Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

LINSPECTOR: Multilingual Probing Tasks for Word Representations

A Systematic Study of Leveraging Subword Information for Learning Word Representations

Neural Machine Translation for Low-Resourced Indian Languages

AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach

When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information

LaoPLM: Pre-trained Language Models for Lao

基于多语言联合训练的汉-英-缅神经机器翻译方法(Chinese-English-Burmese Neural Machine Translation Method Based on Multilingual Joint Training)

China National Conference on Chinese Computational Linguistics

Deep Learning for the Russian Language

The Palgrave Handbook of Digital Russia Studies


COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning

Refined Commonsense Knowledge from Large-Scale Web Contents

IEEE Transactions on Knowledge and Data Engineering

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents

Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems

Can Large Language Models be Good Emotional Supporter? Mitigating
  Preference Bias on Emotional Support Conversation

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines


A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)

Low-pass whole genome bisulfite sequencing of neonatal dried blood spots identifies a role for RUNX1 in Down syndrome DNA methylation profiles

Imprinting effects of UBE3A loss on synaptic gene networks and Wnt signaling pathways

DNA hypomethylation ameliorates erosive inflammatory arthritis by modulating interferon regulatory factor-8

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

Detection of Modified Histones from Oral Mucosa of a Patient with DYT-KMT2B Dystonia


MedTagger is a light weight clinical NLP system built upon Apache UIMA.

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

Journal of the American Medical Informatics Association : JAMIA

Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework

An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses

medRxiv : the preprint server for health sciences

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)

A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)


ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

SuperPoint: Self-Supervised Interest Point Detection and Description

DISK: Learning local features with policy gradient


Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning

Similarity is Not All You Need: Endowing Retrieval Augmented Generation
  with Multi Layered Thoughts


iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.

Choose a Transformer: Fourier or Galerkin

MooAFEM: An object oriented Matlab code for higher-order adaptive FEM for (nonlinear) elliptic PDEs

Error Analysis of a Decoupled Finite Element Method for Quad-Curl Problems

A new numerical method for div-curl systems with low regularity assumptions

Geometric Decomposition and Efficient Implementation of High Order Face and Edge Elements

A simple virtual element-based flux recovery on quadtree

A Bootstrap Multigrid Eigensolver

Reduced Order Model Enhanced Source Iteration with Synthetic
  Acceleration for Parametric Radiative Transfer Equation


A learning rate range test implementation in PyTorch

Cyclical Learning Rates for Training Neural Networks

Primordial non-Gaussianity from the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey – I: Catalogue preparation and systematic mitigation

Monthly notices of the Royal Astronomical Society

Instance-based Label Smoothing For Better Calibrated Classification Networks

Backtracking gradient descent method for general C^1 functions, with applications to Deep Learning

PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization


A python module for evaluating NERC and NEL system performances as defined in the HIPE shared tasks (formerly CLEF-HIPE-2020-scorer).

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

hmBERT: Historical Multilingual Language Models for Named Entity Recognition

Yes but.. Can ChatGPT Identify Entities in Historical Documents?


Core Data of HowNet and OpenHowNet Python API

OpenHowNet: An Open Sememe-based Lexical Knowledge Base

Representation Learning for Natural Language Processing

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

Does attention mechanism possess the feature of human reading? A perspective of sentiment classification task

Bridging the Gap Between BabelNet and HowNet: Unsupervised Sense Alignment and Sememe Prediction

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


Evaluation software used in the Text Retrieval Conference

Neural Vector Spaces for Unsupervised Information Retrieval

ACM transactions on office information systems

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

International ACM SIGIR Conference on Research and Development in Information Retrieval

Wiser: A semantic approach for expert finding in academia based on entity linking

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Modularized Transfomer-based Ranking Framework

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

TripClick: The Log Files of a Large Health Web Search Engine

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval

SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search


This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Topographic gradients of intrinsic dynamics across neocortex

Time-resolved structure-function coupling in brain networks

Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

Integrative Functional, Molecular, and Transcriptomic Analyses of Altered Intrinsic Timescale Gradient in Depression

Time-resolved network control analysis links reduced control energy under DMT with the serotonin 2a receptor, signal diversity, and subjective experience

bioRxiv : the preprint server for biology

Hierarchical decoupling of electromagnetic and haemodynamic cortical networks

Effect of anode material and dispersal limitation on the performance and biofilm community in microbial electrolysis cells


Accelerated Reionization Era Simulations

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

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

Monthly Notices of the Royal Astronomical Society

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

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

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

Global 21cm absorption signal from superconducting cosmic strings

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

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

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

Prospects for 21 cm Galaxy Cross-correlations with HERA and the Roman High-latitude Survey


Diffprivlib: The IBM Differential Privacy Library

Differentially private random decision forests using smooth sensitivity

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Secure Random Sampling in Differential Privacy

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

Training Differentially Private Models with Secure Multiparty Computation

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Concolic Testing for Deep Neural Networks

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Coverage-Guided Testing for Recurrent Neural Networks

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the L_0 Norm

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations

Reliability Validation of Learning Enabled Vehicle Tracking

Embedding and extraction of knowledge in tree ensemble classifiers

Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features

Tutorials on Testing Neural Networks


The entry point to the MRS UAV system.

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of Intelligent and Robotic Systems

MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments

International Conference on Unmanned Aircraft Systems

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera

Autonomous Cooperative Wall Building by a Team of Unmanned Aerial Vehicles in the MBZIRC 2020 Competition

Metaheuristic planner for cooperative multi-agent wall construction with UAVs

Drones Guiding Drones: Cooperative Navigation of a Less-Equipped Micro Aerial Vehicle in Cluttered Environments


Blade Element Momentum Method for Propellers and Turbines

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

Using blade element momentum methods with gradient-based design optimization

Structural and Multidisciplinary Optimization


PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

Improved estimation of macroevolutionary rates from fossil data using a Bayesian framework

Progress to extinction: increased specialisation causes the demise of animal clades

Current extinction rate in European freshwater gastropods greatly exceeds that of the late Cretaceous mass extinction

No evidence for the radiation time lag model after whole genome duplications in Teleostei

A quantitative workflow for modeling diversification in material culture


Korean GPT-2 pretrained cased (KoGPT2)

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress

StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands


Holistic Evaluation of Language Models

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs

Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models


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

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

Impacts of Precipitation Modeling on Cloud Feedback in MIROC6

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


2019 novel coronavirus repository

Projecting demand for critical care beds during COVID-19 outbreaks in Canada

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

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing

SARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

Age could be driving variable SARS-CoV-2 epidemic trajectories worldwide

Inferring the number of COVID-19 cases from recently reported deaths

Impact assessment of full and partial stay-at-home orders, face mask usage, and contact tracing: An agent-based simulation study of COVID-19 for an urban region

Low dispersion in the infectiousness of COVID-19 cases implies difficulty in control


Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Citizen Participation and Machine Learning for a Better Democracy

Digital Government Research and Practice

NLP-Cube: End-to-End Raw Text Processing With Neural Networks

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Introducing RONEC - the Romanian Named Entity Corpus

Collection and Annotation of the Romanian Legal Corpus

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

Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task

Workshop on Balto-Slavic Natural Language Processing


[GSOC] Greek language support for spacy.io python NLP software

GREEK-BERT: The Greeks visiting Sesame Street

Hellenic Conference on Artificial Intelligence

Upon Improving the Performance of Localized Healthcare Virtual Assistants

AthPPA: A Data Visualization Tool for Identifying Political Popularity over Twitter

A Review of Greek NLP Technologies for Chatbot Development

Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics


Knowledge Amalgamation Engine

Data-Free Adversarial Distillation

Amalgamating Knowledge towards Comprehensive Classification

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers

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

Spot-Adaptive Knowledge Distillation

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

Deep Model Transferability from Attribution Maps

Progressive Network Grafting for Few-Shot Knowledge Distillation

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

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


ABCpy package

Approximate Bayesian Computation in Evolution and Ecology

Annual Review of Ecology, Evolution, and Systematics

An adaptive sequential Monte Carlo method for approximate Bayesian computation

Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation

Bayesian Synthetic Likelihood

SBI -- A toolkit for simulation-based inference

Adaptive approximate Bayesian computation for complex models

Likelihood-free inference via classification

Approximate Bayesian computation with the Wasserstein distance

Journal of the Royal Statistical Society Series B: Statistical Methodology

Approximate Bayesian Computation by Subset Simulation

A simulated annealing approach to approximate Bayes computations


Tools for power spectra estimation

CMB power spectra and cosmological parameters from Planck PR4 with CamSpec

The Atacama Cosmology Telescope: map-based noise simulations for DR6

Accurate estimation of angular power spectra for maps with correlated masks

The Simons Observatory: a new open-source power spectrum pipeline applied to the Planck legacy data

Journal of Cosmology and Astroparticle Physics


Balmorel Model

Making the sun shine at night: comparing the cost of dispatchable concentrating solar power and photovoltaics with storage

Energy Sources, Part B: Economics, Planning, and Policy

A unified European hydrogen infrastructure planning to support the rapid scale-up of hydrogen production

Day-Ahead Market Modelling of Large-Scale Highly-Renewable Multi-Energy Systems: Analysis of the North Sea Region towards 2050

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050


We are using data science to analyze water quality issues.


Awesome work on hand pose estimation/tracking

FingerTrak

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Weakly-supervised hand part segmentation from depth images

THE 14TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2021

DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera

Evaluation of Machine Learning Techniques for Hand Pose Estimation on Handheld Device with Proximity Sensor

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

A Pipeline for Hand 2-D Keypoint Localization Using Unpaired Image to Image Translation

Hand Pose Estimation with Attention-and-Sequence Network

Estimating 2D Multi-hand Poses from Single Depth Images

Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton

Hand Pose Estimation Based on 3D Residual Network with Data Padding and Skeleton Steadying


A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Learning Transferable Visual Models From Natural Language Supervision

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation


Implemetatin of Progressive Growing of GANs in PyTorch

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

On the Frequency Bias of Generative Models

Diffeomorphic Counterfactuals with Generative Models

Optimizing Intermediate Representations of Generative Models for Phase Retrieval


A Variational Perspective on Solving Inverse Problems with Diffusion Models

DifFace: Blind Face Restoration with Diffused Error Contraction

DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning
  the Generalised h-transform


PDDL instances covering the International Planning Competitions

Gemini 1.5: Unlocking multimodal understanding across millions of tokens
  of context

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Model Elicitation through Direct Questioning

Towards Action Model Learning for Player Modeling

Exploring and Benchmarking the Planning Capabilities of Large Language Models


DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers

Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization

Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy


A flexible, scalable, and reproducible pipeline to automate variant calling from raw sequence reads, with lots of bells and whistles.

grenepipe: a flexible, scalable and reproducible pipeline to automate variant calling from sequence reads

Monitoring rapid evolution of plant populations at scale with Pool-Sequencing

grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads


(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Debiased Recommendation with Neural Stratification

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


Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

Relational Reflection Entity Alignment

International Conference on Information and Knowledge Management

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

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

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

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Dependency-aware Self-training for Entity Alignment


Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method

Quantifiable Interactivity of Malicious URLs and the Social Media Ecosystem

Attacking strategies and temporal analysis involving Facebook discussion groups

Conference on Network and Service Management


Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Continual Learning of Control Primitives: Skill Discovery via Reset-Games

Dynamics-Aware Unsupervised Skill Discovery

International Conference on Learning Representations

Meta-Learning Parameterized Skills


Combined genomic, transcriptomic, and metabolomic analyses provide insights into chayote (Sechium edule) evolution and fruit development

The genome and transcriptome analysis of snake gourd provide insights into its evolution and fruit development and ripening

Chromosome-level assembly and analysis of the Thymus genome provide insights into glandular secretory trichome formation and monoterpenoid biosynthesis in thyme

Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes

Chromosome-level genome assembly of Aristolochia contorta provides insights into the biosynthesis of benzylisoquinoline alkaloids and aristolochic acids

Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity

Chromosome-scale genomics, metabolomics, and transcriptomics provide insight into the synthesis and regulation of phenols in Vitis adenoclada grapes

Chromosome-level genome assembly of an endangered plant Prunus mongolica using PacBio and Hi-C technologies

DNA research : an international journal for rapid publication of reports on genes and genomes

A chromosome-level genome assembly of Agave hybrid NO.11648 provides insights into the CAM photosynthesis

Chromosome-level genome and multi-omics analyses provide insights into the geo-herbalism properties of Alpinia oxyphylla


Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

Explainable AI Methods - A Brief Overview

A Survey of Deep Learning for Scientific Discovery

Regional Multi-Scale Approach for Visually Pleasing Explanations of Deep Neural Networks

Information-Theoretic Visual Explanation for Black-Box Classifiers


Collaborative text editor written in Elixir/Phoenix, running at alchemy.digitalfreepen.com

Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors

Proceedings of the ACM on Human-Computer Interaction

Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications

Real Differences between OT and CRDT for Co-Editors


本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的 应用探索与研究”相关模型

Medical Dialogue Generation via Dual Flow Modeling

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway
  Encoding

Reasoning Like a Doctor: Improving Medical Dialogue Systems via
  Diagnostic Reasoning Process Alignment


Pairwise Hierarchical Model

Cells of the human intestinal tract mapped across space and time

High-resolution genetic mapping of putative causal interactions between regions of open chromatin

A spatially resolved atlas of the human lung characterizes a gland-associated immune niche

Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases


Context-Aware Attentive Knowledge Tracing

Enhancing Knowledge Tracing via Adversarial Training

MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing

Deep knowledge tracing with learning curves

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction

Deep Knowledge Tracing with Learning Curves


A python module for English lemmatization and inflection.

