Eigen tools by Nick Patterson and Alkes Price lab

The UK Biobank resource with deep phenotyping and genomic data

Comparative genetic architectures of schizophrenia in East Asian and European populations

Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe

Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

Dynamic changes in genomic and social structures in third millennium BCE central Europe

Genome of a middle Holocene hunter-gatherer from Wallacea

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

Genomic analyses of hair from Ludwig van Beethoven

Retrotransposon-mediated evolutionary rewiring of a pathogen response orchestrates a resistance phenotype in an insect host

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


The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

Using Climate-Sensitive 3D City Modeling to Analyze Outdoor Thermal Comfort in Urban Areas

ISPRS International Journal of Geo-Information


PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format(VCF) files

PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files

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

The Genome Landscape of Tibetan Sheep Reveals Adaptive Introgression from Argali and the History of Early Human Settlements on the Qinghai–Tibetan Plateau

Genome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus Models

Genetic Diversity, Population Structure, and Linkage Disequilibrium of a Core Collection of Ziziphus jujuba Assessed with Genome-wide SNPs Developed by Genotyping-by-sequencing and SSR Markers

The genetic architecture of amylose biosynthesis in maize kernel

Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame

Genome-Wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions

A genome variation map provides insights into the genetics of walnut adaptation and agronomic traits

Genomic insights into the evolution of Echinochloa species as weed and orphan crop


Estimate the total emissions for popular CryptoArt platforms.


Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

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

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

Probing Pretrained Models of Source Codes

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

A Survey on Large Language Models for Software Engineering

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code

A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models


starter from "How to Train a GAN?" at NIPS2016

NIPS 2016 Tutorial: Generative Adversarial Networks

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

A high-bias, low-variance introduction to Machine Learning for physicists

LOGAN: Membership Inference Attacks Against Generative Models

Adversarial Representation Learning for Text-to-Image Matching

CapsuleGAN: Generative Adversarial Capsule Network

An Introduction to Image Synthesis with Generative Adversarial Nets

Intriguing properties of adversarial training at scale

GANs for Biological Image Synthesis

Symbolic Music Genre Transfer with CycleGAN


TALL: Temporal Activity Localization via Language Query

MAC: Mining Activity Concepts for Language-based Temporal Localization

A Survey on Video Moment Localization

Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions


BERT for Coreference Resolution

Longformer: The Long-Document Transformer

BERT for Coreference Resolution: Baselines and Analysis

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art

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

Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network

North American Chapter of the Association for Computational Linguistics

Fast End-to-end Coreference Resolution for Korean

A Study on Entity Resolution for Email Conversations

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

CEREC: A Corpus for Entity Resolution in Email Conversations

International Conference on Computational Linguistics

Incorporating Constituent Syntax for Coreference Resolution

Leveraging Pre-trained Models for Failure Analysis Triplets Generation


Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

CNN-based Lidar Point Cloud De-Noising in Adverse Weather

International Conference on Robotics and Automation

Semantic Graph Based Place Recognition for 3D Point Clouds

Rethinking Range View Representation for LiDAR Segmentation

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation


Code and Pretrained model for IGCV3

Interleaved Structured Sparse Convolutional Neural Networks

Deeply-Fused Nets

Interleaved Group Convolutions for Deep Neural Networks

Deep Convolutional Neural Networks with Merge-and-Run Mappings

BMVC - IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks


Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].

On the Evaluation of Neural Code Summarization

Proceedings of the 44th International Conference on Software Engineering

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation

Neural Code Summarization: How Far Are We?

MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation


A collection of succinct data structures

From Theory to Practice: Plug and Play with Succinct Data Structures

Log(Graph): A Near-Optimal High-Performance Graph Representation

A Framework of Dynamic Data Structures for String Processing

Hypersuccinct Trees - New universal tree source codes for optimal compressed tree data structures.

Parallel Construction of Compact Planar Embeddings

Entropy Trees and Range-Minimum Queries In Optimal Average-Case Space


Super Resolution datasets and models in Pytorch

Enhanced Deep Residual Networks for Single Image Super-Resolution

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Residual Dense Network for Image Super-Resolution

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images

Computer methods and programs in biomedicine


A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Dynamic Routing Between Capsules

Pushing the Limits of Capsule Networks

Galaxy morphology prediction using capsule networks

Monthly notices of the Royal Astronomical Society

PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks


Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

Visual-Inertial Monocular SLAM with Map Reuse

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments

XTDrone: A Customizable Multi-rotor UAVs Simulation Platform

Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices

Asynchronous Multi-View SLAM

SLAMM: Visual monocular SLAM with continuous mapping using multiple maps

Pixel-Wise Motion Segmentation for SLAM in Dynamic Environments


Persian (Farsi) Question Answering Dataset (+ Models)

PQuAD: A Persian Question Answering Dataset

Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian
  Language?

PCoQA: Persian Conversational Question Answering Dataset


CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

CVEfixes: automated collection of vulnerabilities and their fixes from open-source software

Predictive Models in Software Engineering

A Survey on Automated Program Repair Techniques


Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Importance Weighted Autoencoders

Ladder Variational Autoencoders

Fixing a Broken ELBO

Rényi Divergence Variational Inference

Sylvester Normalizing Flows for Variational Inference

Discrete Variational Autoencoders

Dirichlet Variational Autoencoder

An information-theoretic analysis of deep latent-variable models

An Architecture for Deep, Hierarchical Generative Models


Code and datasets for the Tsetlin Machine

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

On the Convergence of Tsetlin Machines for the XOR Operator

Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines

A relational tsetlin machine with applications to natural language understanding


A Java implementation of Shamir's Secret Sharing algorithm over GF(256).

Privacy-preserving Identity Broadcast for Contact Tracing Applications

Shared-Dining: Broadcasting Secret Shares using Dining-Cryptographers Groups


BCDU-Net : Medical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

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

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


GeDi: Generative Discriminator Guided Sequence Generation

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Neural Machine Translation of Rare Words with Subword Units

Generative and Discriminative Text Classification with Recurrent Neural Networks

Detecting computer-generated disinformation

International Journal of Data Science and Analytics

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation

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

Generating Scientific Definitions with Controllable Complexity

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

Controlled Text Generation with Hidden Representation Transformations


MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models

Transformer Module Networks for Systematic Generalization in Visual Question Answering

Extending Phrase Grounding with Pronouns in Visual Dialogues

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models

Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization

Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue


Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Random Erasing Data Augmentation

Training Neural Networks with Local Error Signals

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification


This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Convolutional Occupancy Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

3D-aware Image Synthesis via Learning Structural and Textural Representations

Unsupervised Discovery of Object Radiance Fields

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

Learning Implicit Surface Light Fields

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields

SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene


Pytorch0.4.1 codes for InsightFace

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

EditGAN: High-Precision Semantic Image Editing

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Variational Model Inversion Attacks


EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

Video-based AI for beat-to-beat assessment of cardiac function

Deep Learning Discovery of Demographic Biomarkers in Echocardiography

Uncertainty Estimation in Deep 2D Echocardiography Segmentation


ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

12-in-1: Multi-Task Vision and Language Representation Learning

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning


[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Deep Residual Learning for Image Recognition

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters


Release of CIFAR-10.1, a new test set for CIFAR-10.

Do ImageNet Classifiers Generalize to ImageNet?

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Learning Deep Kernels for Non-Parametric Two-Sample Tests

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

On the Strong Correlation Between Model Invariance and Generalization

How do we generalize?

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Multi-scale Diffusion Denoised Smoothing


Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Unsupervised Scale-Consistent Depth Learning from Video

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue


Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Learning Off-Policy with Online Planning

On-Policy Model Errors in Reinforcement Learning

Balancing Value Underestimation and Overestimation with Realistic Actor-Critic

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness

Locality Sensitive Sparse Encoding for Learning World Models Online

Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with
  Uncertainty-Aware Rollout Adaption


Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack


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

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

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

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

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

A gastrointestinal locally activating Janus kinase inhibitor to treat ulcerative colitis


LASER multilingual sentence embeddings as a pip package

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

NewsEmbed: Modeling News through Pre-trained Document Representations

Democratizing Neural Machine Translation with OPUS-MT

Building Neural Machine Translation Systems for Multilingual Participatory Spaces


Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

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

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

Detecting Anomalies within Time Series using Local Neural Transformations

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

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


[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

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

Deep Learning on Graphs: A Survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

Dynamic Network Embedding Survey

Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency

Transportation Research Part C: Emerging Technologies

Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting


Building a Conversational Agent Overnight with Dialogue Self-Play

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

Scalable Multi-Domain Dialogue State Tracking

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

Transfer Learning for Context-Aware Spoken Language Understanding

Automatic Speech Recognition & Understanding


Self-Attention Generative Adversarial Networks

Progressive Augmentation of GANs

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


Code repository for Black Mamba

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

BlackMamba: Mixture of Experts for State-Space Models


iBKH: The integrative Biomedical Knowledge Hub

From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs

medRxiv : the preprint server for health sciences

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises


Downloadable snapshots of the Chrome Top Million Websites pulled from public CrUX data in Google BigQuery.

Comparing Large-Scale Privacy and Security Notifications

Proceedings on Privacy Enhancing Technologies

Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices


[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

High Performance Visual Tracking with Siamese Region Proposal Network

Towards Distraction-Robust Active Visual Tracking

A Hypergradient Approach to Robust Regression without Correspondence

Benchmarking Deep Trackers on Aerial Videos

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

Multi-Templates Based Robust Tracking for Robot Person-Following Tasks


Extrapolating knowledge graphs from unstructured text using GPT-3 ♂

AGI for Agriculture

Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction


Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Parametric Contrastive Learning

ResLT: Residual Learning for Long-tailed Recognition

Generalized Parametric Contrastive Learning

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

Region Rebalance for Long-Tailed Semantic Segmentation

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness


LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Speaker Recognition from Raw Waveform with SincNet

LEAF: A Learnable Frontend for Audio Classification

Learning Filterbanks from Raw Speech for Phone Recognition


RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

Type-augmented Relation Prediction in Knowledge Graphs

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

GreenKGC: A Lightweight Knowledge Graph Completion Method


Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

International Conference on Information and Knowledge Management

Rethinking Graph Neural Networks for Anomaly Detection

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Reinforcement learning on graphs: A survey


Machine learning for high frequency bitcoin price prediction

Anticipating cryptocurrency prices using machine learning

Predicting digital asset market based on blockchain activity data


[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

A Survey on Semi-Supervised Semantic Segmentation


Pytorch implementation of BRECQ, ICLR 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Genie: Show Me the Data for Quantization


Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

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

Curriculum By Texture.

The Entropy Enigma: Success and Failure of Entropy Minimization

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images


Jointly Embedding Knowledge Graphs and Logical Rules

Empirical Methods in Natural Language Processing

Type-Constrained Representation Learning in Knowledge Graphs

Transition-based Knowledge Graph Embedding with Relational Mapping Properties

Pacific Asia Conference on Language, Information, and Computation

Semantically Smooth Knowledge Graph Embedding

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

KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

Composing Relationships with Translations

HAL (Le Centre pour la Communication Scientifique Directe)

Knowledge Base Completion via Coupled Path Ranking

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases

Context-Dependent Knowledge Graph Embedding

Irreflexive and Hierarchical Relations as Translations


[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

A foundation model for generalizable disease detection from retinal images

Transformers in computational visual media: A survey

The Hidden Attention of Mamba Models

A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation


An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

Knowledge Graph Embedding with Hierarchical Relation Structure

ESA: Entity Summarization with Attention

Leveraging Entity-Type Properties in the Relational Context for Knowledge Graph Embedding

IEICE Transactions on Information and Systems


Code for the paper "Deep Entity Matching with Pre-trained Language Models"

Deep entity matching with pre-trained language models

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

FlexER: Flexible Entity Resolution for Multiple Intents

Ground Truth Inference for Weakly Supervised Entity Matching

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms

Transformer-based Denoising Adversarial Variational Entity Resolution

The Battleship Approach to the Low Resource Entity Matching Problem

Proceedings of the ACM on Management of Data

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching


Harmonization of multi-site imaging data with ComBat

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.

Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives

A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

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

Tumor grading of soft tissue sarcomas using MRI-based radiomics

Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease

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

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients

European journal of nuclear medicine and molecular imaging

Harmonization Strategies in Multicenter MRI-Based Radiomics

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


GIZA++ is a statistical machine translation toolkit that is used to train IBM Models 1-5 and an HMM word alignment model. This package also contains the source for the mkcls tool which generates the word classes necessary for training some of the alignment models.

Curriculum Pre-training for End-to-End Speech Translation

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Accurate Word Alignment Induction from Neural Machine Translation

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

Controllable data synthesis method for grammatical error correction

Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation

Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns

Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval

Alignment-free Cross-lingual Semantic Role Labeling

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

Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language

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


Detection-based astronomical image registration.

The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

Monthly Notices of the Royal Astronomical Society

Studying the environment of AT 2018cow with MUSE

Searching for Fermi GRB optical counterparts with the prototype Gravitational-wave Optical Transient Observer (GOTO)

Monthly notices of the Royal Astronomical Society


Documentation for MoBa Genetics data release

How important are parents in the development of child anxiety and depression? A genomic analysis of parent-offspring trios in the Norwegian Mother Father and Child Cohort Study (MoBa)

The Norwegian Mother, Father, and Child cohort study (MoBa) genotyping data resource: MoBaPsychGen pipeline v.1

Do environmental effects indexed by parental genetic variation influence common psychiatric symptoms in childhood?

New insights into the genetic etiology of 57 essential and non-essential trace elements in humans


Reduction and analysis code for the VLT/SPHERE instrument

SPHERE: the exoplanet imager for the Very Large Telescope

Constraining the Nature of the PDS 70 Protoplanets with VLTI/GRAVITY

Perturbers: SPHERE detection limits to planetary-mass companions in protoplanetary disks

Direct imaging discovery of a super-Jovian around the young Sun-like star AF Leporis

Reference-star differential imaging on SPHERE/IRDIS

Revisiting the atmosphere of the exoplanet 51 Eridani b with VLT/SPHERE

Most EL CVn systems are inner binaries of hierarchical triples

Monthly Notices of the Royal Astronomical Society: Letters

The white dwarf binary pathways survey – VII. Evidence for a bi-modal distribution of post-mass transfer systems?

The high-albedo, low polarization disk around HD 114082 harbouring a Jupiter-sized transiting planet

High-contrast, high-angular resolution view of the GJ 367 exoplanet system


Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform
  Generation

SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis

IEEE International Conference on Acoustics, Speech, and Signal Processing


Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

From real-world electronic health record data to real-world results using artificial intelligence

Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study


Word Ordering Without Syntax

Transition-Based Syntactic Linearization with Lookahead Features

North American Chapter of the Association for Computational Linguistics

An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering

Empirical Methods in Natural Language Processing

Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization

International Joint Conference on Natural Language Processing

Transition-Based Deep Input Linearization


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

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

Proceedings of the 31st ACM International Conference on Multimedia

Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation


Creative Commons Attribution 4.0 International

Carbon Dioxide Removal (CDR) Modeling Experiments

Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 - Part 1: Model description and calibration

Pymagicc: A Python wrapper for the simple climate model MAGICC


S3norm ver2 + IDEAS epigenetic state / master peak list

Jointly characterizing epigenetic dynamics across multiple human cell types

Accurate and reproducible functional maps in 127 human cell types via 2D genome segmentation

An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis

S3norm: simultaneous normalization of sequencing depth and signal-to-noise ratio in epigenomic data

Direct prediction of regulatory elements from partial data without imputation

S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types


R  to download  open water quality data


Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

A machine learning route between band mapping and band structure

Dataset of photoemission valence-band mapping and band reconstruction of 2H-WSe2

Zenodo (CERN European Organization for Nuclear Research)

Excited-state photoemission band mapping data of the topological insulator Bi2Te2Se


CREST - Classification Resources for Environmnetal Sequence Tags, is a collection of software and databases for taxonomic classification of environmental marker genes from sequencing-based community profiling studies.

Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights

Grab what you can—an evaluation of spatial replication to decrease heterogeneity in sediment eDNA metabarcoding

Planctomycetes as a Vital Constituent of the Microbial Communities Inhabiting Different Layers of the Meromictic Lake Sælenvannet (Norway)

Vertical organization of microbial communities in Salineta hypersaline wetland, Spain

Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay


Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)

Dynamic Asymmetry Exposes 2019-nCoV Prefusion Spike

The journal of physical chemistry letters

Mild Phenotype of Wolfram Syndrome Associated With a Common Pathogenic Variant Is Predicted by a Structural Model of Wolframin

Computational normal mode analysis accurately replicates the activity and specificity profiles of CRISPR-Cas9 and high-fidelity variants

Computational and structural biotechnology journal

The Elastic Network Contact Model applied to RNA: enhanced accuracy for conformational space prediction


A simple single molecule tracking pipeline with a graphic user interface for quality control.

Recovering mixtures of fast-diffusing states from short single-particle trajectories

Proximity-assisted photoactivation (PAPA): Detecting molecular interactions in live-cell single-molecule imaging

Single-molecule tracking (SMT): a window into live-cell transcription biochemistry

A novel pathogenic mutation of MeCP2 impairs chromatin association independent of protein levels


R interface to the Greek National Data Bank for Hydrometeorological Information

hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information

ropensci/hydroscoper: hydroscoper 1.0.0


nnSVG: scalable method to identify spatially variable genes (SVGs) in spatially-resolved transcriptomics data

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes

BRISC: bootstrap for rapid inference on spatial covariances

A selective review of recent developments in spatially variable gene detection for spatial transcriptomics


package for primordial cosmology

First detection of the BAO signal from early DESI data

Dark Energy Survey: A 2.1% measurement of the angular Baryonic Acoustic
  Oscillation scale at redshift $z_{\rm eff}$=0.85 from the final dataset

Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024


JFact repository

The OWL Reasoner Evaluation (ORE) 2015 Competition Report

Optimizing Heuristics for Tableau-based OWL Reasoners

Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners

OWL Reasoners still useable in 2023


a python package for reduced density matrix techniques

Linear and nonlinear spectroscopy from quantum master equations

A partially linearized spin-mapping approach for simulating nonlinear optical spectra

A simple improved low temperature correction for the hierarchical equations of motion.

Detailed balance in mixed quantum-classical mapping approaches

On detailed balance in nonadiabatic dynamics: From spin spheres to equilibrium ellipsoids


Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

Machine Learning at the Network Edge: A Survey

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

An Ultra-low Power TinyML System for Real-time Visual Processing at Edge


Computational methods for 16S metabarcoding studies using Nanopore sequencing data

De novo clustering of long reads by gene from transcriptomics data

CARNAC-LR: De novo Clustering of Gene Expressed Variants in Transcriptomic Long Reads Data Sets

Research in Computational Molecular Biology


This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Hyperparameter Optimization for Large Language Model Instruction-Tuning

Instruction-tuning Aligns LLMs to the Human Brain

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs


CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks

Revisiting the Evidence for Collapsing Boundaries and Urgency Signals in Perceptual Decision-Making

The Journal of neuroscience : the official journal of the Society for Neuroscience

Discriminating evidence accumulation from urgency signals in speeded decision making

ChaRTr: An R toolbox for modeling choices and response times in decision-making tasks


Tool for demultiplexing Nanopore barcode sequence data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

De novo assembly of human genome at single-cell levels

Sequence and Structure Characteristics of 22 Deletion Breakpoints in Intron 44 of the DMD Gene Based on Long-Read Sequencing

Long-read-based single sperm genome sequencing for chromosome-wide haplotype phasing of both SNPs and SVs

Single-cell analysis of isoform switching and transposable element expression during preimplantation embryonic development

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq


Clermont PCR method In-Silico

Decreasing prevalence of contamination with extended-spectrum beta-lactamase-producing Enterobacteriaceae (ESBL-E) in retail chicken meat in the Netherlands

Prevalence and Genomic Characteristics of mcr -Positive Escherichia coli Strains Isolated from Humans, Pigs, and Foods in China

Whole-Genome Characterisation of ESBL-Producing E. coli Isolated from Drinking Water and Dog Faeces from Rural Andean Households in Peru


Genome-wide assessment of differential translations with ribosome profiling data

LncRNA-Encoded Peptide: Functions and Predicting Methods

Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in Escherichia coli

基因组蛋白质组与生物信息学报

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases

The PD-L1 Expression and Tumor-Infiltrating Immune Cells Predict an Unfavorable Prognosis in Pancreatic Ductal Adenocarcinoma and Adenosquamous Carcinoma


Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

RankGen: Improving Text Generation with Large Ranking Models

Latent Diffusion for Language Generation

Differentially Private Language Models for Secure Data Sharing

MAUVE Scores for Generative Models: Theory and Practice

Privacy-Preserving Domain Adaptation of Semantic Parsers

Privacy-Preserving Instructions for Aligning Large Language Models


Graph Attention Networks

Inductive Representation Learning on Large Graphs

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

LINE: Large-scale Information Network Embedding

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Spectral Network Embedding: A Fast and Scalable Method via Sparsity


High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation

eSRRF publication data repository


Public repository for symmetry-adapted Gaussian Process Regression (SA-GPR)

Thermodynamics and dielectric response of BaTiO3 by data-driven modeling

Polarizability models for simulations of finite temperature Raman spectra from machine learning molecular dynamics

Impact of quantum-chemical metrics on the machine learning prediction of electron density.

Raman Spectra of Amino Acids and Peptides from Machine Learning Polarizabilities


Systematic ProtEin AnnotatoR

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

Twelve years of SAMtools and BCFtools

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies

Sustainable data analysis with Snakemake

Using Drosophila melanogaster as a Model for Genotoxic Chemical Mutational Studies with a New Program, SnpSift

Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies

Prospective mapping of viral mutations that escape antibodies used to treat COVID-19

Bioconda: sustainable and comprehensive software distribution for the life sciences.

Complete map of SARS-CoV-2 RBD mutations that escape the monoclonal antibody LY-CoV555 and its cocktail with LY-CoV016


The VeriNet toolkit for verification of neural networks

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

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Neural Network Verification with Branch-and-Bound for General Nonlinearities


Differentiable convex optimization layers

Differentiable Convex Optimization Layers

Learning Convex Optimization Models

End-to-End Learning and Intervention in Games

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Differentiating through Log-Log Convex Programs

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach

Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming


Forward and Inverse Radiative Transport using the Adding-Doubling method

Multiwavelength tissue-mimicking phantoms with tunable vessel pulsation

Universal Theory of Light Scattering of Randomly Oriented Particles: A Fluctuational-Electrodynamics Approach for Light Transport Modeling in Disordered Nanostructures

Methodology development and evaluation of optical properties characterisation of small size tissue samples


Open Source Algorithm for Detecting Sea Ice Surface Features in High Resolution Optical Imagery

Open-source algorithm for detecting sea ice surface features in high-resolution optical imagery


Can we use Planet high-resolution imagery and machine learning to assess snow cover?


Python version of the SED fitter from Robitaille et al., 2007, ApJS 169 328

PROTOSTARS AT LOW EXTINCTION IN ORION A

Chandra Observations of the Field Containing HESS J1616–508

Massive Young Stellar Objects and Outflow in the Infrared Dark Cloud G79.3+0.3


Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

A Study on Reproducibility and Replicability of Table Structure Recognition Methods


Easily Process a Batch of Cox Models

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Integrative genomic and transcriptomic analysis reveals immune subtypes and prognostic markers in ovarian clear cell carcinoma

A New Prognostic Risk Score: Based on the Analysis of Autophagy-Related Genes and Renal Cell Carcinoma

ezcox: An R/CRAN Package for Cox Model Batch Processing and Visualization


HyperShot: Few-Shot Learning by Kernel HyperNetworks

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks

Hypernetwork approach to Bayesian MAML


Deduplication based on custom inline DNA barcodes.

Early assessment of circulating tumor DNA after curative‐intent resection predicts tumor recurrence in early‐stage and locally advanced non‐small‐cell lung cancer

Analysis of solid tumor mutation profiles in liquid biopsy

Abstract 1367: Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

Low-Coverage Whole Genome Sequencing Using Laser Capture Microscopy with Combined Digital Droplet PCR: An Effective Tool to Study Copy Number and Kras Mutations in Early Lung Adenocarcinoma Development

International journal of molecular sciences


LINE: Large-scale information network embedding

LINE: Large-scale Information Network Embedding

A Survey on Network Embedding

Network Representation Learning: A Survey

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

Graph Self-Supervised Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

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

VERSE: Versatile Graph Embeddings from Similarity Measures

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Graph-based Semi-supervised Learning: A Comprehensive Review

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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


An open platform for capturing, integrating, storing, and sharing biological knowledge in and across organizations.

Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data

Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections

Database : the journal of biological databases and curation


GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134

Solving Schrödinger Bridges via Maximum Likelihood

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Light Schrödinger Bridge


Preprocesses and Aligns Run-On Sequencing (PRO/GRO/ChRO-seq) data from Single-Read or Paired-End Illumina Sequencing

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

RNA Pol II pausing facilitates phased pluripotency transitions by buffering transcription

Genetic Dissection of the RNA Polymerase II Transcription Cycle

Identification and prediction of developmental enhancers in sea urchin embryos

Evolution of promoter-proximal pausing enabled a new layer of transcription control

Chromatin run-on sequencing analysis finds that ECM remodeling plays an important role in canine hemangiosarcoma pathogenesis


Scripts for calculating features and regression of prokaryote OGT

Predicting the optimal growth temperatures of prokaryotes using only genome derived features

Microbial communities of Auka hydrothermal sediments shed light on vent biogeography and the evolutionary history of thermophily

Evolutionary diversification of methanotrophic ANME-1 archaea and their expansive virome

Microbial community of recently discovered Auka vent field sheds light on vent biogeography and evolutionary history of thermophily

Potential for the anaerobic oxidation of benzene and naphthalene in thermophilic microorganisms from the Guaymas Basin


STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

INSTANCE – the Italian seismic dataset for machine learning

Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research

An automatic P-wave onset time picking method for mining-induced microseismic data based on long short-term memory deep neural network

Real-time Seismic Intensity Prediction using Self-supervised Contrastive GNN for Earthquake Early Warning

Automatic phase identification of earthquake based on the UBDN deep network

Real-time Earthquake Monitoring using Deep Learning: a case study on Turkey Earthquake Aftershock Sequence

FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines


Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022 Oral)

Towards Light-Weight and Real-Time Line Segment Detection

Vision-Based Automated Recognition and 3D Localization Framework for Tower Cranes Using Far-Field Cameras

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).

A model-driven approach to machine learning and software modeling for the IoT

ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning

From things' modeling language (ThingML) to things' machine learning (ThingML2)

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Annual International Computer Software and Applications Conference

Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

International Conference on Software Engineering

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence

ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services

MDE for Machine Learning-Enabled Software Systems: A Case Study and
  Comparison of MontiAnna & ML-Quadrat


Face detection and alignment using deep learning

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

Deep learning techniques for detecting and recognizing face masks: A survey

Pedestrian Detection Using Integrated Aggregate Channel Features and Multitask Cascaded Convolutional Neural-Network-Based Face Detectors


Suite of tools for processing BRB-seq data

The Hippo pathway controls myofibril assembly and muscle fiber growth by regulating sarcomeric gene expression

Extensive tissue-specific expression variation and novel regulators underlying circadian behavior

Inter-embryo gene expression variability recapitulates the hourglass pattern of evo-devo

Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma by Using a qPCR-based Gene Expression Assay on Formalin-Fixed Paraffin-Embedded Tissues

Commensal Gut Bacteria Buffer the Impact of Host Genetic Variants on Drosophila Developmental Traits under Nutritional Stress

Time- and cost-efficient high-throughput transcriptomics enabled by Bulk RNA Barcoding and sequencing

Differentially Expressed Genes and Signaling Pathways Potentially Involved in Primary Resistance to Chemo-Immunotherapy in Advanced-Stage Gastric Cancer Patients

An hourglass pattern of inter-embryo gene expression variability and of histone regulation in fly embryogenesis

Postnatal expansion of mesenteric lymph node stromal cells towards reticular and CD34+ stromal cell subsets

Logical design of synthetic cis-regulatory DNA for genetic tracing of cell identities and state changes


Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects


NuclearToolkit.jl: Julia package for nuclear structure calculations

Exploring medium mass nuclei using effective chiral nucleon-nucleon interactions

Accurate and precise quantum computation of valence two-neutron systems


The Galaxy Cluster ‘Pypeline’ for X-ray Temperature Maps

An X-ray and radio study of the Hubble Frontier Field cluster Abell S1063

Monthly Notices of the Royal Astronomical Society

LOFAR detection of a low-power radio halo in the galaxy cluster Abell 990

Monthly notices of the Royal Astronomical Society

P.037 Recurrency in mood disorders is related to bipolar course: pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts

On the origin of diffuse radio emission in Abell 85 – insights from new GMRT observations

Probing the Origin of Diffuse Radio Emission in the Cool Core of the Phoenix Galaxy Cluster

Simulating nearly edge-on sloshing in the galaxy cluster Abell 2199

Witnessing a Galaxy Cluster Merger with JWST and a Chandra X-Ray Temperature Map


Checker for "morally correct" induction proofs about haskell programs

Engaging, Large-Scale Functional Programming Education in Physical and Virtual Space

Check Your (Students') Proofs-With Holes


DFOIL: Introgression Testing for Five Taxa

The rice paradox: Multiple origins but single domestication in Asian rice

Whole-genome sequencing of the blue whale and other rorquals finds signatures for introgressive gene flow

Extensive Genome-Wide Phylogenetic Discordance Is Due to Incomplete Lineage Sorting and Not Ongoing Introgression in a Rapidly Radiated Bryophyte Genus

Genetic homogenization of the nuclear ITS loci across two morphologically distinct gentians in their overlapping distributions in the Qinghai-Tibet Plateau

Selection and gene flow define polygenic barriers between incipient butterfly species

Speciation in sympatry with ongoing secondary gene flow and an olfactory trigger in a radiation of Cameroon cichlids


TESS TPF plotter with Gaia catalog

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

Planetary system LHS 1140 revisited with ESPRESSO and TESS

A super-Earth and a sub-Neptune orbiting the bright, quiet M3 dwarf TOI-1266

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

Precise mass and radius of a transiting super-Earth planet orbiting the M dwarf TOI-1235: a planet in the radius gap?

Discovery of a hot, transiting, Earth-sized planet and a second temperate, non-transiting planet around the M4 dwarf GJ 3473 (TOI-488)

An ultra-short-period transiting super-Earth orbiting the M3 dwarf TOI-1685

TOI-530b: a giant planet transiting an M-dwarf detected by TESS

TOI-674b: An oasis in the desert of exo-Neptunes transiting a nearby M dwarf

TOI-1201 b: A mini-Neptune transiting a bright and moderately young M dwarf


An Evaluation of Change Point Detection Algorithms

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection

On Matched Filtering for Statistical Change Point Detection

Monitoring Deforestation Using Multivariate Bayesian Online Changepoint Detection with Outliers

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series


Modeling stellar photometry with "brute force" methods

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

Constraining the distance to the North Polar Spur with Gaia DR2

Wide Twin Binaries are Extremely Eccentric: Evidence of Twin Binary Formation in Circumbinary Disks

Wide binaries from the H3 survey: the thick disc and halo have similar wide binary fractions

Evidence for C and Mg variations in the GD-1 stellar stream

Dynamical masses across the Hertzsprung-Russell diagram

Evidence for C, O, Al and Mg variations in the GD-1 stellar stream


The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

Interpreting Language Models with Contrastive Explanations

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

How BPE Affects Memorization in Transformers

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

Democratizing Neural Machine Translation with OPUS-MT

Domain-Specific Text Generation for Machine Translation

Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task

Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)

Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021


pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

International ACM SIGIR Conference on Research and Development in Information Retrieval

Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future

DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval

Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature

OpenMatch: An Open Source Library for Neu-IR Research

Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages

Zenodo (CERN European Organization for Nuclear Research)

Analyzing the Effectiveness of Listwise Reranking with Positional
  Invariance on Temporal Generalizability

How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context


Correlation Utilities and Two-point Estimation

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the halo occupation distribution model for emission line galaxies

Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO

Dark Energy Survey year 1 results: galaxy sample for BAO measurement

Do model emission line galaxies live in filaments at z ∼ 1?

Dark Energy Survey Year 3 results: galaxy sample for BAO measurement

Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys

Studying large-scale structure probes of modified gravity with COLA

Observing relativistic features in large-scale structure surveys - I. Multipoles of the power spectrum

Marked correlation functions in perturbation theory

Journal of Cosmology and Astroparticle Physics

UNITSIM-Galaxies: data release and clustering of emission-line galaxies


Tools for Plant Ecophysiology & Modeling


A unified framework for event-based video. Encoder/transcoder/decoder for ADΔER (Address, Decimation, Δt Event Representation) video streams.

An Asynchronous Intensity Representation for Framed and Event Video Sources

Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems


scisorseqr is an R-package for processing of single-cell long read data and analyzing differential isoform expression across any two conditions

A spatially resolved brain region- and cell type-specific isoform atlas of the postnatal mouse brain

Cell-type, single-cell, and spatial signatures of brain-region specific splicing in postnatal development


Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Towards a Robust Deep Neural Network in Texts: A Survey

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models


a Python implementation of proper image subtraction (Zackay, Ofek & Gal-Yam 2016, ApJ, 830, 27)

Searches after Gravitational Waves Using ARizona Observatories (SAGUARO): System Overview and First Results from Advanced LIGO/Virgo’s Third Observing Run

Searches after Gravitational Waves Using ARizona Observatories (SAGUARO): Observations and Analysis from Advanced LIGO/Virgo's Third Observing Run

Image Subtraction in Fourier Space

GW190814 follow-up with the optical telescope MeerLICHT

A Systematic Exploration of Kilonova Candidates from Neutron Star Mergers during the Third Gravitational-wave Observing Run


Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package

Hysupp: An Open-Source Hyperspectral Unmixing Python Package

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium


Astronomy (HI) extension for 3DSlicer (https://www.slicer.org/)

WALLABY early science – III. An H i study of the spiral galaxy NGC 1566

SlicerAstro: A 3-D interactive visual analytics tool for HI data

Finding faint H I structure in and around galaxies: Scraping the barrel

Understanding the human in the design of cyber-human discovery systems for data-driven astronomy

Measuring Galaxy Asymmetries in 3D

3-D interactive visualisation tools for HI spectral line imaging

Proceedings of the International Astronomical Union


Identification of Klebsiella capsule synthesis loci from whole genome data

Kaptive Web: User-Friendly Capsule and Lipopolysaccharide Serotype Prediction for Klebsiella Genomes

Identification of Acinetobacter baumannii loci for capsular polysaccharide (KL) and lipooligosaccharide outer core (OCL) synthesis in genome assemblies using curated reference databases compatible with Kaptive

Kaptive 2.0: updated capsule and lipopolysaccharide locus typing for the Klebsiella pneumoniae species complex

Emergence of ST11-K47 and ST11-K64 hypervirulent carbapenem-resistant Klebsiella pneumoniae in bacterial liver abscesses from China: a molecular, biological, and epidemiological study

Genomic dissection of Klebsiella pneumoniae infections in hospital patients reveals insights into an opportunistic pathogen

Molecular Characterization of Carbapenem Resistant Klebsiella pneumoniae and Klebsiella quasipneumoniae Isolated from Lebanon

The Occurence of Colistin-Resistant Hypervirulent Klebsiellapneumoniae in China

An update to the database for Acinetobacter baumannii capsular polysaccharide locus typing extends the extensive and diverse repertoire of genes found at and outside the K locus

Carbapenemase-Producing Klebsiella pneumoniae From Transplanted Patients in Brazil: Phylogeny, Resistome, Virulome and Mobile Genetic Elements Harboring blaKPC–2 or blaNDM–1


Fast interstellar dust extinction laws in Python

A Large Fraction of Hydrogen-rich Supernova Progenitors Experience Elevated Mass Loss Shortly Prior to Explosion

The Koala: A Fast Blue Optical Transient with Luminous Radio Emission from a Starburst Dwarf Galaxy at z = 0.27

extinction v0.3.0

Evidence for Late-stage Eruptive Mass Loss in the Progenitor to SN2018gep, a Broad-lined Ic Supernova: Pre-explosion Emission and a Rapidly Rising Luminous Transient

SN 2017ein and the Possible First Identification of a Type Ic Supernova Progenitor

Nebular spectra of 111 Type Ia supernovae disfavour single-degenerate progenitors

A Search for Extragalactic Fast Blue Optical Transients in ZTF and the Rate of AT2018cow-like Transients

A detailed spectroscopic study of Tidal Disruption Events

SN 2016iet: The Pulsational or Pair Instability Explosion of a Low-metallicity Massive CO Core Embedded in a Dense Hydrogen-poor Circumstellar Medium

Precision angular diameters for 16 southern stars with VLTI/PIONIER


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

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

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

No-Press Diplomacy from Scratch


An extension of XGBoost to probabilistic modelling

XGBoostLSS -- An extension of XGBoost to probabilistic forecasting

Distributional Gradient Boosting Machines

Multi-Target XGBoostLSS Regression


ChatGPT DAN, Jailbreaks prompt

From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Trapping LLM Hallucinations Using Tagged Context Prompts

The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?

Data Contamination Through the Lens of Time

A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models

Whispers in the Machine: Confidentiality in LLM-integrated Systems

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation

A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space
  Analysis

Generative AI in Cybersecurity


Prospective environmental and economic life cycle assessment of vehicles made blazing fast.


An open source drift diffusion code based in MATLAB for simulating semiconductor devices with mixed ionic-electronic conducting materials.

Ionic-to-electronic current amplification in hybrid perovskite solar cells: ionically gated transistor-interface circuit model explains hysteresis and impedance of mixed conducting devices

Identifying Dominant Recombination Mechanisms in Perovskite Solar Cells by Measuring the Transient Ideality Factor

Dynamics of Internal Electric Field Screening in Hybrid Perovskite Solar Cells Probed Using Electroabsorption

Ionic Field Screening in MAPbBr3 Crystals Revealed from Remnant Sensitivity in X-ray Detection.

Correction to: Driftfusion: an open source code for simulating ordered semiconductor devices with mixed ionic-electronic conducting materials in one dimension

Is it possible for a perovskite p-n homojunction to persist in the presence of mobile ionic charge?


Webpage for the DSTC8 - NOESIS II: Predicting Responses

Online Conversation Disentanglement with Pointer Networks

On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search

Conference of the European Chapter of the Association for Computational Linguistics

Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?


IUCN Red List API Client


Optical Tweezers Toolbox (Version 1)

Optical Tweezers Exploring Neuroscience

Frontiers in bioengineering and biotechnology

Optical Trapping in a Dark Focus

Orientation of swimming cells with annular beam optical tweezers

OTSLM toolbox for Structured Light Methods

Inert Shell Coating for Enhanced Laser Refrigeration of Nanoparticles: Application in Levitated Optomechanics

Enhanced Signal-to-Noise and Fast Calibration of Optical Tweezers Using Single Trapping Events


Using optical flow & machine learning to predict PV yield


A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Conference on Computer and Communications Security

Random Partitioning Forest for Point-Wise and Collective Anomaly Detection—Application to Network Intrusion Detection

IEEE Transactions on Information Forensics and Security

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

You do (not) belong here

Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS

Real-Time Anomaly Detection with Subspace Periodic Clustering Approach


Official PyTorch implementation of Contrastive Learning of Musical Representations

Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning

Proceedings of the 16th ACM Conference on Recommender Systems

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


R Package for Single-Cell Dataset Processing and Visualization

Single-cell transcriptomics defines heterogeneity of epicardial cells and fibroblasts within the infarcted murine heart

Expression and regulatory characteristics of peripheral blood immune cells in primary Sjögren’s syndrome patients using single-cell transcriptomic

Single-cell evaluation reveals shifts in the tumor-immune niches that shape and maintain aggressive lesions in the breast

An integrative analysis of single-cell and bulk transcriptome and bidirectional mendelian randomization analysis identified C1Q as a novel stimulated risk gene for Atherosclerosis

Exploring the Role of Neutrophil-Related Genes in Osteosarcoma via an Integrative Analysis of Single-Cell and Bulk Transcriptome


Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction


normalize the intensities of various MR image modalities

Evaluating the Impact of Intensity Normalization on MR Image Synthesis

Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features

Harmonization Strategies in Multicenter MRI-Based Radiomics

Radiomics-Based Detection of Radionecrosis Using Harmonized Multiparametric MRI


[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network

Region-Adaptive Deformable Network for Image Quality Assessment

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment


replication package for  From Commit Message Generation to History-Aware Commit Message Completion, ASE 2023

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Automating Code Review Activities by Large-Scale Pre-training

RACE: Retrieval-Augmented Commit Message Generation


Riemannian geometry and automatic differentiation for optimization problems of quantum physics and quantum technologies

QGOpt: Riemannian optimization for quantum technologies

Classification of the Fashion-MNIST Dataset on a Quantum Computer


[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks


L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion (CVPRW 2020)

UID2021: An Underwater Image Dataset for Evaluation of No-Reference Quality Assessment Metrics

Towards More Efficient EfficientDets and Real-Time Marine Debris Detection


CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size

Improving Neural Network Robustness via Persistency of Excitation

ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM


Urban Multi-scale Environmental Predictor


Tools to analyze Dip-C (or other 3C/Hi-C) data

Lifelong restructuring of 3D genome architecture in cerebellar granule cells

Simultaneous single-cell three-dimensional genome and gene expression profiling uncovers dynamic enhancer connectivity underlying olfactory receptor choice

Homeotic Regulation of Olfactory Receptor Choice via NFI-dependent Heterochromatic Silencing and Genomic Compartmentalization

RNA-mediated symmetry breaking enables singular olfactory receptor choice

Opposing, spatially-determined epigenetic forces impose restrictions on stochastic olfactory receptor choice

Determining the 3D genome structure of a single mammalian cell with Dip-C


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

Invariant Risk Minimization Games

Empirical or Invariant Risk Minimization? A Sample Complexity Perspective

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

Treatment Effect Estimation using Invariant Risk Minimization


GANs with spectral normalization and projection discriminator

Spectral Normalization for Generative Adversarial Networks

Training Generative Adversarial Networks with Limited Data

cGANs with Projection Discriminator

Image Generation From Small Datasets via Batch Statistics Adaptation

A Large-Scale Study on Regularization and Normalization in GANs

Discriminator optimal transport

On the Evaluation of Conditional GANs

TinyGAN: Distilling BigGAN for Conditional Image Generation

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

BIGRoC: Boosting Image Generation via a Robust Classifier


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

MS2: Multi-Document Summarization of Medical Studies

Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature

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

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models


[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering


Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Compound Probabilistic Context-Free Grammars for Grammar Induction

Can RNNs learn Recursive Nested Subject-Verb Agreements?

Ensemble Distillation for Unsupervised Constituency Parsing

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

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


The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper

SQuAD: 100,000+ Questions for Machine Comprehension of Text

SCROLLS: Standardized CompaRison Over Long Language Sequences

Efficient Long-Text Understanding with Short-Text Models

Enhancing text comprehension for Question Answering with Contrastive Learning

Workshop on Representation Learning for NLP


A toolkit for Vietnamese word segmentation

A hybrid approach to Vietnamese word segmentation

Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies

A Feature-Rich Vietnamese Named-Entity Recognition Model

Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture


A tensorflow implementation of RippleNet

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

International Conference on Information and Knowledge Management

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

User Response Prediction in Online Advertising

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology


An implementation of the time dependent variational principle for matrix product states

Quantum thermalization dynamics with Matrix-Product States

Tensor Train decomposition on TensorFlow (T3F)

Open source Matrix Product States: Opening ways to simulate entangled many-body quantum systems in one dimension

The tensor network theory library

Journal of Statistical Mechanics: Theory and Experiment

Matrix product states and the non-Abelian rotor model

Quantum phases of a chain of strongly interacting anyons

A Monte Carlo Time-Dependent Variational Principle

Microscopic Models for Fusion Categories

Znclock models and chains ofso(n)2non-Abelian anyons: symmetries, integrable points and low energy properties

Implementing Entangled States on a Quantum Computer


PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search

PyBADS: Fast and robust black-box optimization in Python

Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo


Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer

Model compression as constrained optimization, with application to neural nets. Part II: quantization

Model compression as constrained optimization, with application to neural nets. Part I: general framework

Model compression as constrained optimization, with application to neural nets. Part V: combining compressions

LC: A Flexible, Extensible Open-Source Toolkit for Model Compression

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

A flexible, extensible software framework for model compression based on the LC algorithm


A PyTorch Implementation of japanese chatbot using BERT and Transformer's decoder

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Another Diversity-Promoting Objective Function for Neural Dialogue Generation


This repo contains a set of neural transducer, e.g. sequence-to-sequence model, focusing on character-level tasks.

Applying the Transformer to Character-level Transduction

Exact Hard Monotonic Attention for Character-Level Transduction

Hard Non-Monotonic Attention for Character-Level Transduction

Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models

Morphological Irregularity Correlates with Frequency

Differentiable Generative Phonology

Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems


PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Glow: Generative Flow with Invertible 1x1 Convolutions

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow


Diffusion Models Beat GANs on Image Synthesis

Elucidating the Design Space of Diffusion-Based Generative Models

Flow Matching for Generative Modeling

Diffusion Posterior Sampling for General Noisy Inverse Problems

Label-Efficient Semantic Segmentation with Diffusion Models

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Diffusion Models for Adversarial Purification

Fast Sampling of Diffusion Models with Exponential Integrator

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction


Graph Pattern Matching in GQL and SQL/PGQ

Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases

Work-Efficient Query Evaluation with PRAMs

A Unifying Perspective on Succinct Data Representations

On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages

Proceedings of the ACM on Management of Data

Conjunctive Queries for Logic-Based Information Extraction


Open source Li-ion data management and modelling software


Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

EXPLORING ANTICORRELATIONS AND LIGHT ELEMENT VARIATIONS IN NORTHERN GLOBULAR CLUSTERS OBSERVED BY THE APOGEE SURVEY

Characterization and photometric performance of the Hyper Suprime-Cam Software Pipeline

Publications of the Astronomical Society of Japan

Evidence for a Vast Prograde Stellar Stream in the Solar Vicinity

CLEAR EVIDENCE FOR THE PRESENCE OF SECOND-GENERATION ASYMPTOTIC GIANT BRANCH STARS IN METAL-POOR GALACTIC GLOBULAR CLUSTERS

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

Addressing Systematics in the Traceback Age of the β Pictoris Moving Group

Mixture Models in Astronomy

Tracing the Origin of Moving Groups. III. Detecting Moving Groups in LAMOST DR7

Young open cluster IC 4996 and its vicinity: multicolor photometry and Gaia DR2 astrometry


SGPT: GPT Sentence Embeddings for Semantic Search

Generative Representational Instruction Tuning

Neural Embeddings for Text

Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical Records


Creative Commons Attribution Share Alike 4.0 International

We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title  Unsupervised Quality Estimation for Neural Machine Translation

Are we Estimating or Guesstimating Translation Quality?

Meeting of the Association for Computational Linguistics

Noising Scheme for Data Augmentation in Automatic Post-Editing

Empirical Methods in Natural Language Processing

POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation


中文法律LLaMA (LLaMA for Chinese legel domain)

Lawyer LLaMA Technical Report

Continual Learning of Large Language Models: A Comprehensive Survey

Large Language Models in Law: A Survey

AviationGPT: A Large Language Model for the Aviation Domain

Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based
  Question Answering

Exploring the Nexus of Large Language Models and Legal Systems: A Short
  Survey

Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model


Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

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

Hierarchical VAEs Know What They Don't Know

Variational Neural Cellular Automata

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior


Documentation assets for Quorum

Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform

Trade-offs between Distributed Ledger Technology Characteristics

Blockchain Enabled Industrial Internet of Things Technology

IEEE Transactions on Computational Social Systems

IDMoB: IoT Data Marketplace on Blockchain

Distributed Ledger Technology Review and Decentralized Applications Development Guidelines

From Byzantine Replication to Blockchain: Consensus is only the Beginning

Novel and Secure Blockchain Framework for Health Applications in IoT

The Nubo Virtual Services Marketplace

Design and Evaluation of Smart-Contract-based System Operations for Permissioned Blockchain-based Systems

Tubu-io Decentralized Application Development & Test Workbench


A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer

Instruction Tuning for Large Language Models: A Survey

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness

JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

Language Model Inversion

XGen-7B Technical Report

Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models

Comprehensive Assessment of Toxicity in ChatGPT

OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs


Code for ML Doctor

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Lessons Learned: Defending Against Property Inference Attacks

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

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML


This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.

Estimating marine plastic pollution from COVID-19 face masks in coastal regions

Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

The psychosocial impact of the COVID-19 pandemic on changes in smoking behavior: Evidence from a nationwide survey in the UK

Modelling the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic

Inequality-Related Health and Social Factors and Their Impact on Well-Being during the COVID-19 Pandemic: Findings from a National Survey in the UK

International journal of environmental research and public health

Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

medRxiv : the preprint server for health sciences

Improving vaccination intent among skeptics through confidence in governments' handling of the COVID-19 pandemic

Lessons from COVID-19 for rescalable data collection

A cross-national study of multilevel determinants on public fully vaccination against COVID-19

Associations Between Compliance With Non-pharmaceutical Interventions and Social-distancing Policies in Korea During the COVID-19 Pandemic

Journal of preventive medicine and public health = Yebang Uihakhoe chi


An open information extraction system that provides compact extractions

MinIE: Minimizing Facts in Open Information Extraction

OPIEC: An Open Information Extraction Corpus

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text


Generative Flow Networks

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Trajectory balance: Improved credit assignment in GFlowNets

Learning GFlowNets from partial episodes for improved convergence and stability

Better Training of GFlowNets with Local Credit and Incomplete Trajectories

Generative Augmented Flow Networks

Stochastic Generative Flow Networks

Pre-Training and Fine-Tuning Generative Flow Networks

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned
  GFlowNets

Bifurcated Generative Flow Networks


[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Label Efficient Visual Abstractions for Autonomous Driving

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving

Integrating Modular Pipelines with End-to-End Learning: A Hybrid Approach for Robust and Reliable Autonomous Driving Systems


Table structure recognition dataset of the paper: Complicated Table Structure Recognition

Image-based table recognition: data, model, and evaluation

Complicated Table Structure Recognition

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

GFTE: Graph-based Financial Table Extraction

Deep learning for table detection and structure recognition: A survey

Business Document Information Extraction: Towards Practical Benchmarks


Hierarchical Question-Image Co-Attention for Visual Question Answering

The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question
  Answering


Accurate Species Tree EstimatoR: a family of optimation algorithms for species tree inference (including ASTRAL & CASTER)

ASTRAL-Pro 2: ultrafast species tree reconstruction from multi-copy gene family trees

Phylogenomic branch length estimation using quartets

Phylogenomic Coalescent Analyses of Avian Retroelements Infer Zero-Length Branches at the Base of Neoaves, Emergent Support for Controversial Clades, and Ancient Introgressive Hybridization in Afroaves


A repository of pretty cool datasets that I collected for network science and machine learning research.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings

Graph Distillation with Eigenbasis Matching

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation

Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction

NetInfoF Framework: Measuring and Exploiting Network Usable Information


A bounded-suboptimal solver for Multi-Agent Path Finding

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding

LayeredMAPF: a decomposition of MAPF instance without compromising
  solvability


This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Character-Level Language Modeling with Deeper Self-Attention

Code Prediction by Feeding Trees to Transformers


[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Variational Graph Auto-Encoders

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

Learning Invariant Molecular Representation in Latent Discrete Space


RETFound - A foundation model for retinal image

A foundation model for generalizable disease detection from retinal images

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging

RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis


Peregrine: Fast Genome Assembler Using SHIMMER Index

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

Human Genome Assembly in 100 Minutes


ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings

Smoothed Contrastive Learning for Unsupervised Sentence Embedding

DistilCSE: Effective Knowledge Distillation For Contrastive Sentence Embeddings


An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

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

Extractive Summarization of Long Documents by Combining Global and Local Context

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

Pre-training and Evaluating Transformer-based Language Models for Icelandic

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Summarization Beyond News: The Automatically Acquired Fandom Corpora

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

IceSum: An Icelandic Text Summarization Corpus

North American Chapter of the Association for Computational Linguistics


Formal Concept Analysis with Python

A survey of ontology learning techniques and applications

Database : the journal of biological databases and curation

Discrete Signal Processing on Meet/Join Lattices