Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM
  Finetuning

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained
  Language Model for Knowledge Editing and Fine-tuning


MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multilingual models from Aleph Alpha check out our website https://app.aleph-alpha.com

MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories

Aligning MAGMA by Few-Shot Learning and Finetuning

Towards ethical multimodal systems


A surrogate benchmark for neural architecture search

How Powerful are Performance Predictors in Neural Architecture Search?

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

Speedy Performance Estimation for Neural Architecture Search

NAS-Bench-x11 and the Power of Learning Curves

On Redundancy and Diversity in Cell-based Neural Architecture Search

Approximate Neural Architecture Search via Operation Distribution Learning


Clustering scRNAseq by genotypes

Spatial multiomics map of trophoblast development in early pregnancy

Yolk sac cell atlas reveals multiorgan functions during human early development

Integrated single-cell multiomics uncovers foundational regulatory mechanisms of lens development and pathology

bioRxiv : the preprint server for biology

Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

hadge: a comprehensive pipeline for donor deconvolution in single cell


Repository for TweetEval

BERTweet: A pre-trained language model for English Tweets

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

TimeLMs: Diachronic Language Models from Twitter

A Holistic Approach to Undesired Content Detection in the Real World

Multilingual Detection of Personal Employment Status on Twitter

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

A curated dataset for hate speech detection on social media text

A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models

STTA: enhanced text classification via selective test-time augmentation

NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis

SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding

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


A python library for robot learning - An extension to PyRobot

ConceptFusion: Open-set Multimodal 3D Mapping

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects

Lifelong Robot Learning with Human Assisted Language Planners

TactoFind: A Tactile Only System for Object Retrieval


Netflux is a user-friendly software for developing dynamic computational models of biological networks. Models are created in Excel format and then simulated using the Netflux graphical interface. No computer programming is required. Netflux is written in MATLAB, with binary versions available for Windows and MacOS.

Predictive model identifies key network regulators of cardiomyocyte mechano-signaling

Network Analysis Reveals a Distinct Axis of Macrophage Activation in Response to Conflicting Inflammatory Cues

Roles of mTOR in thoracic aortopathy understood by complex intracellular signaling interactions

Multiscale model of heart growth during pregnancy: integrating mechanical and hormonal signaling

Vascular smooth muscle cell mechanotransduction through serum and glucocorticoid inducible kinase-1 promotes interleukin-6 production and macrophage accumulation in murine hypertension

Computational Screen for Sex-Specific Drug Effects in a Cardiac Fibroblast Network Model

Logic-based modeling of biological networks with Netflux


MELT - Matching EvaLuation Toolkit

MELT - Matching EvaLuation Toolkit

OLaLa: Ontology Matching with Large Language Models

Proceedings of the 12th Knowledge Capture Conference 2023

Visual Analysis of Ontology Matching Results with the MELT Dashboard

Supervised Ontology and Instance Matching with MELT

Matching with Transformers in MELT

Background Knowledge in Schema Matching: Strategy vs. Data

Order Matters: Matching Multiple Knowledge Graphs

PROCEEDINGS OF THE 11TH KNOWLEDGE CAPTURE CONFERENCE (K-CAP '21)

FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs

KERMIT - A Transformer-Based Approach for Knowledge Graph Matching


BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results

Evolving BioAssay Ontology (BAO): modularization, integration and applications

Formalization, Annotation and Analysis of Diverse Drug and Probe Screening Assay Datasets Using the BioAssay Ontology (BAO)

ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph


Iterative Linear-Quadratic Games!

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games

iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia

Open-Loop and Feedback Nash Trajectories for Competitive Racing with
  iLQGames

A Preview of Open-Loop and Feedback Nash Trajectories in Racing Scenarios


Modular Analysis and Reconstruction for the LINear Collider

Towards a Muon Collider

Simulated Detector Performance at the Muon Collider

Searching for Majorana neutrinos at a same-sign muon collider

Experimentation at a muon collider

Status of ILD new 250 GeV common MC sample production.

Prospects for the Measurement of the Standard Model Higgs Pair Production at the Muon Colliders

The mini-DST: a high-level LCIO format


A tool that allows to get UMI counts from a single cell protein assay

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

Identification of Required Host Factors for SARS-CoV-2 Infection in Human Cells

An immune-cell signature of bacterial sepsis

Dynamics of the 4D genome during in vivo lineage specification and differentiation

A modified vaccinia Ankara vector-based vaccine protects macaques from SARS-CoV-2 infection, immune pathology, and dysfunction in the lungs

Single cell transcriptomics reveals opioid usage evokes widespread suppression of antiviral gene program

MYC deficiency impairs the development of effector/memory T lymphocytes

Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewal

Dissection of the 4D chromatin structure of the α-globin locus through in vivo erythroid differentiation with extreme spatial and temporal resolution

Defective LAT signalosome pathology in mice mimics human IgG4-related disease at single-cell level


Improved polygenic prediction by Bayesian multiple regression on summary statistics

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

Genetic diversity fuels gene discovery for tobacco and alcohol use

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Deep neural network improves the estimation of polygenic risk scores for breast cancer

Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women

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

Thirty novel sequence variants impacting human intracranial volume


RM-synthesis, RM-clean and QU-fitting on polarised radio spectra

CHIME/FRB Discovery of Eight New Repeating Fast Radio Burst Sources

Nine New Repeating Fast Radio Burst Sources from CHIME/FRB

LOFAR Detection of 110-188 MHz Emission and Frequency-dependent Activity from FRB 20180916B

Rotation Measure Evolution of the Repeating Fast Radio Burst Source FRB 121102

Detection of Repeating FRB 180916.J0158+65 Down to Frequencies of 300 MHz

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

Monthly Notices of the Royal Astronomical Society

Dissecting nonthermal emission in the complex multiple-merger galaxy cluster Abell 2744: Radio and X-ray analysis

A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B

Strong Excess Faraday Rotation on the Inside of the Sagittarius Spiral Arm


Tools for mapping stars and planets.

starry: Analytic Occultation Light Curves

Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening

The Young Planet DS Tuc Ab Has a Low Obliquity

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b

Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source Doppler Imaging Model

Analytic Light Curves in Reflected Light: Phase Curves, Occultations, and Non-Lambertian Scattering for Spherical Planets and Moons

Efficient and Precise Transit Light Curves for Rapidly Rotating, Oblate Stars

TESS Photometric Mapping of a Terrestrial Planet in the Habitable Zone: Detection of Clouds, Oceans, and Continents


This is a github repository of the abandonware Sequitur G2P by Bisani & Ney

Joint Approach to Deromanization of Code-mixed Texts

Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech

VietMed: A Dataset and Benchmark for Automatic Speech Recognition of
  Vietnamese in the Medical Domain

Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project

A Multi-Orthography Parallel Corpus of Yiddish Nouns

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


Embedded finite element methods in Julia

Robust high-order unfitted finite elements by interpolation-based discrete extension

Geometrical discretisations for unfitted finite elements on explicit boundary representations

Space-time unfitted finite element methods for time-dependent problems on moving domains

Conditioning of a Hybrid High-Order Scheme on Meshes with Small Faces

Cut finite element discretizations of cell-by-cell EMI electrophysiology models

High order unfitted finite element discretizations for explicit boundary representations


Extract 3D contacts (.pairs) from sequencing alignments

Targeting SWI/SNF ATPases in enhancer-addicted prostate cancer

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

Dynamic reorganization of the genome shapes the recombination landscape in meiotic prophase

Pairtools: From sequencing data to chromosome contacts

Genome-wide colocalization of RNA–DNA interactions and fusion RNA pairs

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

Order and stochasticity in the folding of individual Drosophila genomes

In vivo dissection of a clustered-CTCF domain boundary reveals developmental principles of regulatory insulation

Diverse silent chromatin states modulate genome compartmentalization and loop extrusion barriers

The genome-wide multi-layered architecture of chromosome pairing in early Drosophila embryos


Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data

Flexible and cost-effective genomic surveillance ofP. falciparummalaria with targeted nanopore sequencing

Evaluation of the Available Variant Calling Tools for Oxford Nanopore Sequencing in Breast Cancer

Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis


Julia Library for Interatomic Potentials

Efficient implementation of atom-density representations

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

A Theoretical Case Study of the Generalisation of Machine-learned Potentials

Convergence of the Discrete Minimum Energy Path

Surrogate Models for Vibrational Entropy Based on a Spatial
  Decomposition


Scaling Vision Transformers to 22 Billion Parameters

Revisiting the Calibration of Modern Neural Networks

Plex: Towards Reliability using Pretrained Large Model Extensions

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning

Compressive Visual Representations

Diversity and Generalization in Neural Network Ensembles

Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient

A Note on "Assessing Generalization of SGD via Disagreement"

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification

Three Towers: Flexible Contrastive Learning with Pretrained Image Models


[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

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

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

Mastering Atari Games with Limited Data

Learning and Planning in Complex Action Spaces

Planning in Stochastic Environments with a Learned Model

International Conference on Learning Representations

Policy improvement by planning with Gumbel

ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search


BSD 4-Clause "Original" or "Old" License

odML libraries

Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task

Data management routines for reproducible research using the G-Node Python Client library


The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

Evaluating the Potential Contribution of District Heating to the Flexibility of the Future Italian Power System


Metric learning and retrieval pipelines, models and zoo.

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

Learning Transferable Visual Models From Natural Language Supervision

Emerging Properties in Self-Supervised Vision Transformers

In Defense of the Triplet Loss for Person Re-Identification

Improved Baselines with Momentum Contrastive Learning

DINOv2: Learning Robust Visual Features without Supervision

Cross-Batch Memory for Embedding Learning

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Unicom: Universal and Compact Representation Learning for Image Retrieval

RuCLIP -- new models and experiments: a technical report


Extract data quickly from Juicebox via straw

Single-cell multi-omics in the medicinal plant Catharanthus roseus

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Hybridization-proximity labeling reveals spatially ordered interactions of nuclear RNA compartments


Linux kernel source tree

SEVurity: No Security Without Integrity : Breaking Integrity-Free Memory Encryption with Minimal Assumptions

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP


This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network

DOPE: Distributed Optimization for Pairwise Energies


openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit

Face mask recognition from audio: The MASC database and an overview on the mask challenge

Classification of Speech with and without Face Mask using Acoustic Features

Nkululeko: A Tool For Rapid Speaker Characteristics Detection

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Happy or Evil Laughter? Analysing a Database of Natural Audio Samples


Experiments for the Neural Autoregressive Flows paper

Neural Autoregressive Flows

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

Leveraging exploration in off-policy algorithms via normalizing flows

Variation Network: Learning High-level Attributes for Controlled Input Manipulation


Kindling the Darkness: A Practical Low-light Image Enhancer

Beyond Brightening Low-light Images

International Journal of Computer Vision

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

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

Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement

Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

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

Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs

Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping


OVAL framework for BaB-based Neural Network Verification

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Harnessing Neuron Stability to Improve DNN Verification

A DPLL(T) Framework for Verifying Deep Neural Networks


Generalized SEIR Epidemic Model (fitting and computation)

Epidemic analysis of COVID-19 in China by dynamical modeling

The role of seasonality in the spread of COVID-19 pandemic

A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

Forecast analysis of the epidemics trend of COVID-19 in the United States by a generalized fractional-order SEIR model

Global sensitivity analysis in epidemiological modeling

European journal of operational research

Implication of repatriating migrant workers on COVID-19 spread and transportation requirements

The impact of crowd gatherings on the spread of COVID-19

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic

Real-Time Differential Epidemic Analysis and Prediction for COVID-19 Pandemic


Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

A Primer on the Signature Method in Machine Learning

Deep Signature Transforms

Neural Rough Differential Equations for Long Time Series

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU

Sig-SDEs model for quantitative finance

Efficient and Accurate Gradients for Neural SDEs

Neural Controlled Differential Equations for Online Prediction Tasks

Generalised Interpretable Shapelets for Irregular Time Series

Path Signature Area-Based Causal Discovery in Coupled Time Series

Signature Trading: A Path-Dependent Extension of the Mean-Variance Framework with Exogenous Signals


Weakly Supervised Deep Detection Networks (CVPR 2016)

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Exploiting Web Images for Weakly Supervised Object Detection


Simulator and datasets to research on carbon-aware temporal workload shifting.

Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud


Fully featured implementation of Routing Transformer

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

GLU Variants Improve Transformer

Efficient Content-Based Sparse Attention with Routing Transformers

ReZero is All You Need: Fast Convergence at Large Depth

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer


Bayesian hierarchical model for complex trait analysis

Improved polygenic prediction by Bayesian multiple regression on summary statistics

A Gene-Set Enrichment and Protein–Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle

Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method

Functional Partitioning of Genomic Variance and Genome-Wide Association Study for Carcass Traits in Korean Hanwoo Cattle Using Imputed Sequence Level SNP Data

An evaluation of the predictive performance and mapping power of the BayesR model for genomic prediction

Accuracies of genomic predictions for disease resistance of striped catfish to Edwardsiella ictaluri using artificial intelligence algorithms

SLEMM: million-scale genomic predictions with window-based SNP weighting

An Integrative Genomic Prediction Approach for Predicting Buffalo Milk Traits by Incorporating Related Cattle QTLs


Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation

Real-time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction


Demo code for the paper STC2 which released three short text datasets for clustering and classification

Self-Taught Convolutional Neural Networks for Short Text Clustering

Neural networks : the official journal of the International Neural Network Society

Short Text Clustering via Convolutional Neural Networks

North American Chapter of the Association for Computational Linguistics

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Short Text Embedding Autoencoders With Attention-Based Neighborhood Preservation

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


This is the official code repository for NumNet+(https://leaderboard.allenai.org/drop/submission/blu418v76glsbnh1qvd0)

Question Directed Graph Attention Network for Numerical Reasoning over Text

A Simple and Effective Model for Answering Multi-span Questions

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

ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler

EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension


Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Meta-learning for Few-shot Natural Language Processing: A Survey

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning

Adversarial Self-Supervised Learning for Out-of-Domain Detection

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes

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

Energy-based Unknown Intent Detection with Data Manipulation

ODIST: Open World Classification via Distributionally Shifted Instances

Findings of the Association for Computational Linguistics: EMNLP 2021

A Neural Few-Shot Text Classification Reality Check

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation


Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

TWEETQA: A Social Media Focused Question Answering Dataset

R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering


list of brain networks ready to be downloaded for your brainhacking pleasure

BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

Whole-animal connectomes of both Caenorhabditis elegans sexes

Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication

Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

A Functional Cartography of Cognitive Systems

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

High-resolution data-driven model of the mouse connectome

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome

A macaque connectome for large-scale network simulations in TheVirtualBrain

A whole-cortex probabilistic diffusion tractography connectome


An OpenFOAM solver  for Boltzmann model equation using discrete unified gas kinetic scheme

Discrete unified gas kinetic scheme for all Knudsen number flows: Low-speed isothermal case

Physical review. E, Statistical, nonlinear, and soft matter physics

Discrete unified gas kinetic scheme for all Knudsen number flows. II. Thermal compressible case.

Radiometric flow in periodically patterned channels: fluid physics and improved configurations

A unified implicit scheme for kinetic model equations. Part I. Memory reduction technique

Numerical study of nonequilibrium gas flow in a microchannel with a ratchet surface


OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Scribble-Supervised LiDAR Semantic Segmentation

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects  (ICCV 2019) [Python & Matlab].

What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

Deep White-Balance Editing

Image color correction, enhancement, and editing


Understanding the Difficulty of Training Transformers

Very Deep Transformers for Neural Machine Translation

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

B2T Connection: Serving Stability and Performance in Deep Transformers

Born for Auto-Tagging: Faster and better with new objective functions


Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920

Improving Entity Linking by Modeling Latent Relations between Mentions

Neural Entity Linking: A Survey of Models Based on Deep Learning

Improving Entity Linking by Modeling Latent Entity Type Information

Boosting Entity Linking Performance by Leveraging Unlabeled Documents

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation

Linking Named Entities across Languages using Multilingual Word Embeddings

Zenodo (CERN European Organization for Nuclear Research)


Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

Normalizing Flows for Human Pose Anomaly Detection

Anonymization for Skeleton Action Recognition

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition


Library to implement graph neural networks in PyTorch

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

Graphon Neural Networks and the Transferability of Graph Neural Networks

EdgeNets:Edge Varying Graph Neural Networks

Deep Representations for Time-varying Brain Datasets

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

GraphSAINT: Graph Sampling Based Inductive Learning Method

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Node Dependent Local Smoothing for Scalable Graph Learning

Bandit Samplers for Training Graph Neural Networks

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

Dimensional Reweighting Graph Convolutional Networks


A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

Deep Learning on Graphs: A Survey

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Adversarial Classifier for Imbalanced Problems

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs


Pytorch implementation of set transformer

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Hyperbolic Neural Networks++

On The Adversarial Robustness of 3D Point Cloud Classification

On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks

Regularizing Towards Permutation Invariance in Recurrent Models

Adversarial Permutation Guided Node Representations for Link Prediction

Learning to Pool in Graph Neural Networks for Extrapolation


A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

A Modern Primer on Processing in Memory

Near-Memory Computing: Past, Present, and Future

WoLFRaM: Enhancing Wear-Leveling and Fault Tolerance in Resistive Memories using Programmable Address Decoders

NMPO: Near-Memory Computing Profiling and Offloading

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


stackr: an R package to run stacks software pipeline

Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation

Salmonid chromosome evolution as revealed by a novel method for comparing RADseq linkage maps

Supplementation stocking of Lake Trout (Salvelinus namaycush) in small boreal lakes: Ecotypes influence on growth and condition

Conservation genetics of the eastern yellow-bellied racer (Coluber constrictor flaviventris) and bullsnake (Pituophis catenifer sayi): River valleys are critical features for snakes at northern range limits

Associative Overdominance and Negative Epistasis Shape Genome-Wide Ancestry Landscape in Supplemented Fish Populations


Coroutine-Oriented Main-Memory Database Engine (VLDB 2021)

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Efficiently making (almost) any concurrency control mechanism serializable

CoroBase: Coroutine-Oriented Main-Memory Database Engine


CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

Pluripotency and the origin of animal multicellularity

Systematic comparative analysis of single cell RNA-sequencing methods

Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells

Characterizing smoking-induced transcriptional heterogeneity in the human bronchial epithelium at single-cell resolution

WDR5, BRCA1, and BARD1 Co-regulate the DNA Damage Response and Modulate the Mesenchymal-to-Epithelial Transition during Early Reprogramming

Infection by the Parasite Myxobolus bejeranoi (Cnidaria: Myxozoa) Suppresses the Immune System of Hybrid Tilapia

Gene regulatory patterning codes in early cell fate specification of the C. elegans embryo

Interdependent photo- and chemosensory systems regulate larval settlement in a marine sponge


harmonization, liftover, and imputation of summary statistics from GWAS

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Population-Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate

Genetically regulated gene expression underlies lipid traits in Hispanic cohorts

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance


RFMIX - Local Ancestry and Admixture Inference Version 2

Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

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

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

The genetic history of Greenlandic-European contact

Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics

Genome-wide variation in the Angolan Namib Desert reveals unique pre-Bantu ancestry

Analytical protocol to identify local ancestry-associated molecular features in cancer

Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci


Metapackage for brightway2 imports and documentation


CLASP - Contrastive Language-Aminoacid Sequence Pretraining

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Post-hoc Concept Bottleneck Models

Diagnosing and Rectifying Vision Models using Language


A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Enhanced LSTM for Natural Language Inference

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

Annotation Artifacts in Natural Language Inference Data

OCNLI: Original Chinese Natural Language Inference

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

Semantic Matching Against a Corpus: New Applications and Methods


Learning human driver models from NGSIM data with imitation learning.

Generative Adversarial Imitation Learning

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

Multi-Agent Imitation Learning for Driving Simulation

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning

Online Parameter Estimation for Human Driver Behavior Prediction

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering


De-trending of K2 Light curves

EVEREST: Pixel Level Decorrelation of K2 Light curves

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

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

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

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

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

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

Monthly Notices of the Royal Astronomical Society


k-mer based assembly evaluation

Towards complete and error-free genome assemblies of all vertebrate species

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

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

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

bioRxiv : the preprint server for biology

Evaluating long-read de novo assembly tools for eukaryotic genomes: insights and considerations

Chromosome-Scale, Haplotype-Resolved Genome Assembly of Non-Sex-Reversal Females of Swamp Eel Using High-Fidelity Long Reads and Hi-C Data

Characterization of O-methyltransferases in the biosynthesis of phenylphenalenone phytoalexins based on the telomere-to-telomere gapless genome of Musella lasiocarpa

Chromosome-Level Genome Assembly and Multi-Omics Dataset Provide Insights into Isoflavone and Puerarin Biosynthesis in Pueraria lobata (Wild.) Ohwi


Stanford Open Information Extraction made simple!

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

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

HalluVault: A Novel Logic Programming-aided Metamorphic Testing
  Framework for Detecting Fact-Conflicting Hallucinations in Large Language
  Models

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering

Proceedings of the 25th Conference on Computational Natural Language Learning


Creative Commons Attribution 4.0 International

Primer schemes for real-time genome epidemiology

Two-component spike nanoparticle vaccine protects macaques from SARS-CoV-2 infection

Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol

COVA1-18 neutralizing antibody protects against SARS-CoV-2 in three preclinical models

Detection and Characterisation of SARS-CoV-2 in Eastern Province of Zambia: A Retrospective Genomic Surveillance Study

International Journal of Molecular Sciences

Wastewater Surveillance of SARS-CoV-2 in Zambia: An Early Warning Tool


IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

Scalable 3D Captioning with Pretrained Models

Visual Programming for Text-to-Image Generation and Evaluation

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion

A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions

The Male CEO and the Female Assistant: Gender Biases in Text-To-Image Generation of Dual Subjects

Getting it Right: Improving Spatial Consistency in Text-to-Image Models


MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus

Infrastructure for Semantic Annotation in the Genomics Domain

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


a Lightweight library for sequential learning agents, including reinforcement learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Building a Subspace of Policies for Scalable Continual Learning

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching

Learning a subspace of policies for online adaptation in Reinforcement Learning

SaLinA: Sequential Learning of Agents


Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Metagenomics next-generation sequencing tests take the stage in the diagnosis of lower respiratory tract infections

Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model

Much ado about nothing? Off-target amplification can lead to false-positive bacterial brain microbiome detection in healthy and Parkinson’s disease individuals

The Postmedieval Latvian Oral Microbiome in the Context of Modern Dental Calculus and Modern Dental Plaque Microbial Profiles

Metagenomic Insights Into the Microbial Communities of Inert and Oligotrophic Outdoor Pier Surfaces of a Coastal City

Mycobiome changes in the vitreous of post fever retinitis patients

Basalt-Hosted Microbial Communities in the Subsurface of the Young Volcanic Island of Surtsey, Iceland

Characterization of cerebrospinal fluid (CSF) microbiota from patients with CSF shunt infection and reinfection using high throughput sequencing of 16S ribosomal RNAgenes

Intraocular Viral Communities Associated With Post-fever Retinitis


Metadata, scripts and baselines for the MTG-Jamendo dataset

Evaluation of CNN-based Automatic Music Tagging Models

Learning music audio representations via weak language supervision

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Music theme recognition using CNN and self-attention

Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging


Bicleaner fork that uses neural networks

Unsupervised Cross-lingual Representation Learning at Scale

A Decomposable Attention Model for Natural Language Inference

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering

Bicleaner AI: Bicleaner Goes Neural

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Automated Machine Learning: State-of-The-Art and Open Challenges

OBOE: Collaborative Filtering for AutoML Model Selection

Testing the Suitability of Automated Machine Learning for Weeds Identification

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

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


An ensemble approach to accurately detect somatic mutations using SomaticSeq

Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing

Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing

Robust Cancer Mutation Detection with Deep Learning Models Derived from Tumor-Normal Sequencing Data


A garden for scikit-learn compatible trees

Forecasting Intra-Hour Imbalances in Electric Power Systems

AMF: Aggregated Mondrian Forests for Online Learning

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests

Deep neural networks for the quantile estimation of regional renewable energy production

Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants


OPEM (Open Source PEM Fuel Cell Simulation Tool)


Utilities for analyzing next generation sequencing data

angsd‐wrapper: utilities for analysing next‐generation sequencing data

ANGSD-wrapper: utilities for analyzing next generation sequencing data


A serializable note sequence representation and utilities.

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

miditok: A Python package for MIDI file tokenization

Generative Melody Composition with Human-in-the-Loop Bayesian Optimization

The Music Annotation Pattern


BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology

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

Atypical connectome topography and signal flow in temporal lobe epilepsy

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

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Functional gradients reveal cortical hierarchy changes in multiple sclerosis


pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

UPF1 helicase promotes TSN-mediated miRNA decay

Genetic lines respond uniquely within the chicken thymic transcriptome to acute heat stress and low dose lipopolysaccharide


Application and Python module for average nucleotide identity analyses of microbes.

Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens

New CRISPR-Cas systems from uncultivated microbes

Revisiting the taxonomy and evolution of pathogenicity of the genus Leptospira through the prism of genomics

The Pseudomonas aeruginosa Pan-Genome Provides New Insights on Its Population Structure, Horizontal Gene Transfer, and Pathogenicity

Viromes of one year old infants reveal the impact of birth mode on microbiome diversity

Discovery and characterization of a prevalent human gut bacterial enzyme sufficient for the inactivation of a family of plant toxins

Chronicle of a Soil Bacterium: Paenibacillus polymyxa E681 as a Tiny Guardian of Plant and Human Health

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

Molecular Keys to the Janthinobacterium and Duganella spp. Interaction with the Plant Pathogen Fusarium graminearum

Alternative strategies of nutrient acquisition and energy conservation map to the biogeography of marine ammonia-oxidizing archaea


A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.

Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation

Conference on Automation Science and Engineering

Simulating Polyculture Farming to Learn Automation Policies for Plant Diversity and Precision Irrigation

IEEE Transactions on Automation Science and Engineering

Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants

International Conference on Robotics and Automation

AlphaGarden: Learning to Autonomously Tend a Polyculture Garden


Architettura della conoscenza - Ontologie per la descrizione del patrimonio culturale

Pattern-based design applied to cultural heritage knowledge graphs

The Landscape of Ontology Reuse Approaches

OntoSeer -- A Recommendation System to Improve the Quality of Ontologies


Open weather data for humans.