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

Meeting of the Association for Computational Linguistics

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Temporal Reasoning in Natural Language Inference

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

Tractable Control for Autoregressive Language Generation

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP

On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction

Robustness of Explanation Methods for NLP Models


Data labels and scripts for fastMRI.org

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers

Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review


Deep Learning on Graphs: A Survey

Graph Convolutional Matrix Completion

Graph Learning based Recommender Systems: A Review

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation


This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022

Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval

Write What You Want: Applying Text-to-Video Retrieval to Audiovisual Archives


S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


Fast in-silico normalization algorithm for NGS data

A simple guide to de novo transcriptome assembly and annotation

In-silico read normalization using set multi-cover optimization

Improving in-silico normalization using read weights


Report processing and protein quantification for MS-based proteomics

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

A time-resolved proteomic and prognostic map of COVID-19

Pan-cancer proteomic map of 949 human cell lines

The proteomic landscape of genome-wide genetic perturbations

Clinical classifiers of COVID-19 infection from novel ultra-high-throughput proteomics

Deep Proteome Profiling Reveals Signatures of Age and Sex Differences in Paw Skin and Sciatic Nerve of Naïve Mice

Proteome Remodeling of the Eye Lens at 50 Years Identified With Data-Independent Acquisition

The bigger picture: global analysis of solubilization performance of classical detergents versus new synthetic polymers utilizing shotgun proteomics

DIAgui: a Shiny application to process the output from DIA-NN


Structured matrices for compressing neural networks

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Learning Compressed Transforms with Low Displacement Rank

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Localized Contrastive Learning on Graphs


Mirror of oflops (cbench) from git://gitosis.stanford.edu/oflops.git

DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking

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

Bulletin of Electrical Engineering and Informatics

Convolutional Neural Network Based Algorithm for Early Warning Proactive System Security in Software Defined Networks

Machine Learning based Malicious Payload Identification in Software-Defined Networking

Experimental Security Analysis of Controller Software in SDNs: A Review


Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection

IEEE Transactions on Geoscience and Remote Sensing

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images


the Zurich Atmosphere Purge. Sky subtraction for MUSE.

Monthly Notices of the RAS (0035-8711) - MusE GAs FLOw and Wind (MEGAFLOW) II. A study of gas accretion around z ≈ 1 star-forming galaxies with background quasars

Monthly Notices of the Royal Astronomical Society

Quantifying the Escape of Lyα at z ≈ 5–6: A Census of Lyα Escape Fraction with Hα-emitting Galaxies Spectroscopically Confirmed by JWST and VLT/MUSE

The Astrophysical Journal Supplement Series

Quantifying the escape of Lyα at z≈ 5-6: a census of Lyα escape fraction with Hα emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE


VCTK multi-speaker tacotron for ICASSP 2020

Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings

Can Speaker Augmentation Improve Multi-Speaker End-to-End TTS?


Official PyTorch implementation of NICE-GAN:  Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Breaking the Dilemma of Medical Image-to-image Translation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

An attentive-based generative model for medical image synthesis


PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Context Based Emotion Recognition Using EMOTIC Dataset

IEEE transactions on pattern analysis and machine intelligence

Contextual Emotion Recognition using Large Vision Language Models

Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning

SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images

Smell and Emotion: Recognising emotions in smell-related artworks


Graph CNNs for population graphs

Deep Learning on Graphs: A Survey

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease

Spectral Graph Convolutions for Population-based Disease Prediction

Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification

Multi-modal Graph Learning for Disease Prediction

An overview of deep learning in medical imaging


PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

Revealing the Myth of Higher-Order Inference in Coreference Resolution

A Structured Span Selector

Parallel Data Helps Neural Entity Coreference Resolution

The Role of Common Ground for Referential Expressions in Social Dialogues


GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.

Measuring Bias in Contextualized Word Representations

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Algorithmic fairness datasets: the story so far

Pre-training Mention Representations in Coreference Models

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

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

Impact of Gender Debiased Word Embeddings in Language Modeling


A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

Applications of Deep Learning in Fundus Images: A Review

Review of Machine Learning Applications Using Retinal Fundus Images

Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach

Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language
  Model

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases


Encodes a PowerShell script in the pixels of a PNG file and generates a oneliner to execute

IMShell-Dec: Pay More Attention to External Links in PowerShell

SUDS: Sanitizing Universal and Dependent Steganography

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models


Align multiple amino acid or nucleotide sequences.

A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

Feasibility and clinical utility of local rapid Nanopore influenza A virus whole genome sequencing for integrated outbreak management, genotypic resistance detection and timely surveillance

Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China

Mechanisms used for cDNA synthesis and site-specific integration of RNA into DNA genomes by a reverse transcriptase-Cas1 fusion protein

bioRxiv : the preprint server for biology


a parallel R package for detecting copy-number alterations from short sequencing reads

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

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

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

The clonal evolution of metastatic colorectal cancer

Abstract 190: Prognostic significance of esterase gene expression in multiple myeloma

A Spontaneous Aggressive ERα+ Mammary Tumor Model Is Driven by Kras Activation.

