Optical and SAR pairing dataset

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Advances and Challenges in Multimodal Remote Sensing Image Registration

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework


[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

GFNet: Global Filter Networks for Visual Recognition

IEEE transactions on pattern analysis and machine intelligence

SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer


Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

Deep Learning in Single-Cell Analysis

scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration


[ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

Mitigating Open-Vocabulary Caption Hallucinations


An reimplement version of inpainting model in  Free-Form Image Inpainting with Gated Convolution

Generative Image Inpainting with Contextual Attention

A Benchmark for Inpainting of Clothing Images with Irregular Holes


JavaScript RISC-V ISA Simulator. Boots linux in a web-browser.


[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

CMamba: Channel Correlation Enhanced State Space Models for Multivariate
  Time Series Forecasting


Cell clustering for spatial transcriptomics data with graph neural network

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Deep Learning in Single-Cell Analysis

A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal


Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Efficient Encoding of Cost Optimal Delete-Free Planning as SAT

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Safe Learning of PDDL Domains with Conditional Effects -- Extended
  Version


ALLSorts is a B-Cell Acute Lymphoblastic Leukemia (B-ALL) subtype classifier. From gene expression counts to over 18 subtypes.

ALLSorts: an RNA-Seq subtype classifier for B-cell acute lymphoblastic leukemia

Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia

ALLSorts: a RNA-Seq classifier for B-Cell Acute Lymphoblastic Leukemia

Diagnostic Utility of Multimodal Genomic Profiling for Molecular Classification and MRD Assessment in Adult B-Cell Acute Lymphoblastic Leukemia


Genomic analysis of a parasite invasion: Colonization of the Americas by the blood fluke Schistosoma mansoni

De novo post-SELEX optimization of a G-quadruplex DNA aptamer binding to marine toxin gonyautoxin 1/4

Microperimetry Hill of Vision and Volumetric Measures of Retinal Sensitivity

Translational vision science & technology

When is variable importance estimation in species distribution modelling affected by spatial correlation?

Osmolality as a Novel Mechanism Explaining Diet Effects on the Outcome of Infection with a Blood Parasite

Automated Mapping of Water Table for Cranberry Subirrigation Management: Comparison of Three Spatial Interpolation Methods

Migration ecology of western gray catbirds

MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation

Connecting SDSS central galaxies to their host haloes using total satellite luminosity

Monthly Notices of the Royal Astronomical Society

Genome-Wide Identification of Loci Associated With Phenology-Related Traits and Their Adaptive Variations in a Highbush Blueberry Collection


Generate PSF super-tabulated models

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

Multi-CCD modelling of the point spread function

HAL (Le Centre pour la Communication Scientifique Directe)

Rethinking data-driven point spread function modeling with a differentiable optical model

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences


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


The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Score-Based Generative Modeling through Stochastic Differential Equations

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Fairness for Image Generation with Uncertain Sensitive Attributes

Entropic Neural Optimal Transport via Diffusion Processes

Benchmarking the Fairness of Image Upsampling Methods


[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis


Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

On Calibration of Modern Neural Networks

Verified Uncertainty Calibration

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Distribution-Free Statistical Dispersion Control for Societal Applications

Hidden Heterogeneity: When to Choose Similarity-Based Calibration


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


FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Transformers in Time Series: A Survey

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

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

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

Transformers versus LSTMs for electronic trading


Signature verification package, for learning representations from signature data, training user-dependent classifiers.

Learning features for offline handwritten signature verification using deep convolutional neural networks

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE Transactions on Information Forensics and Security

Meta-learning for fast classifier adaptation to new users of Signature Verification systems


Fast and Accurate Classification of Sequences using Bloom filters

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters

CoMeta: Classification of Metagenomes Using k-mers


Convert SNPs in VCF format to PHYLIP, NEXUS, binary NEXUS, or FASTA alignments for phylogenetic analysis

Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum

Estimating uncertainty in divergence times among three-spined stickleback clades using the multispecies coalescent

Genomic evidence of contemporary hybridization between Schistosoma species

Between a Rock and a Hard Polytomy: Phylogenomics of the Rock-Dwelling Mbuna Cichlids of Lake Malaŵi

Genome Size Variation and Evolution Driven by Transposable Elements in the Genus Oryza

Utilizing museomics to trace the complex history and species boundaries in an avian-study system of conservation concern

Phylogenomic Analyses Show Repeated Evolution of Hypertrophied Lips Among Lake Malawi Cichlid Fishes

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

The evolutionary patterns of barley pericentromeric chromosome regions, as shaped by linkage disequilibrium and domestication

Zenodo (CERN European Organization for Nuclear Research)

Comparative Genomics Analysis Demonstrated a Link Between Staphylococci Isolated From Different Sources: A Possible Public Health Risk


Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

Transferability Estimation using Bhattacharyya Class Separability

On-target Adaptation

Unleashing the power of Neural Collapse for Transferability Estimation


Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

A context-aware citation recommendation model with BERT and graph convolutional networks

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts

Meeting of the Association for Computational Linguistics

Towards Explainable Fact Checking

Back to the Future -- Sequential Alignment of Text Representations


Biophysics-based prediction of LFPs from point-neuron networks

Hybrid scheme for modeling local field potentials from point-neuron networks

Estimation of neural network model parameters from local field potentials (LFPs)

Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space

Metamodelling of a two-population spiking neural network


Open source release of the evaluation benchmark suite described in  "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Class-Imbalanced Semi-Supervised Learning

Don't fear the unlabelled: safe semi-supervised learning via simple debiasing


A GPU based FX correlator for radio astronomy

Digital Signal Processing using Stream High Performance Computing: A 512-input Broadband Correlator for Radio Astronomy

Optimizing performance-per-watt on GPUs in high performance computing

Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

Commissioning the H i Observing Mode of the Beam Former for the Cryogenically Cooled Focal L-band Array for the GBT (FLAG)

COSMIC: An Ethernet-based Commensal, Multimode Digital Backend on the Karl G. Jansky Very Large Array for the Search for Extraterrestrial Intelligence

A study of two FRBs with low polarization fractions localized with the MeerTRAP transient buffer system

Instrumentation for Radio Interferometers with Antennas on a Regular Grid


Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

ProMP: Proximal Meta-Policy Search

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

MAME : Model-Agnostic Meta-Exploration

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

Meta-Reinforcement Learning in Broad and Non-Parametric Environments

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation


Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce


Guide to p4lang repositories and some other public info about P4

A survey on data plane programming with P4: Fundamentals, advances, and applied research

P4K: A Formal Semantics of P4 and Applications

Towards Software-Defined Delay Tolerant Networks


all methods related to Enterobase

The EnteroBase user's guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity

Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food-borne microorganisms

EFSA journal. European Food Safety Authority

Case-control investigation of invasive Salmonella disease in Malawi reveals no evidence of environmental or animal transmission of invasive strains, and supports human to human transmission

VPsero: Rapid Serotyping of Vibrio parahaemolyticus Using Serogroup-Specific Genes Based on Whole-Genome Sequencing Data


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.

A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

Importance Nested Sampling and the MultiNest Algorithm

Retrieving scattering clouds and disequilibrium chemistry in the atmosphere of HR 8799e

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

NEOMOD: A New Orbital Distribution Model for Near-Earth Objects

Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey

Weighing cosmic structures with clusters of galaxies and the intergalactic medium

Geminga SNR: Possible Candidate of the Local Cosmic-Ray Factory

Self-calibration and robust propagation of photometric redshift distribution uncertainties in weak gravitational lensing


Laia: A deep learning toolkit for HTR based on Torch

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition

Character-based handwritten text transcription with attention networks

Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes

Measuring Human Perception to Improve Handwritten Document Transcription

DTrOCR: Decoder-only Transformer for Optical Character Recognition

A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images

CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset


Regularized kernel canonical correlation analysis in Python

A technical review of canonical correlation analysis for neuroscience applications

Structure and flexibility in cortical representations of odour space

Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging

Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis


Benchmark of Nearest Neighbor Search on High Dimensional Data

Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

IEEE Transactions on Knowledge and Data Engineering

Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement


Tensor Network Learning with PyTorch

Expressive power of recurrent neural networks

Tensor Methods in Computer Vision and Deep Learning

Tensor Train decomposition on TensorFlow (T3F)

Tensor Regression

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

tntorch: Tensor Network Learning with PyTorch

Tensor Networks Meet Neural Networks: A Survey and Future Perspectives


High-performance implementation of SLIM-based approaches for Top-N recommendation

Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks

ACM Transactions on Knowledge Discovery from Data

Local Collaborative Autoencoders

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems


An Internet scale, blazing fast SSL/TLS scanner ( non-blocking, event-driven )

Exploring HTTPS Security Inconsistencies: A Cross-Regional Perspective

Towards Forward Secure Internet Traffic

Does "www." Mean Better Transport Layer Security?

A Metapolicy Framework for Enhancing Domain Expressiveness on the Internet


BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

AutoML: A survey of the state-of-the-art

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

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


MilliCar - An ns-3 Module for mmWave NR V2X Networks

Toward Standardization of Millimeter-Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation

MilliCar -- An ns-3 Module for mmWave NR V2X Networks

NR V2X Communications at Millimeter Waves: An End-to-End Performance Evaluation


Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls

An open resource for accurately benchmarking small variant and reference calls

A reference human genome dataset of the BGISEQ-500 sequencer

Benchmarking challenging small variants with linked and long reads

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis

Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease

Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

Best Practices for Benchmarking Germline Small Variant Calls in Human Genomes

Tools for annotation and comparison of structural variation


Effects of Response Option Order on Likert-Type Psychometric Properties and Reactions

Educational and psychological measurement

Psychometric Properties of the Chinese Version of the Organization Big Five Scale

Brief Sensations Seeking Scale (BSSS): Validity Evidence in Mexican Adolescents

International journal of environmental research and public health


URDF models of humans created to perform human robot interaction experiments.

Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics

Whole-Body Human Kinematics Estimation using Dynamical Inverse Kinematics and Contact-Aided Lie Group Kalman Filter

SAQIEL: Ultra-Light and Safe Manipulator With Passive 3D Wire Alignment Mechanism

Enabling Human-Robot Collaboration via Holistic Human Perception and Partner-Aware Control


Package for local graph clustering

Flow-Based Local Graph Clustering with Better Seed Set Inclusion

p-Norm Flow Diffusion for Local Graph Clustering

Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance

Targeted pandemic containment through identifying local contact network bottlenecks

A Short Introduction to Local Graph Clustering Methods and Software


Julia package for ecosystem simulation

Dynamic virtual ecosystems as a tool for detecting large-scale responses of biodiversity to environmental and land-use change


Python wrapper for the IBM RXN for Chemistry API

ChemCrow: Augmenting large-language models with chemistry tools

Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2

Machine Learning: Science and Technology

Trends in Deep Learning for Property-driven Drug Design

Language models in molecular discovery

PaccMann^RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models

Developing BioNavi for Hybrid Retrosynthesis Planning


A GPipe implementation in PyTorch

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models

Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Evolving Curricula with Regret-Based Environment Design

Improving Intrinsic Exploration with Language Abstractions

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

Exploration via Elliptical Episodic Bonuses

Grounding Aleatoric Uncertainty for Unsupervised Environment Design

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs

Generalization to New Sequential Decision Making Tasks with In-Context Learning

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning


Python IP address to Autonomous System Number lookup module. (Supports fast local lookups, and historical lookups using archived BGP dumps.)

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

The Effect of DNS on Tor's Anonymity

Towards Better Understanding of Bitcoin Unreachable Peers

The Closed Resolver Project: Measuring the Deployment of Inbound Source Address Validation

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

On Blowback Traffic on the Internet


A library and collection of scripts to work with Illumina paired-end data (for CASAVA 1.7+ pipeline).

Minimum entropy decomposition: Unsupervised oligotyping for sensitive partitioning of high-throughput marker gene sequences

Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes

Recurring patterns in bacterioplankton dynamics during coastal spring algae blooms

A Filtering Method to Generate High Quality Short Reads Using Illumina Paired-End Technology

Linking pangenomes and metagenomes: the Prochlorococcus metapangenome

Sewage Reflects the Microbiomes of Human Populations

A single genus in the gut microbiome reflects host preference and specificity

The premature infant gut microbiome during the first 6 weeks of life differs based on gestational maturity at birth

Single-amino acid variants reveal evolutionary processes that shape the biogeography of a global SAR11 subclade

Segregation of age-related skin microbiome characteristics by functionality


A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

USB: A Unified Semi-supervised Learning Benchmark for Classification

Rethinking Semi-supervised Learning with Language Models

Don't fear the unlabelled: safe semi-supervised learning via simple debiasing

Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning

SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning


The Fast Downward domain-independent classical planning system

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Understanding the planning of LLM agents: A survey

Grounding Classical Task Planners via Vision-Language Models

MACQ: A Holistic View of Model Acquisition Techniques

TwoStep: Multi-agent Task Planning using Classical Planners and Large
  Language Models

Planning as Theorem Proving with Heuristics

Exploring and Benchmarking the Planning Capabilities of Large Language Models


Smart Contract Weakness Classification and Test Cases

A Security Reference Architecture for Blockchains

MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract

International Symposium on Software Reliability Engineering

Security Threat Mitigation for Smart Contracts: A Comprehensive Survey

Mutation testing of smart contracts at scale

An Empirical Study Into the Success of Listed Smart Contracts in Ethereum

Gas limit aware mutation testing of smart contracts at scale.

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration


OP2: open-source framework for the execution of unstructured grid applications on clusters of GPUs or multi-core CPUs

Acceleration of a Full-Scale Industrial CFD Application with OP2

IEEE Transactions on Parallel and Distributed Systems

The VOLNA-OP2 tsunami code (version 1.5)

Locality Optimized Unstructured Mesh Algorithms on GPUs

Comparison of Parallelisation Approaches, Languages, and Compilers for Unstructured Mesh Algorithms on GPUs


Using VideoBERT to tackle video prediction

VideoBERT: A Joint Model for Video and Language Representation Learning

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

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


Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

State of the Art of Quality Assessment of Facial Images

Double Trouble? Impact and Detection of Duplicates in Face Image Datasets


The Image Registration Toolkit

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Brain Extraction Using Label Propagation and Group Agreement: Pincram

Patterns of grey matter loss associated with motor subscores in early Parkinson's disease

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data

FetalGAN: Automated Segmentation of Fetal Functional Brain MRI Using Deep Generative Adversarial Learning and Multi-Scale 3D U-Net


Fairness in Machine Learning: A Survey

Fairness is not static: deeper understanding of long term fairness via simulation studies

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Algorithmic fairness datasets: the story so far

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

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


A Perl/R pipeline for plotting metagenes

Direct RNA sequencing enables m6A detection in endogenous transcript isoforms at base-specific resolution.

Targeting the m6A RNA modification pathway blocks SARS-CoV-2 and HCoV-OC43 replication

N6‐methyladenosine modification of CENPF mRNA facilitates gastric cancer metastasis via regulating FAK nuclear export


PokéMon like game on iOS with Location Based Service.

ENORM: A Framework For Edge NOde Resource Management

Feasibility of Fog Computing

DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments

Edge-as-a-Service: Towards Distributed Cloud Architectures

Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning


Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling


Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation


Tablet is a lightweight, high-performance graphical viewer for next generation sequence assemblies and alignments.

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Phenotypic and genetic alterations of Burkholderia pseudomallei in patients during relapse and persistent infections


Learning a Unified Classifier Incrementally via Rebalancing

CL2R: Compatible Lifelong Learning Representations

ACM Transactions on Multimedia Computing, Communications, and Applications

Online Continual Learning via Logit Adjusted Softmax


Open-vocabulary Semantic Segmentation

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models


R script for the covid balf data analysis

Mapping single-cell data to reference atlases by transfer learning

scCODA is a Bayesian model for compositional single-cell data analysis

Synthetic lethality-based prediction of anti-SARS-CoV-2 targets

Expression profiles of respiratory V-ATPase and calprotectin in SARS-CoV-2 infection


Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

From statistical methods to deep learning, automatic keyphrase prediction: A survey

Diverse Keyphrase Generation with Neural Unlikelihood Training

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference


Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

XLM-T: A Multilingual Language Model Toolkit for Twitter.

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification

Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models

Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


Domain Generalization with MixStyle (ICLR'21)

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Domain Generalization: A Survey

Domain Generalization with MixStyle

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

MixStyle Neural Networks for Domain Generalization and Adaptation

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

On-Device Domain Generalization

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition


Code for Which Tasks Should Be Learned Together in Multi-task Learning?

Efficiently Identifying Task Groupings for Multi-Task Learning

Measuring and Harnessing Transference in Multi-Task Learning

Smart Multi-tenant Federated Learning


Automates running of OrthoMCL software from http://orthomcl.org/common/downloads/software/v2.0/

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

ShadowCaster: Compositional Methods under the Shadow of Phylogenetic Models to Detect Horizontal Gene Transfers in Prokaryotes

High-quality Cymbidium mannii genome and multifaceted regulation of crassulacean acid metabolism in epiphytes

Evolutionary history of two evergreen Rhododendron species as revealed by chromosome-level genome assembly

Comparative genomics reveals putative evidence for high-elevation adaptation in the American pika (Ochotona princeps)


Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Equivariant Contrastive Learning

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

ESCL: Equivariant Self-Contrastive Learning for Sentence Representations


Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

SEGA: Instructing Text-to-Image Models using Semantic Guidance

The Stable Artist: Steering Semantics in Diffusion Latent Space

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Semantic Guidance Tuning for Text-To-Image Diffusion Models


Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

International Conference on Learning Representations

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

CMamba: Channel Correlation Enhanced State Space Models for Multivariate
  Time Series Forecasting


OpenFedLLM: Training Large Language Models on Decentralized Private Data
  via Federated Learning

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare


GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

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

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural
  Language

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction

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

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery


Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support


Repository for Frequency Word List Generator and processed files

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora

Expectations over Unspoken Alternatives Predict Pragmatic Inferences

SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment

International Workshop on Semantic Evaluation

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

Analyze the Usage of Legal Definitions in Indonesian Regulation Using Text Mining Case Study: Treasury and Budget Law

An automated approach to mitigate transcription errors in braille texts for the Portuguese language

Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context

Enhancing Pre-trained Language Model with Lexical Simplification


Data-driven Network-based Bayesian Inference of Drivers

Large-scale genomic study reveals robust activation of the immune system following advanced Inner Engineering meditation retreat

Akt Inhibition Is Associated With Favorable Immune Profile Changes Within the Tumor Microenvironment of Hormone Receptor Positive, HER2 Negative Breast Cancer

Genome-wide methylation analysis reveals differentially methylated CpG sites and altered expression of heart development-associated genes in fetuses with cardiac defects

Transcriptional Networks Identify BRPF1 as a Potential Drug Target Based on Inflammatory Signature in Primary Lower-Grade Gliomas

Combination of Ribociclib and Gemcitabine for the Treatment of Medulloblastoma


A dotplot generator for large chromosomes

Ultra-fast genome comparison for large-scale genomic experiments

Robertsonian Fusion and Centromere Repositioning Contributed to the Formation of Satellite-free Centromeres During the Evolution of Zebras

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata


Visual Room Rearrangement

Simple but Effective: CLIP Embeddings for Embodied AI

Visual Room Rearrangement

TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors


Inference of couplings in proteins and RNAs from sequence variation

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

3D RNA and functional interactions from evolutionary couplings

Antiparallel protocadherin homodimers use distinct affinity- and specificity-mediating regions in cadherin repeats 1-4

Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling

Molecular evolution of HIV-1 integrase during the 20 years prior to the first approval of integrase inhibitors


SAFE: Self-Attentive Function Embeddings for binary similarity

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Semantic-aware Binary Code Representation with BERT

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

UniASM: Binary Code Similarity Detection without Fine-tuning

FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods


Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Demystifying the Transferability of Adversarial Attacks in Computer Networks

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study

Learning Strategies for Sensitive Content Detection

Zero-shot Visual Commonsense Immorality Prediction

Moderating Illicit Online Image Promotion for Unsafe User-Generated
  Content Games Using Large Vision-Language Models


An easy to use tool for cryptanalysis of symmetric primitives based on SMT/SAT solvers.

Improved Rectangle Attacks on SKINNY and CRAFT

IACR Transactions on Symmetric Cryptology

CDCL(Crypto) SAT Solvers for Cryptanalysis

A bit-vector differential model for the modular addition by a constant and its applications to differential and impossible-differential cryptanalysis

Characteristic automated search of cryptographic algorithms for distinguishing attacks (CASCADA)

Finding Collisions for Round-Reduced Romulus-H


A collection of offline reinforcement learning algorithms.

MOPO: Model-based Offline Policy Optimization

COMBO: Conservative Offline Model-Based Policy Optimization

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning

State Regularized Policy Optimization on Data with Dynamics Shift

Efficient Offline Policy Optimization with a Learned Model


Segment-Anything + 3D. Let's lift anything to 3D.

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Black-box Targeted Adversarial Attack on Segment Anything (SAM)

Segment Anything Meets Universal Adversarial Perturbation


Robust and fast topic models with sentence-transformers.

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Top2Vec: Distributed Representations of Topics

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


Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

Spectral neural approximations for models of transcriptional dynamics

Theory of photonic crystal polaritons in periodically patterned multilayer waveguides

Pitfalls of machine learning models for protein-protein interactions

Geographical and economic influences on neuroimaging modality choice

Evolution and diversification of the momilactone biosynthetic gene cluster in the genusOryza


Julia package for finding the spectral measure of structured self adjoint operators

The foundations of spectral computations via the Solvability Complexity Index hierarchy

On the Computation of Geometric Features of Spectra of Linear Operators on Hilbert Spaces

Computing Spectral Measures and Spectral Types

On the infinite-dimensional QR algorithm


Fast exoplanet transmission spectrum calculator

Forward modelling and retrievals with PLATON, a fast open source tool

Publications of the Astronomical Society of the Pacific

PLATON II: New Capabilities and a Comprehensive Retrieval on HD 189733b Transit and Eclipse Data

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

A Hubble PanCET Study of HAT-P-11b: A Cloudy Neptune with a Low Atmospheric Metallicity

The Hubble Space Telescope PanCET Program: An Optical to Infrared Transmission Spectrum of HAT-P-32Ab

High atmospheric metal enrichment for a Saturn-mass planet

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

Monthly Notices of the Royal Astronomical Society

ACCESS: Confirmation of No Potassium in the Atmosphere of WASP-31b

Obliquity measurement and atmospheric characterisation of the WASP-74 planetary system


Simple heat and power model of Germany


Semantics for COVID-19 Discovery

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology

Collaborating in the Time of COVID-19: The Scope and Scale of Innovative Responses to a Global Pandemic

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases

Journal of the American Medical Informatics Association : JAMIA

A protocol for adding knowledge to Wikidata, a case report

Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation


Generic decoding of seen and imagined objects using hierarchical visual features

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Convolutional Neural Networks for Facial Expression Recognition

Interpretation of Prediction Models Using the Input Gradient

Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features

Biases in Generative Art -- A Causal Look from the Lens of Art History

Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity

Using Artificial Intelligence Techniques to Emulate the Creativity of a Portrait Painter

Localized convolutional neural networks for geospatial wind forecasting

Machines that Dream


Data, tools, and documentation of the Fusion 360 Gallery Dataset

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences

BRepNet: A topological message passing system for solid models

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Geometric Deep Learning for Computer-Aided Design: A Survey


A C++ library for Quadratic Programming which implements the Goldfarb-Idnani active-set dual method.

LEoPart: a particle library for FEniCS

Computers and Mathematics with Applications

A model predictive control (MPC)-integrated multiphase immersed boundary (IB) framework for simulating wave energy converters (WECs)

Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control


P4 Applications WG repo

PINT: Probabilistic In-band Network Telemetry

Efficient Measurement on Programmable Switches Using Probabilistic Recirculation

International Conference on Network Protocols

Zero-CPU Collection with Direct Telemetry Access

Application Layer Packet Processing Using PISA Switches

Direct Telemetry Access

DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems

Tracking the QUIC spin bit on Tofino

Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design

Symposium on Operating Systems Principles


Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.

Standard Model Theory for the FCC-ee: The Tera-Z

Renormalization of symmetry restricted spin foam models with curvature in the asymptotic regime

Emergence of spacetime in a restricted spin-foam model

Numerical evaluation of spin foam amplitudes beyond simplices

Zenodo (CERN European Organization for Nuclear Research)

MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)


R package for downloading weather data from Environment and Climate Change Canada

weathercan: Download and format weather data from Environment and Climate Change Canada

Does tall vegetation warm or cool the ground surface? Constraining the ground thermal impacts of upright vegetation in northern environments


Combining tree-boosting with Gaussian process and mixed effects models

Gaussian Process Boosting

Latent Gaussian Model Boosting

Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning

Comparison of new computational methods for geostatistical modelling of malaria


A suite of rust libraries for secure multi-party computation

Circa: Stochastic ReLUs for Private Deep Learning

AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference


An implementation of KFAC for TensorFlow

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Estimating Model Uncertainty of Neural Networks in Sparse Information Form

M-FAC: Efficient Matrix-Free Approximations of Second-Order Information

Convolutional Neural Network Training with Distributed K-FAC

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning

Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization

Network Automatic Pruning: Start NAP and Take a Nap

Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization


Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Image Super-Resolution by Neural Texture Transfer

Noise Conditional Flow Model for Learning the Super-Resolution Space

FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow

Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images


Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

A Primer on the Inner Workings of Transformer-based Language Models

pyvene: A Library for Understanding and Improving PyTorch Models via
  Interventions

LMExplainer: a Knowledge-Enhanced Explainer for Language Models

Scaling and evaluating sparse autoencoders

Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Knowledge Circuits in Pretrained Transformers


Build Graph Nets in Tensorflow

Relational inductive biases, deep learning, and graph networks

Learning to Simulate Complex Physics with Graph Networks

Graph Neural Network for Traffic Forecasting: A Survey

A Survey of Deep Learning for Scientific Discovery

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Graph Neural Networks: Methods, Applications, and Opportunities

Graph Neural Networks for Particle Tracking and Reconstruction

Learning to Manipulate Object Collections Using Grounded State Representations

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation


Ordinal regression algorithms

Ordinal Common-sense Inference

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets

Relevance Scoring of Triples Using Ordinal Logistic Classification - The Celosia Triple Scorer at WSDM Cup 2017


The Highly Adaptive Lasso

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

hal9001: Scalable highly adaptive lasso regression in R

Doubly Robust Adaptive LASSO for Effect Modifier Discovery


Improve the quality of a denovo assembly by scaffolding and gap filling

Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Contrasting approaches to genome-wide association studies impact the detection of resistance mechanisms in Staphylococcus aureus

Isolation and Characterisation of Bacteriophage Selective for Key Acinetobacter baumannii Capsule Chemotypes

Circulation of enterotoxigenic Escherichia coli (ETEC) isolates expressing CS23 from the environment to clinical settings


Astronomical Interferometry in PYthon (AIPY)

Hydrogen Epoch of Reionization Array (HERA)

NEW LIMITS ON 21 cm EPOCH OF REIONIZATION FROM PAPER-32 CONSISTENT WITH AN X-RAY HEATED INTERGALACTIC MEDIUM AT z = 7.7

Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

CONSTRAINING POLARIZED FOREGROUNDS FOR EoR EXPERIMENTS. I. 2D POWER SPECTRA FROM THE PAPER-32 IMAGING ARRAY

DAYENU: a simple filter of smooth foregrounds for intensity mapping power spectra

Monthly notices of the Royal Astronomical Society

Bayesian model selection with future 21cm observations of the epoch of reionization

Data processing pipeline for Tianlai experiment

System design and calibration of SITARA—a global 21 cm short spacing interferometer prototype

Publications of the Astronomical Society of Australia


JKind - An infinite-state model checker for safety properties in Lustre

The JKind Model Checker

Towards Realizability Checking of Contracts using Theories

Requirements Analysis of a Quad-Redundant Flight Control System

Machine-Checked Proofs For Realizability Checking Algorithms


Audio Normalization for Python/ffmpeg

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Learning Speech-driven 3D Conversational Gestures from Video

Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis


HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

Probing the Sea of Cosmic Rays by Measuring Gamma-Ray Emission from Passive Giant Molecular Clouds with HAWC

A search for spectral hardening in HAWC sources above 56 TeV

Spectral and Energy Morphology Analysis Study of HAWC J2031+415

The Ultra-High-Energy Source MGRO J1908+06

The gamma-ray emission from 3HWC J1928+178


bids application for processing functional MRI data, robust to scanner, acquisition and age variability.

The minimal preprocessing pipelines for the Human Connectome Project

Reproducible brain-wide association studies require thousands of individuals

The Insight ToolKit image registration framework

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Functional connectome through the human life span

bioRxiv : the preprint server for biology

A precision functional atlas of personalized network topography and probabilities

The positive-negative mode link between brain connectivity, demographics and behaviour: a pre-registered replication of Smith et al. (2015)

Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development


Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands


Climate science package for Julia


wolfMQTT is a small, fast, portable MQTT client implementation, including support for TLS 1.3.

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

BayesImposter: Bayesian Estimation Based.bss Imposter Attack on Industrial Control Systems

EBF: A Hybrid Verification Tool for Finding Software Vulnerabilities in IoT Cryptographic Protocols.


one-click face swap

InstantID: Zero-shot Identity-Preserving Generation in Seconds

Concept-centric Personalization with Large-scale Diffusion Priors

DF40: Toward Next-Generation Deepfake Detection


A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁

Triggerflow: Trigger-based orchestration of serverless workflows

Primula: a Practical Shuffle/Sort Operator for Serverless Computing

PROCEEDINGS OF THE 2020 21ST INTERNATIONAL MIDDLEWARE CONFERENCE INDUSTRIAL TRACK (MIDDLEWARE INDUSTRY '20)

Transparent Serverless execution of Python multiprocessing applications

Bringing scaling transparency to Proteomics applications with serverless computing

Proceedings of the 2020 Sixth International Workshop on Serverless Computing


Model of Agricultural Production and its Impact on the Environment (MAgPIE) - model code

Combining ambitious climate policies with efforts to eradicate poverty

Carbon dioxide removal technologies are not born equal

Quantifying synergies and trade-offs in the global water-land-food-climate nexus using a multi-model scenario approach

Projected landscape-scale repercussions of global action for climate and biodiversity protection

Assessing policy options for sustainable water use in India’s cereal production system

Estimating global land system impacts of timber plantations using MAgPIE 4.3.5

Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming

'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs

Accounting for local temperature effect substantially alters afforestation patterns - data


Read, modify and write DICOM files with python code

A cortical surface-based geodesic distance package for Python

18F-FDG-PET-Based Radiomics Features to Distinguish Primary Central Nervous System Lymphoma from Glioblastoma.

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs

An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas

Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust

CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography

VISION: Toward a Standardized Process for Radiology Image Management at
  the National Level


PyTorch implementation of the position-aware attention model for relation extraction

Position-aware Attention and Supervised Data Improve Slot Filling

Empirical Methods in Natural Language Processing

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

SENT: Sentence-level Distant Relation Extraction via Negative Training

Modeling Multi-Granularity Hierarchical Features for Relation Extraction


Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 110 (36), 14534-14539

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

Community detection algorithm evaluation with ground-truth data

Detecting Community Structures in Hi-C Genomic Data

The Atlas for the Aspiring Network Scientist

Evaluating the reliability, validity, and utility of overlapping networks: Implications for network theories of cognition

Overlapping Community Detection in Temporal Text Networks


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

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers

Antipodes of Label Differential Privacy: PATE and ALIBI

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

CrossNorm and SelfNorm for Generalization under Distribution Shifts

A Theory of Label Propagation for Subpopulation Shift

BARACK: Partially Supervised Group Robustness With Guarantees

Sample Efficiency of Data Augmentation Consistency Regularization

Deep Anomaly Detection under Labeling Budget Constraints


PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

End-to-end lossless compression of high precision depth maps guided by pseudo-residual

GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression


Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Compact Graph Structure Learning via Mutual Information Compression

Graph Sanitation with Application to Node Classification

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications

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

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

Quasi-framelets: robust graph neural networks via adaptive framelet convolution

Data Augmentation for Graph Data: Recent Advancements


(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Imitation Learning via Off-Policy Distribution Matching

IQ-Learn: Inverse soft-Q Learning for Imitation

A Ranking Game for Imitation Learning

CEIL: Generalized Contextual Imitation Learning

Proximal Point Imitation Learning

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

Coherent Soft Imitation Learning


Combinatorial Bayesian Optimization using the Graph Cartesian Product

Toward real-world automated antibody design with combinatorial Bayesian optimization

Mercer Features for Efficient Combinatorial Bayesian Optimization

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces


Identifying Mislabeled Data using the Area Under the Margin Ranking

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness
  Characterization Methods for Data-Centric AI


Mutual information estimators and benchmark

Beyond Normal: On the Evaluation of Mutual Information Estimators

MINDE: Mutual Information Neural Diffusion Estimation

On the Properties and Estimation of Pointwise Mutual Information Profiles


SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Relational Knowledge Distillation

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

The State of Knowledge Distillation for Classification


A SEmantic Modeling machIne to build Knowledge Graphs with Graph Neural Networks

Modeling Relational Data with Graph Convolutional Networks

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

An open source knowledge graph ecosystem for the life sciences

VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models

International Conference on Data Technologies and Applications

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


Contrastive Learning of Structured World Models

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Better Set Representations For Relational Reasoning

The Impact of Negative Sampling on Contrastive Structured World Models


This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.

MR-based synthetic CT generation using a deep convolutional neural network method

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

An attentive-based generative model for medical image synthesis

Medical image translation using an edge-guided generative adversarial network with global-to-local feature fusion

Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets


Heuristic based boilerplate removal tool

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

Adapting taggers to Twitter with not-so-distant supervision

International Conference on Computational Linguistics

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

FinGPT: Large Generative Models for a Small Language

A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models

Out-of-the-Box and Into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

Investigating Web Corpus Filtering Methods for Language Model Development in Japanese

North American Chapter of the Association for Computational Linguistics


Resources for the Col-CEN reference genome assemblies

quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification

Automated annotation of human centromeres with HORmon

Structural variation and DNA methylation shape the centromere-proximal meiotic crossover landscape in Arabidopsis

Reply to: Re-evaluating evidence for adaptive mutation rate variation


A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

Conformer: Convolution-augmented Transformer for Speech Recognition

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Long-Short Transformer: Efficient Transformers for Language and Vision

Fastformer: Additive Attention Can Be All You Need

One TTS Alignment to Rule Them All

DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations


COYO-700M: Large-scale Image-Text Pair Dataset

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

Hierarchical Text-Conditional Image Generation with CLIP Latents

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

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reproducible scaling laws for contrastive language-image learning

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

DataComp: In search of the next generation of multimodal datasets

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Multimodal Foundation Models: From Specialists to General-Purpose Assistants


LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on VCF files

LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files

Genome-Wide Association Study Using Whole-Genome Sequencing Identifies a Genomic Region on Chromosome 6 Associated With Comb Traits in Nandan-Yao Chicken

Genome and haplotype provide insights into the population differentiation and breeding improvement of Gossypium barbadense

Genome-Wide Association Study Reveals That PvGUX1_1 Is Associated with Pod Stringlessness in Snap Bean (Phaseolus vulgaris L.)


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


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach

Towards a Universal Features Set for IoT Botnet Attacks Detection

Darknet traffic classification and adversarial attacks using machine learning

Effective Anomaly Detection Using Deep Learning in IoT Systems

Wireless Communications and Mobile Computing

On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers

APT-Attack Detection Based on Multi-Stage Autoencoders

Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches

Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


Recipe for a General, Powerful, Scalable Graph Transformer

Diffusing Graph Attention

Gradformer: Graph Transformer with Exponential Decay

Union Subgraph Neural Networks


Join Order Benchmark (JOB)

An End-to-End Learning-based Cost Estimator

Free Join: Unifying Worst-Case Optimal and Traditional Joins

Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates

Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks

Analyzing Query Optimizer Performance in the Presence and Absence of Cardinality Estimates


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

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

Monthly notices of the Royal Astronomical Society

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

Finding faint HI 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


UNMAINTAINED - use klusta instead

High-dimensional cluster analysis with the Masked EM Algorithm

Impaired path integration in mice with disrupted grid cell firing

Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges

Dynamic control of hippocampal spatial coding resolution by local visual cues

Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input

Highly structured, partner-sex- and subject-sex-dependent cortical responses during social facial touch

Resolution of Spike Overlapping by Biogeography-Based Optimization

Coding of self-motion-induced and self-independent visual motion in the rat dorsomedial striatum

All-viral tracing of monosynaptic inputs to single birthdate-defined neurons in the intact brain


Deep Speaker: an End-to-End Neural Speaker Embedding System.