Deep Learning library for Lava

The Intel neuromorphic DNS challenge

Neuromorphic Bayesian Optimization in Lava


ESA CCI Toolbox (Cate)


A framework for the evaluation of autoregressive code generation language models.

SantaCoder: don't reach for the stars!

OctoPack: Instruction Tuning Code Large Language Models

LeTI: Learning to Generate from Textual Interactions

WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models


EXOplanet Transit Interpretation Code

Utilizing a Global Network of Telescopes to Update the Ephemeris for the Highly Eccentric Planet HD 80606 b and to Ensure the Efficient Scheduling of JWST

astrosource: automating optical astronomy measurement, calibration and analysis for variable stellar sources from provided photometry


The Multi-Mission Maximum Likelihood framework (3ML)

Extended gamma-ray sources around pulsars constrain the origin of the positron flux at Earth

Very-high-energy particle acceleration powered by the jets of the microquasar SS 433

Daily Monitoring of TeV Gamma-Ray Emission from Mrk 421, Mrk 501, and the Crab Nebula with HAWC

Time-resolved GRB polarization with POLAR and GBM - Simultaneous spectral and polarization analysis with synchrotron emission

10.4 m GTC observations of the nearby VHE-detected GRB 190829A/SN 2019oyw

Two Predictions of Supernova: GRB 130427A/SN 2013cq and GRB 180728A/SN 2018fip

Search for dark matter gamma-ray emission from the Andromeda Galaxy with the High-Altitude Water Cherenkov Observatory

Journal of Cosmology and Astroparticle Physics

Emission from accelerating jets in gamma-ray bursts: Radiation dominated flows with increasing mass outflow rates

Is spectral width a reliable measure of GRB emission physics?

Proceedings of 7th International Fermi Symposium — PoS(IFS2017)

Searching for dark matter sub-structure with HAWC


a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

Passage Re-ranking with BERT

Document Ranking with a Pretrained Sequence-to-Sequence Model

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

Improving Passage Retrieval with Zero-Shot Question Generation

Fact-Checking Complex Claims with Program-Guided Reasoning

Rapidly Bootstrapping a Question Answering Dataset for COVID-19

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Clickbait Spoiling via Question Answering and Passage Retrieval

MultiVerS: Improving scientific claim verification with weak supervision and full-document context

Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank


Tools for accelerating safe exploration research.

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes

Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks


Counter-fitting Word Vectors to Linguistic Constraints

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

International Conference on Computational Linguistics

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

Conference of the European Chapter of the Association for Computational Linguistics

Evaluation of taxonomic and neural embedding methods for calculating semantic similarity


Dataset of prompts, synthetic AI generated images, and aesthetic ratings.

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

A taxonomy of prompt modifiers for text-to-image generation

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models


Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

DAHash: Distribution Aware Tuning of Password Hashing Costs

Password Strength Signaling: A Counter-Intuitive Defense Against Password Cracking

Cost-Asymmetric Memory Hard Password Hashing


This is the Github repository for SemEval-2018 Task 3

SemEval-2018 Task 3: Irony Detection in English Tweets

North American Chapter of the Association for Computational Linguistics

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Enhancing the Generalization for Text Classification through Fusion of Backward Features

HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection

Computational Sarcasm Analysis on Social Media: A Systematic Review

BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts


Multi-Graph Convolutional Neural Networks

Deep Learning on Graphs: A Survey

Graph Convolutional Matrix Completion

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

A federated graph neural network framework for privacy-preserving personalization

Graph Learning based Recommender Systems: A Review

Inductive Graph Neural Networks for Spatiotemporal Kriging

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Scalable Probabilistic Matrix Factorization with Graph-Based Priors

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

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder


Create regional association plots from GWAS or meta-analysis

Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers

Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis

Genome-wide association study identifies risk loci for progressive chronic lymphocytic leukemia

Conditional Analysis Cakewalk

Gene signatures derived from transcriptomic-causal networks stratified colorectal cancer patients for effective targeted therapy


HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Recitation-Augmented Language Models

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Graph-Induced Transformers for Efficient Multi-Hop Question Answering

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


Publication Page for MPAL Paper 2019

A multiresolution framework to characterize single-cell state landscapes

Variant to function mapping at single-cell resolution through network propagation

Single-cell multi-omics identifies chronic inflammation as a driver of TP53-mutant leukemic evolution

Cluster-independent marker feature identification from single-cell omics data using SEMITONES

Chromatin accessibility analysis reveals regulatory dynamics and therapeutic relevance of Vogt-Koyanagi-Harada disease


Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

Hard Negative Mixing for Contrastive Learning

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

Contrastive Attraction and Contrastive Repulsion for Representation Learning

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning


e-SNLI: Natural Language Inference with Natural Language Explanations

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

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

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

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Explaining Deep Neural Networks

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference

Meeting of the Association for Computational Linguistics

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations


Simple reference implementation of GraphSAGE.

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Graph Neural Networks with Heterophily

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

Generalizing Graph Neural Networks Beyond Homophily.

Dimensional Reweighting Graph Convolutional Networks

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods


To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

To Trust Or Not To Trust A Classifier

Addressing Failure Prediction by Learning Model Confidence

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Robust Deep Learning for Autonomous Driving


The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

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

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

Are Few-shot Learning Benchmarks Too Simple ?

Uniform Sampling over Episode Difficulty

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification

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


a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Flow-based Video Segmentation for Human Head and Shoulders

A Self Validation Network for Object-Level Human Attention Estimation

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information

FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving


Facenet implementation by Keras2

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

Bias, awareness, and ignorance in deep-learning-based face recognition

FoggySight: A Scheme for Facial Lookup Privacy

Biometric Performance as a Function of Gallery Size

DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering

International Journal of Machine Learning and Cybernetics

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification

Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments

An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments


Solar Radiation and Photovoltaic Systems with R

Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols


RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

Review of the NIST Light-weight Cryptography Finalists

An Evaluation of the Multi-platform Efficiency of Lightweight Cryptographic Permutations

Lightweight Permutation-Based Cryptography for the Ultra-Low-Power Internet of Things


Meshed-Memory Transformer for Image Captioning. CVPR 2020

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

Text Augmentation Using BERT for Image Captioning

Efficient Modeling of Future Context for Image Captioning

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Are metrics measuring what they should? An evaluation of image captioning task metrics

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding


Bayesian neural network package

Scalable Bayesian Optimization Using Deep Neural Networks

Bayesian Optimization with Robust Bayesian Neural Networks

How Powerful are Performance Predictors in Neural Architecture Search?

Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

Neural Architecture Generator Optimization

Large Language Models to Enhance Bayesian Optimization

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks

Do Bayesian Variational Autoencoders Know What They Don't Know?

Deep Pipeline Embeddings for AutoML


Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

Developmental trajectories of cortical thickness by functional brain network: The roles of pubertal timing and socioeconomic status

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox

Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis


Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention

S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

Robust universal neural vocoding

Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features

Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph

Data Augmentation for Dementia Detection in Spoken Language

Multi-level Temporal-channel Speaker Retrieval for Robust Zero-shot Voice Conversion


A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Using the Output Embedding to Improve Language Models

Efficient softmax approximation for GPUs

Strategies for Training Large Vocabulary Neural Language Models

Enabling Real-time Neural IME with Incremental Vocabulary Selection


ZPar statistical parser. Universal language support (depending on the availability of training data), with language-specific features for Chinese and English. Currently support word segmentation, POS tagging, dependency and phrase-structure parsing.

Measuring the Information Content of Financial News

Neural Transition-based Syntactic Linearization

Dependency Language Models for Transition-based Dependency Parsing


ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

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

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Grammatical Error Correction: A Survey of the State of the Art

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Controllable data synthesis method for grammatical error correction

Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

Cross-lingual Transfer Learning for Grammatical Error Correction

Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting

Controlling Grammatical Error Correction Using Word Edit Rate


SMC++ infers population history from whole-genome sequence data.

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

Zenodo (CERN European Organization for Nuclear Research)

Genomic basis of homoploid hybrid speciation within chestnut trees

Limits and Convergence properties of the Sequentially Markovian Coalescent

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

Sweepstakes reproductive success via pervasive and recurrent selective sweeps

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

bioRxiv : the preprint server for biology

Genetic Diversity, Population Structure, and Environmental Adaptation Signatures of Chinese Coastal Hard-Shell Mussel Mytilus coruscus Revealed by Whole-Genome Sequencing

International journal of molecular sciences

Genetic diversity landscapes in outcrossing and selfingCaenorhabditisnematodes

Genetic structure and characteristics of Tibetan chickens

Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum


Rare variant test software for next generation sequencing data

RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data

Genetic diversity fuels gene discovery for tobacco and alcohol use

SEQMINER: An R-Package to Facilitate the Functional Interpretation of Sequence-Based Associations


Tools for downloading and analyzing summaries and evaluating summarization systems. https://summari.es/

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

A Framework for Word Embedding Based Automatic Text Summarization and Evaluation

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

DaNewsroom: A Large-scale Danish Summarisation Dataset

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

MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization


Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

Effective Approaches to Attention-based Neural Machine Translation

Visual Storytelling

Stories for Images-in-Sequence by using Visual and Narrative Components

International Conference on Telecommunications


A challenge to explore adversarial robustness of neural networks on CIFAR10.

Towards Deep Learning Models Resistant to Adversarial Attacks

Towards Evaluating the Robustness of Neural Networks

Robustness May Be at Odds with Accuracy

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

Generating Adversarial Examples with Adversarial Networks

Feature Denoising for Improving Adversarial Robustness

Exploring the Landscape of Spatial Robustness

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Spatially Transformed Adversarial Examples

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations


Spectroscopy Made Hard(er)

The southern stellar stream spectroscopic survey (S5) : Overview, target selection, data reduction, validation, and early science

Monthly Notices of the Royal Astronomical Society

The Southern Stellar Stream Spectroscopic Survey (S5): Chemical Abundances of Seven Stellar Streams

Detailed Abundances in the Ultra-faint Magellanic Satellites Carina II and III

Evidence from Disrupted Halo Dwarfs that r-process Enrichment via Neutron Star Mergers is Delayed by ≳500 Myr

Metal Mixing in the r-process Enhanced Ultrafaint Dwarf Galaxy Reticulum II*

R-process-rich Stellar Streams in the Milky Way*

S 5: The Destruction of a Bright Dwarf Galaxy as Revealed by the Chemistry of the Indus Stellar Stream

Metal-poor stars observed with the Magellan Telescope. IV. Neutron-capture element signatures in 27 main-sequence stars

SPORK That Spectrum: Increasing Detection Significances from High-resolution Exoplanet Spectroscopy with Novel Smoothing Algorithms

Chemical Abundances of the Typhon Stellar Stream


A combination of Autoencoder and Robust PCA

Anomaly Detection with Robust Deep Autoencoders

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

L0-norm Constrained Autoencoders for Unsupervised Outlier Detection

Pacific-Asia Conference on Knowledge Discovery and Data Mining


ETNLP: A toolkit to evaluate, extract, and visualize multiple embeddings

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

PhoBERT: Pre-trained language models for Vietnamese

ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task

Predicting Job Titles from Job Descriptions with Multi-label Text Classification

National Foundation for Science and Technology Development Conference on Information and Computer Science

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.

An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension

International Conference on Communications


A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for  graph or hyper-graph partitioning.

Robust Lineage Reconstruction from High-Dimensional Single-Cell Data

Mapping the evolving landscape of super-enhancers during cell differentiation


goben is a golang tool to measure TCP/UDP transport layer throughput between hosts.

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

Artificial Intelligence Control Logic in Next-Generation Programmable Networks


R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)

Combined Genetic and Genealogic Studies Uncover a Large BAP1 Cancer Syndrome Kindred Tracing Back Nine Generations to a Common Ancestor from the 1700s

Genetic variation in the HLA region is associated with susceptibility to herpes zoster

Perceptions of Similarity Can Mislead Provenancing Strategies—An Example from Five Co-Distributed Acacia Species

Detection of trait-associated structural variations using short-read sequencing


Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

Efficient Graph Deep Learning in TensorFlow with tf_geometric

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends


Best-fit model selection

ModelTest-NG: a new and scalable tool for the selection of DNA and protein evolutionary models

Adaptations of Alteromonas sp. 76-1 to Polysaccharide Degradation: A CAZyme Plasmid for Ulvan Degradation and Two Alginolytic Systems

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Colletotrichum shisoi sp. nov., an anthracnose pathogen of Perilla frutescens in Japan: molecular phylogenetic, morphological and genomic evidence

Population Genomic Analysis of Mycoplasma bovis Elucidates Geographical Variations and Genes associated with Host-Types

A Recurrent Motif: Diversity and Evolution of ShKT Domain Containing Proteins in the Vampire Snail Cumia reticulata

A parasitic fungus employs mutated eIF4A to survive on rocaglate-synthesizing Aglaia plants

An unusual case of bovine anthrax in the canton of Jura, Switzerland in 2017

Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis

Conservation analysis of core cell cycle regulators and their transcriptional behavior during limb regeneration in Ambystoma mexicanum


Low-Power Wireless Bus (LWB) is an adaptive, reliable, and efficient communication protocol for low-power wireless embedded systems, where nodes communicate wirelessly as if they were connected to a shared bus.

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges

Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge

BlueFlood: Concurrent Transmissions for Multi-Hop Bluetooth 5 -- Modeling and Evaluation

TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]


Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph Self-Supervised Learning: A Survey

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

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


A collection of python scripts that deal with VASP outpts, e.g. WAVECAR, POTCAR etc.

Charge-density-wave-induced bands renormalization and energy gaps in a
  kagome superconductor RbV3Sb5

Band Engineering of Dirac Semimetals Using Charge Density Waves

LaO as a candidate substrate for realizing superconductivity in an FeSe epitaxial film

A substitutional quantum defect in WS2 discovered by high-throughput computational screening and fabricated by site-selective STM manipulation

Emergent Spin Phenomena in Air-Stable, Atomically Thin Lead

Fluctuating Ru trimer precursor to a two-stage electronic transition in RuP

Inert gas as electronic impurity in semiconductors: The case for active infrared absorption in silicon

ADAQ-SYM: Automated Symmetry Analysis of Defect Orbitals


Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

Differentiation of Blackbox Combinatorial Solvers

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Optimizing Rank-based Metrics with Blackbox Differentiation

Robust and Decomposable Average Precision for Image Retrieval

Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting


A transition-based parser for Universal Dependencies with BiLSTM word and character representations.

82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models

Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle

International Workshop/Conference on Parsing Technologies

Parser Training with Heterogeneous Treebanks

Cross-Lingual Domain Adaptation for Dependency Parsing

Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch

Nordic Conference of Computational Linguistics


circular RNA analysis toolset

A comprehensive overview and evaluation of circular RNA detection tools

Circular DNA tumor viruses make circular RNAs

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

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Advances in circular RNAs and their role in glioma (Review)

Genome-Wide Annotation of circRNAs and Their Alternative Back-Splicing/Splicing with CIRCexplorer Pipeline.

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

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization

Functional Annotation of circRNAs of Tea Leaves during the Infection by the Tea Leaf Spot Pathogen, Didymella segeticola


The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules

El Niño and coral larval dispersal across the eastern Pacific marine barrier

Comparing Deep-Sea Larval Dispersal Models: A Cautionary Tale for Ecology and Conservation

Trajectories and metadata for Bach et al.: 'Holistic re-evaluation of Southern Ocean Iron Fertilization for atmospheric CO2 removal'


Logic Tensor Networks

Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

NeuPSL: Neural Probabilistic Soft Logic

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation

A Practical Guide on Explainable Ai Techniques Applied on Biomedical Use Case Applications

logLTN: Differentiable Fuzzy Logic in the Logarithm Space


Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.

PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors

International Conference on Computational Linguistics

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

North American Chapter of the Association for Computational Linguistics

Keyphrase Extraction from Disaster-related Tweets

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

Phonosemantic biases found in Leipzig-Jakarta lists of 66 languages

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

FonBund: A Library for Combining Cross-lingual Phonological Segment Data

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

Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness

The Post-Stroke Speech Transcription (PSST) Challenge


SNOwGLoBES code:  SuperNova Observatories with GLoBES

SNEWS 2.0: a next-generation supernova early warning system for multi-messenger astronomy

Constraining Properties of the Next Nearby Core-collapse Supernova with Multimessenger Signals

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

Neutrinos from dense environments : Flavor mechanisms, theoretical approaches, observations, and new directions

A D2O detector for flux normalization of a pion decay-at-rest neutrino source

Low- and High-energy Neutrinos from SN 2023ixf in M101

sntools: An event generator for supernova burst neutrinos

Probing neutrino decay scenarios by using the Earth matter effects on supernova neutrinos

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

Neutrino Echos following Black Hole Formation in Core-collapse Supernovae


floating-point errors checker

Stochastic rounding: implementation, error analysis and applications

The Positive Effects of Stochastic Rounding in Numerical Algorithms

Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis

Numerical Stability of DeepGOPlus Inference


A collection of structured and unstructured ESMF regridding schemes for Iris.

Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere

Evaluation of native Earth system model output with ESMValTool v2.6.0

The Impact of the Explicit Representation of Convection on the Climate of a Tidally Locked Planet in Global Stretched-mesh Simulations


feature extraction from speech signals

Modulation spectral features for speech emotion recognition using deep neural networks

Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease

Early detection of Parkinson’s disease from multiple signal speech: Based on Mandarin language dataset

Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices

Speech language models lack important brain-relevant semantics


Spatial alignment of single cell transcriptomic data.

Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Zenodo (CERN European Organization for Nuclear Research)

Deep learning and alignment of spatially-resolved whole transcriptomes of single cells in the mouse brain with Tangram

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

A single-cell time-lapse of mouse prenatal development from gastrula to birth


Python Repository of the Institute of Astronomy @ KU Leuven

Internal mixing of rotating stars inferred from dipole gravity modes

Low-frequency gravity waves in blue supergiants revealed by high-precision space photometry

Contamination in TESS Light Curves: The Case of the Fast Yellow Pulsating Supergiants

Unresolved Rossby and gravity modes in 214 A and F stars showing rotational modulation

Monthly notices of the Royal Astronomical Society


LCIA Formatter


DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Performance Evaluation of the Q Exactive HF-X for Shotgun Proteomics

DeepLC can predict retention times for peptides that carry as-yet unseen modifications

Cov-MS: A Community-Based Template Assay for Mass-Spectrometry-Based Protein Detection in SARS-CoV-2 Patients

Peptide retention time prediction in hydrophilic interaction liquid chromatography. Comparison of separation selectivity between bare silica and bonded stationary phases


Powerful RDF Knowledge Graph Generation with RML Mappings

Morph-KGC: Scalable knowledge graph materialization with mapping partitions

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

Declarative generation of RDF-star graphs from heterogeneous data

Boosting Knowledge Graph Generation from Tabular Data with RML Views


Collection of EM algorithms for blind source separation of audio signals

Unsupervised training of a deep clustering model for multichannel blind source separation

Unsupervised training of neural mask-based beamforming

A Comparison and Combination of Unsupervised Blind Source Separation Techniques

UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures

Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation

SuperME: Supervised and Mixture-to-Mixture Co-Learning for Speech
  Enhancement and Robust ASR


iVar is a computational package that contains functions broadly useful for viral amplicon-based sequencing.

Retrospective detection of asymptomatic monkeypox virus infections among male sexual health clinic attendees in Belgium

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

Flight-Associated Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 Corroborated by Whole-Genome Sequencing

Travel Surveillance and Genomics Uncover a Hidden Zika Outbreak during the Waning Epidemic

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

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

Metagenomic next-generation sequencing to characterize etiologies of non-malarial fever in a cohort living in a high malaria burden area of Uganda

Genomic stability of self-inactivating rabies

The Isolated in Utero Environment Is Conducive to the Emergence of RNA and DNA Virus Variants

Genomic Surveillance of Monkeypox Virus, Minas Gerais, Brazil, 2022


Creating heat and power demand profiles from annual values.

Speed of technological transformations required in Europe to achieve different climate goals

The potential role of a hydrogen network in Europe


Awesome Remote Sensing Toolkit based on PaddlePaddle.

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE Transactions on Geoscience and Remote Sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS Journal of Photogrammetry and Remote Sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE Geoscience and Remote Sensing Letters

A Transformer-Based Siamese Network for Change Detection

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

FCCDN: Feature Constraint Network for VHR Image Change Detection

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

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


NaturalCC: An Open-Source Toolkit for Code Intelligence

Attention Is All You Need

Sequence to Sequence Learning with Neural Networks

A Transformer-based Approach for Source Code Summarization

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

Cross-Language Binary-Source Code Matching with Intermediate Representations

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study

Proceedings of the ACM on Management of Data

Iterative Refinement of Project-Level Code Context for Precise Code
  Generation with Compiler Feedback

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code

Graph Neural Networks for Vulnerability Detection: A Counterfactual
  Explanation


SO Likelihoods and Theories

Constraining the galaxy-halo connection of infrared-selected unWISE galaxies with galaxy clustering and galaxy-CMB lensing power spectra

Cosmology from cross-correlation of ACT-DR4 CMB lensing and DES-Y3 cosmic shear


Control the quality of your labeled data with the Python tools you already know.

CrowdSpeech and Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription

Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation

Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP

A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python.

If in a Crowdsourced Data Annotation Pipeline, a GPT-4

Proceedings of the CHI Conference on Human Factors in Computing Systems

Learning from Crowds with Crowd-Kit

Towards Long-term Annotators: A Supervised Label Aggregation Baseline


Namecoin Wiki "Git" - The Namecoin wiki has moved to:

Survey of crosschain communications protocols

Identity Management on Blockchain -- Privacy and Security Aspects

Anonymous State Pinning for Private Blockchains


NSL-KDD Dataset

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network

Explaining Network Intrusion Detection System Using Explainable AI Framework

LSTM deep learning method for network intrusion detection system

Journal of Engineering and Applied Sciences

Naive Bayes modification for intrusion detection system classification with zero probability

Bulletin of Electrical Engineering and Informatics

Parallel processing using big data and machine learning techniques for intrusion detection

IAES International Journal of Artificial Intelligence (IJ-AI)

RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm

Artificial Neural Network and Genetic Clustering based Robust Intrusion Detection System

International Journal of Computer Applications

Intrusion Detection System Using Deep Learning and Its Application to Wi-Fi Network

IEICE Transactions on Information and Systems

Scalable Peaceman-Rachford Splitting Method with Proximal Terms


power systems tools made beautiful


A WGS de novo assembler based on the FMD-index for large genomes

The draft genome of the grass carp (Ctenopharyngodon idellus) provides insights into its evolution and vegetarian adaptation

Exploring single-sample SNP and INDEL calling with whole-genome de novo assembly

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Next-Generation Sequence Assembly: Four Stages of Data Processing and Computational Challenges

The draft genome of a wild barley genotype reveals its enrichment in genes related to biotic and abiotic stresses compared to cultivated barley


A Seismic Wave Propagation Code by Parallel Finite Difference Method

OpenSWPC: an open-source integrated parallel simulation code for modeling seismic wave propagation in 3D heterogeneous viscoelastic media

FDM Simulation of Seismic Waves, Ocean Acoustic Waves, and Tsunamis Based on Tsunami-Coupled Equations of Motion

Seismic‐ and Tsunami‐Wave Propagation of the 2011 Off the Pacific Coast of Tohoku Earthquake as Inferred from the Tsunami‐Coupled Finite‐Difference Simulation

Bulletin of the Seismological Society of America

Theoretical basis of the amplitude source location method for volcano-seismic signals

Journal of Geophysical Research: Solid Earth

Ocean-influenced Rayleigh waves from outer-rise earthquakes and their effects on durations of long-period ground motion

Constraining the source location of the 30 May 2015 (Mw 7.9) Bonin deep‐focus earthquake using seismogram envelopes of high‐frequency P waveforms: occurrence of deep‐focus earthquake at the bottom of a subducting slab

Scattering of teleseismic P-waves by the Japan Trench: A significant effect of reverberation in the seawater column

FDM Simulation of an Anomalous Later Phase from the Japan Trench Subduction Zone Earthquakes

Geometric effect on a laboratory-scale wavefield inferred from a three-dimensional numerical simulation

Effects of sea water on elongated duration of ground motion as well as variation in its amplitude for offshore earthquakes


Detecting and counting small objects - Analysis, review and application to counting

FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Finding Tiny Faces

Detecting and counting tiny faces


PyTorch code for SpERT: Span-based Entity and Relation Transformer

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!

Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks

Proceedings of the Sixth Workshop on Structured Prediction for NLP

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Joint Entity and Relation Extraction Network with Enhanced Explicit and Implicit Semantic Information

Extracting Material Property Measurement Data from Scientific Articles

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


Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Causal Discovery with Attention-Based Convolutional Neural Networks

Machine Learning and Knowledge Extraction

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Inductive Granger Causal Modeling for Multivariate Time Series

Entropy-Based Discovery of Summary Causal Graphs in Time Series

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery


A prize winning solution for DFDC challenge

Deepfake detection by human crowds, machines, and machine-informed crowds

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Deepfake Videos in the Wild: Analysis and Detection

High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction

DefakeHop++: An Enhanced Lightweight Deepfake Detector

Assessment Framework for Deepfake Detection in Real-world Situations

On the Generalization of Deep Learning Models in Video Deepfake Detection

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers

Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies

Investigation of ensemble methods for the detection of deepfake face manipulations


[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efﬁcient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images


An experimental platform for chunk-level data deduplication. Key words: DDFS, Sparse Index, Extreme Binning, SiLo, Sample Index, BLC; CBR, CFL, CAP, HAR; ASM, OPT; GC, Cumulus

Research on Routing Strategy in Cluster Deduplication System

Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump

IEEE Transactions on Parallel and Distributed Systems

The Framework of Data Deduplication

Data Deduplication for High Performance Storage System


FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation

Foreground segmentation using convolutional neural networks for multiscale feature encoding

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs


Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction