A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

The contribution of N-rich stars to the Galactic stellar halo using APOGEE red giants

Monthly notices of the Royal Astronomical Society

EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations Using an XD Gaussian Mixture Model

The stellar halo of the Milky Way traced by blue horizontal-branch stars
  in the Subaru Hyper Suprime-Cam Survey

Galactic double neutron star total masses and Gaussian mixture model selection

Paving the way forEuclid and JWST via probabilistic selection of high-redshift quasars

The VVV open cluster project II. Near-infrared sequences of 37 open clusters on eight-dimensional parameter space

Monthly Notices of the Royal Astronomical Society


Public Kerr metric polarized ray tracing radiative transfer code

Detection of orbital motions near the last stable circular orbit of the massive black hole SgrA*

A public code for general relativistic, polarised radiative transfer around spinning black holes

Faraday rotation in GRMHD simulations of the jet launching zone of M87

Sgr A* near-infrared flares from reconnection events in a magnetically arrested disc

Ab Initio Horizon-scale Simulations of Magnetically Arrested Accretion in Sagittarius A* Fed by Stellar Winds

The impact of Faraday effects on polarized black hole images of Sagittarius A

Evolving non-thermal electrons in simulations of black hole accretion

General Purpose Ray Tracing and Polarized Radiative Transfer in General Relativity

The impact of non-thermal electrons on event horizon scale images and spectra of Sgr A*

Radiative Transfer with POLARIS. II. Modeling of Synthetic Galactic Synchrotron Observations


The repo contains SDK for Penglai Enclave (based on RISC-V TVM).


Official implementation of project Honeybee (CVPR 2024)

MMBench: Is Your Multi-modal Model an All-around Player?

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Honeybee: Locality-enhanced Projector for Multimodal LLM


Official PyTorch implementation of GENESIS and GENESIS-V2

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

Reconstruction Bottlenecks in Object-Centric Generative Models

Unsupervised Object Learning via Common Fate

Learning Foreground-Background Segmentation from Improved Layered GANs

Toward Compositional Generalization in Object-Oriented World Modeling

Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning


Codes of Centripetal SGD

Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN

Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning


A tool to assess the quality and distribution of genomic data

SWI/SNF and RSC cooperate to reposition and evict promoter nucleosomes at highly expressed genes in yeast

Evidence of pioneer factor activity of an oncogenic fusion transcription factor

The DNA-binding protein HTa from Thermoplasma acidophilum is an archaeal histone analog

Creating 2D Occupancy Plots Using plot2DO

STEM CELL TRANSCRIPTIONAL NETWORKS: METHODS AND PROTOCOLS, 2ND EDITION


Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting


A generalized Louvain method for community detection implemented in MATLAB

Network analysis of particles and grains

Muscle Synergies and Coherence Networks Reflect Different Modes of Coordination During Walking

Sub-second dynamics of theta-gamma coupling in hippocampal CA1

Sectorization for Water Distribution Systems with Multiple Sources: A Performance Indices Comparison

Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization

Acute Effect of Betel Quid Chewing on Brain Network Dynamics: A Resting-State Functional Magnetic Resonance Imaging Study

Ecological Adaptation and Succession of Human Fecal Microbial Communities in an Automated In Vitro Fermentation System

Graph Clustering in All Parameter Regimes

Mapping the semi-nested community structure of 3D chromosome contact networks

Modular-Level Functional Connectome Alterations in Individuals With Hallucinations Across the Psychosis Continuum


:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining

An overview of event extraction and its applications

Chinese Event Extraction Based on Attention and Semantic Features: A Bidirectional Circular Neural Network

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

Chinese Emergency Event Recognition Using Conv-RDBiGRU Model

Computational intelligence and neuroscience


Deep Averaging Networks

Deep Unordered Composition Rivals Syntactic Methods for Text Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Aff2Vec: Affect--Enriched Distributional Word Representations


ShortStack: Comprehensive annotation and quantification of small RNA genes

Improved Placement of Multi-mapping Small RNAs

Small RNAs from the wheat stripe rust fungus (Puccinia striiformis f.sp. tritici)

Environmental and epigenetic regulation of Rider retrotransposons in tomato

TarDB: an online database for plant miRNA targets and miRNA-triggered phased siRNAs

Integrated Analysis of Small RNA, Transcriptome and Degradome Sequencing Provides New Insights into Floral Development and Abscission in Yellow Lupine (Lupinus luteus L.)

International journal of molecular sciences

Butter: High-precision genomic alignment of small RNA-seq data

A role for MIR828 in pineapple fruit development

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

Evolution of microRNAs in Amoebozoa and implications for the origin of multicellularity

Differential Expression of miRNAs Involved in Response to Candidatus Liberibacter asiaticus Infection in Mexican Lime at Early and Late Stages of Huanglongbing Disease


Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Simple Baseline for Bayesian Uncertainty in Deep Learning

A Kronecker-factored approximate Fisher matrix for convolution layers

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Diagonal Rescaling For Neural Networks

Differential Dynamic Programming Neural Optimizer.

Dynamic Game Theoretic Neural Optimizer

DDPNOpt: Differential Dynamic Programming Neural Optimizer

A Differential Game Theoretic Neural Optimizer for Training Residual Networks


BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs
  Miss

BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack


Python API for interactive fiction games

Language Understanding for Text-based Games Using Deep Reinforcement Learning

Deep Reinforcement Learning with a Natural Language Action Space

Using reinforcement learning to learn how to play text-based games

Baselines for Reinforcement Learning in Text Games

A survey of benchmarks for reinforcement learning algorithms


[ECCV 2022] Official implementation of the paper: Audio-Visual Segmentation

Audio-Visual Segmentation

Audio-Visual Segmentation with Semantics

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation


Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Regularization with Latent Space Virtual Adversarial Training

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

Learning with Multiplicative Perturbations


A tool to reduce the size of Oxford Nanopore Technologies' datasets without losing information

Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Portable nanopore-sequencing technology: Trends in development and applications

SquiggleKit: a toolkit for manipulating nanopore signal data


Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions

Does "Deep Learning on a Data Diet" reproduce? Overall yes, but GraNd at Initialization does not


A simple library for Fréchet Audio Distance (FAD) calculation

FMA: A Dataset For Music Analysis

Adapting Frechet Audio Distance for Generative Music Evaluation

Rethinking Emotion Bias in Music via Frechet Audio Distance

An Independence-promoting Loss for Music Generation with Language Models

Generating Speakers by Prompting Listener Impressions for Pre-trained
  Multi-Speaker Text-to-Speech Systems


Multi30k Dataset

Multi30K: Multilingual English-German Image Descriptions

Unifying Vision-and-Language Tasks via Text Generation

Findings of the Third Shared Task on Multimodal Machine Translation

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

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

Neural machine translation: Challenges, progress and future

Neural Machine Translation with Phrase-Level Universal Visual Representations

VALHALLA: Visual Hallucination for Machine Translation

Simultaneous Machine Translation with Visual Context

Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models

Lessons learned in multilingual grounded language learning


Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative

Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment

A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm

Introduction to in silico model for proarrhythmic risk assessment under the CiPA initiative

Global Sensitivity Analysis of Ventricular Myocyte Model-Derived Metrics for Proarrhythmic Risk Assessment

Assessment of proarrhythmogenic risk for chloroquine and hydroxychloroquine using the CiPA concept

Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs

Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk

Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment

Validation of in silico biomarkers for drug screening through ordinal logistic regression


Robust Open Reading Frame prediction (ANGLE re-implementation)

Full-length mRNA sequencing uncovers a widespread coupling between transcription initiation and mRNA processing

Transcriptional fates of human-specific segmental duplications in brain

A highly contiguous genome assembly of Brassica nigra (BB) and revised nomenclature for the pseudochromosomes

Genome Sequence and Analysis of Nicotiana benthamiana, the Model Plant for Interactions between Organisms

Combining next-generation sequencing and single-molecule sequencing to explore brown plant hopper responses to contrasting genotypes of japonica rice

Full-Length Transcriptome Analyses of Genes Involved in Triterpenoid Saponin Biosynthesis of Psammosilene tunicoides Hairy Root Cultures With Exogenous Salicylic Acid

Full-length mRNA sequencing uncovers a widespread coupling between transcription and mRNA processing

Using long-read CAGE sequencing to profile cryptic-promoter-derived transcripts and their contribution to the immunopeptidome

The mechanism underlying asymmetric bending of lateral petals in Delphinium (Ranunculaceae)

Full-Length Transcriptome Analysis of the Ichthyotoxic Harmful Alga Heterosigma akashiwo (Raphidophyceae) Using Single-Molecule Real-Time Sequencing


A semi-analytical satellite galaxy and dark matter halo generator

SatGen: a semi-analytical satellite galaxy generator – I. The model and its application to Local-Group satellite statistics

The tidal evolution of dark matter substructure – II. The impact of artificial disruption on subhalo mass functions and radial profiles

SMBH seeds from dissipative dark matter

Journal of Cosmology and Astroparticle Physics

SatGen -- II. Assessing the impact of a disc potential on subhalo populations

ELVES. IV. The Satellite Stellar-to-halo Mass Relation Beyond the Milky Way

Core formation in high-z massive haloes: heating by post-compaction satellites and response to AGN outflows

Dynamics of stellar disc tilting from satellite mergers


Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.

Annealed Flow Transport Monte Carlo

Continual Repeated Annealed Flow Transport Monte Carlo

Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization


This is a collection of convenient methods for data science competition.

Unsupervised Data Augmentation for Consistency Training

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Searching for A Robust Neural Architecture in Four GPU Hours


Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization

The potential of artificial intelligence for achieving healthy and sustainable societies


Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Localization of Fake News Detection via Multitask Transfer Learning

Establishing Baselines for Text Classification in Low-Resource Languages

Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets

Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language


Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

Post-selection inference with HSIC-Lasso

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Applying causal discovery to single-cell analyses using CausalCell

Variation of DNA methylation on the IRX1/2 genes is responsible for the neural differentiation propensity in human induced pluripotent stem cells

Learning Sinkhorn divergences for supervised change point detection


This is the parent repository for all the GEDE related activities (PIDs, Repositories, blockchains, citations, digital objects, surveys). We welcome comments to all activities.

FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Not Ready for Convergence in Data Infrastructures

Open Science and Data Science

Reproducible Research Publication Workflow: A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output

Updating Linked Data practices for FAIR Digital Object principles

Revolutions Take Time

A 25 Year Retrospective on D-Lib Magazine

Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)


Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning

Periodic Variability in gamma-ray Emitting Blazars with Fermi-LAT

A direct method to detect deterministic and stochastic properties of data

Two-qubit sweet spots for capacitively coupled exchange-only spin qubits

Permutation entropy and complexity analysis of large-scale solar wind structures and streams

The potential of convolutional neural networks for identifying neural states based on electrophysiological signals: experiments on synthetic and real patient data


Coronavirus (SARS-Cov-2) sequencing analysis

Prediction of SARS-CoV-2 Variant Lineages Using the S1-Encoding Region Sequence Obtained by PacBio Single-Molecule Real-Time Sequencing

Whole‐genome sequencing of SARS‐CoV‐2: Comparison of target capture and amplicon single molecule real‐time sequencing protocols

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing

VCFCons: a versatile VCF-based consensus sequence generator for small genomes


Find and characterise transposable element insertions

L1 retrotransposition is a common feature of mammalian hepatocarcinogenesis

The Role of SINE-VNTR-Alu (SVA) Retrotransposons in Shaping the Human Genome

Evidence for L1-associated DNA rearrangements and negligible L1 retrotransposition in glioblastoma multiforme

Dynamic Methylation of an L1 Transduction Family during Reprogramming and Neurodifferentiation

Non-coding genetic variation shaping mental health


Standard tools and protocols for MiSeq amplicon sequencing of 16S rRNA genes

Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance

The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young

New Primers for Discovering Fungal Diversity Using Nuclear Large Ribosomal DNA

Nutritional, Microbial, and Allergenic Changes during the Fermentation of Cashew ‘Cheese’ Product Using a Quinoa-Based Rejuvelac Starter Culture

Preen gland microbiota covary with major histocompatibility complex genotype in a songbird

Multiple Fungi May Connect the Roots of an Orchid (Cypripedium reginae) and Ash (Fraxinus nigra) in Western Newfoundland

Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing


MAFAND-MT

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

AfriTeVA: Extending ?Small Data? Pretraining Approaches to Sequence-to-Sequence Models

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language

Cheetah: Natural Language Generation for 517 African Languages

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages


RepeatProfiler: a pipeline for visualization and comparative analysis of repetitive DNA profiles

A Long-Term Conserved Satellite DNA That Remains Unexpanded in Several Genomes of Characiformes Fish Is Actively Transcribed

Comparative Analysis of Transposable Elements in Genus Calliptamus Grasshoppers Revealed That Satellite DNA Contributes to Genome Size Variation

Genomic and Transcriptomic Survey Provides New Insight into the Organization and Transposition Activity of Highly Expressed LTR Retrotransposons of Sunflower (Helianthus annuus L.)

Satellitome Analysis and Transposable Elements Comparison in Geographically Distant Populations of Spodoptera frugiperda


Wavelet Phase Harmonics in PyTorch for Images

A new approach for the statistical denoising of Planck interstellar dust polarization data

Single frequency CMB B-mode inference with realistic foregrounds from a single training image

Monthly Notices of the Royal Astronomical Society: Letters

Generative Models of Multichannel Data from a Single Example—Application to Dust Emission


Out-of-distribution detection using the pNML regret. NeurIPS2021

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

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices

Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection


Planck 2018 results. VIII. Gravitational lensing

Maximum a posteriori CMB lensing reconstruction

Planck intermediate results. LIII. Detection of velocity dispersion from the kinetic Sunyaev-Zeldovich effect

Quadratic estimators for CMB weak lensing

Internal Delensing of Cosmic Microwave Background Polarization B-Modes with the POLARBEAR Experiment.

Optimal filtering for CMB lensing reconstruction

Cluster profiles from beyond-the-QE CMB lensing mass maps

Impact of thermal Sunyaev–Zeldovich effect on cross-correlations between Planck cosmic microwave background lensing and SDSS galaxy density fields

CMB delensing with neural network based lensing reconstruction in the presence of primordial tensor perturbations


Outdated, see new https://github.com/braindecode/braindecode

Machine-learning-based diagnostics of EEG pathology

Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

Time-space-frequency feature Fusion for 3-channel motor imagery classification

Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification

Improving Network Training on Resource-Constrained Devices via Habituation Normalization


scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network

From single- to multi-omics: future research trends in medicinal plants

Deep Learning in Single-Cell Analysis

Reference-free Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network


Nitric oxide acts as a cotransmitter in a subset of dopaminergic neurons to diversify memory dynamics

Neural Evolution of Context-Dependent Fly Song

A functionally ordered visual feature map in the Drosophila brain

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

Neuronal circuits integrating visual motion information in Drosophila melanogaster

Transsynaptic mapping of Drosophila mushroom body output neurons

Spatial readout of visual looming in the central brain of Drosophila

Controlling motor neurons of every muscle for fly proboscis reaching

Hierarchical architecture of dopaminergic circuits enables second-order conditioning in Drosophila

Taste quality and hunger interactions in a feeding sensorimotor circuit


Code to automatically evaluate and tune parameters for Kimera-VIO pipeline.

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities


A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

International Conference on Image Processing

Pyramidal Denoising Diffusion Probabilistic Models

SRGAN: Training Dataset Matters


Source code for the ICDCS 2022 paper "Dissecting the Performance of Chained-BFT"

Scaling Blockchain Consensus via a Robust Shared Mempool

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis


Multi-modal features toolkit in Python

Learning Multimodal Word Representation via Dynamic Fusion Methods

Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

MMFeat: A Toolkit for Extracting Multi-Modal Features

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS

Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Visual Denotations for Recognizing Textual Entailment

Investigating Rich Feature Sources for Conceptual Representation Encoding

Workshop on Cognitive Aspects of the Lexicon

Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment


Automated machine learning (AutoML) with grammar-based genetic programming

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

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


Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

SEMI-ANALYTIC GALAXY EVOLUTION (SAGE): MODEL CALIBRATION AND BASIC RESULTS

The Astrophysical Journal Supplement Series

Building disc structure and galaxy properties through angular momentum: the DARK SAGE semi-analytic model

MULTIDARK-GALAXIES: Data release and first results

THE THEORETICAL ASTROPHYSICAL OBSERVATORY: CLOUD-BASED MOCK GALAXY CATALOGS*

Physical drivers of galaxies' cold-gas content: exploring environmental and evolutionary effects with DARK SAGE

The origin of dust in galaxies across cosmic time

Monthly notices of the Royal Astronomical Society

The 21 cm bispectrum during reionization: a tracer of the ionization topology

The many lives of active galactic nuclei–II: The formation and evolution of radio jets and their impact on galaxy evolution

Monthly Notices of the Royal Astronomical Society

The escape fraction of ionizing photons during the Epoch of Reionization: observability with the Square Kilometre Array

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


R package to easily generate "V-plots" of paired-end sequencing data over regions of interest

Cooperation between bHLH transcription factors and histones for DNA access

Distinctive regulatory architectures of germline-active and somatic genes in C. elegans

Tissue-specific profiling reveals distinctive regulatory architectures for ubiquitous, germline and somatic genes


A Python package for benchmarking pathway database with functional enrichment and classification methods

The Cancer Genome Atlas Pan-Cancer analysis project

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases

Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data


Tensor network simulations for finite temperature, open quantum system dynamics

Influence of non-adiabatic effects on linear absorption spectra in the condensed phase: Methylene blue

Simulating Quantum Vibronic Dynamics at Finite Temperatures With Many Body Wave Functions at 0 K

MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics

From Non-Markovian Dissipation to Spatiotemporal Control of Quantum Nanodevices

Managing temperature in open quantum systems strongly coupled with structured environments

Extending Non-Perturbative Simulation Techniques for Open-Quantum
  Systems to Excited-State Proton Transfer and Ultrafast Non-Adiabatic Dynamics

Matrix Product State Simulations of Non-equilibirum Steady States and Transient Heat Flows in the Two-Bath Spin-Boson Model at Finite Temperatures


Code base for the U.S. EPA’s Atmospheric Model Evaluation Tool (AMET)

The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation.

Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0)


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


Portable RISC-V System-on-Chip implementation: RTL, debugger and simulators

Node Monitoring as a Fault Detection Countermeasure against Information Leakage within a RISC-V Microprocessor


Measuring the atmospheric neutrino oscillation parameters and constraining the 3+1 neutrino model with ten years of ANTARES data

Letter of interest for a neutrino beam from Protvino to KM3NeT/ORCA

Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA

Unveiling the outer core composition with neutrino oscillation tomography

Super-ORCA: Measuring the leptonic CP-phase with Atmospheric Neutrinos and Beam Neutrinos

Neutrino tagging: a new tool for accelerator based neutrino experiments

The ANTARES Collaboration: Contributions to ICRC 2017 Part III: Searches for dark matter and exotics, neutrino oscillations and detector calibration


Official reinforcement learning environment for demand response and load shaping

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management

Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings

A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn

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


A kernel-density-based, embarrassingly parallel ensemble sampler

Data Analysis Recipes: Using Markov Chain Monte Carlo

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

Inferring probabilistic stellar rotation periods using Gaussian processes

GW190521 May Be an Intermediate-mass Ratio Inspiral

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

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

Parameter estimation with gravitational waves

Ensemble slice sampling

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

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


Tumor genotyper,  that detects SNV, absolute CNV and Tumor contents

Genetic and epigenetic basis of hepatoblastoma diversity

Distinct molecular profile of diffuse cerebellar gliomas

Sequencing artifacts derived from a library preparation method using enzymatic fragmentation


:rocket: State-of-the-art parsers for natural language.

Deep Biaffine Attention for Neural Dependency Parsing

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Simpler but More Accurate Semantic Dependency Parsing

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network

Efficient Second-Order TreeCRF for Neural Dependency Parsing

Fast and Accurate Neural CRF Constituency Parsing

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

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

Findings of the Association for Computational Linguistics: ACL 2022

Substructure Substitution: Structured Data Augmentation for NLP


Imputation of parental genotypes, inference of sibling IBD segments, family based GWAS, and polygenic score analyses.

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Mendelian imputation of parental genotypes for genome-wide estimation of direct and indirect genetic effects

Studying the genetics of participation using footprints left on the ascertained genotypes

Novel estimators for family-based genome-wide association studies increase power and robustness


Tools for multi-label classification problems.

On Data Augmentation for Extreme Multi-label Classification

A Survey on Extreme Multi-label Learning


Repository for the documentation for Factom

Blockchain and IoT Integration: A Systematic Survey

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

Dominating OP Returns: The Impact of Omni and Veriblock on Bitcoin


This is a webshell open source project

Mitigating Webshell Attacks through Machine Learning Techniques

A Web Shell Detection Method Based on Multiview Feature Fusion

WebShell Attack Detection Based on a Deep Super Learner

WTA: A Static Taint Analysis Framework for PHP Webshell

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)

BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost


YOU SHALL NOT COMPUTE on my Data: Access Policies for Privacy-Preserving Data Marketplaces and an Implementation for a Distributed Market using MPC

Zenodo (CERN European Organization for Nuclear Research)

BISON: Blind Identification with Stateless scOped pseudoNyms

TreeTracker Join: Turning the Tide When a Tuple Fails to Join

Automated Identification of Performance Changes at Code Level

International Conference on Software Quality, Reliability and Security


OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

Fundamentals of spreading processes in single and multilayer complex networks

Quantifying the spatial homogeneity of urban road networks via graph neural networks

Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood

Crash and disengagement data of autonomous vehicles on public roads in California

The Right Tools for the Job: The Case for Spatial Science Tool-Building

Modelling cyclists’ route choice using Strava and OSMnx: A case study of the City of Glasgow

Transportation Research Interdisciplinary Perspectives

Methods and Measures for Analyzing Complex Street Networks and Urban Form

Predicting Venue Popularity Using Crowd-Sourced and Passive Sensor Data

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator


MACER: MAximizing CErtified Radius (ICLR 2020)

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

Consistency Regularization for Certified Robustness of Smoothed Classifiers

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Data-Dependent Randomized Smoothing

Accelerating Certified Robustness Training via Knowledge Transfer


Ruby gem for finding citations of open scientific code

marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R

Spatial and Temporal Trends of Global Pollination Benefit

Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy

Effectiveness of a Safe Routes to School Program in Preventing School-Aged Pedestrian Injury

Genome-Wide Association Study of Lp-PLA2 Activity and Mass in the Framingham Heart Study

NeatMap - non-clustering heat map alternatives in R

Advances in Linking Wintering Migrant Birds to Their Breeding-Ground Origins Using Combined Analyses of Genetic and Stable Isotope Markers

Seasonal Response of Grasslands to Climate Change on the Tibetan Plateau

A Geospatial Modelling Approach Integrating Archaeobotany and Genetics to Trace the Origin and Dispersal of Domesticated Plants

Assessing Species Distribution Using Google Street View: A Pilot Study with the Pine Processionary Moth


Deep Learning for Extreme Multi-label Text Classification

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Learning with Holographic Reduced Representations


MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 Demo）

A Semantic Invariant Robust Watermark for Large Language Models

An Unforgeable Publicly Verifiable Watermark for Large Language Models

An Entropy-based Text Watermarking Detection Method

Can Watermarks Survive Translation? On the Cross-lingual Consistency of
  Text Watermark for Large Language Models


git mirror for Beautiful Soup 4.3.2

Reinforcement learning for question answering in programming domain using public community scoring as a human feedback

Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques

Harnessing Large Language Model to collect and analyze Metal-organic
  framework property dataset


An easy-to-use tool for phrase encoding and topic mining (unsupervised aspect extraction); Code base for ACL 2022 paper, UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention


[IJCAI2022] Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Embedding Logical Queries on Knowledge Graphs

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

InDiD: Instant Disorder Detection via Representation Learning

Learning Sinkhorn divergences for supervised change point detection


Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018

Structured Object-Aware Physics Prediction for Video Modeling and Planning

Deep Learning for Vision-based Prediction: A Survey

Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders

Learning Disentangled Representations of Video with Missing Data

ARMA Nets: Expanding Receptive Field for Dense Prediction


Data plus code fo Classification of Heart Sound Signal Using Multiple Features

Automatic Detection and Classification of Cardiovascular Disorders Using Phonocardiogram and Convolutional Vision Transformers

Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

Transfer Learning Models for Detecting Six Categories of Phonocardiogram Recordings

Journal of cardiovascular development and disease

Heart Sound Classification Network Based on Convolution and Transformer

Deep Learning Algorithm for Heart Valve Diseases Assisted Diagnosis


Code and data for the experiments in "On Fairness and Calibration"

Equality of Opportunity in Supervised Learning

On Fairness and Calibration

Fairness for Robust Log Loss Classification

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

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

Learning from Discriminatory Training Data

Multiple Attribute Fairness: Application to Fraud Detection


Experiments with multimodal deep learning models based on transformers

Gated Multimodal Units for Information Fusion

Supervised Multimodal Bitransformers for Classifying Images and Text

Moviescope: Large-scale Analysis of Movies using Multiple Modalities

Multimodal Weighted Fusion of Transformers for Movie Genre Classification

Proceedings of the Third Workshop on Multimodal Artificial Intelligence


(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

ShapeNet: An Information-Rich 3D Model Repository

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Neural 3D Mesh Renderer


Differential evolution global optimization in Python.

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

An Ultra-short Period Rocky Super-Earth with a Secondary Eclipse and a Neptune-like Companion around K2-141

The GAPS programme with HARPS-N at TNG XI. Pr~0211 in M~44: the first multi-planet system in an open cluster

Multicolour photometry for exoplanet candidate validation

A Sub-Neptune-sized Planet Transiting the M2.5 Dwarf G 9-40: Validation with the Habitable-zone Planet Finder

A possibly inflated planet around the bright young star DS Tucanae A

Kepler-423b: a half-Jupiter mass planet transiting a very old solar-like star

A Low-mass Exoplanet Candidate Detected by K2 Transiting the Praesepe M Dwarf JS 183

The GAPS Programme at TNG: XXI. A GIARPS case study of known young planetary candidates: Confirmation of HD 285507 b and refutation of AD Leonis b

Masses and radii for the three super-Earths orbiting GJ 9827, and implications for the composition of small exoplanets


[NeurIPS 2023] Meta-Adapter

Learning to Prompt for Vision-Language Models

CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model


Information Security Knowledge Graph  about NVD CAPEC CWE CPE ..

Cybersecurity knowledge graphs

A review of knowledge graph application scenarios in cyber security

Artificial Intelligence for Threat Anomaly Detection Using Graph Databases – A Semantic Outlook

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection


SambaR: Snp datA Management and Basic Analyses in R

SambaR: an R package for fast, easy and reproducible population-genetic analyses of biallelic SNP datasets

Detecting genetic signals of selection in heavily bottlenecked reindeer populations by comparing parallel founder events

New insights in the Spanish gene pool of olive (Olea europaea L.) preserved ex situ and in situ based on high-throughput molecular markers

Genetic Variability and Kinship Analyses of Seized Red-Browed Amazon, Amazona rhodocorytha (Aves, Psittacidae)


Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

EasyTPP: Towards Open Benchmarking Temporal Point Processes

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

An Empirical Study: Extensive Deep Temporal Point Process

Decoupled Marked Temporal Point Process using Neural Ordinary
  Differential Equations


repository for Universal Domain Adaptation through Self-supervision

Universal Domain Adaptation through Self Supervision

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Domain Adaptation under Open Set Label Shift

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

Universal Domain Adaptation from Foundation Models: A Baseline Study

Synthetic Source Universal Domain Adaptation through Contrastive Learning


Contrastive Learning (SimCLR) for Human Activity Recognition

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

Assessing the State of Self-Supervised Human Activity Recognition Using Wearables

A Co-training Approach for Noisy Time Series Learning

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

Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data

Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition


Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023

StarCoder: may the source be with you!

SantaCoder: don't reach for the stars!

Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers


[TMC 2024] FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation

FedICT: Federated Multi-task Distillation for Multi-access Edge Computing

Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates

FedCache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation


Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable

End-to-End Beam Retrieval for Multi-Hop Question Answering

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks


Conditional Theorem Proving

Differentiable Reasoning on Large Knowledge Bases and Natural Language

Learning Reasoning Strategies in End-to-End Differentiable Proving

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks


Pipeline to detect PAVs (presence/absence variations) in genome comparison using whole genome alignment.

A mini foxtail millet with an Arabidopsis-like life cycle as a C4 model system

The Origins and Vulnerabilities of Two Transmissible Cancers in Tasmanian Devils

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


White blood cell (WBC) image datasets

Automated Diagnosis of Leukemia: A Comprehensive Review

Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT

Computational and mathematical methods in medicine

A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

Rethinking the Dilated Encoder in TE-YOLOF: An Approach Based on Attention Mechanism to Improve Performance for Blood Cell Detection

International journal of molecular sciences


Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Multi-Task Learning as a Bargaining Game

FAMO: Fast Adaptive Multitask Optimization

FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation


A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture

North American Chapter of the Association for Computational Linguistics

Ontology Matching Using Convolutional Neural Networks

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

Hybrid Feature Model for Emotion Recognition in Arabic Text

dpUGC: Learn Differentially Private Representation for User Generated Contents

Matching sensor ontologies through siamese neural networks without using reference alignment

Learning representations for sentiment classification using Multi-task framework

Empirical Methods in Natural Language Processing

Related Tasks can Share! A Multi-task Framework for Affective language


Exposure Matrix Factorization: modeling user exposure in recommendation

Modeling User Exposure in Recommendation

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation


This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space

Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data


FBNet: Feedback Network for Point Cloud Completion

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

Point Cloud Upsampling via Cascaded Refinement Network

MDR-MFI:Multi-Branch Decoupled Regression and Multi-Scale Feature Interaction for Partial-to-Partial Cloud Registration

IEEE International Conference on Acoustics, Speech, and Signal Processing


Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Deep Domain Confusion: Maximizing for Domain Invariance

Revisiting Batch Normalization For Practical Domain Adaptation


R package

pRRophetic: An R Package for Prediction of Clinical Chemotherapeutic Response from Tumor Gene Expression Levels

M2-like tumor-associated macrophage-related biomarkers to construct a novel prognostic signature, reveal the immune landscape, and screen drugs in hepatocellular carcinoma

Identification and validation of a prognostic model of necroptosis-related lncRNAs in hepatocellular carcinoma

Identification and Validation of a Prognostic Prediction Model of m6A Regulator-Related LncRNAs in Hepatocellular Carcinoma

Establishment of an endoplasmic reticulum stress-associated lncRNAs model to predict prognosis and immunological characteristics in hepatocellular carcinoma

A novel recurrence-associated metabolic prognostic model for risk stratification and therapeutic response prediction in patients with stage I lung adenocarcinoma

Identification of a Novel Gene Signature with DDR and EMT Difunctionalities for Predicting Prognosis, Immune Activity, and Drug Response in Breast Cancer

A Prognostic Autophagy-Related Gene Pair Signature and Small-Molecule Drugs for Hepatocellular Carcinoma

Analysis of disulfidptosis‐ and cuproptosis‐related LncRNAs in modulating the immune microenvironment and chemosensitivity in colon adenocarcinoma

Construction and Validation of a Novel Prognosis Model in Colon Cancer Based on Cuproptosis-Related Long Non-Coding RNAs


RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Why We Need New Evaluation Metrics for NLG

Creating Training Corpora for NLG Micro-Planners

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

Semantic Noise Matters for Neural Natural Language Generation

A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks

Conference on Computational Natural Language Learning

Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation

Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems

Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network

Meeting of the Association for Computational Linguistics

Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG

Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems


We release a general framework for prompting LLMs to manipulate software in a closed-loop manner.

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models

SpreadsheetBench: Towards Challenging Real World Spreadsheet
  Manipulation


Bridging Anaphora Resolution as Question Answering

Fine-grained Information Status Classification Using Discourse Context-Aware BERT

End-to-end Neural Information Status Classification


code for paper submission "Bonsai - Diverse and Shallow Trees for ExtremeMulti-label Classification"

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

Probabilistic Label Trees for Extreme Multi-label Classification

A Survey on Extreme Multi-label Learning


NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

NRTSI: Non-Recurrent Time Series Imputation

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation

Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning


Unsupervised Cross-lingual Representation Learning for Speech Recognition

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Unsupervised Speech Recognition

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset


kNN-based next-basket recommendation

A Survey on Session-based Recommender Systems

Modeling Personalized Item Frequency Information for Next-basket Recommendation

A Systematical Evaluation for Next-Basket Recommendation Algorithms

A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation


A learning curve benchmark on OpenML data

Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Explaining Hyperparameter Optimization via Partial Dependence Plots

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Scaling Laws for Hyperparameter Optimization


Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Deep Ensembles: A Loss Landscape Perspective

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Laplace Redux - Effortless Bayesian Deep Learning

Laplace Redux -- Effortless Bayesian Deep Learning


SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd


Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Online Prototype Learning for Online Continual Learning

Overcoming Catastrophic Forgetting by Generative Regularization

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification


MIMICS: A Large-Scale Data Collection for Search Clarification

Generating Clarifying Questions for Information Retrieval

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

User Engagement Prediction for Clarification in Search

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review

Enhanced Facet Generation with LLM Editing


Safe reinforcement learning with stability guarantees

Safe Model-based Reinforcement Learning with Stability Guarantees

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

Verification for Machine Learning, Autonomy, and Neural Networks Survey


This is the code for Negation and Speculation Cue Detection and Scope Resolution using BERT, XLNet and RoBERTa

NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution

Multitask Learning of Negation and Speculation using Transformers

International Workshop on Health Text Mining and Information Analysis

Resolving the Scope of Speculation and Negation using Transformer-Based Architectures


PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

Zero-Shot Text-to-Image Generation

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

BEVT: BERT Pretraining of Video Transformers


High Performance Computing Conjugate Gradients:  The original Mantevo miniapp

Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

International Conference on High Performance Computing

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs

QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing


Multivariate Time-Series Anomaly Detection with GNN.

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection


Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Learning Neural Templates for Text Generation


processing 10x genomics reads

Haplotype-resolved genome assembly provides insights into evolutionary history of the tea plant Camellia sinensis

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Rapid genotype imputation from sequence with reference panels

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

A chromosome-level genome assembly of the woolly apple aphid, Eriosoma lanigerum (Hausmann) (Hemiptera: Aphididae)

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

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

Three new genome assemblies of blue mussel lineages: North and South EuropeanMytilus edulisand MediterraneanMytilus galloprovincialis

Genome ofPhyllanthus emblica: the medicinal plant Amla with super antioxidant properties

Genome sequencing of Syzygium cumini (Jamun) reveals adaptive evolution in secondary metabolism pathways associated with its medicinal properties


Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models

OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms

A LIME-Based Explainable Machine Learning Model for Predicting the Severity Level of COVID-19 Diagnosed Patients


PyTorch implementation of latent space reinforcement learning for E2E dialog published at  NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System


The official implementation of "Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN"

Video Diffusion Models

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Temporal Generative Adversarial Nets with Singular Value Clipping

VideoGPT: Video Generation using VQ-VAE and Transformers

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN

International Journal of Computer Vision

MAGVIT: Masked Generative Video Transformer

Diffusion Models for Video Prediction and Infilling

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models


Bayesian Compression for Natural Language Processing

Bayesian Sparsification of Recurrent Neural Networks

Bayesian Sparsification of Gated Recurrent Neural Networks


Toward Safer Autonomous Vehicles: Occlusion-Aware Trajectory Planning to Minimize Risky Behavior

IEEE Open Journal of Intelligent Transportation Systems

A Reinforcement Learning-Boosted Motion Planning Framework:
  Comprehensive Generalization Performance in Autonomous Driving

FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving

Investigating Driving Interactions: A Robust Multi-Agent Simulation
  Framework for Autonomous Vehicles


Training language models to follow instructions with human feedback

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

Transformer models: an introduction and catalog


Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Pre-trained Gaussian Processes for Bayesian Optimization

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.


WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Optimizing Dense Retrieval Model Training with Hard Negatives

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance


Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation

Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding


Analogical inference for knowledge graph completion

Analogical Inference for Multi-Relational Embeddings

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Improving Knowledge Graph Embedding Using Simple Constraints

On Evaluating Embedding Models for Knowledge Base Completion

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


QTLseqr is an R package for QTL mapping using NGS Bulk Segregant Analysis

QTLseqr: An R package for bulk segregant analysis with next-generation sequencing

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

A graph-based genome and pan-genome variation of the model plant Setaria

Optimizing bulk segregant analysis of drug resistance using Plasmodium falciparum genetic crosses conducted in humanized mice

Genome assembly and resequencing analyses provide new insights into the evolution, domestication and ornamental traits of crape myrtle

BSA-seq Identifies a Major Locus on Chromosome 6 for Root-Knot Nematode (Meloidogyne graminicola) Resistance From Oryza glaberrima


Parsing Reading Predict Network

Compound Probabilistic Context-Free Grammars for Grammar Induction

Generating Sentences from Disentangled Syntactic and Semantic Spaces

Visually Grounded Neural Syntax Acquisition

Grammar Induction with Neural Language Models: An Unusual Replication

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models

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

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)


GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

Transforming Dependency Structures to Logical Forms for Semantic Parsing

Transactions of the Association for Computational Linguistics

Evaluating Induced CCG Parsers on Grounded Semantic Parsing


Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.

Modeling Irregularly Sampled Clinical Time Series


Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement
  Learning with Diverse Human Feedback

Zero-shot Preference Learning for Offline RL via Optimal Transport

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation

Regularized Conditional Diffusion Model for Multi-Task Preference
  Alignment

Listwise Reward Estimation for Offline Preference-based Reinforcement
  Learning


Log-Can: Local-Global Class-Aware Network For Semantic Segmentation of Remote Sensing Images

SACANet: scene-aware class attention network for semantic segmentation of remote sensing images

DOCNet: Dual-Domain Optimized Class-Aware Network for Remote Sensing Image Segmentation

IEEE Geoscience and Remote Sensing Letters

Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation


Content-Based Video-Music Retrieval using Soft Intra-Modal Structure Constraint

CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint

International Conference on Multimedia Retrieval

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Video-to-Music Recommendation Using Temporal Alignment of Segments


Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks


Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"

Personalizing Dialogue Agents: I have a dog, do you have pets too?

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

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

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7

MVP: Multi-task Supervised Pre-training for Natural Language Generation


Finding Tiny Faces in PyTorch

Hypercolumns for Object Segmentation and Fine-grained Localization

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

IEEE transactions on pattern analysis and machine intelligence

Learning Independent Instance Maps for Crowd Localization

Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer

How important are faces for person re-identification?

Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


A question answering corpus in insurance domain

Applying Deep Learning to Answer Selection: A Study and An Open Task

Automatic Question-Answering Using A Deep Similarity Neural Network

BanditRank: Learning to Rank Using Contextual Bandits

Bayesian Optimization for Selecting Efficient Machine Learning Models


Multi-Resolution Filtering: a method for isolating faint, extended emission in Dragonfly data and other low resolution images

Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey

The Astrophysical Journal Supplement Series

The Dragonfly Wide Field Survey. I. Telescope, Survey Design, and Data Characterization

Multi-resolution Filtering: An Empirical Method for Isolating Faint, Extended Emission in Dragonfly Data and Other Low Resolution Images

Publications of the Astronomical Society of the Pacific

Reaching for the Edge I: probing the outskirts of massive galaxies with HSC, DECaLS, SDSS, and Dragonfly

Stellar Halos from the The Dragonfly Edge-on Galaxies Survey

A Method to Characterize the Wide-angle Point-Spread Function of Astronomical Images

The Dragonfly Wide Field Survey. II. Accurate Total Luminosities and Colors of Nearby Massive Galaxies and Implications for the Galaxy Stellar-mass Function


GEAR [GEnetic Analysis Repository], contact chenguobo@gmail.com;

Genomic associations with bill length and disease reveal drift and selection across island bird populations

Characterization of Genetic Diversity and Genome-Wide Association Mapping of Three Agronomic Traits in Qingke Barley (Hordeum Vulgare L.) in the Qinghai-Tibet Plateau

Reproduction and In-Depth Evaluation of Genome-Wide Association Studies and Genome-Wide Meta-analyses Using Summary Statistics

Genetic Diversity and Selection Signatures in Synthetic-Derived Wheats and Modern Spring Wheat


This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Achieving Equalized Odds by Resampling Sensitive Attributes

Fair Adversarial Gradient Tree Boosting

Bayesian Importance of Features (BIF)


End-to-End Speech Recognition Using Tensorflow

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Listen, Attend and Spell

On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English


Experiments on unsupervised point cloud reconstruction.

FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

PyUUL provides an interface between biological structures and deep learning algorithms

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods.

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)


Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Brain tumor segmentation with Deep Neural Networks

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

Deep segmentation networks predict survival of non-small cell lung cancer


MoEL: Mixture of Empathetic Listeners

MoEL: Mixture of Empathetic Listeners

EmpHi: Generating Empathetic Responses with Human-like Intents

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


WiFi-based activity recognition dataset

Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions

IEEE Communications Surveys and Tutorials

Critical Analysis of Data Leakage in WiFi CSI-Based Human Action Recognition Using CNNs


LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Learning from Few Samples: A Survey


Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Deep Independently Recurrent Neural Network (IndRNN)

A Chain Graph Interpretation of Real-World Neural Networks

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm


This is a Pytorch implementation of GraphLIME

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Explainable AI Methods - A Brief Overview

Survey of Explainable AI Techniques in Healthcare

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


Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

Quantitatively Evaluating GANs With Divergences Proposed for Training

Co-Generation with GANs using AIS based HMC


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

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


PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Federated Learning with Non-IID Data

Fair detection of poisoning attacks in federated learning on non-i.i.d. data


Randomly subsample sequencing reads or alignments

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes

Rasusa: Randomly subsample sequencing reads to a specified coverage

A complete high-quality MinION nanopore assembly of an extensively drug-resistant Mycobacterium tuberculosis Beijing lineage strain identifies novel variation in repetitive PE/PPE gene regions

Optimized use of Oxford Nanopore flowcells for hybrid assemblies

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

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

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Automated antimicrobial susceptibility testing and antimicrobial resistance genotyping using Illumina and Oxford Nanopore Technologies sequencing data among Enterobacteriaceae

Bactabolize: A tool for high-throughput generation of bacterial strain-specific metabolic models


AI based fuzzer based on imitation learning

Smart Contract Vulnerability Detection Technique: A Survey

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


making synthetic spectra from libraries

The Gaia DR2 parallax zero-point: hierarchical modelling of red clump stars

Monthly notices of the Royal Astronomical Society

A Panchromatic Study of Massive Stars in the Extremely Metal-poor Local Group Dwarf Galaxy Leo A

High mass function ellipsoidal variables in the Gaia Focused Product Release: searching for black hole candidates in the binary zoo

A hidden population of massive white dwarfs: two spotted K+WD binaries


Flexible Bayesian inference of mutational signatures

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Increased somatic mutation burdens in normal human cells due to defective DNA polymerases

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Somatic evolution and global expansion of an ancient transmissible cancer lineage

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

Inherited MUTYH mutations cause elevated somatic mutation rates and distinctive mutational signatures in normal human cells

Mutational landscape of normal epithelial cells in Lynch Syndrome patients

Clonal origin of KMT2A wild-type lineage-switch leukemia following CAR-T cell and blinatumomab therapy

A comprehensive comparison of tools for fitting mutational signatures


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


TGS scaffolding

LRScaf: improving draft genomes using long noisy reads

A Candidate Gene Cluster for the Bioactive Natural Product Gyrophoric Acid in Lichen-Forming Fungi

Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens

Three new genome assemblies of blue mussel lineages: North and South EuropeanMytilus edulisand MediterraneanMytilus galloprovincialis


Code and Data for ICLR2021 Paper "Open Question Answering over Tables and Text"

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

Equipping Language Models with Tool Use Capability for Tabular Data
  Analysis in Finance


SAASBO: a package for high-dimensional bayesian optimization

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB


DETR - Faster RCNN implementation in tensorflow 2

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Mask R-CNN

Feature Pyramid Networks for Object Detection

End-to-End Object Detection with Transformers

Fast Convergence of DETR with Spatially Modulated Co-Attention


Interpretable Neural Predictions with Differentiable Binary Variables

Understanding Interlocking Dynamics of Cooperative Rationalization

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Rationalizing predictions by adversarial information calibration


Implementation of the Off Belief Learning algorithm.

Improving Policies via Search in Cooperative Partially Observable Games

Off-Belief Learning

Scalable Online Planning via Reinforcement Learning Fine-Tuning


python wrapper for MOOG. All plots are handled with matplotlib.

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. I. NGC 3201

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. II. ω Centauri

A new and Homogeneous metallicity scale for Galactic classical Cepheids

Stellar Population Astrophysics (SPA) with TNG Atmospheric parameters of members of 16 unstudied open clusters

Planet engulfment detections are rare according to observations and stellar modelling

Oxygen, sulfur, and iron radial abundance gradients of classical Cepheids across the Galactic thin disk

Lithium abundances as a tracer of asymptotic giant branch star pollution in the globular cluster NGC 6752

Searching For Transiting Planets Around Halo Stars. I. Sample Selection and Validation

Fresh view of the hot brown dwarf HD 984 B through high-resolution spectroscopy

The GALAH survey: tracing the Milky Way's formation and evolution through RR Lyrae stars


Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

AI applications in forest monitoring need remote sensing benchmark datasets

Training Data for the NeonTreeEvaluation Benchmark

Zenodo (CERN European Organization for Nuclear Research)


Finite element methods for electronic structure calculations on small systems

A review on non‐relativistic, fully numerical electronic structure calculations on atoms and diatomic molecules

International Journal of Quantum Chemistry

Fully numerical Hartree‐Fock and density functional calculations. I. Atoms

Fully numerical Hartree‐Fock and density functional calculations. II. Diatomic molecules

Fully numerical electronic structure calculations on diatomic molecules in weak to strong magnetic fields

Meta-GGA Density Functional Calculations on Atoms with Spherically Symmetric Densities in the Finite Element Formalism

Atomic Electronic Structure Calculations with Hermite Interpolating Polynomials


Functions for compositional analysis of high throughput sequencing

Fungal community assembly in drought-stressed sorghum shows stochasticity, selection, and universal ecological dynamics

Strong succession in arbuscular mycorrhizal fungal communities

A Haemophilus sp. dominates the microbiota of sputum from UK adults with non-severe community acquired pneumonia and chronic lung disease

Diverse Viruses in Deep-Sea Hydrothermal Vent Fluids Have Restricted Dispersal across Ocean Basins

A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets

Processing human urine and ureteral stents for 16S rRNA amplicon sequencing


Creative Commons Attribution Share Alike 4.0 International

A collection of literature on the use of computational intelligence methods in sports

Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units

Planning the sports training sessions with the bat algorithm

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Application of Internet of Things and artificial intelligence for smart fitness: A survey

Computational intelligence in sports: Challenges and opportunities within a new research domain

Artificial intelligence for team sports: a survey

Computational Intelligence in Sports

Robust Sports Image Classification Using InceptionV3 and Neural Networks

Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists

Data Mining in Sports: A Systematic Review


WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

WaNet -- Imperceptible Warping-based Backdoor Attack

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion


Repository for Doctor AI project

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Inferring multimodal latent topics from electronic health records

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction


The repo contains our code of ``Semantic Mask for Transformer based End-to-End Speech Recognition"

Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer

Ultra Fast Speech Separation Model with Teacher Student Learning

SpliceOut: A Simple and Efficient Audio Augmentation Method


A command-line toolkit to extract text content and category data from Wikipedia dump files

Learning to Distinguish Hypernyms and Co-Hyponyms

International Conference on Computational Linguistics

A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations

Meeting of the Association for Computational Linguistics

Analyzing Semantic Change in Japanese Loanwords

Conference of the European Chapter of the Association for Computational Linguistics

Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?

UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

North American Chapter of the Association for Computational Linguistics

Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs

Conference on Computational Natural Language Learning

Evaluating Sub-word Embeddings in Cross-lingual Models

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

Analysis of Japanese Word Sense Disambiguation through Kana-Kanji Conversion

Effective Augmentation of Creativity-Involving Productivity Consequent to Spontaneous Selectivity in Knowledge Acquisition


A coreference evaluation package for the CoNLL and ARRAU datasets

Visual Semantic Role Labeling for Video Understanding

SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution

Coreference Resolution for the Biomedical Domain: A Survey

Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection

The Universal Anaphora Scorer

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


A python package that decompose the light into PSF and Sersic, fitting based on lenstronomy

Early results from GLASS-JWST. V: the first rest-frame optical size-luminosity relation of galaxies at z   gt;7

New insight on the nature of cosmic reionizers from the CEERS survey

Peering into cosmic reionization: Ly alpha visibility evolution from galaxies at z = 4.5 - 8.5 with JWST

A Rest-frame Near-IR Study of Clumps in Galaxies at 1 < z < 2 Using JWST/NIRCam: Connection to Galaxy Bulges

Galaxy shapes of Light (GaLight): a 2D modeling of galaxy images


[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

LFTK: Handcrafted Features in Computational Linguistics

Linguistic Properties of Truthful Response

Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?


The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

Subsampling for Knowledge Graph Embedding Explained


Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Active Learning Through a Covering Lens

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling


Gene set scoring for single-cell data

UCell: Robust and scalable single-cell gene signature scoring

Cancer cell plasticity and MHC-II–mediated immune tolerance promote breast cancer metastasis to lymph nodes

Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients

Transcriptome network analysis implicates CX3CR1-positive type 3 dendritic cells in non-infectious uveitis


An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

Superpixels: An evaluation of the state-of-the-art

Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets

Saliency-guided Adaptive Seeding for Supervoxel Segmentation

Rooted Spanning Superpixels

International Journal of Computer Vision

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation

An Efficient Hybrid Linear Clustering Superpixel Decomposition Framework for Traffic Scene Semantic Segmentation

Bilateral K-Means for Superpixel Computation (the SLIC Method)


A unified framework for recommender system attacking

Stealthy Attack on Large Language Model based Recommendation

RecAD: Towards A Unified Library for Recommender Attack and Defense

Poisoning Attacks and Defenses in Recommender Systems: A Survey


code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

Benchmarking Domain Adaptation Methods on Aerial Datasets

Robust self-supervised learning for source-free domain adaptation


Yet another symmetric tensor network

Incommensurate order with translationally invariant projected entangled-pair states: Spiral states and quantum spin liquid on the anisotropic triangular lattice

Efficient representation of minimally entangled typical thermal states in two dimensions via projected entangled pair states

YASTN: Yet another symmetric tensor networks; A Python library for
  abelian symmetric tensor network calculations


Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond

Millimeter-Wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation


Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)

AraBERT: Transformer-based Model for Arabic Language Understanding

AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Pre-training Polish Transformer-based Language Models at Scale

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

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media

Improving Arabic Diacritization with Regularized Decoding and Adversarial Training

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification

Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages

JABER and SABER: Junior and Senior Arabic BERt


FastPay: High-Performance Byzantine Fault Tolerant Settlement

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Zef: Low-latency, Scalable, Private Payments


Optimal identification of H ii regions during reionization in 21-cm observations

Neutral island statistics during reionization from 21-cm tomography

Machine learning astrophysics from 21 cm lightcones: impact of network architectures and signal contamination

Monthly Notices of the Royal Astronomical Society

Tools21cm: A python package to analyse the large-scale 21-cm signal from the Epoch of Reionization and Cosmic Dawn

Inferring the properties of the sources of reionization using the morphological spectra of the ionized regions

The impact of inhomogeneous subgrid clumping on cosmic reionization – II. Modelling stochasticity

The large-scale 21-cm power spectrum from reionization

Exploring the likelihood of the 21-cm power spectrum with simulation-based inference

PINION: Physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization

pyC^2Ray: A flexible and GPU-accelerated Radiative Transfer Framework for Simulating the Cosmic Epoch of Reionization


Chinese Language Generation Evaluation 中文生成任务基准测评

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation

TextBox 2.0: A Text Generation Library with Pre-trained Language Models


Question answering dataset featured in "Teaching Machines to Read and Comprehend

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Gated-Attention Readers for Text Comprehension

Text Understanding with the Attention Sum Reader Network

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Distraction-Based Neural Networks for Document Summarization

Iterative Alternating Neural Attention for Machine Reading

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

A Survey of Automatic Text Summarization: Progress, Process and Challenges


The PyTorch Implementation of SummaRuNNer

Summarizing Medical Conversations via Identifying Important Utterances

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries

Dialect Diversity in Text Summarization on Twitter

Summaformers @ LaySumm 20, LongSumm 20

Empirical Methods in Natural Language Processing

Applicability of large language models and generative models for legal case judgement summarization

IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation

Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments


Tools for finite state automata construction and dictionary-based morphological dictionaries. Includes Polish stemming dictionary.

IXA pipeline: Efficient and Ready to Use Multilingual NLP tools

Combining neural and knowledge-based approaches to Named Entity Recognition in Polish

Multilingual, Efficient and Easy NLP Processing with IXA Pipeline


This repository contains code and metadata of How2 dataset

How2: A Large-scale Dataset for Multimodal Language Understanding

Multimodal Grounding for Sequence-to-Sequence Speech Recognition

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Challenges with Sign Language Datasets for Sign Language Recognition and Translation

On Leveraging the Visual Modality for Neural Machine Translation

Predicting Actions to Help Predict Translations

BASS: Block-wise Adaptation for Speech Summarization


Configuration Space Covariances for Projected Galaxy 2-Point Statistics

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

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

Cosmology from Clustering, Cosmic Shear, CMB Lensing, and Cross Correlations: Combining Rubin Observatory and Simons Observatory

ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data

Modeling intrinsic galaxy alignment in the MICE simulation

Accelerating cosmological inference with Gaussian processes and neural networks – an application to LSST Y1 weak lensing and galaxy clustering

A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey

Galaxy clustering in harmonic space from the dark energy survey year 1 data: compatibility with real-space results

Euclid: Covariance of weak lensing pseudo-Cℓ estimates

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST