Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

Graph Lifelong Learning: A Survey


Neural Machine Translation of Rare Words with Subword Units

Fully Character-Level Neural Machine Translation without Explicit Segmentation

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs

Normalizing Medieval German Texts: from rules to deep learning

A Neural Approach to Language Variety Translation

Character-level Chinese-English Translation through ASCII Encoding

Neural machine translation of Basque

European Association for Machine Translation Conferences/Workshops

Character-level Transformer-based Neural Machine Translation

Improved English to Russian Translation by Neural Suffix Prediction


Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Play and Prune: Adaptive Filter Pruning for Deep Model Compression

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

IEEE International Symposium on High-Performance Parallel Distributed Computing

Transfer Learning for Performance Modeling of Deep Neural Network Systems


PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

International Conference on Computer Vision

A Survey of Deep Learning for Scientific Discovery

Missingness Bias in Model Debugging

How explainable are adversarially-robust CNNs?

Information-Theoretic Visual Explanation for Black-Box Classifiers

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound


Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

OODformer: Out-Of-Distribution Detection Transformer

An Effective Baseline for Robustness to Distributional Shift

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Towards Accurate Open-Set Recognition via Background-Class Regularization

Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection


The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Coreferential Reasoning Learning for Language Representation

BERT for Evidence Retrieval and Claim Verification

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

How Robust are Fact Checking Systems on Colloquial Claims?

North American Chapter of the Association for Computational Linguistics

Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification

International Conference on Computational Linguistics


ERNIE-Doc: A Retrospective Long-Document Modeling Transformer

Capturing Global Informativeness in Open Domain Keyphrase Extraction

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023

Multi-Document Keyphrase Extraction: Dataset, Baselines and Review


Python wrappers for accessing Forest Observatory data via the Salo API


Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review

Any unique image biomarkers associated with COVID-19?

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study


Real-world Noisy Image Denoising: A New Benchmark

Noisy Tensor Completion via Low-Rank Tensor Ring

Window-aware guided image filtering via local entropy

A Simple Denoising Algorithm for Real-World Noisy Camera Images

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser


A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.

Fast Exact Search in Hamming Space with Multi-Index Hashing

NearBucket-LSH: Efficient Similarity Search in P2P Networks

User session level diverse reranking of search results

Fishing in the Stream: Similarity Search over Endless Data


Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter

Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation

Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo


Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Characterizing possible failure modes in physics-informed neural networks

Respecting causality is all you need for training physics-informed neural networks

An Expert's Guide to Training Physics-informed Neural Networks

PirateNets: Physics-informed Deep Learning with Residual Adaptive
  Networks

Random Weight Factorization Improves the Training of Continuous Neural Representations


Iron Age and Anglo-Saxon genomes from East England reveal British migration history

Triangulation supports agricultural spread of the Transeurasian languages

A genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia

Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia

Emergence of human-adapted Salmonella enterica is linked to the Neolithization process

Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland

Ancient genomic time transect from the Central Asian Steppe unravels the history of the Scythians

The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect

Ancient genome-wide analyses infer kinship structure in an Early Medieval Alemannic graveyard

Palaeogenomic analysis of black rat (Rattus rattus) reveals multiple European introductions associated with human economic history


Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

The Federated Tumor Segmentation (FeTS) Challenge

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023


This is the main repo for Penglai.


GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

GraphSAINT: Graph Sampling Based Inductive Learning Method

GraphMAE: Self-Supervised Masked Graph Autoencoders

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

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


Quality information extraction at web scale.

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

Bootstrapping for Numerical Open IE

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2

Demonyms and Compound Relational Nouns in Nominal Open IE

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization

International Joint Conference on Natural Language Processing

Porting an Open Information Extraction System from English to German

Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining

International Conference on Computational Semantics

More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing

Towards an Automated Requirements-driven Development of Smart Cyber-Physical Systems


Contrastive Losses and Solution Caching for Predict-and-Optimize

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Backpropagation through Combinatorial Algorithms: Identity with Projection Works

Robust Losses for Decision-Focused Learning


RGB-D Salient Object Detection: A Survey

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

IEEE transactions on neural networks and learning systems

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

RGB-D salient object detection: A survey

Siamese Network for RGB-D Salient Object Detection and Beyond

Uncertainty Inspired RGB-D Saliency Detection

Specificity-preserving RGB-D Saliency Detection


[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

SPAct: Self-supervised Privacy Preservation for Action Recognition


Code for Neural Spline Flows paper

Neural Spline Flows

Scalable Normalizing Flows for Permutation Invariant Densities

Variational Inference with Continuously-Indexed Normalizing Flows

Robust model training and generalisation with Studentising flows

Learning Bijective Feature Maps for Linear ICA

Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates

Neural PCA for Flow-Based Representation Learning


A simple and accurate method to fool deep neural networks

DeepFool: a simple and accurate method to fool deep neural networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing

Deep Defense: Training DNNs with Improved Adversarial Robustness

EdgeFool: An Adversarial Image Enhancement Filter

Robustness via Deep Low-Rank Representations

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

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks

Harmonic Adversarial Attack Method

Defending against Adversarial Attacks through Resilient Feature Regeneration.


[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

MaPLe: Multi-modal Prompt Learning

DePT: Decoupled Prompt Tuning

Dynamic Prompting: A Unified Framework for Prompt Tuning


Neural CRF Model for Sentence Alignment in Text Simplification

Text Revision by On-the-Fly Representation Optimization

Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors

Cognitive Simplification Operations Improve Text Simplification


Repository for the pyCloudy package

Two new nova shells associated with V4362 Sagittarii and DO Aquilae

Monthly notices of the Royal Astronomical Society

Nonthermal element abundances at astrophysical shocks

Journal of Cosmology and Astroparticle Physics

Evidence of extreme ionization conditions and low metallicity in
  GHZ2/GLASS-z12 from a combined analysis of NIRSpec and MIRI observations


Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Modeling Relational Data with Graph Convolutional Networks

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

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


SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking (ACL 2019)

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?

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

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances


A collection of non-residential buildings for performance analysis and algorithm benchmarking


Next generation event data ontology

Joint event extraction along shortest dependency paths using graph convolutional networks

Text Categorization for Conflict Event Annotation

Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction

COfEE: A Comprehensive Ontology for Event Extraction from text

Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks


[ICML'24] Magicoder: Empowering Code Generation with OSS-Instruct

StarCoder: may the source be with you!

Instruction Tuning for Large Language Models: A Survey

A Survey on Large Language Models for Software Engineering

CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language
  Models to Coding Preferences


ChatterBox: Multi-round Multimodal Referring and Grounding, Multimodal, Multi-round dialogues

Visual Instruction Tuning

LISA: Reasoning Segmentation via Large Language Model

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest


Entity And RELation mapping

EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs

Message Passing for Complex Question Answering over Knowledge Graphs

IQA: Interactive query construction in semantic question answering systems

Knowledge-based Conversational Search


A workflow to allow Freesurfer recon-all to run on brain image with gliomas

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

Early white matter connectivity and plasticity in post stroke aphasia recovery

Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

A comparison of diffusion MRI presurgical tractography techniques with intraoperative mapping-based validation


SNIP: Single-shot Network Pruning based on Connection Sensitivity

Pruning neural networks without any data by iteratively conserving synaptic flow

Picking Winning Tickets Before Training by Preserving Gradient Flow

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

FreezeNet: Full Performance by Reduced Storage Costs

NTK-SAP: Improving neural network pruning by aligning training dynamics

Structured Pruning is All You Need for Pruning CNNs at Initialization

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset


Reinforcement Learning with Deep Energy-Based Policies

Composable Deep Reinforcement Learning for Robotic Manipulation

Policy Optimization as Wasserstein Gradient Flows

A Max-Min Entropy Framework for Reinforcement Learning

Diverse Policy Optimization for Structured Action Space


✨ Refined binning of metagenomic contigs using assembly graphs

GraphBin: refined binning of metagenomic contigs using assembly graphs

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning


Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Deepfake Detection using Spatiotemporal Convolutional Networks

GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection


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


PyTorch implementations of algorithms for density estimation

Density estimation using Real NVP

Glow: Generative Flow with Invertible 1x1 Convolutions

Masked Autoregressive Flow for Density Estimation

Anomaly detection with density estimation

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

Gravitational-wave population inference with deep flow-based generative network

Normalizing flows for novelty detection in industrial time series data

Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates

Amortized Monte Carlo Integration

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


The main repo of Penglai Enclave based on RISC-V Trapped Virtual Memory (TVM).


DDSL: Deep Differential Simplex Layer for Neural Networks

Towards General-Purpose Representation Learning of Polygonal Geometries

Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation

DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals


Julia framework for energy system models with a focus on multi-period capacity expansion

Adequacy of time-series reduction for renewable energy systems

Accounting for spatiality of renewables and storage in transmission planning

Economics of nuclear power in decarbonized energy systems


HiDimStat: High-dimensional statistical inference tool for Python

Controlling the false discovery rate via knockoffs

Aggregation of Multiple Knockoffs

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

Decoding with confidence: Statistical control on decoder maps

Spatially relaxed inference on high-dimensional linear models


Python module for the analysis of light curves from the ESA Cheops mission

The CHEOPS Mission

IEEE International Workshop on Metrology for AeroSpace

The hot dayside and asymmetric transit of WASP-189 b seen by CHEOPS

CHEOPS observations of the HD 108236 planetary system: a fifth planet, improved ephemerides, and planetary radii

Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops

A pair of sub-Neptunes transiting the bright K-dwarf TOI-1064 characterized with CHEOPS

Monthly Notices of the Royal Astronomical Society

WASP-186 and WASP-187: two hot Jupiters discovered by SuperWASP and SOPHIE with additional observations by TESS

Spi-OPS: Spitzer and CHEOPS confirm the near-polar orbit of MASCARA-1 b and reveal a hint of dayside reflection

A detailed analysis of the Gl 486 planetary system

A search for transiting planets around hot subdwarfs I. Methods and performance tests on light curves from Kepler, K2, TESS, and CHEOPS

Keele Research Repository (Keele University)

Investigating the architecture and internal structure of the TOI-561 system planets with CHEOPS, HARPS-N, and TESS


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

Instance-based Label Smoothing For Better Calibrated Classification Networks

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

Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos

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


A Python implementation of the brain connectivity toolbox. **Not actively maintained.**

Time-resolved structure-function coupling in brain networks

Network topology of the marmoset connectome

Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation

Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses

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

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

Gaming expertise induces meso-scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling

bioRxiv : the preprint server for biology


"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning

International Conference on Robotics and Automation

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions


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


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)

Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction

Clinical Natural Language Processing Workshop


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


Constraining the climate and ocean pH of the early Earth with a geological carbon cycle model

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

Evolved Climates and Observational Discriminants for the TRAPPIST-1 Planetary System

Organic Haze as a Biosignature in Anoxic Earth-like Atmospheres

Nitrogen Dioxide Pollution as a Signature of Extraterrestrial Technology

A Limited Habitable Zone for Complex Life

Rethinking CO Antibiosignatures in the Search for Life Beyond the Solar System

Effects of UV Stellar Spectral Uncertainty on the Chemistry of Terrestrial Atmospheres

Is ozone a reliable proxy for molecular oxygen?

Runaway climate cooling of ocean planets in the habitable zone: a consequence of seafloor weathering enhanced by melting of high-pressure ice

Early Mars habitability and global cooling by H2-based methanogens


Dimension reduced surrogate construction for parametric PDE maps

Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Learning high-dimensional parametric maps via reduced basis adaptive residual networks

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems


The new source code of the LinearFold, linear-time prediction for RNA secondary structures

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

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

Comparative analysis of RNA secondary structure accuracy on predicted RNA 3D models


KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

RoFormer: Enhanced Transformer with Rotary Position Embedding

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Membership Inference Attacks With Token-Level Deduplication on Korean Language Models

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

Orion-14B: Open-source Multilingual Large Language Models


SAM with text prompt

Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction

DreamEdit: Subject-driven Image Editing

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control

Compositional Text-to-Image Generation with Dense Blob Representations

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical
  Assistants

Text-driven Affordance Learning from Egocentric Vision

Can Foundation Models Reliably Identify Spatial Hazards? A Case Study on Curb Segmentation

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge


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


Geospatial Land Availability for Energy Systems

The techno-economic potential of offshore wind energy with optimized future turbine designs in Europe

Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe

Uniformly constrained land eligibility for onshore European wind power


Edgeless RT is an SDK and a runtime for Intel SGX. It combines top-notch Go support with simplicity, robustness and a small TCB. Developing confidential microservices has never been easier! C++17 and Rust (experimental) are also supported.

Understanding TEE Containers, Easy to Use? Hard to Trust

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security


[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Self-supervised Graph Learning for Recommendation

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

Automated Self-Supervised Learning for Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation


Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

A hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues

MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package

Quantitative photoacoustic estimates of intervascular blood oxygenation differences using linear unmixing

Effects of atlas-based anatomy on modelled light transport in the neonatal head


Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Controllable Generation with Text-to-Image Diffusion Models: A Survey

Large Convolutional Model Tuning via Filter Subspace


Universal Sentence Encoder

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Synthetic and Natural Noise Both Break Neural Machine Translation

Robustness Gym: Unifying the NLP Evaluation Landscape

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension

Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model


Python Library for Automating Molecular Simulations

Generalization of Intrinsic Orbitals to Kramers-Paired Quaternion Spinors, Molecular Fragments, and Valence Virtual Spinors

Journal of chemical theory and computation

Frequency Range Selection Method for Vibrational Spectra

The journal of physical chemistry letters

Characterization of Excited States in Time-Dependent Density Functional Theory Using Localized Molecular Orbitals

Enhancing ReaxFF for Molecular Dynamics Simulations of Lithium-Ion Batteries: An interactive reparameterization protocol


Dados relativos à pandemia COVID-19 em Portugal

A quantitative framework for exploring exit strategies from the COVID-19 lockdown

Fractional Modelling and Optimal Control of COVID-19 Transmission in Portugal

The daily urban dynamic indicator: Gauging the urban dynamic in Porto during the COVID-19 pandemic

Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas in Portugal

Mobility Patterns of the Portuguese Population During the First Year of the COVID-19 Pandemic: A Longitudinal Study

Social Sensing and Human in the Loop Profiling during Pandemics: the Vitoria application

COVID-19's pandemic: a new way of thinking through linear combinations of proportions

Mathematical Analysis of Infectious Diseases


Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Machine-learning-based diagnostics of EEG pathology

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

A Plug&Play P300 BCI Using Information Geometry

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

IEEE transactions on neural networks and learning systems

Decoding Imagined Speech and Computer Control using Brain Waves

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Introduction to Geometric Learning in Python with Geomstats

Proceedings of the Python in Science Conferences

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces


Awesome work on hand pose estimation/tracking

MEgATrack

FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by Miniature Thermal Cameras on Wrist

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


Search and download Copernicus Sentinel satellite images

Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification

ISPRS International Journal of Geo-Information

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Seeing Through Clouds in Satellite Images

Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity

POLARIMETRIC SAR DATA FROM SENTINEL-1A APPLIED TO EARLY CROP CLASSIFICATION

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

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region


The Python micro framework for building web applications.

Machine learning–based identification of hip arthroplasty designs

The Performance of the Robo-AO Laser Guide Star Adaptive Optics System at the Kitt Peak 2.1 m Telescope

DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning

Monthly Notices of the Royal Astronomical Society

Decentralized Lightweight Detection of Eclipse Attacks on Bitcoin Clients

Might I Get Pwned: A Second Generation Compromised Credential Checking Service

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark

NewsPod: Automatic and Interactive News Podcasts

International Conference on Intelligent User Interfaces

Modern Microscopy with the Web of Things: The OpenFlexure Microscope Software Stack

Securing Open Banking with Model-View-Controller Architecture and OWASP

Wireless Communications and Mobile Computing

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness


An advanced SAT solver

cvc5: A Versatile and Industrial-Strength SMT Solver

Tools and Algorithms for the Construction and Analysis of Systems

Guiding High-Performance SAT Solvers with Unsat-Core Predictions

Design and Results of the Second International Competition on Computational Models of Argumentation

Manthan: A Data Driven Approach for Boolean Function Synthesis

Belief Propagation Neural Networks

Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs

Factoring semi-primes with (quantum) SAT-solvers

CVC4 at the SMT Competition 2018

Hidden in snow, revealed in thaw: Cold boot attacks revisited

Schur's theorem in integer lattices


[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Reasoning with Language Model Prompting: A Survey

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

CodeKGC: Code Language Model for Generative Knowledge Graph Construction

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

InstructIE: A Chinese Instruction-based Information Extraction Dataset

On Analyzing the Role of Image for Visual-enhanced Relation Extraction


Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Omnigrok: Grokking Beyond Algorithmic Data


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

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


Phased LSTM

Feature Representations for Neuromorphic Audio Spike Streams

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


Word alignments generated by the Montreal Forced Aligner for the Librispeech dataset

Self-Supervised Learning for speech recognition with Intermediate layer supervision

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation


Repository to accompany RSS 2018 paper on dexterous hand manipulation

Sample-efficient Cross-Entropy Method for Real-time Planning

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems


Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning


Robotics Gym Environments

Asymmetric self-play for automatic goal discovery in robotic manipulation

panda-gym: Open-source goal-conditioned environments for robotic learning

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement


[ICLR 2021] Concept Learners for Few-Shot Learning

Concept Learners for Few-Shot Learning

Domain Adaptation under Open Set Label Shift

Concept Learners for Generalizable Few-Shot Learning.


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

Effectiveness of Pre-training for Few-shot Intent Classification

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization


Face Detection with the Faster R-CNN

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

Face Detection with the Faster R-CNN

Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments


LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping

Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning


simobility - light-weight mobility simulation framework. Best for quick prototyping


categorical variational autoencoder using the Gumbel-Softmax estimator

Categorical Reparameterization with Gumbel-Softmax

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables

Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows


Towards Automatic Concept-based Explanations

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution

A Framework to Learn with Interpretation

Computer Vision Analysis of Specimen Mammography to Predict Margin Status

medRxiv : the preprint server for health sciences


JAVELIN is now working under Python 3!

Accretion disc sizes from continuum reverberation mapping of AGN selected from the ZTF survey

Broad-line region in NGC 4151 monitored by two decades of reverberation mapping campaigns. I. Evolution of structure and kinematics

A Negative Long Lag from the Optical to the UV Continuum in Fairall 9

Multiwavelength Variation Phenomena of PKS 0735+178 on Diverse Timescales

How Can the Optical Variation Properties of Active Galactic Nuclei Be Unbiasedly Measured?

Negative Lags on the Viscous Timescale in Quasar Photometry and Prospects for Detecting More with LSST

Spectroscopic reverberation mapping of Quasar PKS 0736 + 017: broad-line region and black-hole mass

On the nature of the continuum reverberation of X-ray/UV and optical emission of IRAS 09149-6206


Lagrangian Neural Networks

Neural Ordinary Differential Equations

Hamiltonian Neural Networks

Lagrangian Neural Networks

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning


INTeractive learning via REPresentatIon Discovery

Is Q-learning Provably Efficient?

Provable Safe Reinforcement Learning with Binary Feedback

Towards Principled Representation Learning from Videos for Reinforcement
  Learning

Provable Interactive Learning with Hindsight Instruction Feedback


Epigenomic landscape of human colorectal cancer unveils an aberrant core of pan-cancer enhancers orchestrated by YAP/TAZ

PD-1 Inhibitors in Elderly and Immunocompromised Patients with Advanced or Metastatic Cutaneous Squamous Cell Carcinoma

Differential CMS-Related Expression of Cell Surface Carbonic Anhydrases IX and XII in Colorectal Cancer Models—Implications for Therapy

International journal of molecular sciences


Sample code for Constrained Graph Variational Autoencoders

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

A Model to Search for Synthesizable Molecules

Barking up the right tree: an approach to search over molecule synthesis DAGs

Conditional Constrained Graph Variational Autoencoders for Molecule Design


[TPAMI] Searching prompt modules for parameter-efficient transfer learning.

LoRA: Low-Rank Adaptation of Large Language Models

Parameter-Efficient Transfer Learning for NLP

Neural Prompt Search

Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for
  Vision


Let's train vision transformers (ViT) for cifar 10!

Vision Transformer Pruning

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization

AdvEWM: Generating image adversarial examples by embedding digital watermarks


Fully automated Gaussian decomposition package for emission line spectra

Ubiquitous velocity fluctuations throughout the molecular interstellar medium

GAUSSPY+: A fully automated Gaussian decomposition package for emission line spectra

Extracting the Cold Neutral Medium from HiEmission with Deep Learning: Implications for Galactic Foregrounds at High Latitude

The “Maggie” filament: Physical properties of a giant atomic cloud


Toolkit for vision-guided quadrupedal locomotion research

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization

Human-AI Shared Control via Policy Dissection


The release codes of LA-MCTS with its application to Neural Architecture Search.

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Sample-Efficient Neural Architecture Search by Learning Action Space

Few-shot Neural Architecture Search

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

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

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

Searching in the Forest for Local Bayesian Optimization

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation
  Strategy


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


Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Denoising Diffusion Probabilistic Models

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Auto-Encoding Variational Bayes

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

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions


my implement of my paper

One-class graph neural networks for anomaly detection in attributed networks

DAGAD: Data Augmentation for Graph Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Generative Semi-supervised Graph Anomaly Detection


SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727

Character-Level Question Answering with Attention

Improving Question Answering over Knowledge Graphs Using Graph Summarization


An R package for import, QC and analysis of Illumina Infinium genotyping arrays

The Mouse Universal Genotyping Array: From Substrains to Subspecies

argyle: An R Package for Analysis of Illumina Genotyping Arrays

The genomic ancestry, landscape genetics and invasion history of introduced mice in New Zealand

Prdm9 Intersubspecific Interactions in Hybrid Male Sterility of House Mouse


Suite2p: beyond 10,000 neurons with standard two-photon microscopy

A transient developmental increase in prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice

Miniscope-LFOV: A large-field-of-view, single-cell-resolution, miniature microscope for wired and wire-free imaging of neural dynamics in freely behaving animals

Hippocampal place codes are gated by behavioral engagement

Transient developmental increase of prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice


PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

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

A Survey on Time-Series Pre-Trained Models

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting

A Co-training Approach for Noisy Time Series Learning

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

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Deep Coupling Network For Multivariate Time Series Forecasting

PowerPM: Foundation Model for Power Systems

Self-Supervised Contrastive Learning for Long-term Forecasting


Text-to-SQL Generation for Question Answering on Electronic Medical Records

Knowledge Graph-based Question Answering with Electronic Health Records

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

Integrating question answering and text-to-SQL in Portuguese

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records


Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

Multi-task Learning based Pre-trained Language Model for Code Completion


A RST Parser with a trained model

Beyond News Contents: The Role of Social Context for Fake News Detection

Discourse-Aware Neural Extractive Text Summarization

Representation Learning for Text-level Discourse Parsing

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

The Role of User Profiles for Fake News Detection

PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019)

Better Document-level Sentiment Analysis from RST Discourse Parsing

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

Neural Discourse Structure for Text Categorization

Cross-lingual RST Discourse Parsing

Multi-view and multi-task training of RST discourse parsers

International Conference on Computational Linguistics


repository for Publicly Available Clinical BERT Embeddings

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

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Recognizing UMLS Semantic Types with Deep Learning

Representation Learning for Electronic Health Records

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

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records


Code for  "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".

QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection


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

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

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

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

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


Neural macine translation soft alignment visualisations for web and command line

Paying Attention to Multi-Word Expressions in Neural Machine Translation

Debugging Neural Machine Translations

Hybrid Machine Translation by Combining Output from Multiple Machine Translation Systems

Debugging Translations of Transformer-based Neural Machine Translation Systems


Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes

Can we predict T cell specificity with digital biology and machine learning?

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interactions

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database

bioRxiv : the preprint server for biology


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


Speech Toolkit for Malaysian language, https://malaya-speech.readthedocs.io/

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

FastPitch: Parallel Text-to-speech with Pitch Prediction

Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains


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


A Tensorflow implementation of Collaborative Metric Learning (CML)

Collaborative Metric Learning

Sequential Recommendation via Stochastic Self-Attention

Sampling-Decomposable Generative Adversarial Recommender

Topology Distillation for Recommender System

Bidirectional Distillation for Top-K Recommender System

Improving Collaborative Metric Learning with Efficient Negative Sampling

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Unbiased Knowledge Distillation for Recommendation

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling

IEEE transactions on pattern analysis and machine intelligence

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm


LexRank algorithm for text summarization

Self-Supervised and Controlled Multi-Document Opinion Summarization

Frustratingly Easy Model Ensemble for Abstractive Summarization

Empirical Methods in Natural Language Processing

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

Dialect Diversity in Text Summarization on Twitter

CiteBench: A benchmark for Scientific Citation Text Generation

Argumentative Text Generation in Economic Domain

Computational Linguistics and Intellectual Technologies

Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions

Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents

Proceedings of the 33rd ACM Conference on Hypertext and Social Media

Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization

Diverse Content Selection for Educational Question Generation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop


Genome-wide de novo genotyping with 2bRAD

Cleaner fish escape salmon farms and hybridize with local wrasse populations

Novel genomic resources for shelled pteropods: a draft genome and target capture probes for Limacina bulimoides, tested for cross-species relevance

Combining an Ecological Experiment and a Genome Scan Show Idiosyncratic Responses to Salinity Stress in Local Populations of a Seaweed

Gene expression associated with disease resistance and long-term growth in a reef-building coral

Epigenetic and Genetic Population Structure is Coupled in a Marine Invertebrate

The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia

Genomic signatures of host‐associated divergence and adaptation in a coral‐eating snail, Coralliophila violacea (Kiener, 1836)

2b-RAD Genotyping of the Seagrass Cymodocea nodosa Along a Latitudinal Cline Identifies Candidate Genes for Environmental Adaptation

Seascape genomics identify adaptive barriers correlated to tidal amplitude in the shore crab Carcinus maenas

Testing the ‘caves as islands’ model in two cave-obligate invertebrates with a genomic approach


Attention-based sequence to sequence learning

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence Level Training with Recurrent Neural Networks

Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

End-to-End Automatic Speech Translation of Audiobooks

Unsupervised Word Segmentation from Speech with Attention

Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models

Syntax-Aware Data Augmentation for Neural Machine Translation

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018


machine learning package

Crowdsourced mapping of unexplored target space of kinase inhibitors

Fast Kronecker Product Kernel Methods via Generalized Vec Trick

Tournament leave-pair-out cross-validation for receiver operating characteristic analysis

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method

Generalized vec trick for fast learning of pairwise kernel models


Fast linear assignment problem (LAP) solvers for Python based on c-extensions

Federated Learning with Matched Averaging

A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction

Novel diffusion-derived distance measures for graphs

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning

A Verifiable Multiparty Computation Solver for the Assignment Problem and Applications to Air Traffic Management


Punctuation restoration and spell correction experiments.

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically

SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words


A tooL for Prokaryotic Phylogeny And Clustering Analysis

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

Prokka: rapid prokaryotic genome annotation

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Producing polished prokaryotic pangenomes with the Panaroo pipeline


Predicting total battery cycle life time with machine learning


Iterated integral signature calculations

The iisignature library: efficient calculation of iterated-integral signatures and log signatures

A Data-driven Market Simulator for Small Data Environments

Sig-SDEs model for quantitative finance

Nonparametric pricing and hedging of exotic derivatives

Calculation of Iterated-Integral Signatures and Log Signatures

Numerical method for model-free pricing of exotic derivatives using rough path signatures

Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling


Models and datasets for perturbational single-cell omics

Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types

Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response

Pooled CRISPR screening with single-cell transcriptome read-out

A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens

Massively multiplex chemical transcriptomics at single-cell resolution

Exploring genetic interaction manifolds constructed from rich single-cell phenotypes

In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes

On the design of CRISPR-based single cell molecular screens

Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial fluidic indexing


Train, evaluate, and use different unsupervised topic modelling algorithms using a RESTful API.

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Measuring the Diffusion of Innovations with Paragraph Vector Topic Models

Apples to Apples: A Systematic Evaluation of Topic Models

Recent Advances in Natural Language Processing

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

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

A Survey on Neural Topic Models: Methods, Applications, and Challenges


Lab is a framework for evaluating planners and other solvers.


中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

A Pilot Study for Chinese SQL Semantic Parsing

Location reference recognition from texts: A survey and comparison

The First Evaluation of Chinese Human-Computer Dialogue Technology

TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation

Data Set and Evaluation of Automated Construction of Financial Knowledge Graph

Improving exchange rate forecasting via a new deep multimodal fusion model

Applied intelligence (Dordrecht, Netherlands)

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Chinese Named Entity Recognition Based on BERT and Lightweight Feature Extraction Model


Chemical Kinetics For Exoplanetary Atmospheres

VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres

The Astrophysical Journal Supplement Series

A solar C/O and sub-solar metallicity in a hot Jupiter atmosphere

Photochemically-produced SO_2 in the atmosphere of WASP-39b

A Comparative Study of Atmospheric Chemistry with VULCAN

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

ANALYTICAL MODELS OF EXOPLANETARY ATMOSPHERES. III. GASEOUS C–H–O–N CHEMISTRY WITH NINE MOLECULES

SO2, silicate clouds, but no CH4 detected in a warm Neptune

Inferring Shallow Surfaces on Sub-Neptune Exoplanets with JWST

Evidence for disequilibrium chemistry from vertical mixing in hot Jupiter atmospheres: A comprehensive survey of transiting close-in gas giant exoplanets with warm-Spitzer /IRAC

Atmospheric compositions and observability of nitrogen-dominated ultra-short-period super-Earths

Monthly notices of the Royal Astronomical Society


A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

Hierarchical Graph Pooling with Structure Learning

Graph-Revised Convolutional Network

GSLB: The Graph Structure Learning Benchmark


Implements stochastic line search

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

Bolstering Stochastic Gradient Descent with Model Building


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

Propofol Disrupts the Functional Core-Matrix Architecture of the Thalamus in Humans

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


An R interface to cyclestreets.net APIs


A toolkit to help generate renewable energy generation time-series for energy systems analysis

Robust Design of a Future 100% Renewable European Energy Supply System with Hydrogen Infrastructure

International journal of hydrogen energy


A minimalistic framework for Numerical Association Rule Mining

A brief overview of swarm intelligence-based algorithms for numerical association rule mining

Improved Nature-Inspired Algorithms for Numeric Association Rule Mining

International Conference on Intelligent Computing

Visualization of Numerical Association Rules by Hill Slopes

Population-based metaheuristics for Association Rule Text Mining


1D, super-resolution brightness profile reconstruction for interferometric sources

frankenstein: protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process

A super-resolution analysis of the DSHARP survey: Substructure is common in the inner 30 au

Dust traps and the formation of cavities in transition discs: a millimetre to sub-millimetre comparison survey

Monthly Notices of the Royal Astronomical Society

Inner edges of planetesimal belts: collisionally eroded or truncated?

Deprojecting and constraining the vertical thickness of exoKuiper belts


Bagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. Users should install with pip, not by cloning the repository.

Normal, dust-obscured galaxies in the epoch of reionization

New Observational H(z) Data from Full-spectrum Fitting of Cosmic Chronometers in the LEGA-C Survey

Probing the Nature of High-redshift Weak Emission Line Quasars: A Young Quasar with a Starburst Host Galaxy

An Extremely Compact, Low-mass Galaxy on its Way to Quiescence at z = 5.2

High dust content of a quiescent galaxy at z~2 revealed by deep ALMA observation

Lightning: An X-Ray to Submillimeter Galaxy SED-fitting Code with Physically Motivated Stellar, Dust, and AGN Models

Spectroscopic Confirmation of an Ultra-Massive Galaxy in a Protocluster
  at z ∼ 4.9


An ensemble approach to accurately detect somatic mutations using SomaticSeq

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

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

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


AntroPy: entropy and complexity of (EEG) time-series in Python

How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads

Proceedings of the 2023 ACM Symposium on Cloud Computing

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing

Sleep and cognition in aging dogs. A polysomnographic study

The Structure of Chaos: An Empirical Comparison of Fractal Physiology Complexity Indices Using NeuroKit2


Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data

Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study

A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model

Assessing Environmental Flow Targets Using Pre-Settlement Land Cover: A SWAT Modeling Application

Species-Richness Responses to Water-Withdrawal Scenarios and Minimum Flow Levels: Evaluating Presumptive Standards in the Tennessee and Cumberland River Basins

Assessing the Difference between Soil and Water Assessment Tool (SWAT) Simulated Pre-Development and Observed Developed Loading Regimes

Disentangling the effect of climatic and hydrological predictor variables on benthic macroinvertebrate distributions from predictive models


Creative Commons Attribution 4.0 International

Medical action ontology

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research

Database : the journal of biological databases and curation

DDIEM: drug database for inborn errors of metabolism

Phenopacket-tools: Building and validating GA4GH Phenopackets

The Medical Action Ontology: A tool for annotating and analyzing treatments and clinical management of human disease

medRxiv : the preprint server for health sciences


Kakao Hangul Analyzer III

Captivate! Contextual Language Guidance for Parent–Child Interaction

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model

Empirical Methods in Natural Language Processing

A Multi-Class Classification Model for Technology Evaluation

A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean

Vacillating Human Correlation of SacreBLEU in Unprotected Languages

Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)

Introducing Patents with Indirect Connection (PIC) for Establishing Patent Strategies


Pipelines for the analysis of 10x single-cell RNA-sequencing data

The Short Chain Fatty Acid Butyrate Imprints an Antimicrobial Program in Macrophages

Distinct fibroblast subsets drive inflammation and damage in arthritis

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

dropEst: pipeline for accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments

Secondary influenza challenge triggers resident memory B cell migration and rapid relocation to boost antibody secretion at infected sites

Lipid-associated macrophages transition to an inflammatory state in human atherosclerosis, increasing the risk of cerebrovascular complications


Lanugage of Thought (LOT) models in Python.

One model for the learning of language

Flexible Compositional Learning of Structured Visual Concepts

Compositional diversity in visual concept learning

A Large Dataset of Generalization Patterns in the Number Game


Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

Hate Speech detection in the Bengali language: A dataset and its baseline evaluation

Does really no one care? Analyzing the public engagement of communication scientists on Twitter

What You Can Scrape and What Is Right to Scrape: A Proposal for a Tool to Collect Public Facebook Data

Influence of the pandemic lockdown on Fridays for Future’s hashtag activism

Aspect Based Sentiment Analysis of Ridesharing Platform Reviews for Kansei Engineering

Determining containment policy impacts on public sentiment during the pandemic using social media data

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

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Journalism & Mass Communication Quarterly

Less Populist in Power? Online Communication of Populist Parties in Coalition Governments

Keep Them Engaged: Romanian County Inspectorates for Emergency Situations’ Facebook Usage for Disaster Risk Communication and Beyond


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 web application built on top of MyBatis 3, Spring 3 and Stripes

A Microservice Decomposition Method Through Using Distributed Representation of Source Code

Scalable Computing: Practice and Experience

An efficient method for uncertainty propagation in robust software performance estimation

Lessons learned from hyper-parameter tuning for microservice candidate identification

An expert system for redesigning software for cloud applications

A Comprehensive Survey on Energy Consumption Analysis for NoSQL

RADF: Architecture decomposition for function as a service

Zenodo (CERN European Organization for Nuclear Research)

A Microservices Identification Method Based on Spectral Clustering for Industrial Legacy Systems


Robust representation of semantically constrained graphs, in particular for molecules in chemistry

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

Data-Driven Strategies for Accelerated Materials Design

SELFIES and the future of molecular string representations

DECIMER - Towards Deep Learning for Chemical Image Recognition

FastFlows: Flow-Based Models for Molecular Graph Generation

VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules

Recent advances in the Self-Referencing Embedding Strings (SELFIES) library


LCIA Formatter

Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List


This is the repository for the GA4GH Data Security Work Stream, containing AAI and DSIP.

GA4GH: International policies and standards for data sharing across genomic research and healthcare

GA4GH Passport standard for digital identity and access permissions

Implementation of Privacy and Security for a Genomic Information System Based on Standards

A five-safes approach to a secure and scalable genomics data repository


Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Predicting into unknown space? Estimating the area of applicability of spatial prediction models


Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)

The ASKAP Variables and Slow Transients (VAST) Pilot Survey

The SRG/eROSITA All-Sky Survey. X-ray selection function models for the eRASS1 galaxy cluster cosmology

Radio variable and transient sources on minute time-scales in the ASKAP pilot surveys

Multi Order Coverage data structure to plan multi-messenger observations


NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!

General relativistic hydrodynamics on a moving-mesh I: static space–times

Bound Debris Expulsion from Neutron Star Merger Remnants

NRPyCritCol & SFcollapse1D: an open-source, user-friendly toolkit to study critical phenomena

Exploring pathways to forming twin stars


This repository is for the legacy Mixed Reality Toolkit (MRTK) v2.  For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity

Augmented Reality as a Telemedicine Platform for Remote Procedural Training

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

Accuracy and Repeatability Tests on HoloLens 2 and HTC Vive

The Identification, Development, and Evaluation of BIM-ARDM: A BIM-Based AR Defect Management System for Construction Inspections

HoloLens 1 vs. HoloLens 2: Improvements in the New Model for Orthopedic Oncological Interventions

PerfVis: Pervasive Visualization in Immersive Augmented Reality for Performance Awareness

International Conference on Performance Engineering

Merging real and virtual worlds: An analysis of the state of the art and practical evaluation of Microsoft Hololens


[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Graph Self-Supervised Learning: A Survey

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

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

Augmentation-Free Self-Supervised Learning on Graphs

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Compact Graph Structure Learning via Mutual Information Compression

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

Provable Training for Graph Contrastive Learning


Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

B-Pref: Benchmarking Preference-Based Reinforcement Learning

RIME: Robust Preference-based Reinforcement Learning with Noisy
  Preferences

Query-Policy Misalignment in Preference-Based Reinforcement Learning

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning


official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Video Probabilistic Diffusion Models in Projected Latent Space

Stochastic Image-to-Video Synthesis using cINNs

MoStGAN-V: Video Generation with Temporal Motion Styles


Do We Really Need Complicated Model Architectures For Temporal Networks?

On the Generalization Capability of Temporal Graph Learning Algorithms:
  Theoretical Insights and a Simpler Method

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding


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

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

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

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

DOPE: Distributed Optimization for Pairwise Energies


Atypical functional connectome hierarchy in autism

Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex

Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood

Divergent suicidal symptomatic activations converge on somato-cognitive action network in depression

The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma


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


Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

An overview of deep learning in medical imaging focusing on MRI

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

On instabilities of deep learning in image reconstruction and the potential costs of AI

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Pyramid Convolutional RNN for MRI Image Reconstruction

Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation

Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications


Weighted Principal Component Analysis (PCA) in Python

Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences

A large sub-Neptune transiting the thick-disk M4V TOI-2406.

FIESTA II. Disentangling Stellar and Instrumental Variability from Exoplanetary Doppler Shifts in the Fourier Domain

Development of the SPECULOOS exoplanet search project

Ground-based and Airborne Telescopes VIII

Wapiti: A data-driven approach to correct for systematics in RV data


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


An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model

International Conference on Artificial Intelligence and Law

Out of the BLEU: how should we assess quality of the Code Generation models?

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Global Optimization under Length Constraint for Neural Text Summarization

Meeting of the Association for Computational Linguistics

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Transformer-based Model for Single Documents Neural Summarization

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

Turkish abstractive text summarization using pretrained sequence-to-sequence models


High throughput sequencing analysis tools

Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals

Environmental Breviatea harbour mutualistic Arcobacter epibionts

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Giraffe genome sequence reveals clues to its unique morphology and physiology

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

Gene and genome-centric analyses of koala and wombat fecal microbiomes point to metabolic specialization for Eucalyptus digestion

Use of whole genome sequencing to investigate an increase in Neisseria gonorrhoeae infection among women in urban areas of Australia

De novo transcriptome assembly and analysis of differentially expressed genes of two barley genotypes reveal root-zone-specific responses to salt exposure

Repeat-Driven Generation of Antigenic Diversity in a Major Human Pathogen, Trypanosoma cruzi

Intra-host sequence variability in human papillomavirus

Papillomavirus research (Amsterdam, Netherlands)


Read trimming tool for Illumina NGS data.

Detection of Streptococcus pyogenes M1UK in Australia and characterization of the mutation driving enhanced expression of superantigen SpeA

WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil

Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis

Chromatin domain alterations linked to 3D genome organization in a large cohort of schizophrenia and bipolar disorder brains

Genomic Analysis of a Highly Virulent NDM-1-Producing Escherichia coli ST162 Infecting a Pygmy Sperm Whale (Kogia breviceps) in South America

MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)

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

The complete mitochondrial genome of Cycas debaoensis revealed unexpected static evolution in gymnosperm species

Genomic Perspectives on Aeromonas salmonicida subsp. salmonicida Strain 890054 as a Model System for Pathogenicity Studies and Mitigation of Fish Infections

INVADEseq to identify cell-adherent or invasive bacteria and the associated host transcriptome at single-cell-level resolution

The evolutionary mechanism of non-carbapenemase carbapenem-resistant phenotypes in Klebsiella spp


hotpants

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

The Peculiar Short-duration GRB 200826A and Its Supernova*

Infrared Echoes of Optical Tidal Disruption Events: ∼1% Dust-covering Factor or Less at Subparsec Scale

A Deep CFHT Optical Search for a Counterpart to the Possible Neutron Star–Black Hole Merger GW190814

One Thousand Days of SN2015bn: HST Imaging Shows a Light Curve Flattening Consistent with Magnetar Predictions

The Automated Photometry of Transients pipeline (AutoPhOT)

LIGHT CURVES OF 213 TYPE Ia SUPERNOVAE FROM THE ESSENCE SURVEY

Extreme variability in an active galactic nucleus: Gaia16aax

Monthly notices of the Royal Astronomical Society

Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields

Monthly Notices of the Royal Astronomical Society

The Curious Case of PHL 293B: A Long-lived Transient in a Metal-poor Blue Compact Dwarf Galaxy


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


Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Gradformer: Graph Transformer with Exponential Decay


A multimodal approach on emotion recognition using audio and text.

Multimodal Speech Emotion Recognition Using Audio and Text

Attention Based Fully Convolutional Network for Speech Emotion Recognition

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

Emotion Recognition from Speech


Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

Empirical Methods in Natural Language Processing

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation


Implementation of DeepJDOT in Keras

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

On Scalable and Efficient Computation of Large Scale Optimal Transport

Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.


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

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)


Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery


The released code of ReluVal in USENIX Security 2018

Formal Security Analysis of Neural Networks using Symbolic Intervals

Efficient Formal Safety Analysis of Neural Networks

Verifying Quantized Neural Networks using SMT-Based Model Checking


Language Detection with Infinity-gram

Automatic Language Identification in Texts: A Survey

Self-disclosure topic model for classifying and analyzing Twitter conversations

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


Wave propagation modules for PyTorch.

Deep pre-trained FWI: where supervised learning meets the physics-informed neural networks

Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

ω-FWI: Robust full-waveform inversion with Fourier-based metric


Sequence-to-sequence models for AMR parsing and generation

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Structural Neural Encoders for AMR-to-text Generation

Improving Neural Machine Translation with AMR Semantic Graphs

Using Semantic Role Labeling to Improve Neural Machine Translation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

Neural Ordinary Differential Equations

Universal Differential Equations for Scientific Machine Learning

Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs

A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems


Free PV API


ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation

Findings of the Association for Computational Linguistics: EACL 2023

Enhancing Question Answering on Charts Through Effective Pre-training
  Tasks