Spontaneous aggressive ERα+ mammary tumor model is driven by Kras activation

Resistance-promoting effects of ependymoma treatment revealed through genomic analysis of multiple recurrences in a single patient

S100 Calcium Binding Protein Family Members Associate With Poor Patient Outcome and Response to Proteasome Inhibition in Multiple Myeloma

Frontiers in cell and developmental biology


Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

Learning on Large-scale Text-attributed Graphs via Variational Inference

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Bridging Local Details and Global Context in Text-Attributed Graphs


WGDI: A user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Differences in pseudogene evolution contributed to the contrasting flavors of turnip and Chiifu, two Brassica rapa subspecies

Gapless genome assembly of East Asian finless porpoise

Subgenome phasing for complex allopolyploidy: case-based benchmarking and recommendations

Chromosome-Level Genome Assembly of the Rare and Endangered Tropical Plant Speranskia yunnanensis (Euphorbiaceae)


Code for the intrinsic dimensionality estimate of data representations

Dimensionality-Driven Learning with Noisy Labels

Intrinsic dimension of data representations in deep neural networks

Dataset Distillation with Infinitely Wide Convolutional Networks

On the Intrinsic Dimensionality of Image Representations


[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation


BCDU-Net : Medical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

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


R2D2: Repeatable and Reliable Detector and Descriptor

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

Online Invariance Selection for Local Feature Descriptors

D2D: Keypoint Extraction with Describe to Detect Approach

Decoupling Makes Weakly Supervised Local Feature Better

FFD: Fast Feature Detector

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

Single-Image Depth Prediction Makes Feature Matching Easier

MD-Net: Multi-Detector for Local Feature Extraction

Real-time Local Feature with Global Visual Information Enhancement


Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A Survey on Text Classification: From Shallow to Deep Learning

GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples

Socratic Question Generation: A Novel Dataset, Models, and Evaluation

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

GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data


FreeLB: Enhanced Adversarial Training for Natural Language Understanding

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding

Token-Aware Virtual Adversarial Training in Natural Language Understanding

An LLM can Fool Itself: A Prompt-Based Adversarial Attack

Exploring The Landscape of Distributional Robustness for Question Answering Models

ROIC-DM: Robust Text Inference and Classification via Diffusion Model

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training


A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

GAN Memory with No Forgetting

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks


EyeQ : Dataset of Retinal Image Quality Assessment

Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces

Medical Image Computing and Computer-Assisted Intervention

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II

Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement

QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models


source code of our paper presents in EMNLP 2019. https://www.aclweb.org/anthology/D19-1345/

Text Level Graph Neural Network for Text Classification

GraphDIVE: Graph Classification by Mixture of Diverse Experts

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?

Text Classification: A Review, Empirical, and Experimental Evaluation


Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems

Symposium on Dependable Autonomic and Secure Computing

Neural Network Repair with Reachability Analysis

Verifying Low-dimensional Input Neural Networks via Input Quantization


RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker

Large language models can accurately predict searcher preferences

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework


[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

Deep Learning for UAV-based Object Detection and Tracking: A Survey

IEEE Geoscience and Remote Sensing Magazine

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner


SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

INSIDE: LLMs' Internal States Retain the Power of Hallucination
  Detection

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

Unsupervised Real-Time Hallucination Detection based on the Internal
  States of Large Language Models

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State
  Transition Dynamics


Code to accompany "Human-Level Performance in No-Press Diplomacy via Equilibrium Search", published at ICLR 2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

No-Press Diplomacy from Scratch


Set of tools for viral metagenomics.

Two Years of Viral Metagenomics in a Tertiary Diagnostics Unit: Evaluation of the First 105 Cases

Zenodo (CERN European Organization for Nuclear Research)

Unbiased metagenomic sequencing complements specific routine diagnostic methods and increases chances to detect rare viral strains

Meningitis and epididymitis caused by Toscana virus infection imported to Switzerland diagnosed by metagenomic sequencing: a case report

Metagenomic Virome Sequencing in Living Donor and Recipient Kidney Transplant Pairs Revealed JC Polyomavirus Transmission

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America


BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Template-free Prompt Tuning for Few-shot NER

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision

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

Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision

Simple Questions Generate Named Entity Recognition Datasets

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations


serious constellations of reoccurring phylogenetically-independent origin

The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

Context-specific emergence and growth of the SARS-CoV-2 Delta variant

medRxiv : the preprint server for health sciences

Comparison of different sequencing techniques with multiplex real-time PCR for detection to identify SARS-CoV-2 variants of concern

Genomics-informed outbreak investigations of SARS-CoV-2 using civet

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

Assessment of Inter-Laboratory Differences in SARS-CoV-2 Consensus Genome Assemblies between Public Health Laboratories in Australia

SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method

Modeling the impact of the Omicron infection wave in Germany

Systematic Guidelines for Effective Utilization of COVID-19 Databases in Genomic, Epidemiologic, and Clinical Research


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

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

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


A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs

SOSTOOLS Version 4.00 Sum of Squares Optimization Toolbox for MATLAB

Verifying Switched System Stability With Logic

International Conference on Hybrid Systems: Computation and Control

Sparse Identification of Nonlinear Dynamics with Side Information (SINDy-SI)

Algorithmic construction of Lyapunov functions for continuous vector fields via convex semi-infinite programs

Strengthening SONC Relaxations with Constraints Derived from Variable Bounds

Sufficient Stability Conditions for a Class of Switched Systems With Multiple Steady States


MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.

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

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

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

Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data

A Thorough Evaluation of Task-Specific Pretraining for Summarization

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

Chinese Grammatical Correction Using BERT-based Pre-trained Model


Neural network supported GEV beamformer

Neural network based spectral mask estimation for acoustic beamforming

International Conference on Acoustics, Speech, and Signal Processing

Far-Field Automatic Speech Recognition

Narrow-band Deep Filtering for Multichannel Speech Enhancement

Neural Network-based Virtual Microphone Estimator


Code to reproduce LREC Paper Simplifying Semantic Annotations of SMCalFlow

Task-Oriented Dialogue as Dataflow Synthesis

Transactions of the Association for Computational Linguistics

MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset


Benchmarking the Spectrum of Agent Capabilities

TransDreamer: Reinforcement Learning with Transformer World Models

GriddlyJS: A Web IDE for Reinforcement Learning

EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents


A Library for Dynamic Graph Learning (NeurIPS 2023)

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

An Empirical Evaluation of Temporal Graph Benchmark

Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks

A survey of dynamic graph neural networks

From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning


Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

Generator Versus Segmentor: Pseudo-healthy Synthesis

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

Generative Adversarial Networks and Other Generative Models

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields


Overview of CTC 2021: Chinese Text Correction for Native Speakers

Mining Error Templates for Grammatical Error Correction

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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


integrated RNA-seq Analysis Pipeline

Re-annotation of 191 developmental and epileptic encephalopathy-associated genes unmasks de novo variants in SCN1A

The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data

Integrated Proteomics Analysis of Baseline Protein Expression in Pig Tissues


Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors

Meeting of the Association for Computational Linguistics

Anomaly detection in video with Bayesian nonparametrics

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces

Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method

Findings of the Association for Computational Linguistics: ACL 2023

Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video

Analyses of Multi-collection Corpora via Compound Topic Modeling

TopicModel4J: A Java Package for Topic Models


DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

Deep Learning Models for Multilingual Hate Speech Detection

A Deep Dive into Multilingual Hate Speech Classification

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2020, PT V


Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Reconstructing visual illusory experiences from human brain activity

Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation

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

Inter-individual deep image reconstruction via hierarchical neural code conversion

Sound reconstruction from human brain activity via a generative model with brain-like auditory features

Attentionally modulated subjective images reconstructed from brain activity


Hybrid zonotopes: a new set representation for reachability analysis of mixed logical dynamical systems

Reachability Analysis of Nonlinear Systems Using Hybrid Zonotopes and Functional Decomposition


[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Simple Questions Generate Named Entity Recognition Datasets


Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).

GraphHD: Efficient graph classification using hyperdimensional computing

Learning from Hypervectors: A Survey on Hypervector Encoding

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing


Hyperbolic Embeddings

Representation Tradeoffs for Hyperbolic Embeddings

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

Hyperbolic disc embedding of functional human brain connectomes using resting state fMRI

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space


Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

Time-optimal control of the race car: a numerical method to emulate the ideal driver

Minimum time optimal control simulation of a GP2 race car

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Optimal tyre usage for a Formula One car

Lap time optimisation of a racing go-kart

A Symbolic Approach to the Multibody Modeling of Road Vehicles

International Journal of Applied Mechanics


Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

A comparison of methods to harmonize cortical thickness measurements across scanners and sites

The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets

Depressive symptoms moderate functional connectivity within the emotional brain in chronic pain

A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies

Assessing cortical features in early stage ASD children


Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

Deep Learning for Optoelectronic Properties of Organic Semiconductors


Reinforcement learning for energy systems


Implements stochastic line search

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates


Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

A Distance For Multistage Stochastic Optimization Models

Dynamic generation of scenario trees

Computational optimization and applications

From Empirical Observations to Tree Models for Stochastic Optimization: Convergence Properties

ScenTrees.jl: A Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Programming

New Algorithms And Fast Implementations To Approximate Stochastic Processes


Access ZTF data from Python

ZTF J185139.81+171430.3 = ZTF18abnbzvx: the second white dwarf pulsar?

Orbital and spin periods of the candidate white dwarf pulsar ASASSN-V J205543.90+240033.5

New candidates for AM Canum Venaticorum stars among ASAS-SN transients

Publications of the Astronomical Society of Japan

BC Cassiopeiae: First detection of IW Andromedae-type phenomenon among post-eruption novae

Gaia22ayj: outburst from a deeply eclipsing 9.36-min binary?

Growth-rate measurement with type-Ia supernovae using ZTF survey simulations

Z Cam star PY Per in SU UMa state?

ASASSN-V J205543.90+240033.5: another white dwarf pulsar?

Emerging ordinary superhumps as the standard candle for WZ Sge stars

SDSS J094002.56+274942.0: an SU UMa star with an orbital period of 3.92 hours and an apparently unevolved secondary


Provides a function to measure the energy usage of another function.

Energy and Policy Considerations for Deep Learning in NLP

Energy Usage Reports: Environmental awareness as part of algorithmic accountability


Python version of Barycorr

Python Leap Second Management and Implementation of Precise Barycentric Correction (barycorrpy)

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

Medium-resolution spectrum of the exoplanet HIP 65426 b

The CARMENES search for exoplanets around M dwarfs. Guaranteed time observations Data Release 1 (2016-2020)

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

TOI-1759 b: A transiting sub-Neptune around a low mass star characterized with SPIRou and TESS

The SPIRou Legacy Survey Rotation period of quiet M dwarfs from circular polarization in near-infrared spectral lines: I. The SPIRou APERO analysis

Constraints on accretion disk size in the massive type 1 quasar PG 2308+098 from optical continuum reverberation lags

Optical and near-infrared stellar activity characterization of the early M dwarf Gl 205 with SOPHIE and SPIRou

Discovery of a proto-white dwarf with a massive unseen companion


A library for building an in-memory, Adaptive Learned indEX

ALEX: An Updatable Adaptive Learned Index

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

A Critical Analysis of Recursive Model Indexes

DILI: A Distribution-Driven Learned Index

Micro-architectural Analysis of a Learned Index

Testing the Robustness of Learned Index Structures


An R interface to cyclestreets.net APIs


Tor Browser automation with Selenium.

Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection

THREAT/crawl: a Trainable, Highly-Reusable, and Extensible Automated Method and Tool to Crawl Criminal Underground Forums

You Can Tell a Cybercriminal by the Company they Keep: A Framework to Infer the Relevance of Underground Communities to the Threat Landscape

Know Your Cybercriminal: Evaluating Attacker Preferences by Measuring Profile Sales on an Active, Leading Criminal Market for User Impersonation at Scale

A Measurement of Genuine Tor Traces for Realistic Website Fingerprinting


A Thai word tokenization library using Deep Neural Network

Syllable-based Neural Thai Word Segmentation

International Conference on Computational Linguistics

Word Similarity Datasets for Thai: Construction and Evaluation

Multiple Segmentations of Thai Sentences for Neural Machine Translation

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information

Thai Wav2Vec2.0 with CommonVoice V8

Lukthung Classification Using Neural Networks on Lyrics and Audios


An R    for getting point and gridded climate data by AOI

Pesticide application rates and their toxicological impacts: why do they vary so widely across the U.S.?

Predicting Inundation Dynamics and Hydroperiods of Small, Isolated Wetlands Using a Machine Learning Approach


a general-purpose fuzzer

Evaluating Fuzz Testing

The Art, Science, and Engineering of Fuzzing: A Survey

Not all bytes are equal: Neural byte sieve for fuzzing

Adaptive Grey-Box Fuzz-Testing with Thompson Sampling

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security

PropFuzz — An IT-security fuzzing framework for proprietary ICS protocols

International Conference on Applied Electronics

P-Fuzz: A Parallel Grey-Box Fuzzing Framework

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Improving Grey-Box Fuzzing by Modeling Program Behavior

Technical Report: Hardening Code Obfuscation Against Automated Attacks


Brainstorm plugin for fNIRS data analysis

Best practices for fNIRS publications

A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

The Benefits of Physical Activity in Individuals with Cardiovascular Risk Factors: A Longitudinal Investigation Using fNIRS and Dual-Task Walking

Evaluation of a personalized functional near infra‐red optical tomography workflow using maximum entropy on the mean

Impact of Anatomical Variability on Sensitivity Profile in fNIRS–MRI Integration


Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code

Application of interpretable machine learning for early prediction of prognosis in acute kidney injury

Computational and structural biotechnology journal

Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression

Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV

Clinical characteristics and risk factors associated with ICU-acquired infections in sepsis: A retrospective cohort study

Frontiers in cellular and infection microbiology

A nomogram to predict the in‐hospital mortality of patients with congestive heart failure and chronic kidney disease

Predictive value of the geriatric nutrition risk index for postoperative delirium in elderly patients undergoing cardiac surgery

An empirical study of using radiology reports and images to improve ICU mortality prediction

The Correlation Between the Types of Initial Bacterial Infection and Clinical Prognosis in Patients With Septic AKI

Effect of mean heart rate on 30-day mortality in ischemic stroke with atrial fibrillation: Data from the MIMIC-IV database

Pre-existing Proton Pump Inhibitor Treatment and Short-Term Prognosis of Acute Myocardial Infarction Patients


a program to evaluate dimensionally regulated parameter integrals numerically

A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec

Expansion by regions with pySecDec

Numerical evaluation of two-loop integrals with pySecDec


Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Procedural Content Generation via Machine Learning (PCGML)

Tile Pattern KL-Divergence for Analysing and Evolving Game Levels

Proceedings of the Genetic and Evolutionary Computation Conference

Addressing the Fundamental Tension of PCGML with Discriminative Learning

Procedural generation using quantum computation

International Conference on the Foundations of Digital Games

On Mixed-Initiative Content Creation for Video Games

Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset

Generating Paths with WFC

Virtual and Real Body Experience Comparison Using Mixed Reality Cycling Environment

Extend Wave Function Collapse to Large-Scale Content Generation

Wave Function Collapse Coloring: A New Heuristic for Fast Vertex Coloring


DScribe is a python package for creating machine learning descriptors for atomistic systems.

DScribe: Library of descriptors for machine learning in materials science

Recent advances and applications of deep learning methods in materials science

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

Chemical diversity in molecular orbital energy predictions with kernel ridge regression

Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization

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

Updates to the DScribe Library: New Descriptors and Derivatives


SmartBugs: A Framework to Analyze Ethereum Smart Contracts

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

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

Symbolic value-flow static analysis: deep, precise, complete modeling of Ethereum smart contracts

Proceedings of the ACM on Programming Languages

Source Code Obfuscation for Smart Contracts

Asia-Pacific Software Engineering Conference

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts

Smart Contract Upgradeability on the Ethereum Blockchain Platform: An Exploratory Study

AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes

VOLCANO: Detecting Vulnerabilities of Ethereum Smart Contracts Using Code Clone Analysis

Soley: Identification and Automated Detection of Logic Vulnerabilities
  in Ethereum Smart Contracts Using Large Language Models


One Class Splitting Criteria for Random Forests

Revisiting randomized choices in isolation forests

A Meta-level Analysis of Online Anomaly Detectors


Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Learning Transferable Visual Models From Natural Language Supervision

A ConvNet for the 2020s

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

CNN Architectures for Large-Scale Audio Classification

TSM: Temporal Shift Module for Efficient Video Understanding

Is Space-Time Attention All You Need for Video Understanding?

Swin Transformer V2: Scaling Up Capacity and Resolution


Peer-to-peer hypermedia protocol

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

IEEE Communications Surveys and Tutorials

EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange

Blockchain and Property in 2018: At the End of the Beginning

Innovations: Technology, Governance, Globalization

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms

IEEE Transactions on Network and Service Management

A Controllable Secure Blockchain-Based Electronic Healthcare Records Sharing Scheme

Trustable and Automated Machine Learning Running with Blockchain and Its Applications

The Benefits of Deploying Smart Contracts on Trusted Third Parties

Content Sharing Network based on IPFS and Blockchain

IOP Conference Series: Materials Science and Engineering


MOST – MATPOWER Optimal Scheduling Tool, for steady-state power systems scheduling problems.

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Secure Planning and Operations of Systems With Stochastic Sources, Energy Storage, and Active Demand

Using the Matpower Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty

Incentive Based Demand Response Program for Power System Flexibility Enhancement

MATPOWER Optimal Scheduling Tool (MOST) User's Manual

A Flexible Tool for Modeling and Optimal Dispatch of Resources in Agri-Energy Hubs


Find all significant local alignments between reads

Mechanisms of Surface Antigenic Variation in the Human Pathogenic Fungus Pneumocystis jirovecii

A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)

The Genome of the “Sea Vomit” Didemnum vexillum


MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Grism SED Fitting package

The nature of an ultra-faint galaxy in the cosmic dark ages seen with JWST

Physical Characterization of Early Galaxies in the Webb's First Deep Field SMACS J0723.3-7323

Early Results from GLASS–JWST. XXI. Rapid Asembly of a Galaxy at z = 6.23 Revealed by Its C/O Abundance

Testing the evolution of correlations between supermassive black holes and their host galaxies using eight strongly lensed quasars

Monthly Notices of the Royal Astronomical Society

Extremely Low Molecular Gas Content in the Vicinity of a Red Nugget Galaxy at z = 1.91

Between the Extremes: A JWST Spectroscopic Benchmark for High Redshift
  Galaxies Using  500 Confirmed Sources at z⩾5

Strong gravitational lensing by AGNs as a probe of the quasar–host relations in the distant Universe


BioBERT: a pre-trained biomedical language representation model for biomedical text mining

SciBERT: A Pretrained Language Model for Scientific Text

Drug repurposing for COVID-19 via knowledge graph completion

Building a PubMed knowledge graph

NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Meeting of the Association for Computational Linguistics

Bio-AnswerFinder: a system to find answers to questions from biomedical texts

Database : the journal of biological databases and curation

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

A Sentence Classification Framework to Identify Geometric Errors in Radiation Therapy from Relevant Literature

Decouple knowledge from parameters for plug-and-play language modeling


Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Learning Loss for Active Learning

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios


Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Attention Is All You Need

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

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

LaMDA: Language Models for Dialog Applications

GLU Variants Improve Transformer


marineHeatWaves is a module for python which implements the Marine Heatwave (MHW)  definition of Hobday et al. (2016, Prog Ocean).

Longer and more frequent marine heatwaves over the past century

Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact

Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model

Threat by marine heatwaves to adaptive large marine ecosystems in an eddy-resolving model

Subseasonal prediction of the 2020 Great Barrier Reef and Coral Sea marine heatwave

Marine Heatwaves and Their Depth Structures on the Northeast U.S. Continental Shelf

Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment

Tropical western and central Pacific marine heatwave data calculated from gridded sea surface temperature observations and CMIP6

Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macro events

The rapid rise of severe marine heat wave systems


This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

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

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


A Harder ImageNet Test Set (CVPR 2021)

Natural Adversarial Examples

Masked Siamese Networks for Label-Efficient Learning

On Feature Normalization and Data Augmentation

On the Strong Correlation Between Model Invariance and Generalization

Multi-scale Diffusion Denoised Smoothing

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs

Spatial Entropy as an Inductive Bias for Vision Transformers

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift

Automated Classification of Model Errors on ImageNet


MATLAB programming tools for radiomics analysis

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer’s Disease

Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer’s disease and mild cognitive impairment

Therapeutic advances in neurological disorders

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features

Automatic detection of pneumonia in chest X-ray images using textural features

Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage

Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study

Frontiers in cell and developmental biology

The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups

Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach


This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

Improving Style Transfer with Calibrated Metrics

Quantitative Evaluation of Style Transfer

The Cognition of Audience to Artistic Style Transfer


Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

Interactive Fiction Games: A Colossal Adventure

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning


Code and hyperparameters for the paper "Generative Adversarial Networks"

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

A scoping review of transfer learning research on medical image analysis using ImageNet

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Deep Feature Learning for EEG Recordings

A review of radar-based nowcasting of precipitation and applicable machine learning techniques

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders

Generative Adversarial Networks in Brain Imaging: A Narrative Review

A deep learning approach to identifying immunogold particles in electron microscopy images

Synthetic polarization-sensitive optical coherence tomography by deep learning


2nd place solution for Kaggle Deepfake Detection Challenge

The DeepFake Detection Challenge (DFDC) Dataset

Multi-attentional Deepfake Detection

Adversarial Threats to DeepFake Detection: A Practical Perspective

Deepfake Detection Scheme Based on Vision Transformer and Distillation

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

DeepFake-o-meter: An Open Platform for DeepFake Detection

Assessment Framework for Deepfake Detection in Real-world Situations

Robust Deepfake On Unrestricted Media: Generation And Detection

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers


OCR-free Document Understanding Transformer

Spatial Dependency Parsing for Semi-Structured Document Information Extraction


A collection of MARL benchmarks based on TorchRL

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning


Language Detection with Infinity-gram

Automatic Language Identification in Texts: A Survey

Self-disclosure topic model for classifying and analyzing Twitter conversations

Empirical Methods in Natural Language Processing

AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic

Conference on Computational Natural Language Learning

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus

The CMU Submission for the Shared Task on Language Identification in Code-Switched Data

Workshop on Computational Approaches to Code Switching

Knowledge-based Query Expansion in Real-Time Microblog Search

LILI: A Simple Language Independent Approach for Language Identification

International Conference on Computational Linguistics

Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank

Towards a Corsican Basic Language Resource Kit

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

Modeling Temporal Evidence from External Collections


Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Discourse-level Relation Extraction via Graph Pooling


The last data dump of Freebase with introductory explanation of its schema

AgentBench: Evaluating LLMs as Agents

Few-shot In-context Learning for Knowledge Base Question Answering

Would You Ask it that Way?

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over
  Structured Environments

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering


Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

Generating Molecular Conformer Fields

Modeling Molecular Structures with Intrinsic Diffusion Models

Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion


PyTorch Code for "PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-sharpening". TGRS 2021

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review


SVsim: a tool that generates synthetic Structural Variant calls as benchmarks to test/evaluate SV calling pipelines.

LUMPY: a probabilistic framework for structural variant discovery

Publisher Correction: IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis

Mutation-Simulator: fine-grained simulation of random mutations in any genome

FNBtools: A Software to Identify Homozygous Lesions in Deletion Mutant Populations

Short-range, orientation-reversing template-switching events occur at a high frequency in the human and yeast genomes


Open Astronomy Catalog API

Late-time H/He-poor Circumstellar Interaction in the Type Ic Supernova SN 2021ocs: An Exposed Oxygen–Magnesium Layer and Extreme Stripping of the Progenitor*

The broad-lined Type-Ic supernova SN 2022xxf with extraordinary
  two-humped light curves

HAFFET: Hybrid Analytic Flux FittEr for Transients

An archival search for type Ia supernova siblings

Magnetar Flare-driven Bumpy Declining Light Curves in Hydrogen-poor Superluminous Supernovae

Open Astronomy Catalogs API

Probing the Diversity of Type Ia Supernova Light Curves in the Open Supernova Catalog


FASconCAT-G offers a wide range of possibilities to edit and concatenate multiple nucleotide, amino acid, and structure sequence alignment files for phylogenetic and population genetic purposes. The main options include sequence renaming, file format conversion, sequence translation, consensus generation of predefined sequence blocks, and RY coding as well as site exclusions in nucleotide sequences. FASconCAT-G implemented process options can be invoked in any combination and performed during a single process run. FASconCAT-G can also read in and handle different file formats (FASTA, CLUSTAL, and PHYLIP) in a single run.

The tuatara genome reveals ancient features of amniote evolution

The Crown Pearl: a draft genome assembly of the European freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758)

Complete mitochondrial genome of the ragworm annelid Hediste diversicolor (of Müller, 1776) (Annelida: Nereididae)

Shedding light on the Chimaeridae taxonomy: the complete mitochondrial genome of the cartilaginous fish Hydrolagus mirabilis (Collett, 1904) (Holocephali: Chimaeridae)

The complete mitochondrial genome of the endemic Iberian pygmy skate Neoraja iberica Stehmann, Séret, Costa, & Baro 2008 (Elasmobranchii, Rajidae)

Organellar genomes of giant kelp from the southern hemisphere


Discriminative and Robust Online Learning for Siamese Visual Tracking (AAAI 2020)

Fully-Convolutional Siamese Networks for Object Tracking

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Fast Online Object Tracking and Segmentation: A Unifying Approach


Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons

NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators

Physics-informed neural networks for operator equations with stochastic data


EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences

Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation

A gastrointestinal locally activating Janus kinase inhibitor to treat ulcerative colitis


[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

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

Personalized Federated Learning with First Order Model Optimization

FedBABU: Towards Enhanced Representation for Federated Image Classification

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

Supernet Training for Federated Image Classification under System Heterogeneity


HOPS: automated detection and authentication of pathogen DNA in archaeological remains

The source of the Black Death in fourteenth-century central Eurasia

Human population dynamics and Yersinia pestis in ancient northeast Asia

Ancient Yersinia pestis and Salmonella enterica genomes from Bronze Age Crete

Equine herpesvirus 4 infected domestic horses associated with Sintashta spoke-wheeled chariots around 4,000 years ago


[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

GIT: A Generative Image-to-text Transformer for Vision and Language

Multimodal Contrastive Training for Visual Representation Learning

CASTing Your Model: Learning to Localize Improves Self-Supervised Representations

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles


Music Transformer Sequence Generation in Pytorch

Sequence to Sequence Learning with Neural Networks

Self-Attention with Relative Position Representations

Music Transformer

This Time with Feeling: Learning Expressive Musical Performance


Rank-based Gene Ontology analysis of gene expression data

A Sustained Immune Response Supports Long-Term Antiviral Immune Priming in the Pacific Oyster, Crassostrea gigas

Guttation capsules containing hydrogen peroxide: an evolutionarily conserved NADPH oxidase gains a role in wars between related fungi

Molecular characterization of larval development from fertilization to metamorphosis in a reef-building coral

Population epigenetic divergence exceeds genetic divergence in the Eastern oyster Crassostrea virginica in the Northern Gulf of Mexico

General DNA Methylation Patterns and Environmentally-Induced Differential Methylation in the Eastern Oyster (Crassostrea virginica)

Changes in Genome-Wide Methylation and Gene Expression in Response to Future pCO2 Extremes in the Antarctic Pteropod Limacina helicina antarctica

Differential basal expression of immune genes confers Crassostrea gigas resistance to Pacific Oyster Mortality Syndrome

Plasticity to ocean warming is influenced by transgenerational, reproductive, and developmental exposure in a coral reef fish

Resilience of Atlantic Slippersnail Crepidula fornicata Larvae in the Face of Severe Coastal Acidification

Transcriptomic and Epigenomic Dynamics of Honey Bees in Response to Lethal Viral Infection


Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

Benchmarking and survey of explanation methods for black box models

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Accountability by design in technology research

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

Identification, explanation and clinical evaluation of hospital patient subtypes


Offical Implementation for PalmTree

PalmTree: Learning an Assembly Language Model for Instruction Embedding

Conference on Computer and Communications Security

XFL: Naming Functions in Binaries with Extreme Multi-label Learning

UniASM: Binary Code Similarity Detection without Fine-tuning


[NeurIPS 2023] UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models


Milky Way Streams Footprint Library and Toolkit for Python

Streams, Substructures, and the Early History of the Milky Way

Annual Review of Astronomy and Astrophysics

Fourteen candidate RR Lyrae star streams in the inner Galaxy

Chemo-kinematics of the Gaia RR Lyrae: the halo and the disc

Overview of the DESI Milky Way Survey

galstreams: A Library of Milky Way Stellar Stream Footprints and Tracks

Implications of Milky Way substructures for the nature of dark matter

The Milky Way's stellar streams and globular clusters do not align in a Vast Polar Structure

Discovery of Extended Tidal Tails around the Globular Cluster Palomar 13

Mapping Gaia Parallax Systematic Errors over the Sky with Faint Milky Way Stars

The torsion of stellar streams and the overall shape of galactic gravity's source


This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.

Semantic and Topological Mapping using Intersection Identification

Entropy Based Multi-robot Active SLAM

Enhancing Robot Explanation Capabilities through Vision-Language Models:
  a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot
  Interaction


Drebin - NDSS 2014 Re-implementation

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection

When the Guard failed the Droid: A case study of Android malware

Dataset Bias in Android Malware Detection


OPAL: Open-community Profiling Assessment tooL

Critical Assessment of Metagenome Interpretation – a benchmark of computational metagenomics software

Assessing taxonomic metagenome profilers with OPAL

Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit


CMA-ES written in ANSI C (yet fairly object-oriented)

Quantifying the impact of boundary constraint handling methods on differential evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion


77. RECONSIDERING THE VALIDITY OF TRANSCRIPTOME-WIDE ASSOCIATION STUDIES

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks

Local patterns of genetic sharing challenge the boundaries between neuropsychiatric and insulin resistance-related conditions

medRxiv : the preprint server for health sciences

Genome-wide cross-disease analyses highlight causality and shared biological pathways of type 2 diabetes with gastrointestinal disorders

Are Alzheimer's and coronary artery diseases genetically related to longevity?


A Python package for intrinsic dimension estimation

Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation

Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data

Zenodo (CERN European Organization for Nuclear Research)

Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation


A comprehensive gradient-free optimization framework written in Python

MOF: A Modular Framework for Rapid Application of Optimization Methodologies to General Engineering Design Problems


Efficient Low-Memory Aligner

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation

One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis

The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services

Nordic Conference of Computational Linguistics

Democratizing neural machine translation with OPUS-MT

Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation

SiLLM: Large Language Models for Simultaneous Machine Translation

Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation

Graph Neural Networks for Multiparallel Word Alignment

Findings of the Association for Computational Linguistics: ACL 2022


3.41% and 17.11% error on CIFAR-10 and CIFAR-100

A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

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

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data

IEEE Transactions on Parallel and Distributed Systems

A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks


Mining CRISPRs in Environmental Datasets

A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases

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

An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Probing Genomic Aspects of the Multi-Host Pathogen Clostridium perfringens Reveals Significant Pangenome Diversity, and a Diverse Array of Virulence Factors

Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality

Diverse virus-encoded CRISPR-Cas systems include streamlined genome editors

gcMeta: a Global Catalogue of Metagenomics platform to support the archiving, standardization and analysis of microbiome data

Moisture Modulates Soil Reservoirs of Active DNA and RNA Viruses

Phylogenomics and comparative genomics of Lactobacillus salivarius, a mammalian gut commensal

Cargo genes of Tn7-like transposons comprise an enormous diversity of defense systems, mobile genetic elements and antibiotic resistance genes


MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates

Towards standardisation: comparison of five whole genome sequencing (WGS) analysis pipelines for detection of epidemiologically linked tuberculosis cases

The MAGMA pipeline for comprehensive genomic analyses of clinicalMycobacterium tuberculosissamples

Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana

Molecular Capture of Mycobacterium tuberculosis Genomes Directly from Clinical Samples: A Potential Backup Approach for Epidemiological and Drug Susceptibility Inferences

International journal of molecular sciences

Comparative Study on Tuberculosis Drug Resistance and Molecular Detection Methods Among Different Mycobacterium Tuberculosis Lineages

Tuberculosis Variant with Rifampin Resistance Undetectable by Xpert MTB/RIF, Botswana


An open-source computer program for the analysis of wave diffraction and radiation of three-dimensional floating or submerged structures


This toolbox aims to unify audio generation model evaluation for easier comparison.

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

Audiobox: Unified Audio Generation with Natural Language Prompts

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video
  Generation

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI


A database of marine reference data like climatologies and bathymetry


Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

Computer Methods in Applied Mechanics and Engineering

Learning physics-based reduced-order models for a single-injector combustion process

Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference

Transform & Learn: A data-driven approach to nonlinear model reduction