State-of-the-Art Language Modeling and Text Classification in Hindi Language

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

iNLTK: Natural Language Toolkit for Indic Languages

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation

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

When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT


[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Evasion and Hardening of Tree Ensemble Classifiers

Robustness Verification of Tree-based Models

An Efficient Adversarial Attack for Tree Ensembles

Connecting Interpretability and Robustness in Decision Trees through Separation


EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Towards Robust Vision Transformer

A Light Recipe to Train Robust Vision Transformers

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective

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

Discrete Representations Strengthen Vision Transformer Robustness

Enhance the Visual Representation via Discrete Adversarial Training

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition


C++ version of the SED fitting code FAST (Kriek et al. 2009); it's faster, uses less memory, and has more features.

Near infrared spectroscopy and star-formation histories of 3 <= z <= 4 quiescent galaxies

Quiescent Galaxies 1.5 Billion Years after the Big Bang and Their Progenitors

An Extremely Massive Quiescent Galaxy at z=3.493: Evidence of Insufficiently Rapid Quenching Mechanisms in Theoretical Models

The Massive Ancient Galaxies at z > 3 NEar-infrared (MAGAZ3NE) Survey: Confirmation of Extremely Rapid Star Formation and Quenching Timescales for Massive Galaxies in the Early Universe

Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang

Molecular gas reservoirs in cluster galaxies at z=1.46

GOODS-ALMA 2.0: Source catalog, number counts, and prevailing compact sizes in 1.1 mm galaxies

The NIRVANDELS Survey: a robust detection of alpha-enhancement in star-forming galaxies at z similar or equal to 3.4

Monthly Notices of the Royal Astronomical Society

The Rapid Buildup of Massive Early-type Galaxies: Supersolar Metallicity, High Velocity Dispersion, and Young Age for an Early-type Galaxy at z = 3.35

GOODS-ALMA 2.0: Starbursts in the main sequence reveal compact star formation regulating galaxy evolution prequenching


Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)

Deep Learning on Graphs: A Survey

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP


The Mingled Structured Predictor

A Two-Step Approach for Implicit Event Argument Detection

Meeting of the Association for Computational Linguistics

A Survey of Active Learning for Natural Language Processing

Comparing Span Extraction Methods for Semantic Role Labeling

SPNLP 2021: THE 5TH WORKSHOP ON STRUCTURED PREDICTION FOR NLP

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying

On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling

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


FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

On the Similarity between the Laplace and Neural Tangent Kernels

Learning to predict target location with turbulent odor plumes

Speeding-up Object Detection Training for Robotics with FALKON


Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*,  Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Sparse Overcomplete Word Vector Representations

SPINE: SParse Interpretable Neural Embeddings

Word2Sense: Sparse Interpretable Word Embeddings

The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings

Lifelong Learning of Topics and Domain-Specific Word Embeddings

DINE: Dimensional Interpretability of Node Embeddings

AUTOLEX: An Automatic Framework for Linguistic Exploration

Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection)


Set of datasets for the deep learning recommendation model (DLRM).

Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training

Proceedings of the 49th Annual International Symposium on Computer Architecture

AutoShard: Automated Embedding Table Sharding for Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks


RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

An original model for multi-target learning of logical rules for knowledge graph reasoning


Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Combating Fake News: A Survey on Identification and Mitigation Techniques

A Survey on Natural Language Processing for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Combating disinformation in a social media age


Code for generating Higher-order Network (HON) from data with higher-order dependencies

Representing higher-order dependencies in networks

HONEM: Learning Embedding for Higher Order Networks

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.

Representing Big Data as Networks: New Methods and Insights


Coherent Semantic Attention for image inpainting(ICCV 2019)

Image Inpainting for Irregular Holes Using Partial Convolutions

Coherent Semantic Attention for Image Inpainting

Text-Guided Neural Image Inpainting

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

Neural Image Inpainting Guided with Descriptive Text


An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Machine learning for multi-omics data integration in cancer

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Empirical Methods in Natural Language Processing

Generalized Multiview Shared Subspace Learning Using View Bootstrapping


MultiCite code and data. Models are available on Huggingface.

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

A meta-analysis of semantic classification of citations

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


Official code for  "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Graph-based Semi-supervised Learning: A Comprehensive Review

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Graph-based Molecular Representation Learning

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

NPLDA: A Deep Neural PLDA Model for Speaker Verification

The Speaker and Language Recognition Workshop (Odyssey 2020)

Pairwise Discriminative Neural PLDA for Speaker Verification

LEAP System for SRE 2019 CTS Challenge - Improvements and Error Analysis


Python tools for mean-field Hubbard models

Frontispiz: On‐Surface Synthesis and Collective Spin Excitations of a Triangulene‐Based Nanostar

Carbon-based nanostructures as a versatile platform for tunable π-magnetism

Journal of physics. Condensed matter : an Institute of Physics journal

Magnetic Interactions Between Radical Pairs in Chiral Graphene Nanoribbons


Incremental learning of word embeddings with context informativeness.

High-risk learning: acquiring new word vectors from tiny data

Few-Shot Representation Learning for Out-Of-Vocabulary Words

Towards Incremental Learning of Word Embeddings Using Context Informativeness


Critical Assessment of Intrinsic Disorder

Intrinsic protein disorder and conditional folding in AlphaFoldDB

Protein science : a publication of the Protein Society

Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 2

Proteins: Structure, Function, and Bioinformatics


[Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models

Deep Image Matting

Matte Anything: Interactive Natural Image Matting with Segment Anything Models

Matte anything: Interactive natural image matting with segment anything model


Detect the programming language of a source code

StarCoder 2 and The Stack v2: The Next Generation

Understanding code snippets in code reviews

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


ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts

Workshop on Biomedical Natural Language Processing

Chinese Couplet Generation with Syntactic Information

International Conference on Computational Linguistics


Extended Joint Models for Longitudinal and Survival Data

Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

Bivariate joint models for survival and change of cognitive function

Flexible joint models for multivariate longitudinal and time-to-event data using multivariate functional principal components


Pretrained TorchVision models on CIFAR10 dataset (with weights)

Real-Time and Accurate Drone Detection in a Video with a Static Background

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Deep Ensembles Work, But Are They Necessary?

Learning-Augmented k-means Clustering

Stationary Activations for Uncertainty Calibration in Deep Learning

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders

A2: Efficient Automated Attacker for Boosting Adversarial Training

Training Unbiased Diffusion Models From Biased Dataset

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

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning


Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation

Proceedings of the 31st ACM International Conference on Multimedia


Robust Graphical Methods For Group Comparisons

Beyond differences in means: robust graphical methods to compare two groups in neuroscience

Reaction times and other skewed distributions: problems with the mean and the median

The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R

Advances in Methods and Practices in Psychological Science

No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades

Analysis of patellofemoral arthrokinematic motion quality in open and closed kinetic chains using vibroarthrography

Task instructions can accelerate the early preference for social features in naturalistic scenes


A MATLAB package for modelling multivariate stimulus-response data

Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research

Emergence of the cortical encoding of phonetic features in the first year of life

An Analytical Framework of Tonal and Rhythmic Hierarchy in Natural Music Using the Multivariate Temporal Response Function


Tensorized Embedding Layers for Efficient Model Compression

Tensorized Transformer for Dynamical Systems Modeling

MARS: Masked Automatic Ranks Selection in Tensor Decompositions


Tools and Utilities for msmc and msmc2

Tracking human population structure through time from whole genome sequences

Yam genomics supports West Africa as a major cradle of crop domestication

Zenodo (CERN European Organization for Nuclear Research)

The evolutionary history and genomics of European blackcap migration

High-quality genome and methylomes illustrate features underlying evolutionary success of oaks

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

Large-scale genomic analysis reveals the genetic cost of chicken domestication

Demes: a standard format for demographic models

Patterns of recombination in snakes reveal a tug of war between PRDM9 and promoter-like features

bioRxiv : the preprint server for biology

Adaptive venom evolution and toxicity in octopods is driven by extensive novel gene formation, expansion, and loss

Rapid radiation in a highly diverse marine environment

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


Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels

Deep Convolutional Neural Networks for Onychomycosis Detection


An algorithm for learning optimal decision trees, with Python interface

Learning Optimal Decision Trees Using Caching Branch-and-Bound Search

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

Fast Sparse Decision Tree Optimization via Reference Ensembles

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

Analysis of Machine Learning Approaches to Packing Detection

Probabilistic Dataset Reconstruction from Interpretable Models

Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design


A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning

Beyond Exponentially Discounted Sum: Automatic Learning of Return Function

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

Learning to Shape Rewards Using a Game of Two Partners

Thompson Sampling with Diffusion Generative Prior

Policy Learning with a Language Bottleneck

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction


Creative Commons Attribution 4.0 International

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Differentiable Random Partition Models

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model

Enriching Disentanglement: Definitions to Metrics


Fast SHAP value computation for interpreting tree-based models

A Unified Approach to Interpreting Model Predictions

Consistent Individualized Feature Attribution for Tree Ensembles

Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Selection of powerful radio galaxies with machine learning


Learn interpretable computational phenotyping models from k-merized genomic data

Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

Interpretable genotype-to-phenotype classifiers with performance guarantees

Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences

Large scale modeling of antimicrobial resistance with interpretable classifiers


vSNP -- validate SNPs

Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer

Reconsidering Mycobacterium bovis as a proxy for zoonotic tuberculosis: a molecular epidemiological surveillance study

Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand

Highly Pathogenic Avian Influenza A(H5N1) Virus Clade 2.3.4.4b Infections in Wild Terrestrial Mammals, United States, 2022

SARS-CoV-2 Omicron (B.1.1.529) Infection of Wild White-Tailed Deer in New York City

Antimicrobial resistance and genomic characterization of Salmonella Dublin isolates in cattle from the United States

Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

Who infects whom?—Reconstructing infection chains of Mycobacterium avium ssp. paratuberculosis in an endemically infected dairy herd by use of genomic data

Whole-Genome SNP Analysis Identifies Putative Mycobacterium bovis Transmission Clusters in Livestock and Wildlife in Catalonia, Spain

Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas


CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers

OODformer: Out-Of-Distribution Detection Transformer

Out-of-Distribution Detection Without Class Labels

Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection

Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers


Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.

SSD: Single Shot MultiBox Detector

YOLOv3: An Incremental Improvement


A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Prediction-powered inference

PPI++: Efficient Prediction-Powered Inference

Cross-Prediction-Powered Inference

AutoEval Done Right: Using Synthetic Data for Model Evaluation


A Python Package for Density Ratio Estimation

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift

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

Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics


API Client for CHIRPS

Retrieving and processing agro-meteorological data from API-client sources using R software


DSQSS -- Discrete Space Quantum System Solver

Fractional corner magnetization of collinear antiferromagnets

Update of ℋΦ: Newly added functions and methods in versions 2 and 3

Universal and Non-Universal Correction Terms of Bose Gases in Dilute Region: A Quantum Monte Carlo Study

Journal of the Physical Society of Japan

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations

Spin Hall magnetoresistance in quasi-two-dimensional antiferromagnetic-insulator/metal bilayer systems


MeetEval - A meeting transcription evaluation toolkit

On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems

SURT 2.0: Advances in Transducer-Based Multi-Talker Speech Recognition

Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization


Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

PolypNextLSTM: A lightweight and fast polyp video segmentation network
  using ConvNext and ConvLSTM


HiDimStat: High-dimensional statistical inference tool for Python

Controlling the false discovery rate via knockoffs

Aggregation of Multiple Knockoffs

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

Decoding with confidence: Statistical control on decoder maps

Spatially relaxed inference on high-dimensional linear models


Flexible tool for bias detection, visualization, and mitigation

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

Fairness Measures for Regression via Probabilistic Classification


High-performance high-order finite element solver for hyperbolic conservation equations

Second-order invariant domain preserving approximation of the Euler equations using convex limiting

Second-order invariant domain preserving approximation of the compressible Navier-Stokes equations

Computer Methods in Applied Mechanics and Engineering

Efficient parallel 3D computation of the compressible Euler equations with an invariant-domain preserving second-order finite-element scheme

On the implementation of a robust and efficient finite element-based parallel solver for the compressible Navier-Stokes equations


Tools for tissue image stain normalisation and augmentation in Python 3

Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

Frontiers in bioengineering and biotechnology

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology

Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning

Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images

Towards a representative reference for MRI-based human axon radius assessment using light microscopy

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis


Population genetics analyses from NGS data

pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Comparative analysis examining patterns of genomic differentiation across multiple episodes of population divergence in birds

Pervasive hybridization with local wild relatives in Western European grapevine varieties

Recurrent selection and reduction in recombination shape the genomic landscape of divergence across multiple population pairs of Green-backed Tit


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

Enhancing CryptoGuards Deployability for Continuous Software Security Scanning


PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

FCN-Transformer Feature Fusion for Polyp Segmentation

Medical Image Understanding and Analysis

Video Polyp Segmentation: A Deep Learning Perspective

NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation


Processing pipeline for GLEAM-X

Murchison Widefield Array rapid-response observations of the short GRB 180805A

Publications of the Astronomical Society of Australia

Early-time searches for coherent radio emission from short GRBs with the Murchison Widefield Array

System equivalent flux density of a low-frequency polarimetric phased array interferometer

A census of compact sources at 162 MHz: First data release from the MWA Phase II IPS Survey


A gap-closing software tool that uses long reads to enhance genome assembly.

TGS-GapCloser: A fast and accurate gap closer for large genomes with low coverage of error-prone long reads

A reference-grade genome identifies salt-tolerance genes from the salt-secreting mangrove species Avicennia marina

Chromosome-level genome of Schistosoma haematobium underpins genome-wide explorations of molecular variation

Nuclear genome of Bulinus truncatus, an intermediate host of the carcinogenic human blood fluke Schistosoma haematobium

The Comparative Analysis of Genomic Diversity and Genes Involved in Carbohydrate Metabolism of Eighty-Eight Bifidobacterium pseudocatenulatum Isolates from Different Niches of China

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

Telomere-to-telomere and gap-free genome assembly of a susceptible grapevine species (Thompson Seedless) to facilitate grape functional genomics


Python package for analyzing and visualizing iModulons

Mining all publicly available expression data to compute dynamic microbial transcriptional regulatory networks

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa

Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures

Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins

The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions

Proteome allocation is linked to transcriptional regulation through a modularized transcriptome

Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection


Python implementation of surface mesh resampling algorithm ACVD

Patient-specific solution of the electrocorticography forward problem in deforming brain


a biodiversity dataset tracker

Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity

New chrysilline and aelurilline jumping spiders from Pakistan (Araneae, Salticidae)

Toward reliable biodiversity dataset references

To connect is to preserve: on frugal data integration and preservation solutions

A biodiversity dataset graph: GBIF, iDigBio, BioCASe hash://sha256/8aacce08462b87a345d271081783bdd999663ef90099212c8831db399fc0831b

Nomer Corpus of Taxonomic Resources hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137


Pytorch implementation of Hyperspherical Variational Auto-Encoders

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Variational Autoencoder with Learned Latent Structure

Representing Closed Transformation Paths in Encoded Network Latent Space

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein

Maximum likelihood estimation of the Fisher–Bingham distribution via efficient calculation of its normalizing constant

Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation


Python package to model and forecast the risk of deforestation


Pythonic photometric redshift tools based on EAZY

First Batch of Candidate Galaxies at Redshifts 11 to 20 Revealed by the James Webb Space Telescope Early Release Observations

CLEAR. II. Evidence for Early Formation of the Most Compact Quiescent Galaxies at High Redshift

An Atlas of Color-selected Quiescent Galaxies at z > 3 in Public JWST Fields

Templates for Fitting Photometry of Ultra-high-redshift Galaxies

CLEAR: The Gas-phase Metallicity Gradients of Star-forming Galaxies at 0.6 < z < 2.6

ALMA Lensing Cluster Survey: Bright [CII] 158 μm Lines from a
  Multiply Imaged Sub-L^⋆ Galaxy at z=6.0719

The Prevalence of Galaxy Overdensities Around UV-Luminous Lyman
  α Emitters in the Epoch of Reionization

CLEAR: The Ionization and Chemical-Enrichment Properties of Galaxies at
  1.1 < z < 2.3

On the (Lack of) Evolution of the Stellar Mass Function of Massive Galaxies from z = 1.5 to 0.4

Implications of a Temperature-dependent Initial Mass Function. I. Photometric Template Fitting


A 'ggplot2' implement of Venn Diagram.

ggVennDiagram: An Intuitive, Easy-to-Use, and Highly Customizable R Package to Generate Venn Diagram

Autoimmunity in Down’s syndrome via cytokines, CD4 T cells and CD11c+ B cells

Altered Nasal Microbiota Composition Associated with Development of Polyserositis by Mycoplasma hyorhinis

Characterization of the Secretome, Transcriptome, and Proteome of Human β Cell Line EndoC-βH1

ggVennDiagram: Intuitive Venn diagram software extended


Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval

International Conference on the Theory of Information Retrieval

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Query Embedding Pruning for Dense Retrieval

On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval

On Single and Multiple Representations in Dense Passage Retrieval

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy

Evaluating Temporal Persistence Using Replicability Measures


A python package for accessing various properties of elements, ions and isotopes in the periodic table of elements.

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

The atlas of ferroicity in two-dimensional MGeX3 family: Room-temperature ferromagnetic half metals and unexpected ferroelectricity and ferroelasticity

Inverse Design of Hybrid Organic–Inorganic Perovskites with Suitable Bandgaps via Proactive Searching Progress

Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints

GlassNet: A multitask deep neural network for predicting many glass properties

Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

Predicting Segregation Energy in Single Atom Alloys Using Physics and Machine Learning

NMR shift prediction from small data quantities

PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design

Sim2Ls: FAIR simulation workflows and data


Neural Network Force Field based on PyTorch

Equivariant message passing for the prediction of tensorial properties and molecular spectra

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks

Molecular machine learning with conformer ensembles

Excited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Effect of framework composition and NH3 on the diffusion of Cu+ in Cu-CHA catalysts predicted by machine-learning accelerated molecular dynamics

Learning a reactive potential for silica-water through uncertainty attribution


Butterfly factorization via randomized matrix-vector multiplications

Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces


k-mer based Pipeline to identify the Serotype from Illumina NGS reads

SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data

Diversity-Generating Machines: Genetics of Bacterial Sugar-Coating

Pan-Genome-Wide Association Study of Serotype 19A Pneumococci Identifies Disease-Associated Genes

A narrative review of genomic characteristics, serotype, immunogenicity, and vaccine development of Streptococcus pneumoniae capsular polysaccharide

Clinical and experimental vaccine research


Transcription Factor Enrichment Analysis

Transcription factor enrichment analysis (TFEA) quantifies the activity of multiple transcription factors from a single experiment

Deconvolution of multiplexed transcriptional responses to wood smoke particles defines rapid aryl hydrocarbon receptor signaling dynamics

Genomics-based deconvolution of multiplexed transcriptional responses to wood smoke particles defines rapid AHR signaling dynamics


CaMa-Flood_v4 development master

Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river


A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints

Resolving inconsistencies and redundancies in declarative process models

Comprehensive Process Drift Detection with Visual Analytics

QRFA: A Data-Driven Model of Information-Seeking Dialogues

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Knowledge-based Conversational Search


Amalgamated likelihood estimation (ALE) is a probabilistic approach to exhaustively explore all reconciled gene trees that can be amalgamated as a combination of clades observed in a sample of gene trees. We implement the ALE approach in the context of a reconciliation model (cf. http://arxiv.org/abs/1211.4606 ), which allows for the duplication, transfer and loss of genes. We use ALE to efficiently approximate the sum of the joint likelihood over amalgamations and to find the reconciled gene tree that maximizes the joint likelihood among all such trees.

Lateral Gene Transfer from the Dead

Genome-scale phylogenetic analysis finds extensive gene transfer among Fungi

Buxus and Tetracentron genomes help resolve eudicot genome history

Expanding the phylogenetic distribution of cytochrome b-containing methanogenic archaea sheds light on the evolution of methanogenesis

MaxTiC: Fast ranking of a phylogenetic tree by Maximum Time Consistency with lateral gene transfers


Source code of the catalogue browser java application.

Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2017 data collection)

EFSA journal. European Food Safety Authority

Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2018 data collection)

Evaluation of Dietary Intake and Anthropometric Status in 1–9-Year-Old Children Living in Serbia: National Food Consumption Survey according to the EU Menu Methodology


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

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya


Codes for supersymmetric lattice gauge theories

Parallel software for lattice N=4 supersymmetric Yang-Mills theory

Testing holography using lattice super-Yang-Mills theory on a 2-torus

Progress and prospects of lattice supersymmetry

Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018)

Results from lattice simulations of N=4 supersymmetric Yang-Mills

Proceedings of The 32nd International Symposium on Lattice Field Theory — PoS(LATTICE2014)

Latest results from lattice N=4 supersymmetric Yang--Mills

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

Three-dimensional super-Yang-Mills theory on the lattice and dual black branes

Markov Chain Monte Carlo for Dummies

Thermal phase structure of dimensionally reduced super-Yang--Mills

Thermal phase structure of a supersymmetric matrix model

Proceedings of 37th International Symposium on Lattice Field Theory — PoS(LATTICE2019)

Lattice studies of supersymmetric gauge theories


Flood Risk modelling toolbox for Canada


Python library for the post-measurement analysis of real-time deformability cytometry (RT-DC) data sets

Physical phenotype of blood cells is altered in COVID-19

Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies

A New Hyperelastic Lookup Table for RT-DC


Scripts and data for OceanAdapt website to visualize shifts in marine animal distributions


EvoMaster Benchmark (EMB): a set of web/enterprise applications for experimentation in automated system testing

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

Testing RESTful APIs: A Survey

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Resource and dependency based test case generation for RESTful Web services

Improving Test Case Generation for REST APIs Through Hierarchical Clustering

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

Fuzzing Microservices In Industry: Experience of Applying EvoMaster at Meituan

White-Box and Black-Box Fuzzing for GraphQL APIs

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs


Public version of PolyChord: See polychord.co.uk for PolyChordPro

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: inferences in the stochastic gravitational-wave background search

Monthly Notices of the Royal Astronomical Society

On the detection of a cosmic dawn signal in the radio background

Assessing tension metrics with dark energy survey and Planck data

Astrophysical constraints from the SARAS 3 non-detection of the cosmic dawn sky-averaged 21-cm signal

Cosmology beyond BAO from the 3D distribution of the Lyman-α forest

Monthly notices of the Royal Astronomical Society

Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey

The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data

Compromise-free Bayesian neural networks

Invariant polynomials and machine learning

Bayesian methods for fitting Baryon Acoustic Oscillations in the Lyman-α forest

Journal of Cosmology and Astroparticle Physics


Create realistic networks of neurons, synapses placed using touch detection between axons and dendrites

The microcircuits of striatum in silico

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

Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


A Ruby on Rails application for proteomics data analysis

Unipept 4.0: Functional Analysis of Metaproteome Data

Unipept: Tryptic Peptide-Based Biodiversity Analysis of Metaproteome Samples

The Unipept metaproteomics analysis pipeline

Unipept web services for metaproteomics analysis

High-throughput metaproteomics data analysis with Unipept: A tutorial.

The unique peptidome: Taxon-specific tryptic peptides as biomarkers for targeted metaproteomics


Transactive Energy Service System

Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment


A library of mechanised undecidability proofs in the Coq proof assistant.

Hilbert's Tenth Problem in Coq (Extended Version)

Trakhtenbrot's Theorem in Coq, A Constructive Approach to Finite Model Theory

Towards a Coq formalization of a quantified modal logic

Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

Oracle Computability and Turing Reducibility in the Calculus of Inductive Constructions


An automated machine learning tool aimed to facilitate AutoML research.

Online AutoML: An adaptive AutoML framework for online learning

GAMA: a General Automated Machine learning Assistant


TreeMapper extends the Plant-for-the-Planet Platform and allows on site data registration for restoration initiatives.


SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Multilevel Graph Matching Networks for Deep Graph Similarity Learning

IEEE transactions on neural networks and learning systems

Conditional Graph Information Bottleneck for Molecular Relational Learning

Shift-Robust Molecular Relational Learning with Causal Substructure


Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR

TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

DeepCRISPR: optimized CRISPR guide RNA design by deep learning

Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements

Predicting tumor cell line response to drug pairs with deep learning

MethylNet: an automated and modular deep learning approach for DNA methylation analysis

Melissa: Bayesian clustering and imputation of single-cell methylomes

Extracting microRNA-gene relations from biomedical literature using distant supervision

Machine Learning Applications for Therapeutic Tasks with Genomics Data


Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

A Survey on Text Classification: From Shallow to Deep Learning

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters


Named Entity Recognition as Dependency Parsing

A Unified Generative Framework for Various NER Subtasks

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

Rethinking Negative Sampling for Handling Missing Entity Annotations

Segmenting Natural Language Sentences via Lexical Unit Analysis

Priberam Labs at the 3rd Shared Task on SlavNER

Workshop on Balto-Slavic Natural Language Processing


Trinotate annotation report summaries in R

De Novo Assembly and Annotation of the Larval Transcriptome of Two Spadefoot Toads Widely Divergent in Developmental Rate

Metatranscriptomic Analysis of Bacterial Communities on Laundered Textiles: A Pilot Case Study

Neurogenomic divergence during speciation by reinforcement of mating behaviors in chorus frogs (Pseudacris)

De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery


A MATLAB toolbox for performing information theory analyses of neuroscience data

A Tutorial for Information Theory in Neuroscience

Brain-wide interactions during hippocampal sharp wave ripples

Functional Connectome of the Human Brain with Total Correlation

Cortical Representation of Movement Across the Developmental Transition to Continuous Neural Activity

bioRxiv : the preprint server for biology


An equivalent circuit model (ECM) for a battery cell, module, and pack


Accurate and robust  imputation of scRNA-seq data

DrImpute: imputing dropout events in single cell RNA sequencing data

netSmooth: Network-smoothing based imputation for single cell RNA-seq

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations

Co-regulation and function of FOXM1/RHNO1 bidirectional genes in cancer

Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification

Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-seq Data

Imputation Methods for scRNA Sequencing Data

JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation


PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Learning to Embed Semantic Similarity for Joint Image-Text Retrieval

IEEE transactions on pattern analysis and machine intelligence

Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?

Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval


A resistome profiler for Graphing Resistance Out Of meTagenomes

Assessment of global health risk of antibiotic resistance genes

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Rapid Methods for Antimicrobial Resistance Diagnostics

Indexed variation graphs for efficient and accurate resistome profiling


Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Visualizing the effects of predictor variables in black box supervised learning models

Distribution-Free Predictive Inference For Regression

The (Un)reliability of saliency methods

Accurate intelligible models with pairwise interactions

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models

International Conference on Human Factors in Computing Systems

Auditing Black-box Models for Indirect Influence

Interpreting tree ensembles with inTrees


Python scripts for building 'Short Jokes' dataset, featured on Kaggle

Style is NOT a single variable: Case Studies for Cross-Style Language Understanding

From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey

Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor


Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

Learning Shape Abstractions by Assembling Volumetric Primitives

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

Reconstructing Superquadrics from Intensity and Color Images


Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling


A Python package for barycentric rational and polynomial interpolation and approximation.

The AAA Algorithm for Rational Approximation

An algorithm for best rational approximation based on barycentric rational interpolation

On Rational Krylov and Reduced Basis Methods for Fractional Diffusion

A unified rational Krylov method for elliptic and parabolic fractional diffusion problems

Managing temperature in open quantum systems strongly coupled with structured environments


Single View Geocentric Pose

Learning Geocentric Object Pose in Oblique Monocular Images

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Single View Geocentric Pose in the Wild

Disentangled Latent Transformer for Interpretable Monocular Height Estimation


GUI-based software for training, evaluating and applying deep neural nets for image classification

Cyclical Learning Rates for Training Neural Networks

AIDeveloper: deep learning image classification in life science and beyond

Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph)

Deep learning in forensic gunshot wound interpretation—a proof-of-concept study


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

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

Zenodo (CERN European Organization for Nuclear Research)

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

Ensembling Graph Predictions for AMR Parsing

AMR-DA: Data Augmentation by Abstract Meaning Representation

Findings of the Association for Computational Linguistics: ACL 2022

Multilingual AMR Parsing with Noisy Knowledge Distillation

Hierarchical Curriculum Learning for AMR Parsing

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

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

Findings of the Association for Computational Linguistics: ACL 2023

Multilingual Abstract Meaning Representation for Celtic Languages

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

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


CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system

Routine uncertainty propagation for the marine carbon dioxide system

Comparison of ten packages that compute ocean carbonate chemistry

Estimating the Absolute Salinity of Chinese offshore waters using nutrients and inorganic carbon data


The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Towards Cross-Table Masked Pretraining for Web Data Mining

TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

NCART: Neural Classification and Regression Tree for Tabular Data

Uncertainty Quantification for Local Model Explanations Without Model Access

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data


Contrast-agnostic segmentation of MRI scans

Brain Imaging Generation with Latent Diffusion Models

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

A Learning Strategy for Contrast-agnostic MRI Segmentation

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

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

Medical Image Computing and Computer-Assisted Intervention

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

Unsupervised Data Imputation via Variational Inference of Deep Subspaces

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

International Symposium on Biomedical Imaging

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

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


Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Subspace Regularizers for Few-Shot Class Incremental Learning

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

The Role of Global Labels in Few-Shot Classification and How to Infer Them

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization


Erasing Concepts from Diffusion Models

Erasing Concepts from Diffusion Models

MACE: Mass Concept Erasure in Diffusion Models

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Separable Multi-Concept Erasure from Diffusion Models


a project for developing registration tools with convolutional neural networks

Dual-Stream Pyramid Registration Network

FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy

On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks


MAGAN: Aligning Biological Manifolds

Deep Learning in Single-Cell Analysis

Diffusion Transport Alignment


Official Git repository of R package netmeta

CINeMA: An approach for assessing confidence in the results of a network meta-analysis

Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis

The Comparative Efficacy of Chlorhexidine Gluconate and Povidone-iodine Antiseptics for the Prevention of Infection in Clean Surgery

A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials Evaluating the Evidence Base of Melatonin, Light Exposure, Exercise, and Complementary and Alternative Medicine for Patients with Insomnia Disorder

Safety and Outcomes of Different Surgical Techniques for Cubital Tunnel Decompression

The Effect of Non-Nutritive Sweetened Beverages on Postprandial Glycemic and Endocrine Responses: A Systematic Review and Network Meta-Analysis

The maximum phonation time as marker for voice treatment efficacy: A network meta‐analysis

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery

Medications for the treatment of pulmonary arterial hypertension: a systematic review and network meta-analysis

European respiratory review : an official journal of the European Respiratory Society

Comparative Efficacy of Pharmacological and Nonpharmacological Interventions for Acne Vulgaris: A Network Meta-Analysis

Network meta-analysis and random walks


W2VV++: A fully deep learning solution for ad-hoc video search

W2VV++: Fully Deep Learning for Ad-hoc Video Search

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID


Self-supervised learning through the eyes of a child

A Simple Framework for Contrastive Learning of Visual Representations

How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?


[ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.

Adversarial Robustness Against the Union of Multiple Perturbation Models

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Adversarial Attack Generation Empowered by Min-Max Optimization

Optimization and Optimizers for Adversarial Robustness

Adversarial Robustness Against the Union of Multiple Threat Models

International Conference on Machine Learning


CogNet: a large-scale, high-quality cognate database for 338 languages, 1.07M words, and 8.1 million cognates

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

Special Interest Group on Computational Morphology and Phonology Workshop

CogNet: A Large-Scale Cognate Database

A large and evolving cognate database


Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

LTL2Action: Generalizing LTL Instructions for Multi-Task RL

Neuro-Symbolic World Models for Adapting to Open World Novelty

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers

Reinforcement Teaching

Reward Machines for Deep RL in Noisy and Uncertain Environments


PyTorch Image Quality Assessement package

PyTorch Image Quality: Metrics for Image Quality Assessment

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles

iVideoGPT: Interactive VideoGPTs are Scalable World Models


:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation

Learning-Based Defect Recognitions for Autonomous UAV Inspections

Deep Learning-Based Superpixel Texture Analysis for Crack Detection in Multi-Modal Infrastructure Images


python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Chaotic Systems with Multistability and Hidden Attractors

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Kernel-Based Ensemble Learning in Python


A Python Search Engine for Humans

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation

Structured Packing in LLM Training Improves Long Context Utilization

medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs

Generalizable and Scalable Multistage Biomedical Concept Normalization
  Leveraging Large Language Models


Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)

Formal Specifications from Natural Language

Neural Circuit Synthesis from Specification Patterns


A gene-targeted assembler tool

Xander: employing a novel method for efficient gene-targeted metagenomic assembly

Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin (TCDD) Dose-Dependently Shifts the Gut Microbiome Consistent with the Progression of Non-Alcoholic Fatty Liver Disease

International journal of molecular sciences

Review, Evaluation, and Directions for Gene-Targeted Assembly for Ecological Analyses of Metagenomes


GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles

Ground estimation and point cloud segmentation using SpatioTemporal Conditional Random Field

GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation


Pytorch implementation of Center Loss

A Discriminative Feature Learning Approach for Deep Face Recognition

C3VQG: Category Consistent Cyclic Visual Question Generation

Towards Unbiased Visual Emotion Recognition via Causal Intervention

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers

PetFace: A Large-Scale Dataset and Benchmark for Animal Identification


Easy domain adaptation method for filling the species gap in deep learning-based fruit detection

Lightweight Fruit-Detection Algorithm for Edge Computing Applications

CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism

Prediction of Harvest Time of Tomato Using Mask R-CNN


Inferring and visualizing clonal evolution in multi-sample cancer sequencing

Visualizing tumor evolution with the fishplot package for R

Dynamic changes in the clonal structure of MDS and AML in response to epigenetic therapy

Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases

Single-cell analysis based dissection of clonality in myelofibrosis

The clonal evolution of metastatic colorectal cancer

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Novel mutational landscapes and expression signatures of lung squamous cell carcinoma

Mutational dynamics and immune evasion in diffuse large B-cell lymphoma explored in a relapse-enriched patient series

Proteogenomics decodes the evolution of human ipsilateral breast cancer


PyTorch implementation of DGCNN

Distance metric learning for graph structured data

State of the Art and Potentialities of Graph-level Learning


R package to Run JAGS (Just Another Gibbs Sampler) analyses from within R

Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry

Food from faeces: Evaluating the efficacy of scat DNA metabarcoding in dietary analyses

A new mark-recapture approach for abundance estimation of social species

Forest cover mediates large and medium-sized mammal occurrence in a critical link of the Mesoamerican Biological Corridor

Do the antipredator strategies of shared prey mediate intraguild predation and mesopredator suppression?

The effect of climate on population growth in a cold-adapted ungulate at its equatorial range limit

Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks

Integrated population modelling reveals potential drivers of demography from partially aligned data: a case study of snowy plover declines under human stressors

Validation of a noninvasive technique to quantify stress in northern bobwhite (Colinus virginianus)


Cleaned up version of the PlotMachines code

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

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

LongStory: Coherent, Complete and Length Controlled Long story Generation


Human Pangenome Reference Consortium - HG002 Data Freeze (v1.0)

Semi-automated assembly of high-quality diploid human reference genomes

Curated variation benchmarks for challenging medically relevant autosomal genes

Extended haplotype-phasing of long-read de novo genome assemblies using Hi-C

Accelerating Minimap2 for Accurate Long Read Alignment on GPUs

DeepTrio: Variant Calling in Families Using Deep Learning

An Extensive Sequence Dataset of Gold-Standard Samples for Benchmarking and Development


Domain agnostic learning with disentangled representations

Domain Agnostic Learning with Disentangled Representations

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation


Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding


Manifold-learning flows (ℳ-flows)

Neural Spline Flows

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

Flows for simultaneous manifold learning and density estimation

Rectangular Flows for Manifold Learning

Multi-chart flows.


A one stop shop for all of your activity recognition needs.

Learning Spatiotemporal Features with 3D Convolutional Networks

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

M-PACT: An Open Source Platform for Repeatable Activity Classification Research


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

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

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

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

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

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


Code for MOPO: Model-based Offline Policy Optimization

COMBO: Conservative Offline Model-Based Policy Optimization

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Model-based Offline Reinforcement Learning with Count-based Conservatism

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

Planning with Sequence Models through Iterative Energy Minimization

Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators


COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images

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

Deep Transparent Prediction through Latent Representation Analysis

iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations


Pytorch implementation of β-VAE

Understanding disentangling in β-VAE

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Unpaired Image-to-Image Translation via Latent Energy Transport

Understanding Instance-based Interpretability of Variational Auto-Encoders

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification

Robust Domain-Free Domain Generalization with Class-aware Alignment


Transition-based tree-to-graph AMR Parser

An Incremental Parser for Abstract Meaning Representation

A Transition-based Algorithm for AMR Parsing

North American Chapter of the Association for Computational Linguistics

SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

Meeting of the Association for Computational Linguistics

RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy

Semi-supervised New Event Type Induction and Event Detection

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

SemBleu: A Robust Metric for AMR Parsing Evaluation

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

Parsing Meaning Representations: Is Easier Always Better?

AMR Normalization for Fairer Evaluation


Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

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

FREDE: Anytime Graph Embeddings

Adaptive Network Automata Modelling of Complex Networks


Database with information about Nuclear Power Plants worldwide.


Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning

International Joint Conference on Neural Network

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning


Code for ACL'2021 paper WARP  Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

WARP: Word-level Adversarial ReProgramming

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning


This repo contains the official training and testing codes for our paper:  GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Residual Dense Network for Image Super-Resolution


Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment


[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation


Repository for theory and methods for Out-of-Distribution (OoD) generalization

Invariant Risk Minimization Games

Empirical or Invariant Risk Minimization? A Sample Complexity Perspective

Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions

Treatment Effect Estimation using Invariant Risk Minimization


Building Radial Density Profiles for Interstellar Filaments

Filamentary Accretion Flows in the Infrared Dark Cloud G14.225–0.506 Revealed by ALMA

Dense Gas Kinematics and a Narrow Filament in the Orion A OMC1 Region Using NH3

Like a spider in its web: a study of the large-scale structure around the Coma cluster

ALMA Observations of NGC 6334S. II. Subsonic and Transonic Narrow Filaments in a High-mass Star Formation Cloud

OGHReS: Large-scale filaments in the outer Galaxy

ALMA Uncovers Highly Filamentary Structure toward the Sgr E Region

The Giant Molecular Cloud G148.24+00.41: Gas Properties, Kinematics, and Cluster Formation at the Nexus of Filamentary Flows


Circle plot with bundled edges

Prognostic Ability of Enhancer RNAs in Metastasis of Non-Small Cell Lung Cancer

Cancer predisposition signaling in Beckwith-Wiedemann Syndrome drives Wilms tumor development

Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis


Python port of B. Kelly's LINMIX_ERR IDL package

Compact Disks in a High-resolution ALMA Survey of Dust Structures in the Taurus Molecular Cloud

Evidence for a correlation between mass accretion rates onto young stars and the mass of their protoplanetary disks

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

Zenodo (CERN European Organization for Nuclear Research)

Physical properties of dusty protoplanetary disks in Lupus: evidence for viscous evolution?

CHAOS. III. GAS-PHASE ABUNDANCES IN NGC 5457

Scaling Relations Associated with Millimeter Continuum Sizes in Protoplanetary Disks

The ALPINE-ALMA [C II] survey No or weak evolution in the [C II]-SFR relation over the last 13 Gyr

An ALMA Survey of CO Isotopologue Emission from Protoplanetary Disks in Chamaeleon I

CHAOS IV: Gas-phase Abundance Trends from the First Four CHAOS Galaxies

A 40 Billion Solar-mass Black Hole in the Extreme Core of Holm 15A, the Central Galaxy of Abell 85


Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Efficient Zero-shot Event Extraction with Context-Definition Alignment

Trigger-Argument based Explanation for Event Detection

Findings of the Association for Computational Linguistics: ACL 2023


SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral)

Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks

International Journal of Computer Vision

SOTVerse: A User-defined Task Space of Single Object Tracking


Segment Anything Labelling Tool

VDD: Varied Drone Dataset for Semantic Segmentation

Domain Generalization for Crop Segmentation with Knowledge Distillation

NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields


Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

The eROSITA Final Equatorial-Depth Survey (eFEDS)

The Variable and Non-variable X-Ray Absorbers in Compton-thin Type II Active Galactic Nuclei

Investigating ULX accretion flows and cyclotron resonance in NGC 300 ULX1

Do stellar-mass and super-massive black holes have similar dining habits?

First X-Ray Polarization Measurement Confirms the Low Black Hole Spin in LMC X-3

Statistical Aspects of X-ray Spectral Analysis

X-Ray Redshifts of Obscured Chandra Source Catalog AGN


Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Uncertainty Modeling for Out-of-Distribution Generalization

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The Cognition of Audience to Artistic Style Transfer

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack


Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org

TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data

PREDICTIVE INTELLIGENCE IN MEDICINE (PRIME 2019)

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy


A deep learning model for classifying audio frames into [SPEECH, KCHI, CHI, MAL, FEM] classes.

Speaker Recognition from Raw Waveform with SincNet

pyannote.audio: neural building blocks for speaker diarization

An open-source voice type classifier for child-centered daylong recordings

ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings


Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

What do Neural Machine Translation Models Learn about Morphology?

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference

DeepBase: Deep Inspection of Neural Networks


mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

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

LMPriors: Pre-Trained Language Models as Task-Specific Priors

RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma

Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole‐brain modeling

Alzheimer's & dementia : the journal of the Alzheimer's Association

Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity

Radiomic analysis for early differentiation of lung cancer recurrence from fibrosis in patients treated with lung stereotactic ablative radiotherapy

A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19

Multiset multicover methods for discriminative marker selection


Empirical processing pipeline for The Virtual Brain

An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Constructing subject-specific virtual brains from multimodal neuroimaging data


Climate Variability Indices for Ecological Modelling


The Chargy E-Mobility Transparency Application for Windows, Mac OS X and Linux (based on Electron)


Classical molecular simulation code

Exploring the Potential of a Highly Scalable Metal-Organic Framework CALF-20 for Selective Gas Adsorption at Low Pressure

Correlation between Structure and Dynamics of Co2 Confined in Mg-Mof-74 and the Role of Inter-Crystalline Space: A Molecular Dynamics Simulation Study

Quantifying the Uncertainty of Force Field Selection on Adsorption Predictions in MOFs

Journal of Chemical Theory and Computation


Phased assembly variant caller

Recurrent inversion polymorphisms in humans associate with genetic instability and genomic disorders

Cas9 targeted enrichment of mobile elements using nanopore sequencing

Haplotype-resolved Chinese male genome assembly based on high-fidelity sequencing

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

Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet

Structural polymorphism and diversity of human segmental duplications


A script that applies the AdaIN style transfer method to arbitrary datasets

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation

Improving Object Detection in Art Images Using Only Style Transfer

A too-good-to-be-true prior to reduce shortcut reliance

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Enhancing the Robustness of Visual Object Tracking via Style Transfer

Computers, materials & continua/Computers, materials & continua (Print)

Towards generalization for Caenorhabditis elegans detection

Computational and structural biotechnology journal


Fast Inference for GW Astronomy, Research and Observations

GW190521: A binary black hole merger inside an active galactic nucleus?

Rapid localization of gravitational wave hosts with FIGARO

Hierarchical inference of evidence using posterior samples


Cleaning Raw EEG data

Benchmarking cEEGrid and Solid Gel-Based Electrodes to Classify Inattentional Deafness in a Flight Simulator

Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)

Aging and Complexity Effects on Hemisphere-Dependent Movement-Related Beta Desynchronization during Bimanual Motor Planning and Execution

Transcranial focused ultrasound to human rIFG improves response inhibition through modulation of the P300 onset latency

Resting-state electroencephalographic correlates of cognitive reserve: Moderating the age-related worsening in cognitive function

Alpha Suppression Is Associated with the Tip-of-the-Tongue (TOT) State Whereas Alpha Expression Is Associated with Knowing That One Does Not Know


Software for estimating correlation of trait effect sizes across populations

Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistanis and Bangladeshis

A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data

Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration

Evidence of causality of low body mass index on risk of adolescent idiopathic scoliosis: a Mendelian randomization study


Code for Universal Single-Cell Matching with Unpaired Feature Sets

Inferring and perturbing cell fate regulomes in human brain organoids

SCIM: universal single-cell matching with unpaired feature sets

Deep Learning in Single-Cell Analysis


A curated list of graph data augmentation papers.

Heterogeneous Graph Neural Network via Attribute Completion

NodeAug: Semi-Supervised Node Classification with Data Augmentation

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Graph Data Augmentation for Graph Machine Learning: A Survey

Data Augmentation for Graph Classification

International Conference on Information and Knowledge Management

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks

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


The mwtab package is a Python library that facilitates reading and writing files in mwTab format used by the Metabolomics Workbench for archival of Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR) experimental data.

A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository

Metabolomics : Official journal of the Metabolomic Society

The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository

The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data


Soil Data Access Web Services


R package to estimate q-values and false discovery rate quantities.

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Combinatorial CRISPR-Cas9 screens for de novo mapping of genetic interactions

Balancing trade-offs between biotic and abiotic stress responses through leaf age-dependent variation in stress hormone cross-talk

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

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Proteobacteria explain significant functional variability in the human gut microbiome

p62/SQSTM1-droplet serves as a platform for autophagosome formation and anti-oxidative stress response

HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design

Multinucleotide mutations cause false inferences of lineage-specific positive selection


Keras implementation of ViT (Vision Transformer)

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

Investigating the Vision Transformer Model for Image Retrieval Tasks

ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos

Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

It's DONE: Direct ONE-shot learning with quantile weight imprinting

2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips


A code to estimate transport coefficients from the cepstral analysis of a (multi)variate current stationary time series -- [FKA "thermocepstrum"]

Heat transport in liquid water from first-principles and deep neural network simulations

Heat and charge transport in H2O at ice-giant conditions from ab initio molecular dynamics simulations

Invariance principles in the theory and computation of transport coefficients

SporTran: A code to estimate transport coefficients from the cepstral analysis of (multivariate) current time series

QEHeat: An open-source energy flux calculator for the computation of heat-transport coefficients from first principles


Bamboo: a morphing smart contract language

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Smart Contract Security: a Practitioners' Perspective

Resource-Aware Session Types for Digital Contracts

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts


Python client utilties for interacting with the neuPrint connectome analysis service

Information flow, cell types and stereotypy in a full olfactory connectome

Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways

Localized inhibition in the Drosophila mushroom body

Connectomic analysis of the Drosophila lateral neuron clock cells reveals the synaptic basis of functional pacemaker classes

The anterior paired lateral neuron normalizes odour-evoked activity in the Drosophila mushroom body calyx

Nested neural circuits generate distinct acoustic signals during Drosophila courtship

Interactions between specialized gain control mechanisms in olfactory processing


Lab is a framework for evaluating planners and other solvers.


Stellar Occultation Library

A dense ring of the trans-Neptunian object Quaoar outside its Roche limit

SORA: Stellar occultation reduction and analysis

Monthly Notices of the Royal Astronomical Society

Earth-based Stellar Occultation Predictions for Jupiter, Saturn, Uranus, Neptune, Titan, and Triton: 2023-2050


Gpu Accelerated Library for Analysing Radio Interferometer Observations

GALARIO: a GPU accelerated library for analysing radio interferometer observations

High-resolution Millimeter Imaging of the CI Tau Protoplanetary Disk: A Massive Ensemble of Protoplanets from 0.1 to 100 au

Multiwavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift

Monthly notices of the Royal Astronomical Society

Synthetic observations of star formation and the interstellar medium

The VLA/ALMA Nascent Disk and Multiplicity (VANDAM) Survey of Orion Protostars. IV. Unveiling the Embedded Intermediate-Mass Protostar and Disk within OMC2-FIR3/HOPS-370


Sample search by metadata and features

Species abundance information improves sequence taxonomy classification accuracy

Calour: an Interactive, Microbe-Centric Analysis Tool

Comparative genomics of cocci-shaped Sporosarcina strains with diverse spatial isolation

A decade of GigaScience: 10 years of the evolving genomic and biomedical standards landscape


[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Towards Generalizable Tumor Synthesis

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

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking


Python PDF parser for scientific publications: content and figures

Geographic Citation Gaps in NLP Research

PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature

SurveyAgent: A Conversational System for Personalized and Efficient
  Research Survey


Statistical estimation of a clear sky signal from PV system power data

Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models

Statistical Clear Sky Fitting Algorithm


MIRTK based SVR reconstruction

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI

Fetal whole‐heart 4D imaging using motion‐corrected multi‐planar real‐time MRI

Fetal whole heart blood flow imaging using 4D cine MRI

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction

Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlas

medRxiv : the preprint server for health sciences


Code for plotting bounds on the abundance of primordial black holes (PBHs)

Primordial black holes as a dark matter candidate

Journal of Physics G: Nuclear and Particle Physics

Primordial black holes from the perturbations in the inflaton potential in peak theory

Dancing in the dark: detecting a population of distant primordial black holes

Journal of Cosmology and Astroparticle Physics

21 cm Forest Constraints on Primordial Black Holes

bradkav/PBHbounds: Release version

Primordial black holes from Higgs inflation with a Gauss-Bonnet coupling

Primordial black hole dark matter from catastrogenesis with unstable pseudo-Goldstone bosons

Signatures of primordial black hole dark matter at DUNE and THEIA

Stellar prospects for FRB gravitational lensing

Slaying Axion-Like Particles via Gravitational Waves and Primordial Black Holes from Supercooled Phase Transition


This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Sato: Contextual Semantic Type Detection in Tables


SKIRT version 9 -- advanced radiative transfer in dusty systems

SKIRT 9: redesigning an advanced dust radiative transfer code to allow kinematics, line transfer and polarization by aligned dust grains

High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project

X-ray radiative transfer in full 3D with SKIRT

sígame v3: Gas Fragmentation in Postprocessing of Cosmological Simulations for More Accurate Infrared Line Emission Modeling

Effects of Spatial Discretization in Lyα Line Radiation Transfer Simulations


Summarize Massive Datasets using Submodular Optimization

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Submodlib: A Submodular Optimization Library

SPEAR : Semi-supervised Data Programming in Python

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection

SMART: Submodular Data Mixture Strategy for Instruction Tuning


structural variant database software

From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

Comprehensive structural variation genome map of individuals carrying complex chromosomal rearrangements

Loqusdb: added value of an observations database of local genomic variation

Mosaic Deletions of Known Genes Explain Skeletal Dysplasias With High and Low Bone Mass


Software interfaces for interacting with brain atlases - Python client

Brain simulation as a cloud service: The Virtual Brain on EBRAINS

Cytoarchitecture, intersubject variability, and 3D mapping of four new areas of the human anterior prefrontal cortex

Cytoarchitectonic Maps of the Human Metathalamus in 3D Space


Parameterisation of Equivariant Properties of Particle Systems

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning

Atomic Cluster Expansion: Completeness, Efficiency and Stability

Equivariant analytical mapping of first principles Hamiltonians to accurate and transferable materials models

Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials.

QM/MM Methods for Crystalline Defects. Part 3: Machine-Learned MM Models

A framework for a generalisation analysis of machine-learned interatomic potentials

A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects


A novel approach for synthesizing tabular data using pretrained large language models

Language Models are Realistic Tabular Data Generators

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

CuTS: Customizable Tabular Synthetic Data Generation


Clarity Challenge toolkit - software for building Clarity Challenge systems

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss

Syllable-rate-adjusted-modulation (SRAM) predicts clear and conversational speech intelligibility


A statistics and context decoding toolbox for neuroimaging.

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Heritability of hippocampal functional and microstructural organisation

Whole‐brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine

Gradients of brain organization: Smooth sailing from methods development
  to user community

Functional gradients reveal cortical hierarchy changes in multiple sclerosis

Differences in structural connectome organization across sleep quality


[NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents

Instruction Tuning for Large Language Models: A Survey

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Assessment of Multimodal Large Language Models in Alignment with Human
  Values

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models


IRAF - Image Reduction and Analysis Facility

Periodic transit timing variations and refined system parameters of the exoplanet XO-6b

The near-core rotation of HD 112429

Matter ejections behind the highs and lows of the transitional millisecond pulsar PSR J1023+0038

Automated SpectroPhotometric Image REDuction (ASPIRED) -- A Python-based spectral data reduction toolkit

Variability of eclipse timing:the case of V471 Tauri

HD 60431, the CP2 star with the shortest rotational period

Characterisation of Herschel-selected strong lens candidates through HST and sub-mm/mm observations


Global Forest Carbon Database


TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata

Embracing Irregular Parallelism in HPC with YGM

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

Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs


De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

De novo mass spectrometry peptide sequencing with a transformer model

Sequence-to-sequence translation from mass spectra to peptides with a transformer model

A learned score function improves the power of mass spectrometry database search


Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)