PROBABILISTIC FORECASTING OF THE MASSES AND RADII OF OTHER WORLDS

Large Interferometer For Exoplanets (LIFE)

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

Detecting Exomoons from Radial Velocity Measurements of Self-luminous Planets: Application to Observations of HR 7672 B and Future Prospects

Beyond the exoplanet mass-radius relation

Can planetary rings explain the extremely low density of HIP 41378 ��?

KELT-18b: Puffy Planet, Hot Host, Probably Perturbed

California-Kepler Survey. IX. Revisiting the Minimum-mass Extrasolar Nebula with Precise Stellar Parameters

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone

Properties of sub-Neptune atmospheres: TOI-270 system

Monthly Notices of the Royal Astronomical Society


Fast exact nearest neighbor search in Hamming distance on binary codes with Multi-index hashing

Fast Exact Search in Hamming Space with Multi-Index Hashing

Improved Search in Hamming Space using Deep Multi-Index Hashing

Unsupervised Multi-Index Semantic Hashing

Deep Multi-Index Hashing for Person Re-Identification


document image degradation

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

Journal for Language Technology and Computational Linguistics

Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation


'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

Distilling the Knowledge in a Neural Network

Masked Generative Distillation

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels

ViTKD: Practical Guidelines for ViT feature knowledge distillation

Rethinking Knowledge Distillation via Cross-Entropy

ViTKD: Feature-based Knowledge Distillation for Vision Transformers


node2vec implementation in C++

node2vec: Scalable Feature Learning for Networks

VERSE: Versatile Graph Embeddings from Similarity Measures

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Massively Parallel Graph Drawing and Representation Learning


Power Law Distribution Fitting in python (and fortran and cython)

ALMA Observations of Massive Clouds in the Central Molecular Zone: Jeans Fragmentation and Cluster Formation

THE BOLOCAM GALACTIC PLANE SURVEY. XIII. PHYSICAL PROPERTIES AND MASS FUNCTIONS OF DENSE MOLECULAR CLOUD STRUCTURES

Protostellar Cores in Sagittarius B2 N and M


RNA-Seq Mutation Detection

Ageing-associated changes in transcriptional elongation influence longevity

Next-generation sequencing identifies major DNA methylation changes during progression of Ph+ chronic myeloid leukemia

Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells

Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways


Integer programming based prediction of RNA secondary structures with pseudoknots

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Integrated pretraining with evolutionary information to improve RNA secondary structure prediction


Learning multiple visual domains with residual adapters

Efficient parametrization of multi-domain deep neural networks

Multi-domain Learning for Updating Face Anti-spoofing Models


Commonsense Explanations Dataset and Code

Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Measuring Association Between Labels and Free-Text Rationales

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

A Study of Automatic Metrics for the Evaluation of Natural Language Explanations

Commonsense Evidence Generation and Injection in Reading Comprehension

MPII: Multi-Level Mutual Promotion for Inference and Interpretation

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


Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps[AAAI2021]

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018


White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images

Deep White-Balance Editing

Image color correction, enhancement, and editing


[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results


Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

Knowledge Association with Hyperbolic Knowledge Graph Embeddings

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment

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

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

A Self-supervised Method for Entity Alignment

Multi-Modal Entity Alignment Method Based on Feature Enhancement


Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Prioritized Level Replay

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Evolving Curricula with Regret-Based Environment Design

Replay-Guided Adversarial Environment Design

Stabilizing Unsupervised Environment Design with a Learned Adversary


ggplot extension: options for tailored facets, multiple colourscales and miscellaneous

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Unravelling the Evolutionary Dynamics of High-Risk Klebsiella pneumoniae ST147 Clones: Insights from Comparative Pangenome Analysis

Entropy predicts sensitivity of pseudorandom seeds


Convolutional Recurrent Neural Networks for Music Classification

Automatic tagging using deep convolutional neural networks

Semi-supervised Music Tagging Transformer


Domino: Discovering Systematic Errors with Cross-Modal Embeddings

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models

Adaptive Testing of Computer Vision Models

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms

Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models


MLP-Like Vision Permutator for Visual Recognition (PyTorch)

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer


Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking

Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery

Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images


Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

Knowledge Enhanced Reflection Generation for Counseling Dialogues

Analyzing Stereotypes in Generative Text Inference Tasks

Meeting of the Association for Computational Linguistics

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Dual Task Framework for Improving Persona-grounded Dialogue Dataset

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

CLICK: Integrating Causal Inference and Commonsense Knowledge Incorporation for Counterfactual Story Generation


Code for "Generative Code Modeling with Graphs" (ICLR'19)

Learning to Represent Programs with Graphs

Generative Code Modeling with Graphs

Open Vocabulary Learning on Source Code with a Graph-Structured Cache


Discovering known and novel miRNAs from small RNA sequencing data

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Identification and characterization of differentially expressed exosomal microRNAs in bovine milk infected with Staphylococcus aureus

High Throughput Sequencing of MicroRNA in Rainbow Trout Plasma, Mucus, and Surrounding Water Following Acute Stress

Transcriptome and chromatin accessibility in porcine intestinal epithelial cells upon Zearalenone exposure

High-Throughput Sequencing-Based Identification of miRNAs and Their Target mRNAs in Wheat Variety Qing Mai 6 Under Salt Stress Condition

Transcriptome and miRNA Profiles of Black Tiger Shrimp, Penaeus monodon, Under Different Salinity Conditions

Integration of miRNA and mRNA Co-Expression Reveals Potential Regulatory Roles of miRNAs in Developmental and Immunological Processes in Calf Ileum during Early Growth

Comprehensive Analysis of Serum Small Extracellular Vesicles-Derived Coding and Non-Coding RNAs from Retinoblastoma Patients for Identifying Regulatory Interactions

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements

Signal-noise metrics for RNA binding protein identification reveal broad spectrum protein-RNA interaction frequencies and dynamics


Genetic risk prediction integrating LD and functional annotations

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improved genetic prediction of complex traits from individual-level data or summary statistics

Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction

Polygenic risk scores: effect estimation and model optimization


PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learning

Speech Model Pre-training for End-to-End Spoken Language Understanding

Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation

Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification

Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification


End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. Additional material and updates.

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

IEEE International Conference on Electronics and Nanotechnology

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics


ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation

Exploring the taxonomic and functional diversity of marine benthic micro-Eukaryotes along the Red Sea coast of Jeddah city


Multiscale Point Cloud Geometry Compression

Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression


Python implementation of the Global Sky Model (GSM) for the radio sky between 10 MHz - 5 THz

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Measuring the global 21-cm signal with the MWA-I: improved measurements of the Galactic synchrotron background using lunar occultation

Monthly notices of the Royal Astronomical Society

Characterization of the SKA1-Low prototype station Aperture Array Verification System 2

Detecting the power spectrum turnover with HI intensity mapping

Quantifying EoR delay spectrum contamination from diffuse radio emission

A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping

A Clustered Extragalactic Foreground Model for the EoR

Proceedings of the International Astronomical Union

Discoveries and timing of pulsars in M62

Simulation-based Inference of Reionization Parameters from 3D Tomographic 21 cm Light-cone Images -- II: Application of Solid Harmonic Wavelet Scattering Transform

All Sky Modelling Requirements for Bayesian 21 cm Power Spectrum Estimation with BayesEoR


An R Interface and Post-Processing Framework for PhenoCam Web Services

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset


Collection of NLP model explanations and accompanying analysis tools

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools


:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

hal9001: Scalable highly adaptive lasso regression in R

Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials

Nonparametric inverse probability weighted estimators based on the highly adaptive lasso

Nonparametric causal mediation analysis for stochastic interventional (in)direct effects

Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis

Causal Inference for Continuous Multiple Time Point Interventions


TensorNet (TensorFlow implementation)

Tensorizing Neural Networks

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Ultimate tensorization: compressing convolutional and FC layers alike


PAired-eND Assembler for DNA sequences

New Primers for Discovering Fungal Diversity Using Nuclear Large Ribosomal DNA

High molecular weight dissolved organic matter enrichment selects for methylotrophs in dilution to extinction cultures

Association Between Breastmilk Microbiota and Food Allergy in Infants

Frontiers in cellular and infection microbiology

Characteristics of Gut Microbiota in Patients with GH-Secreting Pituitary Adenoma

Association of gut microbiota with sort-chain fatty acids and inflammatory cytokines in diabetic patients with cognitive impairment: A cross-sectional, non-controlled study

Diammonium Glycyrrhizinate Ameliorates Obesity Through Modulation of Gut Microbiota-Conjugated BAs-FXR Signaling

The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau

Conjunctival Microbiota in Patients With Type 2 Diabetes Mellitus and Influences of Perioperative Use of Topical Levofloxacin in Ocular Surgery

Imaging the in vivo growth patterns of bacteria in human gut Microbiota

Relationship between maternal–infant gut microbiota and infant food allergy


A Knowledge Graph for Relational Learning On Biological Data

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs


[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".

Fine-tuned CLIP Models are Efficient Video Learners


Turbospectrum v20 with NLTE capability

Observational constraints on the origin of the elements. VII. NLTE analysis of Y II lines in spectra of cool stars and implications for Y as a Galactic chemical clock

Combined analysis of stellar and planetary absorption lines via global forward-transit simulations

Titans metal-poor reference stars II. Red giants and CEMP stars

Observational constraints on the origin of the elements. VIII. Constraining the Barium, Strontium and Yttrium chemical evolution in metal-poor stars


VcfExplorer regroups several programs which principal aims are to map DNA and RNAseq data onto reference genome sequence, perform variant calling, manipulate vcf files, perform chromosome painting of accessions based on the contribution of ancestral groups, select marker for genetic map analysis and perform pairwise chromosome linkage of ordered markers.

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Genome ancestry mosaics reveal multiple and cryptic contributors to cultivated banana

The Plant journal : for cell and molecular biology

Unravelling the complex story of intergenomic recombination in ABB allotriploid bananas

Three founding ancestral genomes involved in the origin of sugarcane

Shared pedigree relationships and transmission of unreduced gametes in cultivated banana

Genomic Instability in Somatic Hybridization between Poncirus and Citrus Species Aiming to Create New Rootstocks

Construction of a High-Density Genetic Map for Pitaya Using the Whole Genome Resequencing Approach

Karyotyping of aneuploid and polyploid plants from low coverage whole-genome resequencing


[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

Instruction Tuning for Large Language Models: A Survey

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

How Does In-Context Learning Help Prompt Tuning?

Aligning Language Models with Human Preferences via a Bayesian Approach

Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers


Software for clustering de novo assembled transcripts and counting overlapping reads

A simple guide to de novo transcriptome assembly and annotation

Transcriptomic analysis of crustacean neuropeptide signaling during the moult cycle in the green shore crab, Carcinus maenas

De novo assembly of Persea americana cv. ‘Hass’ transcriptome during fruit development

De Novo Transcriptome Sequencing of Rough Lemon Leaves (Citrus jambhiri Lush.) in Response to Plenodomus tracheiphilus Infection

International journal of molecular sciences

Comparative transcriptomic analysis of a wing-dimorphic stonefly reveals candidate wing loss genes

De Novo Transcriptome Sequencing in Kiwifruit (Actinidia chinensis var. deliciosa (A Chev) Liang et Ferguson) and Development of Tissue-Specific Transcriptomic Resources

Transcriptome analysis of lemon leaves (Citrus limon) infected by Plenodomus tracheiphilus reveals the effectiveness of Pseudomonas mediterranea in priming the plant response to mal secco disease

Embryonic gene transcription in the spiny mouse (Acomys cahirinus): an investigtion into the embryonic genome activation

Transcriptional Comparison of New Hybrid Progenies and Clone-Cultivars of Tea (Camellia sinensis L.) Associated to Catechins Content

AlliumDB: a central portal for comparative and functional genomics in Allium


kinfitr: PET Kinetic Modelling Using R

Open and reproducible neuroimaging: From study inception to publication

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Assessment of simplified ratio-based approaches for quantification of PET [11C]PBR28 data

D1-Dopamine Receptor Availability in First-Episode Neuroleptic Naive Psychosis Patients

The international journal of neuropsychopharmacology

Accuracy and reliability of [11C]PBR28 specific binding estimated without the use of a reference region

kinfitr: Reproducible PET Pharmacokinetic Modelling in R


Simple code to read mangle masks, calculate ids and weights, and generate random points

Updated results on the galaxy–halo connection from satellite kinematics in SDSS

The dependence of galaxy clustering on tidal environment in the Sloan Digital Sky Survey

Brightest galaxies as halo centre tracers in SDSS DR7

Maturing satellite kinematics into a competitive probe of the galaxy–halo connection

Full forward model of galaxy clustering statistics with AbacusSummit lightcones

Constraining gravity with a new precision E_G estimator using Planck + SDSS BOSS


Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

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

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

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

Semantic-based Pre-training for Dialogue Understanding

Text Generation Model Enhanced with Semantic Information in Aspect Category Sentiment Analysis

Findings of the Association for Computational Linguistics: ACL 2023

Bridging Semantic Frameworks: mapping DRS onto AMR

International Conference on Computational Semantics

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


Get hourly meteorological data from one of thousands of global stations

COVID-19 pandemic dynamics in South Africa and epidemiological characteristics of three variants of concern (Beta, Delta, and Omicron)

medRxiv : the preprint server for health sciences

Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010-2014

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

Development of Accurate Long-lead COVID-19 Forecast


Solving LPs with convergent message passing

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems

A Novel Convex Relaxation for Non-binary Discrete Tomography

Scale Space and Variational Methods in Computer Vision


Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult

Stability of SARS-CoV-2 phylogenies

Emergence of immune escape at dominant SARS-CoV-2 killer T-cell epitope

SARS-CoV-2 outbreak in a tri-national urban area is dominated by a B.1 lineage variant linked to a mass gathering event

Accelerated evolution of SARS-CoV-2 in free-ranging white-tailed deer

No detectable signal for ongoing genetic recombination in SARS-CoV-2

A phylogeny-based metric for estimating changes in transmissibility from recurrent mutations in SARS-CoV-2

CoVizu: Rapid analysis and visualization of the global diversity of SARS-CoV-2 genomes

Regional importation and asymmetric within-country spread of SARS-CoV-2 variants of concern in the Netherlands

Estimating the relative proportions of SARS-CoV-2 haplotypes from wastewater samples


NAS-Bench-101: Towards Reproducible Neural Architecture Search

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

Speedy Performance Estimation for Neural Architecture Search

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.

Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

Batch Bayesian optimisation via density-ratio estimation with guarantees


16S taxonomy assignment using an ecosystem-specific database.

Bacterial Community Composition and Dynamics Spanning Five Years in Freshwater Bog Lakes

TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution

Microbial communities of the Laurentian Great Lakes reflect connectivity and local biogeochemistry

Cyanobacterial Community Composition and Bacteria–Bacteria Interactions Promote the Stable Occurrence of Particle-Associated Bacteria

Niche Separation Increases With Genetic Distance Among Bloom-Forming Cyanobacteria

Ananke: Temporal clustering reveals ecological dynamics of microbial communities


HBT+ subhalo finder and merger tree builder, the tool to get you out of mess and back to physics.

Hunting for galaxies and halos in simulations with VELOCIraptor

Publications of the Astronomical Society of Australia

HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations.

Monthly Notices of the Royal Astronomical Society

The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment

A natural boundary of dark matter haloes revealed around the minimum bias and maximum infall locations

First measurement of the characteristic depletion radius of dark matter haloes from weak lensing

Orbital Distribution of Infalling Satellite Halos across Cosmic Time

Physical Evolution of Dark Matter Halo around the Depletion Boundary

Halo Merger Tree Comparison: Impact on Galaxy Formation Models

CSST large-scale structure analysis pipeline: I. Constructing reference mock galaxy redshift surveys

A natural boundary of dark matter halo revealed at the minimum bias and maximum infall location.


Similarity search in the blink of an eye with compressed indices

Locally-Adaptive Quantization for Streaming Vector Search

LeanVec: Searching vectors faster by making them fit


R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding

Massive mining of publicly available RNA-seq data from human and mouse

Metabolic landscape of the tumor microenvironment at single cell resolution

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models

Alterations in ALK/ROS1/NTRK/MET drive a group of infantile hemispheric gliomas

Single-cell RNA sequencing reveals midbrain dopamine neuron diversity emerging during mouse brain development

t-Distributed Stochastic Neighbor Embedding (t-SNE): A tool for eco-physiological transcriptomic analysis

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease

Retinoblastoma from human stem cell-derived retinal organoids

FoxA1 and FoxA2 drive gastric differentiation and suppress squamous identity in NKX2-1-negative lung cancer


Resources for calling and describing the circulating lineages of SARS-CoV-2

A SARS-CoV-2 vaccine candidate would likely match all currently circulating variants

First COVID-19 case in Zambia — Comparative phylogenomic analyses of SARS-CoV-2 detected in African countries

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

SARS-CoV-2 outbreak in a tri-national urban area is dominated by a B.1 lineage variant linked to a mass gathering event

Genetic tracing of HCoV-19 for the re-emerging outbreak of COVID-19 in Beijing, China

SARS-CoV-2 phylogeny during the early outbreak in the Basel area, Switzerland: import and spread dominated by a single B.1 lineage variant (C15324T)

On the Origin and Propagation of the COVID-19 Outbreak in the Italian Province of Trento, a Tourist Region of Northern Italy


Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

Label-Free Segmentation of COVID-19 Lesions in Lung CT

COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net

Video Polyp Segmentation: A Deep Learning Perspective

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment

International journal of environmental research and public health


Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance

Metagenomics of Wastewater Influent from Wastewater Treatment Facilities across Ontario in the Era of Emerging SARS-CoV-2 Variants of Concern

Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India


This package simulates the behaviors of an ensemble of phytoplankton individuals.

PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model


This is the documentation repository for ongoing releases to the NDA collection 3165.  Please add GitHub Issues here for requests or feedback.

Reproducible brain-wide association studies require thousands of individuals

Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and Utilities

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence

Predicting depression risk in early adolescence via multimodal brain imaging


Multidimensional atmospheric retrieval of exoplanet spectra.

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

Atmospheric Reconnaissance of TRAPPIST-1 b with JWST/NIRISS: Evidence for Strong Stellar Contamination in the Transmission Spectra

JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b

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

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


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

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

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

An Approach to Reinforce Multipath TCP with Path-Aware Information

G-SINC: Global Synchronization Infrastructure for Network Clocks


This repository supports epidemiological and disease-dynamic analyses of data from the REal Time Assessment of Community Transmission (REACT) study. It includes both code and data. For code-related enquiries please contact Oliver Eales: oliver.eales@unimelb.edu.au

Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant

Rapid increase in Omicron infections in England during December 2021: REACT-1 study

Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people

Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England

Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number

Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys

Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study

Local prevalence of transmissible SARS-CoV-2 infection : an integrative causal model for debiasing fine-scale targeted testing data


Monitorización de alumnos en la plataforma Moodle

Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

Usefulness of Digital Game-Based Learning in Nursing and Occupational Therapy Degrees: A Comparative Study at the University of Burgos

UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle

Teacher Training Effectiveness in Self-Regulation in Virtual Environments


A comprehensive benchmark for Graph Structure Learning.

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Graph-Revised Convolutional Network

Compact Graph Structure Learning via Mutual Information Compression

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning


Python/numpy bootstrap confidence interval estimation.

Stability of working memory in continuous attractor networks under the control of short-term plasticity

Numerical test of the Edwards conjecture shows that all packings are equally probable at jamming

The Drosophila microbiome has a limited influence on sleep, activity, and courtship behaviors

CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations

Elastic moduli fluctuations predict wave attenuation rates in glasses

Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures

Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays

Abstractive Compression of Captions with Attentive Recurrent Neural Networks

International Conference on Natural Language Generation


High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Bayesian inversion of marine CSEM data with a trans-dimensional self parametrizing algorithm

Trans-dimensional Bayesian inversion of airborne transient EM data from Taylor Glacier, Antarctica

Bayesian geophysical inversion with trans-dimensional Gaussian process machine learning

Bayesian inversion using nested trans-dimensional Gaussian processes


3D/4D volumetric rendering of microscopy data

Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy

Nested neural circuits generate distinct acoustic signals during Drosophila courtship

A modular circuit architecture coordinates the diversification of courtship strategies in Drosophila

New genetic tools for mushroom body output neurons in Drosophila


[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

A Large-Scale Study of ML-Related Python Projects


Open source Emoticons and Emoji detection library: emot

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Leveraging Multilingual Transformers for Hate Speech Detection

Assessing Canadians Health Activity and Nutritional Habits Through Social Media

Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling

Perspectives of Non-Expert Users on Cyber Security and Privacy: An Analysis of Online Discussions on Twitter

One to rule them all: Towards Joint Indic Language Hate Speech Detection

Efficient Twitter Data Cleansing Model for Data Analysis of the Pandemic Tweets

Studies in systems, decision and control

Demonstrating the Reliability of Self-Annotated Emotion Data

Workshop on Computational Linguistics and Clinical Psychology

Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot's Self-Disclosure in Conversational Recommendations

CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets

Empirical Methods in Natural Language Processing


NCBI Prokaryotic Genome Annotation Pipeline

Database resources of the National Center for Biotechnology Information.

VADR: validation and annotation of virus sequence submissions to GenBank

RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes

Genome-resolved metagenomics using environmental and clinical samples

A model industrial workhorse: Bacillus subtilis strain 168 and its genome after a quarter of a century

Comparative Genomics of Xylella fastidiosa Explores Candidate Host-Specificity Determinants and Expands the Known Repertoire of Mobile Genetic Elements and Immunity Systems

Comparative Genomic Analysis Determines the Functional Genes Related to Bile Salt Resistance in Lactobacillus salivarius

Within-Host Microevolution of Pseudomonas aeruginosa Urinary Isolates: A Seven-Patient Longitudinal Genomic and Phenotypic Study

De-novo Assembly of Limnospira fusiformis Using Ultra-Long Reads

Complete Genome Sequence, Genome Stability and Phylogeny of the Vaccine Strain Mycobacterium bovis BCG SL222 Sofia


Load fMRIprep confounds in python

Methods to detect, characterize, and remove motion artifact in resting state fMRI

fMRIPrep: a robust preprocessing pipeline for functional MRI

ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

Evaluation of denoising strategies for task-based functional connectivity: Equalizing residual motion artifacts between rest and cognitively demanding tasks

Improved motion correction for functional MRI using an omnibus regression model

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalizable improvements in brain encoding and downstream tasks


R package to access DoRothEA's regulons

ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination

BACH1 deficiency prevents neointima formation and maintains the differentiated phenotype of vascular smooth muscle cells by regulating chromatin accessibility

Single-Cell Analysis Identify Transcription Factor BACH1 as a Master Regulator Gene in Vascular Cells During Aging

Frontiers in cell and developmental biology

Gene Expression Monotonicity across Bladder Cancer Stages Informs on the Molecular Pathogenesis and Identifies a Prognostic Eight-Gene Signature


Repository for the TRANSIT and TPP tools developed by the Ioerger Lab

TRANSIT - A Software Tool for Himar1 TnSeq Analysis

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes

Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression


netZooPy is a network biology package implemented in Python.

gpuZoo: Cost-effective estimation of gene regulatory networks using the Graphics Processing Unit

Gene Network Analyses Identify Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes

Cell-Specific Gene Networks and Drivers in Rheumatoid Arthritis Synovial Tissues


ELKI Data Mining Toolkit

Modern hierarchical, agglomerative clustering algorithms

Precision-Recall-Gain Curves: PR Analysis Done Right

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Barnes-Hut-SNE

A Framework for Clustering Uncertain Data

Fast and Provably Good Seedings for k-Means

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast K-Means with Accurate Bounds

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

Improving the Cluster Structure Extracted from OPTICS Plots


A heap memory profiler for Linux

tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads

International Conference on Cluster Computing

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

COMPUTING ARBITRARILY LARGE MESHES WITH LEVEL-OF-DETAIL SUPPORT FOR CESIUM 3D TILES

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

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


Hyperledger Fabric SDK for Node https://wiki.hyperledger.org/display/fabric

Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids

Integrating Edge Intelligence and Blockchain: What, Why, and How

IEEE Communications Surveys and Tutorials

Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Blockchain Regulated Verifiable and Automatic Key Refreshment Mechanism for IoT

Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management


A modular embodied agent architecture and platform for building embodied agents

Navigating to Objects in the Real World

Structured World Models from Human Videos

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Toward Grounded Commonsense Reasoning

droidlet: modular, heterogenous, multi-modal agents


[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

Learning Transferable Visual Models From Natural Language Supervision

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained
  Representations


Tensorflow implementation for DilatedRNN

Dilated Recurrent Neural Networks

Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm

Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets


PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

Making Pre-trained Language Models Better Few-shot Learners

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models


The NOX Controller

Programmable In-Network Security for Context-aware BYOD Policies

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

An SDN-Based Approach to Ward Off LAN Attacks

Journal of Computer Networks and Communications

Q-learning based distributed denial of service detection

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


[ICCVW 2019] A Global-local Embedding Module for Fashion Landmark Detection

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

A Global-Local Emebdding Module for Fashion Landmark Detection


10x Genomics Linked-Read Alignment, Variant Calling, Phasing, and Structural Variant Calling

Benchmarking challenging small variants with linked and long reads

Genome sequence of Malania oleifera, a tree with great value for nervonic acid production

Improved contiguity of the threespine stickleback genome using long-read sequencing

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Hap10: reconstructing accurate and long polyploid haplotypes using linked reads

A chromosome-level reference genome for the common octopus,Octopus vulgaris(Cuvier, 1797)

Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks

Mapping the Complex Genetic Landscape of Human Neurons

Mapping recurrent mosaic copy number variation in human neurons

Gene disruption by structural mutations drives selection in US rice breeding over the last century


hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

hp-VPINNs: Variational physics-informed neural networks with domain decomposition

Computer Methods in Applied Mechanics and Engineering

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries


A survey of localized sequence rearrangements in human DNA

Robust detection of tandem repeat expansions from long DNA reads

Genome assembly of a Mesoamerican derived variety of lima bean: a foundational cultivar in the Mid-Atlantic USA

DNA Conserved in Diverse Animals Since the Precambrian Controls Genes for Embryonic Development


PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)

Denoising Diffusion Probabilistic Models

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search


Code for the TriviaQA reading comprehension dataset

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

English Machine Reading Comprehension Datasets: A Survey

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

DsDm: Model-Aware Dataset Selection with Datamodels

DataComp-LM: In search of the next generation of training sets for
  language models

Fast Reading Comprehension with ConvNets

A Frustratingly Easy Improvement for Position Embeddings via Random Padding


Active Learning for Convolutional Neural Networks: A Core-Set Approach

Learning Loss for Active Learning

Variational Adversarial Active Learning

Sequential Graph Convolutional Network for Active Learning

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

Subsidiary Prototype Alignment for Universal Domain Adaptation

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation


Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph neural network for traffic forecasting: A survey

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


a python package for eXtreme Angular Resolution Astronomy

Kernel phase imaging with VLT/NACO: high-contrast detection of new candidate low-mass stellar companions at the diffraction limit

Monthly notices of the Royal Astronomical Society

Performance of near-infrared high-contrast imaging methods with JWST from commissioning

Kernel-phase analysis: Aperture modeling prescriptions that minimize calibration errors

The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope. IV. Aperture Masking Interferometry

Kernel-phase detection limits

Recovering saturated images for high dynamic kernel-phase analysis - Application to the determination of dynamical masses for the system Gl 494AB

The Near Infrared Imager and Slitless Spectrograph for JWST. V. Kernel Phase Imaging and Data Analysis

High-resolution survey for planetary companions to young stars in the Taurus molecular cloud

Monthly Notices of the Royal Astronomical Society

Angular differential kernel phases

Mid-infrared photometry of the T Tauri triple system with kernel phase interferometry


A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).

Model Predictive Optimized Path Integral Strategies

On the Benefits of GPU Sample-Based Stochastic Predictive Controllers
  for Legged Locomotion

PACC: A Passive-Arm Approach for High-Payload Collaborative Carrying
  with Quadruped Robots Using Model Predictive Control


Lexical Simplification with Pretrained Encoders

LSBert: Lexical Simplification Based on BERT

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

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

LSBert: A Simple Framework for Lexical Simplification

ALEXSIS: A Dataset for Lexical Simplification in Spanish

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Text Simplification for Legal Domain: {I}nsights and Challenges

Proceedings of the Natural Legal Language Processing Workshop 2022

A Simple BERT-Based Approach for Lexical Simplification

MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification
  Resources for Catalan and Spanish


Mitigating Adversarial Effects Through Randomization

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

BUZz: BUffer Zones for defending adversarial examples in image classification


Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs

Lossy Image Compression with Quantized Hierarchical VAEs

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs


Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

Noisier2Noise: Learning to Denoise from Unpaired Noisy Data

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era

Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography


MUMmer for HPC

Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions

Research in Computational Molecular Biology

MinCall - MinION end2end convolutional deep learning basecaller

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada

Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design


Source codes for the paper "Learning Diverse Features with Part-Level Resolution for Person Re-Identification"

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

An Effective Adversarial Attack on Person Re-Identification in Video Surveillance via Dispersion Reduction


The implementations of various baselines in our CIKM 2022 paper: ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

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

End-to-End Object Detection with Transformers


This is a one-off Nextstrain build for SARS-like coronaviruses

Molecular immune pathogenesis and diagnosis of COVID-19

The SARS-CoV-2 Coronavirus and the COVID-19 Outbreak

International braz j urol : official journal of the Brazilian Society of Urology

Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools


Provide normal insulator images captured by UAVs and synthetic defective insulator images.

Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis

Insu-YOLO: An Insulator Defect Detection Algorithm Based on Multiscale Feature Fusion

A Lightweight Algorithm for Insulator Target Detection and Defect Identification

An Improved Algorithm for Insulator and Defect Detection Based on YOLOv4

Insulator Defect Detection Based on ML-YOLOv5 Algorithm

Weather-Domain Transfer-Based Attention YOLO for Multi-Domain Insulator Defect Detection and Classification in UAV Images

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network


Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

Graph-based Molecular Representation Learning

Hierarchical Molecular Graph Self-Supervised Learning for property prediction

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction


Generalization Ability of MOS Prediction Networks

Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model

Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback

Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features

Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualities

Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization


Codes for papers on Large Language Models Personalization (LaMP)

LaMP: When Large Language Models Meet Personalization

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Few-shot Personalization of LLMs with Mis-aligned Responses


PubLayNet: largest dataset ever for document layout analysis

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

DocBank: A Benchmark Dataset for Document Layout Analysis

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis


A code for "Tree-Structured Neural Topic Model" in ACL2020

Tree-Structured Neural Topic Model

Meeting of the Association for Computational Linguistics

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Nonparametric Forest-Structured Neural Topic Modeling

International Conference on Computational Linguistics


Cryoshpere And Remote Sensing Toolkit

Accelerating glacier mass loss on Franz Josef Land, Russian Arctic

Massive destabilization of an Arctic ice cap

Satellite-derived volume loss rates and glacier speeds for the Juneau Icefield, Alaska

The Possible Transition From Glacial Surge to Ice Stream on Vavilov Ice Cap

Cryosphere And Remote Sensing Toolkit (CARST) v1.0.1


COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

Recent Progress in Transformer-based Medical Image Analysis

FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information

Detecting Coronavirus from Chest X-rays Using Transfer Learning

A survey on deep learning models for detection of COVID-19


This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.

Antigen-Specific Antibody Design via Direct Energy-based Preference
  Optimization

Full-Atom Protein Pocket Design via Iterative Refinement

ProteinBench: A Holistic Evaluation of Protein Foundation Models


Predicting Factuality of Reporting and Bias of News Media Sources

What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

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

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing

Interactively Learning Social Media Representations Improves News Source Factuality Detection

Reliability Estimation of News Media Sources: Birds of a Feather Flock
  Together

The Challenges of Machine Learning for Trust and Safety: A Case Study on Misinformation Detection


This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Hierarchically Regularized Deep Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting


Sparse4D v1 & v2

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

SparseDrive: End-to-End Autonomous Driving via Sparse Scene
  Representation


Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Temporal Ensembling for Semi-Supervised Learning

Averaging Weights Leads to Wider Optima and Better Generalization

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average


DQN-Atari-Agents:   Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Dueling Network Architectures for Deep Reinforcement Learning

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration

Robot path planning using deep reinforcement learning


A customizable framework to create maze and gridworld environments

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Preprocessing Reward Functions for Interpretability


PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

Fair Machine Guidance to Enhance Fair Decision Making in Biased People

Proceedings of the CHI Conference on Human Factors in Computing Systems

fairret: a Framework for Differentiable Fairness Regularization Terms


A Java implementation of the Acme Air Sample Application.

Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices

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

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture

Proactive Random-Forest Autoscaler for Microservice Resource Allocation

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Lessons learned from hyper-parameter tuning for microservice candidate identification

An expert system for redesigning software for cloud applications

Container Density Improvements with Dynamic Memory Extension using NAND Flash


An R package for inferring the subclonal architecture of tumors

Mutational landscape and significance across 12 major cancer types

Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia

Cancer Evolution: Mathematical Models and Computational Inference

Single-cell analysis based dissection of clonality in myelofibrosis

The clonal evolution of metastatic colorectal cancer

Ultraviolet radiation shapes dendritic cell leukaemia transformation in the skin

Ploidy-Seq: inferring mutational chronology by sequencing polyploid tumor subpopulations

Proteogenomics decodes the evolution of human ipsilateral breast cancer


Generate unique KMERs for every contig in a FASTA file

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data

Unexpected novel Merbecovirus discoveries in agricultural sequencing datasets from Wuhan, China

Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution


THELI is a data processing pipeline for astronomical images

Photometric Observations of the Binary Near-Earth Asteroid (65803) Didymos in 2015–2021 Prior to DART Impact

A Significant Excess in Major Merger Rate for AGNs with the Highest Eddington Ratios at z < 0.2

The Close AGN Reference Survey (CARS)

Chasing Tails: Active Asteroid, Centaur, and Quasi-Hilda Discovery with Astroinformatics and Citizen Science


Provable adversarial robustness at ImageNet scale

Certified Adversarial Robustness via Randomized Smoothing

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Certified Adversarial Robustness with Additive Noise

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

Consistency Regularization for Certified Robustness of Smoothed Classifiers

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

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

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Adversarial Robustness with Non-uniform Perturbations


A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data

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

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality


Distributed K-FAC Preconditioner for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Convolutional Neural Network Training with Distributed K-FAC

KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS


Equinox is an open source platform that supports the holistic risk management of sustainable finance projects


The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets

Adversarial Purification through Representation Disentanglement


DBAT - The Damped Bundle Adjustment toolbox for Matlab

Bundle Adjustment With and Without Damping

Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry

MITIGATING IMAGE RESIDUALS SYSTEMATIC PATTERNS IN UNDERWATER PHOTOGRAMMETRY

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

COMPARISON OF DIVER-OPERATED UNDERWATER PHOTOGRAMMETRIC SYSTEMS FOR CORAL REEF MONITORING

Camera Calibration using the Damped Bundle Adjustment Toolbox

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

BUNDLE ADJUSTMENT WITH POLYNOMIAL POINT-TO-CAMERA DISTANCE DEPENDENT CORRECTIONS FOR UNDERWATER PHOTOGRAMMETRY

Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations

Photogrammetric Engineering and Remote Sensing

EXTERNAL VERIFICATION OF THE BUNDLE ADJUSTMENT IN PHOTOGRAMMETRIC SOFTWARE USING THE DAMPED BUNDLE ADJUSTMENT TOOLBOX

Reprocessing Close Range Terrestrial and UAV Photogrammetric Projects with the DBAT Toolbox for Independent Verification and Quality Control

EXPERIMENTS WITH METADATA-DERIVED INITIAL VALUES AND LINESEARCH BUNDLE ADJUSTMENT IN ARCHITECTURAL PHOTOGRAMMETRY


Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Semantic Photo Manipulation with a Generative Image Prior

Improved StyleGAN Embedding: Where are the Good Latents?

Diffeomorphic Counterfactuals with Generative Models


[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

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

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

Faster Person Re-Identification


[ECCV 2020] PyTorch code for XML on TVRetrieval dataset - TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Learning a Text-Video Embedding from Incomplete and Heterogeneous Data

ExCL: Extractive Clip Localization Using Natural Language Descriptions

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair

Finding Moments in Video Collections Using Natural Language


Tools for bam file processing

biobambam: tools for read pair collation based algorithms on BAM files

A comprehensive characterization of cis-acting splicing-associated variants in human cancer

The Scramble conversion tool

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

Copy number variation underlies complex phenotypes in domestic dog breeds and other canids

Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions

Cellular and Molecular Architecture of Hematopoietic Stem Cells and Progenitors in Genetic Models of Bone Marrow Failure

Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations


Generative Topic Embedding: a Continuous Representation of Documents

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context


Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

Generating Benchmarks for Factuality Evaluation of Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

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

Collaborative decoding of critical tokens for boosting factuality of
  large language models

Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval


Color composite image creation, mostly following the Lupton, Wherry et al (2004) algorithm.

Space Warps – I. Crowdsourcing the discovery of gravitational lenses

Monthly Notices of the Royal Astronomical Society

Space Warps– II. New gravitational lens candidates from the CFHTLS discovered through citizen science

LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

Testing convolutional neural networks for finding strong gravitational lenses in KiDS

Imaging extended emission-line regions of obscured AGN with the Subaru Hyper Suprime-Cam Survey

Lenses In VoicE (LIVE): searching for strong gravitational lenses in the VOICE@VST survey using convolutional neural networks

Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) - X. Strong Lens Finding in The HSC-SSP using Convolutional Neural Networks


Paper implementations from scratch and machine learning tutorials

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

Language Models are Unsupervised Multitask Learners

mixup: Beyond Empirical Risk Minimization

Axiomatic Attribution for Deep Networks

Emerging Properties in Self-Supervised Vision Transformers

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

MLP-Mixer: An all-MLP Architecture for Vision

Implicit Neural Representations with Periodic Activation Functions

Manifold Mixup: Better Representations by Interpolating Hidden States

Differentiable Augmentation for Data-Efficient GAN Training


iNaturalist competition details

Class-Balanced Loss Based on Effective Number of Samples

The iNaturalist Species Classification and Detection Dataset

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

Algorithmic fairness datasets: the story so far

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

A linearized framework and a new benchmark for model selection for fine-tuning

Neural Basis Models for Interpretability

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations

Class-Balanced Distillation for Long-Tailed Visual Recognition

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning


SNP Pipeline is a pipeline for the production of SNP matrices from sequence data used in the phylogenetic analysis of pathogenic organisms sequenced from samples of interest to food safety.

CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data

NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats

Next generation microbiological risk assessment: opportunities of whole genome sequencing (WGS) for foodborne pathogen surveillance, source tracking and risk assessment

An evaluation of alternative methods for constructing phylogenies from whole genome sequence data: a case study with Salmonella

Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks

Temporal Dynamics of Salmonella enterica subsp. enterica Serovar Agona Isolates From a Recurrent Multistate Outbreak


Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Explaining black box text modules in natural language with language models

Rethinking Interpretability in the Era of Large Language Models

Augmenting Interpretable Models with LLMs during Training

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Crafting Interpretable Embeddings by Asking LLMs Questions


CKIP Transformers

CxLM: A Construction and Context-aware Language Model

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Word-specific tonal realizations in Mandarin

Resolving Regular Polysemy in Named Entities

Language Model Based Chinese Handwriting Address Recognition

Taiwan Conference on Computational Linguistics and Speech Processing

Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation

HanTrans: An Empirical Study on Cross-Era Transferability of Chinese Pre-trained Language Model


A Python 3 module that provides functions for splitting identifiers found in source code files.

Predicting the objective and priority of issue reports in software repositories

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network

Revisiting Code Search in a Two-Stage Paradigm

Fonte: Finding Bug Inducing Commits from Failures

Automating Method Naming with Context-Aware Prompt-Tuning

An automated detection of confusing variable pairs with highly similar compound names in Java and Python programs


An Energy Information Administration (EIA) API python client for researchers who just need data.


Dataset and starting code for visual entailment dataset

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

UNITER: UNiversal Image-TExt Representation Learning

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

UniT: Multimodal Multitask Learning with a Unified Transformer

Visual Entailment: A Novel Task for Fine-Grained Image Understanding

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

Visual Entailment Task for Visually-Grounded Language Learning

What You See is What You Read? Improving Text-Image Alignment Evaluation

e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

AlignVE: Visual Entailment Recognition Based on Alignment Relations


Tensorflow implementation of a Neural Turing Machine

Neural Turing Machines

Implementing Neural Turing Machines

Learning to Remember More with Less Memorization

Memory and attention in deep learning


Bonsai GPU tree code

An FMM Based on Dual Tree Traversal for Many-core Architectures

Modelling the Milky Way as a dry Galaxy

Monthly notices of the Royal Astronomical Society

Exploring the Sgr–Milky Way–disk Interaction Using High-resolution N-body Simulations

Trimodal structure of Hercules stream explained by originating from bar resonances

GOTHIC: Gravitational oct-tree code accelerated by hierarchical time step controlling

The effect of kick velocities on the spatial distribution of millisecond pulsars and implications for the Galactic center excess

Journal of Cosmology and Astroparticle Physics

Impact of bar resonances in the velocity-space distribution of the solar
  neighbourhood stars in a self-consistent N-body Galactic disc simulation

The galactic millisecond pulsar population : implications for the Galactic Center Excess.


CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon


Linguistic Reconstruction with LingPy

Automatic Inference of Sound Correspondence Patterns across Multiple Languages

Computer-Assisted Language Comparison: State of the Art

Reflex prediction: A case study of Western Kho-Bwa

Automated identification of borrowings in multilingual wordlists

Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists


:mouse: :left_right_arrow: :couple:   An r package that works as a wrapper to homologene

Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data

Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex

Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes

Short-term exposure to intermittent hypoxia leads to changes in gene expression seen in chronic pulmonary disease

The Development of Mechanical Allodynia in Diabetic Rats Revealed by Single-Cell RNA-Seq

Risk‐Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries

Comparison of Gene Expression Responses in the Small Intestine of Mice Following Exposure to 3 Carcinogens Using the S1500+ Gene Set Informs a Potential Common Adverse Outcome Pathway


Matlab routines for online non-rigid motion correction of calcium imaging data

Negative feedback control of neuronal activity by microglia

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

Two-photon imaging of neuronal activity in motor cortex of marmosets during upper-limb movement tasks

SpecSeg is a versatile toolbox that segments neurons and neurites in chronic calcium imaging datasets based on low-frequency cross-spectral power

Voltage dynamics of dendritic integration and back-propagation in vivo

bioRxiv : the preprint server for biology

Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans

STARDUST: A pipeline for the unbiased analysis of astrocyte regional calcium dynamics

Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region


The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch

Deep Residual Learning for Image Recognition

Deep Pyramidal Residual Networks

Shake-Shake regularization

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads


Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

pyNBS: a Python implementation for network-based stratification of tumor mutations

Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment


Repo for the Deep Reinforcement Learning Nanodegree program

Evolutionary learning of interpretable decision trees

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook

Training a Resilient Q-network against Observational Interference

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces

Domain-adapted Learning and Interpretability: DRL for Gas Trading


Unreal environments for reinforcement learning

A Survey on Human-aware Robot Navigation

Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking

Games for Artificial Intelligence Research: A Review and Perspectives

Towards Active Vision for Action Localization with Reactive Control and Predictive Learning


RNASeq pipeline

Local light signaling at the leaf tip drives remote differential petiole growth through auxin-gibberellin dynamics

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

XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data

A system-wide approach to monitor responses to synergistic BRAF and EGFR inhibition in colorectal cancer cells

Whole transcriptome analysis of canine pheochromocytoma and paraganglioma

Locational memory of macrovessel vascular cells is transcriptionally imprinted


A solver for temporal programs.

Temporal Answer Set Programming on Finite Traces

Linear-Time Temporal Answer Set Programming

Theory and Practice of Logic Programming

Implementing Dynamic Answer Set Programming

Temporal Answer Set Programming

LPOP: Challenges and Advances in Logic and Practice of Programming


A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Cluster-Based Input Weight Initialization for Echo State Networks

PyRCN: A toolbox for exploration and application of Reservoir Computing Networks

Chemical reservoir computation in a self-organizing reaction network


R/qtl: A QTL mapping environment

Bioinformatics tools and database resources for systems genetics analysis in mice—a short review and an evaluation of future needs

Phenotyping and Quantitative Trait Locus Analysis for the Limited Transpiration Trait in an Upper-Mid South Soybean Recombinant Inbred Line Population (“Jackson” × “KS4895”): High Throughput Aquaporin Inhibitor Screening

Fourteen Years of R/qtl: Just Barely Sustainable

Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution


Python tools to recover precise rotation profiles of disks.

Meridional flows in the disk around a young star

Highly structured disk around the planet host PDS 70 revealed by high-angular resolution observations with ALMA

Spiral arms in the protoplanetary disc HD100453 detected with ALMA: evidence for binary–disc interaction and a vertical temperature gradient

Evidence for a Vertical Dependence on the Pressure Structure in AS 209

eddy: Extracting Protoplanetary Disk Dynamics with Python

Spiral Structure in the Gas Disk of TW Hya

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Kinematic Structures in Planet-Forming Disks

A kinematic excess in the annular gap and gas depleted cavity in the disc around HD 169142


De-trending of K2 Light curves

EVEREST: Pixel Level Decorrelation of K2 Light curves

The CARMENES search for exoplanets around M dwarfs: Two planets on opposite sides of the radius gap transiting the nearby M dwarf LTT 3780

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Detection and Doppler monitoring of K2-285 (EPIC 246471491), a system of four transiting planets smaller than Neptune

Three planets transiting the evolved star EPIC 249893012: a hot
  8.8-M_⊕ super-Earth and two warm 14.7 and 10.2-M_⊕ sub-Neptunes

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c

TFAW survey - I. Wavelet-based denoising of K2 light curves. Discovery and validation of two new Earth-sized planets in K2 campaign 1


Python implementations of approval-based committee (multi-winner) voting rules

Properties of multiwinner voting rules

The (Computational) Social Choice Take on Indivisible Participatory Budgeting

Utilitarian welfare and representation guarantees of approval-based multiwinner rules

An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

How to Sample Approval Elections?

Welfare vs. Representation in Participatory Budgeting

Deliberation and Voting in Approval-Based Multi-Winner Elections


A phenology modelling framework in R


R Client Library for Web Land Trajectory Service


Method for encoding brain connectomes in multidimensional arrays (tensors).

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Sparse multiway decomposition for analysis and modeling of diffusion imaging and tractography

Evaluation of tractogram filtering methods using human-like connectome phantoms

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems


A python library for robot learning - An extension to PyRobot

ConceptFusion: Open-set Multimodal 3D Mapping

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects

Lifelong Robot Learning with Human Assisted Language Planners

TactoFind: A Tactile Only System for Object Retrieval

Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning


This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices

Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference


A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Factorization Machines

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction


An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Could climate trends disrupt the contact rates between Ixodes ricinus (Acari, Ixodidae) and the reservoirs of Borrelia burgdorferi s.l.?

RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R


Accelerated Reionization Era Simulations

Balancing the efficiency and stochasticity of star formation with dust extinction in z > 10 galaxies observed by JWST

Introducing SPHINX-MHD: the impact of primordial magnetic fields on the first galaxies, reionization, and the global 21-cm signal

Revealing the formation histories of the first stars with the cosmic near-infrared background

Constraining Warm Dark Matter and Population III Stars with the Global 21 cm Signal

Structure formation and the global 21-cm signal in the presence of Coulomb-like dark matter-baryon interactions

Global 21cm absorption signal from superconducting cosmic strings

Edges and Endpoints in 21-cm Observations from Resonant Photon Production

Ensuring Robustness in Training-set-based Global 21 cm Cosmology Analysis

On the expected purity of photometric galaxy surveys targeting the Cosmic Dawn

Seeking dark matter with
γ
-ray attenuation


Symbolic Kinetic Models with Python


An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

Aligned Contrastive Predictive Coding

Contrastive Prediction Strategies for Unsupervised Segmentation and Categorization of Phonemes and Words


Instructed Glacier Model (IGM)

Committed Ice Loss in the European Alps Until 2050 Using a Deep‐Learning‐Aided 3D Ice‐Flow Model With Data Assimilation

Concepts and capabilities of the Instructed Glacier Model

Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

Zenodo (CERN European Organization for Nuclear Research)


Downscaling & bias correction of CMIP6 tasmin, tasmax,  and pr for the R/CIL GDPCIR project

The ERA5 global reanalysis

Quarterly Journal of the Royal Meteorological Society

Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?


Train or evolve controllable and diverse level-generators.

PCGRL: Procedural Content Generation via Reinforcement Learning

Illuminating Diverse Neural Cellular Automata for Level Generation

Learning Controllable Content Generators

Learning Controllable 3D Level Generators

Tree Search vs Optimization Approaches for Map Generation


LaMEM (Lithosphere and Mantle Evolution Model) - a 3D parallel code to simulate geodynamic and geomechanical processes

Gibraltar subduction zone is invading the Atlantic

Magmatism controls global oceanic transform fault topography


A pixel classification based multiplexed image segmentation pipeline

Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions

Breast tumor microenvironment structures are associated with genomic features and clinical outcome

Acquired resistance to anti-PD1 therapy in patients with NSCLC associates with immunosuppressive T cell phenotype

Deep spatial profiling of COVID19 brains reveals neuroinflammation by compartmentalized local immune cell interactions and targets for intervention

PDL1 shapes the classical Hodgkin lymphoma microenvironment without inducing T-cell exhaustion

Characterisation of tumour immune microenvironment remodelling following oncogene inhibition in preclinical studies using an optimised imaging mass cytometry workflow

Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer

Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of oesophagael adenocarcinoma


Evolving modular soft robots without explicit inter-module communication using local self-attention

Evolving Hebbian Learning Rules in Voxel-Based Soft Robots

IEEE Transactions on Cognitive and Developmental Systems

Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots

JGEA

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Mining Road Traffic Rules with Signal Temporal Logic and Grammar-Based Genetic Programming


Blade Element Momentum Method for Propellers and Turbines

A simple solution method for the blade element momentum equations with guaranteed convergence

Using blade element momentum methods with gradient-based design optimization

Structural and Multidisciplinary Optimization


POA Library:  wiki, how-to, FAQ. Includes instructions how to set-up a new network, to run a full node, connect wallets,

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

The Attack of the Clones Against Proof-of-Authority

Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research Direction

Formal Verification of Blockchain Byzantine Fault Tolerance

Correctness Analysis of IBFT

P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time

AccessChain: An access control framework to protect data access in blockchain enabled supply chain

Distributed Trust, a Blockchain Election Scheme

FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities

FedChain: Secure Proof-of-Stake-Based Framework for Federated-Blockchain Systems


A benchmark to compare synchronization techniques for multicore programming

A Concurrency-Optimal List-Based Set

D2.1 Models for energy consumption of data structures and algorithms

D2.2 White-box methodologies, programming abstractions and libraries

Using Nesting to Push the Limits of Transactional Data Structure Libraries

Flat combined Red Black Trees


Python API for Tesla Powerwall


RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites

Survey for Computer-Aided Tools and Databases in Metabolomics

Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype.

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


Set of tests for fuzzing engines

Magma: A Ground-Truth Fuzzing Benchmark

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing

FuzzerGym: A Competitive Framework for Fuzzing and Learning

A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing

SoK: Prudent Evaluation Practices for Fuzzing

Efficient Greybox Fuzzing to Detect Memory Errors

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Mutation Analysis: Answering the Fuzzing Challenge

A Case Study on Automated Fuzz Target Generation for Large Codebases

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

MaxAFL: Maximizing Code Coverage with a Gradient-Based Optimization Technique


A Latex style and template for paper preprints (based on NIPS style)

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets

Weak phases and CP-symmetry tests in sequential decays of entangled double-strange baryons

A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning

A Brief Survey of Associations Between Meta-Learning and General AI

Empirically Classifying Network Mechanisms

Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages

Dynamic Bayesian Neural Networks

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots

The orbital Lense–Thirring precession in a strong field


COSP - The CFMIP (Cloud Feedbacks Model Intercomparison Project) Observation Simulator Package

The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

Impacts of Precipitation Modeling on Cloud Feedback in MIROC6

The Cloud_cci simulator for the ESA Cloud_cci climate data record
and its application to a global and a regional climate model


A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library

Ant Colony Sampling with GFlowNets for Combinatorial Optimization

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

RouteFinder: Towards Foundation Models for Vehicle Routing Problems

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More


Knowledge Amalgamation Engine

Data-Free Adversarial Distillation

Amalgamating Knowledge towards Comprehensive Classification

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

Spot-Adaptive Knowledge Distillation

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

Deep Model Transferability from Attribution Maps

Progressive Network Grafting for Few-Shot Knowledge Distillation

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data


RESTest: Automated Black-Box Testing of RESTful Web APIs

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

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

Testing RESTful APIs: A Survey

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools


We are using data science to analyze water quality issues.


Python bindings to the Tree-sitter parsing library

StructCoder: Structure-Aware Transformer for Code Generation

Multi-target Backdoor Attacks for Code Pre-trained Models

Tackling Long Code Search with Splitting, Encoding, and Aggregating