic assessment of various universal machine-learning interatomic
  potentials

Beyond MD17: the reactive xxMD dataset


结巴中文分词

CSI: A Hybrid Deep Model for Fake News Detection

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

Achieving Human Parity on Automatic Chinese to English News Translation

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

The United Nations Parallel Corpus v1.0

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

Automated Phrase Mining from Massive Text Corpora

Overview for the Second Shared Task on Language Identification in Code-Switched Data

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia


Python/C++ library for distribution power system analysis


Internet of Blockchains ⚛

Survey of crosschain communications protocols

Atomic Crosschain Transactions for Ethereum Private Sidechains

General Purpose Atomic Crosschain Transactions

Verifiable Smart Contract Portability

Distributed Ledger Technologies for Network Slicing: A Survey

Verilay: A Verifiable Proof of Stake Chain Relay

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

Generic Superlight Client for Permissionless Blockchains

SmartSync: Cross-Blockchain Smart Contract Interaction and Synchronization

Research on Multidomain Authentication of IoT Based on Cross-Chain Technology


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

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification

Input Combination Strategies for Multi-Source Transformer Decoder

Neural Monkey: An Open-source Tool for Sequence Learning

The Prague Bulletin of Mathematical Linguistics

CUNI System for the WMT18 Multimodal Translation Task

From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions

Results of the WMT17 Neural MT Training Task

Proceedings of the Second Conference on Machine Translation

Context in Neural Machine Translation: A Review of Models and Evaluations

CUNI System for the WMT17 Multimodal Translation Task


Reverse Mode Automatic Differentiation for Julia

Don't Unroll Adjoint: Differentiating SSA-Form Programs

Competitive Gradient Descent

NLOptControl: A modeling language for solving optimal control problems

AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

Locally Feasibly Projected Sequential Quadratic Programming for Nonlinear Programming on Arbitrary Smooth Constraint Manifolds


HTTP load generator, ApacheBench (ab) replacement

Balanced Leader Distribution Algorithm in Kubernetes Clusters

Local Scheduling in KubeEdge-Based Edge Computing Environment

Engineering and Experimentally Benchmarking a Serverless Edge Computing System

Practical Privacy Preservation in a Mobile Cloud Environment

Predictable Performance for QoS-Sensitive, Scalable, Multi-tenant Function-as-a-Service Deployments

Lecture notes in business information processing

In-Storage Domain-Specific Acceleration for Serverless Computing

Energy Efficient Scheduling for Serverless Systems

Migration of CMSWEB Cluster at CERN to Kubernetes

Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)

Cooling Down FaaS: Towards Getting Rid of Warm Starts

Are Unikernels Ready for Serverless on the Edge?


Minimal PyTorch implementation of YOLOv3

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles

Expandable YOLO: 3D Object Detection from RGB-D Images

DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation

Bone Metastasis Detection in the Chest and Pelvis from a Whole-Body Bone Scan Using Deep Learning and a Small Dataset

A Neuro-Symbolic ASP Pipeline for Visual Question Answering

IPatch: a remote adversarial patch

Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection

Meta-learning algorithms for Few-Shot Computer Vision

A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models


A statically-typed linear functional language with graded modal types for fine-grained program reasoning

Quantitative program reasoning with graded modal types

Proceedings of the ACM on Programming Languages

Resourceful Program Synthesis from Graded Linear Types

Logic-based Program Synthesis and Transformation

Graded Modal Types for Integrity and Confidentiality


An Open-Source Framework for Prompt-Learning.

OpenPrompt: An Open-source Framework for Prompt-learning

Prototypical Verbalizer for Prompt-based Few-shot Tuning

FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

Dynamic Prompting: A Unified Framework for Prompt Tuning

Scalable Prompt Generation for Semi-supervised Learning with Language Models

A Few-shot Approach to Resume Information Extraction via Prompts

Knowledge-Guided Prompt Learning for Few-Shot Text Classification

Towards Legally Enforceable Hate Speech Detection for Public Forums

Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection

Arguments to Key Points Mapping with Prompt-based Learning


torch-optimizer -- collection of optimizers for Pytorch

Asteroid: the PyTorch-based audio source separation toolkit for researchers

Recent Theoretical Advances in Non-Convex Optimization

Revisiting RCAN: Improved Training for Image Super-Resolution

AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

AdaInject: Injection-Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks

Adversarially Optimized Mixup for Robust Classification

Ground Truth Inference for Weakly Supervised Entity Matching

Non-convex Optimization in Digital Pre-distortion of the Signal

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations


Fast parallel CTC.

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Direct Acoustics-to-Word Models for English Conversational Speech Recognition

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier

LSTM Benchmarks for Deep Learning Frameworks

Multilingual Adaptation of RNN Based ASR Systems

Phonemic and Graphemic Multilingual CTC Based Speech Recognition


MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Training of Wasserstein GANs

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Analyzing and Improving the Image Quality of StyleGAN

On the Effectiveness of Least Squares Generative Adversarial Networks

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Spectral Normalization for Generative Adversarial Networks

Self-Attention Generative Adversarial Networks


A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

mixup: Beyond Empirical Risk Minimization

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

AudioCLIP: Extending CLIP to Image, Text and Audio

Balancing Discriminability and Transferability for Source-Free Domain Adaptation

NORESQA: A Framework for Speech Quality Assessment using Non-Matching References

Effects of Data Augmentations on Speech Emotion Recognition

Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional network

Biomedical signal processing and control

Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge

Fall Detection from Audios with Audio Transformers

Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough


Battery evaluation and early prediction

Principles of the Battery Data Genome


PyTorch Extension Library of Optimized Scatter Operations

Fast Graph Representation Learning with PyTorch Geometric

HyGCN: A GCN Accelerator with Hybrid Architecture

Deep Policy Dynamic Programming for Vehicle Routing Problems

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Advances in Geographic Information Systems

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Dynamic 3D Scene Analysis by Point Cloud Accumulation

KALA: Knowledge-Augmented Language Model Adaptation

Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass


Scikit-learn style model finetuning for NLP

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Convolutional Neural Networks for Sentence Classification

Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study


ECMAScript code generator

Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation

Visualizing JIT Compiler Graphs

Systematic adaptation of dynamically generated source code via domain-specific examples

Visualizing The Intermediate Representation of Just-in-Time Compilers


Advanced AI Explainability for computer vision.  Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

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

Grad-CAM: Why did you say that?

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Eigen-CAM: Class Activation Map using Principal Components

International Joint Conference on Neural Network

Full-Gradient Representation for Neural Network Visualization

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

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


Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Deep Neural Networks for Encrypted Inference with TFHE

Privacy-Preserving Tree-Based Inference with TFHE

Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption

TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

Confidential Truth Finding with Multi-Party Computation (Extended Version)

CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption


An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

An Overview of the Water Network Tool for Resilience (WNTR)

WDSA / CCWI Joint Conference Proceedings

Multi-scale planning model for robust urban drought response


A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.

SAFE: Self-Attentive Function Embeddings for Binary Similarity

A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions

Ransomware: Recent advances, analysis, challenges and future research directions

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Dynamic Feature Dataset for Ransomware Detection Using Machine Learning Algorithms

EvilModel: Hiding Malware Inside of Neural Network Models

Peeler: Profiling Kernel-Level Events to Detect Ransomware

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

A Comparative Assessment of Obfuscated Ransomware Detection Methods


Home of the Renovate CLI: Cross-platform Dependency Automation by Mend.io

The GitHub Development Workflow Automation Ecosystems

When conversations turn into work: a taxonomy of converted discussions and issues in GitHub

Is ChatGPT a Good Software Librarian? An Exploratory Study on the Use of
  ChatGPT for Software Library Recommendations


Earthquake detection and analysis in Python.

The 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake: relocated seismicity shows rupture of a complete shear-crack system

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence

Spatiotemporal Variations of Intermediate‐Depth Earthquakes Before and After 2011 Tohoku Earthquake Revealed by a Template Matching Catalog


Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)


fast python port of arc90's readability tool, updated to match latest readability.js!

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

Media Cloud: Massive Open Source Collection of Global News on the Open Web

Complex Claim Verification with Evidence Retrieved in the Wild

VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion

Large Language Model Can Continue Evolving From Mistakes


Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture
  of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward
  Model


Modern Super Learning with Machine Learning Pipelines

Global land characterisation using land cover fractions at 100 m resolution

A Fundamental Measure of Treatment Effect Heterogeneity

Comparison of a Target Trial Emulation Framework vs Cox Regression to Estimate the Association of Corticosteroids With COVID-19 Mortality

Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review

txshift: Efficient estimation of the causal effects of stochastic interventions in R

An Easy Implementation of CV-TMLE

Causal isotonic calibration for heterogeneous treatment effects

Effect of Sepsis on Death as Modified by Solid Organ Transplantation

Adaptive Sequential Design for a Single Time-Series

Targeted learning in observational studies with multi-valued treatments: An evaluation of antipsychotic drug treatment safety


An open-source Python package for creating fast and accurate interatomic potentials.

On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events

Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt

Bayesian force fields from active learning for simulation of inter-dimensional transformation of stanene

Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC

Data-driven simulation and characterisation of gold nanoparticle melting

Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set

Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields

Stability, mechanisms and kinetics of emergence of Au surface reconstructions using Bayesian force fields

Unbiased Atomistic Predictions of Crystal Dislocation Dynamics using Bayesian Force Fields


Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

Neural architecture for question answering using a knowledge graph and web corpus

Efficient SPARQL Autocompletion via SPARQL

Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

MMEAD: MS MARCO Entity Annotations and Disambiguations

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


Easily compute clip embeddings and build a clip retrieval system with them

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

Multimodal datasets: misogyny, pornography, and malignant stereotypes

CLIPstyler: Image Style Transfer with a Single Text Condition

Effective Data Augmentation With Diffusion Models

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment


Easy benchmarking of all publicly accessible implementations of convnets

Very Deep Convolutional Networks for Large-Scale Image Recognition

TensorFlow: A system for large-scale machine learning

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Theano: A Python framework for fast computation of mathematical expressions

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

cuDNN: Efficient Primitives for Deep Learning

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Toolkits and Libraries for Deep Learning


spellchecking library for python

Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation

International Conference on Computational Linguistics

Context-Aware Social Media User Sentiment Analysis

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

Open Information Extraction from Question-Answer Pairs

Context-Sensitive Malicious Spelling Error Correction

HateMM: A Multi-Modal Dataset for Hate Video Classification

“Are you kidding me?”: Detecting Unpalatable Questions on Reddit

Conference of the European Chapter of the Association for Computational Linguistics

Exploring Natural Language Processing in Model-To-Model Transformations

Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system

A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction


Simple HTTP and REST client for Ruby, inspired by microframework syntax for specifying actions.

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Measuring and Preventing Supply Chain Attacks on Package Managers.


Algebraic Multigrid Solvers in Python

Learning Algebraic Multigrid Using Graph Neural Networks

Mosaic flows: A transferable deep learning framework for solving PDEs on unseen domains

Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh

Surface multigrid via intrinsic prolongation

Attraction-Repulsion Spectrum in Neighbor Embeddings

Deep Multigrid: learning prolongation and restriction matrices

Efficient Low-Order Refined Preconditioners for High-Order Matrix-Free Continuous and Discontinuous Galerkin Methods

AMGNET: multi-scale graph neural networks for flow field prediction

Scalable atomistic simulations of quantum electron transport using empirical pseudopotentials

PyMatting: A Python Library for Alpha Matting


A Neural Framework for MT Evaluation

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

Unsupervised Cross-lingual Representation Learning at Scale

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

COMET: A Neural Framework for MT Evaluation

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Learning Joint Multilingual Sentence Representations with Neural Machine Translation

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task


H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Benchmark and Survey of Automated Machine Learning Frameworks

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

International Conference on Tools with Artificial Intelligence

Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property

Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation

More than half of data deficient species predicted to be threatened by extinction

Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study


The Real-time COVID-19 Status in Australia

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

Open Data Resources for Fighting COVID-19

Software Engineers‘ Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard


Python-based Astronomical image reprojection :milky_way: - maintainer @astrofrog

SuperBoRG: Search for the Brightest of Reionizing Galaxies and Quasars in HST Parallel Imaging Data

The Astrophysical Journal Supplement Series

Spatially resolved mass–metallicity relation at z ∼ 0.26 from the MUSE-Wide Survey

Evolution of Nonparametric Morphology of Galaxies in the JWST CEERS Field at z ≃ 0.8–3.0

Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit

Cosmic evolution of FRI and FRII sources out to z=2.5

Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology

Evolution of Non-parametric Morphology of Galaxies in the JWST CEERS Field at z≃0.8-3.0


Uniform metadata schema for buildings

A case study comparing the completeness and expressiveness of two industry recognized ontologies

Formalizing Tag-Based Metadata With the Brick Ontology


All the code for Bike Index, because we love you


Analysis & visualization of energy & climate scenarios

pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework

pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems

Understanding Climate Risk in Future Energy Systems An Energy-Climate Data Hackathon

Bulletin of the American Meteorological Society


ESA CCI Toolbox (Cate)


node security platform command-line tool

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions

Measuring and Preventing Supply Chain Attacks on Package Managers.

Examining the Capacity of Text Mining and Software Metrics in Vulnerability Prediction

Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics


A Julia Basket of Hand-Picked Krylov Methods

TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-Definite Systems

BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property

Resolving entropy growth from iterative methods

GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems

Towards Robust Solvers for Nuclear Fusion Simulations Using JOREK: A Numerical Analysis Perspective


Tree based hydrologic and hydraulic routing


新浪微博爬虫，用python爬取新浪微博数据，并下载微博图片和微博视频

Division of Chinese opinion on Russia-Ukraine War: Analyzing Key Actors’ Strategic Framing on Weibo

European Journal of Law and Political Science

Understanding Patterns of Users Who Repost Censored Posts on Weibo


The tools for your .cool's

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

Transcription shapes 3D chromatin organization by interacting with loop extrusion

Cooltools: Enabling high-resolution Hi-C analysis in Python

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

Suppression of liquid-liquid phase separation by 1,6-hexanediol partially compromises the 3D genome organization in living cells

Conformation of sister chromatids in the replicated human genome

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML

Order and stochasticity in the folding of individual Drosophila genomes

Reorganized 3D Genome Structures Support Transcriptional Regulation in Mouse Spermatogenesis


Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Radiomics in medical imaging—“how-to” guide and critical reflection

Repeatability of Multiparametric Prostate MRI Radiomics Features

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

18F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia

Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas

Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson’s disease and multiple system atrophy

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer


A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

On Neural Differential Equations

GalaxyFlow: Upsampling Hydrodynamical Simulations for Realistic Gaia Mock Catalogs

Neural Contractive Dynamical Systems


The analysis repository for the Open Pediatric Brain Tumor Atlas Project

Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

OpenPBTA: The Open Pediatric Brain Tumor Atlas

An RNA seq-based reference landscape of human normal and neoplastic brain

bioRxiv : the preprint server for biology

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences

Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors

The Open Pediatric Cancer Project


Program for analysing NGS data.

Reconstructing the Deep Population History of Central and South America

Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series

Interspecific Gene Flow Shaped the Evolution of the Genus Canis

The Genomic Footprints of the Fall and Recovery of the Crested Ibis

Inferring Balancing Selection From Genome-Scale Data

Authentication and Assessment of Contamination in Ancient DNA

Methods in molecular biology (Clifton, N.J.)

Origin and mobility of Iron Age Gaulish groups in present-day France revealed through archaeogenomics

Testing the ‘caves as islands’ model in two cave-obligate invertebrates with a genomic approach


中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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

CLUE: A Chinese Language Understanding Evaluation Benchmark

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

OCNLI: Original Chinese Natural Language Inference

Datasets for Large Language Models: A Comprehensive Survey

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

MarkBERT: Marking Word Boundaries Improves Chinese BERT

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words


efficient tools for LiDAR processing

Reconstruction and Efficient Visualization of Heterogeneous 3D City Models

Interactive Visualization of Terascale Data in the Browser: Fact or Fiction?

Automatic Annotation of Airborne Images by Label Propagation Based on a Bayesian-CRF Model

Space- and Time-Efficient Storage of LiDAR Point Clouds

String Processing and Information Retrieval