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition

MER 2024: Semi-Supervised Learning, Noise Robustness, and
  Open-Vocabulary Multimodal Emotion Recognition

Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features


[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization

Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation


code for satellite system graphs

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

Tree-based Search Graph for Approximate Nearest Neighbor Search


A symbolic time series representation building Brownian bridges

ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series


Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Deep Graph Generators: A Survey

Partition and Code: learning how to compress graphs


Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Per Garment Capture and Synthesis for Real-time Virtual Try-on


Transition-based UCCA Parser

A Transition-Based Directed Acyclic Graph Parser for UCCA

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

Semantic Structural Evaluation for Text Simplification

Simple and Effective Text Simplification Using Semantic and Neural Methods

Multitask Parsing Across Semantic Representations

TUPA at MRP 2019: A Multi-Task Baseline System

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

HUJI-KU at MRP~2020: Two Transition-based Neural Parsers

Paths to Relation Extraction through Semantic Structure


ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Controllable protein design with language models

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

DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability

International journal of molecular sciences

Pretraining model for biological sequence data

LMPred: predicting antimicrobial peptides using pre-trained language models and deep learning

Fine-tuning protein language models boosts predictions across diverse tasks

DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction

PhosBoost: Improved phosphorylation prediction recall using gradient boosting and protein language models


Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

A generalized linear mixed model association tool for biobank-scale data

Zenodo (CERN European Organization for Nuclear Research)

Neuropsychiatric Genetics of African Populations-Psychosis (NeuroGAP-Psychosis): a case-control study protocol and GWAS in Ethiopia, Kenya, South Africa and Uganda

Insights from complex trait fine-mapping across diverse populations

Genomic Risk Factors for Cervical Cancer

Causal Association Between Tea Consumption and Kidney Function: A Mendelian Randomization Study

Variability in Brain Structure and Function Reflects Lack of Peer Support

Recent shifts in the genomic ancestry of Mexican Americans may alter the genetic architecture of biomedical traits

Epigenome-wide association study of seizures in childhood and adolescence

Reproduction and longevity: A Mendelian randomization study of gonadotropin-releasing hormone and ischemic heart disease


Credici: Credal Inference for Causal Inference

Structural Causal Models Are (Solvable by) Credal Networks

Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources

Tractable Bounding of Counterfactual Queries by Knowledge Compilation

Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data

Efficient Computation of Counterfactual Bounds


MiniFE Finite Element Mini-Application

Kokkos 3: Programming Model Extensions for the Exascale Era

IEEE Transactions on Parallel and Distributed Systems

Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU


Generates inputs for and runs the coupled groundwater-surface water model "GSFLOW"


Soft Active Matter on Surfaces

Active Vertex Model for cell-resolution description of epithelial tissue mechanics

Dense active matter model of motion patterns in confluent cell monolayers

Coordinated tractions increase the size of a collectively moving pack in a cell monolayer

Tracking collective cell motion by topological data analysis

Coarse-graining the vertex model and its response to shear

Discriminating between individual-based models of collective cell motion in a benchmark flow geometry using standardised spatiotemporal patterns


A Neural Machine Translation implementation in Chainer

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

言語処理学会年次大会発表論文集(Web)

Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages

Kyoto University Participation to WAT 2016

Kyoto-NMT: a Neural Machine Translation implementation in Chainer

Kyoto University Participation to WAT 2017

Neural Machine Translation: Basics, Practical Aspects and Recent Trends

International Joint Conference on Natural Language Processing

Kyoto University MT System Description for IWSLT 2017

International Workshop on Spoken Language Translation


Examples of Solidity security issues

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

A Framework and DataSet for Bugs in Ethereum Smart Contracts

Testing Smart Contracts Gets Smarter

Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering

How Does Naming Affect LLMs on Code Analysis Tasks?


Convert a PDDL domain into an OpenAI Gym environment.

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

PDDLGym: Gym Environments from PDDL Problems

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

pyRDDLGym: From RDDL to Gym Environments

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing
  Code and Interacting with the Environment

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning


The Intermediate Complexity Atmospheric Research model (ICAR)


An Open-Source Package for Network Embedding (NE)

Graph Neural Networks: A Review of Methods and Applications

Schottky Diode Large-Signal Equivalent-Circuit Parameters Extraction for High-Efficiency Microwave Rectifying Circuit Design

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Graph embedding on biomedical networks: methods, applications and evaluations

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Graph-based Semi-supervised Learning: A Comprehensive Review

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

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

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

MILE: A Multi-Level Framework for Scalable Graph Embedding

Automated Machine Learning on Graphs: A Survey


Parallel nested sampling

Properties and astrophysical implications of the 150 Msun binary black hole merger GW190521.

Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides, and self-spin effects

Analysis of Ringdown Overtones in GW150914

Constraining astrophysical observables of galaxy and supermassive black hole binary mergers using pulsar timing arrays

Stellar binary black holes in the LISA band: a new class of standard sirens

Monthly Notices of the Royal Astronomical Society

Enhancing modified gravity detection from gravitational-wave observations using the parametrized ringdown spin expansion coeffcients formalism

Constraints on Kerr-Newman black holes from merger-ringdown gravitational-wave observations

No tension between assembly models of super massive black hole binaries and pulsar observations

Probing the assembly history and dynamical evolution of massive black hole binaries with pulsar timing arrays

Accelerating the evaluation of inspiral–merger–ringdown waveforms with adapted grids


A 256-RISC-V-core system with low-latency access into shared L1 memory.

Assessment of Reinforcement Learning for Macro Placement

MemPool: A Scalable Manycore Architecture With a Low-Latency Shared L1 Memory

Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters

MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks


A framework for few-shot evaluation of autoregressive language models.

Evolutionary Optimization of Model Merging Recipes

Stable LM 2 1.6B Technical Report

Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities

Release of Pre-Trained Models for the Japanese Language

Aurora-M: The First Open Source Multilingual Language Model Red-teamed
  according to the U.S. Executive Order

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

Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training

Pretraining and Updating Language- and Domain-specific Large Language
  Model: A Case Study in Japanese Business Domain

Building a Large Japanese Web Corpus for Large Language Models


Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

Mining Fix Patterns for FindBugs Violations

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt

Behind the Scenes: On the Relationship Between Developer Experience and Refactoring

Prompting Frameworks for Large Language Models: A Survey

An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities

ACM Transactions on Software Engineering and Methodology

An extensive study on smell-aware bug localization

Predicting technical debt from commit contents: reproduction and extension with automated feature selection

On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study


Easy Reduced Basis method

EZyRB: Easy Reduced Basis method

A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls

Free Form Deformation, mesh morphing and reduced order methods: enablers for efficient aerodynamic shape optimization

A shape optimization pipeline for marine propellers by means of reduced order modeling techniques


Synthetic graph generator for the LDBC Social Network Benchmark, running on Spark

The LDBC Social Network Benchmark

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop

In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)

An architectural proposal to explore the data of a private community through visual analytic

Technological Ecosystems for Enhancing Multiculturality

An analysis of the SIGMOD 2014 Programming Contest: Complex queries on the LDBC social network graph

The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space

Reasoning on Property Graphs with Graph Generating Dependencies


Fine-grained TLS services classification with reject option

Network Traffic Classification based on Single Flow Time Series Analysis

NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification


Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

Causality-based Feature Selection: Methods and Evaluations

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game

Scaling up Greedy Causal Search for Continuous Variables

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

Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning

Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value

Causal Discovery of Feedback Networks with Functional Magnetic Resonance Imaging

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Mixed Graphical Models for Causal Analysis of Multi-modal Variables


Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Boosting Continuous Control with Consistency Policy

Memory-Consistent Neural Networks for Imitation Learning

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning

Efficient Planning with Latent Diffusion


Data for the quantitative study of (Vedic) Sanskrit

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

Dating and Stratifying a Historical Corpus with a Bayesian Mixture Model

LDA Topic Modeling for pramāṇa Texts: A Case Study in Sanskrit NLP Corpus Building

PROCEEDINGS OF THE 6TH INTERNATIONAL SANSKRIT COMPUTATIONAL LINGUISTICS SYMPOSIUM (ISCLS 2019)


Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks


SSPACE Basic, SSAKE-based Scaffolding of Pre-Assembled Contigs after Extension

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

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

Differential transcript expression profiles of susceptible and resistant pigeonpea cultivars at an early time point during Fusarium udum infection

Comprehensive phenomic and genomic studies of the species, Pectobacterium cacticida and proposal for reclassification as Alcorniella cacticida comb. nov

Comparative genomics, pangenomics, and phenomic studies of Pectobacterium betavasculorum strains isolated from sugar beet, potato, sunflower, and artichoke: insights into pathogenicity, virulence determinants, and adaptation to the host plant


A MATLAB toolbox for iPPG analysis.  The toolbox includes implementations of commonly used methods.

Camera Measurement of Physiological Vital Signs

iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox

rPPG-Toolbox: Deep Remote PPG Toolbox

Neuron Structure Modeling for Generalizable Remote Physiological Measurement


Some code for processing and analysing UK Biobank cardiac MR images.

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

Deep-Learning Segmentation of Epicardial Adipose Tissue Using Four-Chamber Cardiac Magnetic Resonance Imaging

Deep learning for image segmentation: veritable or overhyped?

Identification of Circulating Plasma Proteins as a Mediator of Hypertension-Driven Cardiac Remodeling: A Mediation Mendelian Randomization Study


Diagnosing and Enhancing VAE Models

Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders

Manifold-based Test Generation for Image Classifiers

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior


A PyTorch implementation of  "Graph Convolutional Networks for Text Classification." (AAAI 2019)

Detecting East Asian Prejudice on Social Media

RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs


elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems

S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem


Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Coupled Generative Adversarial Networks

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

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

On Scalable and Efficient Computation of Large Scale Optimal Transport


VIRULIGN: fast codon-correct alignment and annotation of viral genomes

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Potential Associations of Mutations within the HIV-1 Env and Gag Genes Conferring Protease Inhibitor (PI) Drug Resistance


A sentence aligner for comparable corpora

Multi-domain machine translation enhancements by parallel data extraction from comparable corpora

Unsupervised comparable corpora preparation and exploration for bi-lingual translation equivalents

Harvesting Comparable Corpora and Mining Them for Equivalent Bilingual Sentences Using Statistical Classification and Analogy-Based Heuristics


This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

Bilateral Multi-Perspective Matching for Natural Language Sentences

PAWS: Paraphrase Adversaries from Word Scrambling

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


Hyperspectral-Classification   Pytorch

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters

Going Deeper With Contextual CNN for Hyperspectral Image Classification

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

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN

SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN

Embedded Hyperspectral Band Selection with Adaptive Optimization for Image Semantic Segmentation


Manual spike clustering software for matlab

Enhancement of encoding and retrieval functions through theta phase-specific manipulation of hippocampus

Thalamic reticular nucleus induces fast and local modulation of arousal state

Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli

Layer 6 ensembles can selectively regulate the behavioral impact and layer-specific representation of sensory deviants


Compare neural networks by their feature similarity

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Do Vision Transformers See Like Convolutional Neural Networks?

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

A Closer Look at Self-Supervised Lightweight Vision Transformers

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

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

On the special role of class-selective neurons in early training


mutation(barcode) caller for 10x single cell data

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

Spatially resolved clonal copy number alterations in benign and malignant tissue

Early activation of inflammatory pathways in UBA1-mutated hematopoietic stem and progenitor cells in VEXAS

Loss of SYNCRIP unleashes APOBEC-driven mutagenesis, tumor heterogeneity, and AR-targeted therapy resistance in prostate cancer

Genetic and Transcriptional Contributions to Relapse in Normal Karyotype Acute Myeloid Leukemia


Software implementing the Latent Causal Variable Model

GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression

Investigation of glycaemic traits in psychiatric disorders using Mendelian randomisation revealed a causal relationship with anorexia nervosa

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Empirical comparisons of multiple Mendelian randomization approaches in the presence of assortative mating

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in migraine

The genetic architecture of human amygdala volumes and their overlap with common brain disorders

Investigating the effect of glycaemic traits on the risk of psychiatric illness using Mendelian randomisation

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

Genetically informed precision drug repurposing for lung function and implications for respiratory infection

Genetic and epidemiological analyses of infection load and its relationship with psychiatric disorders


Twissandra is an example project, created to learn and demonstrate how to use Cassandra. Running the project will present a website that has similar functionality to Twitter.

Incremental Consistency Guarantees for Replicated Objects

MonkeyDB: effectively testing correctness under weak isolation levels

Proceedings of the ACM on Programming Languages

MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels


Swift Accel-Amplicon primer trimming tool for fast alignment-based primer trimming

The monoclonal antibody combination REGEN-COV protects against SARS-CoV-2 mutational escape in preclinical and human studies

SARS-CoV-2 ORF6 Disrupts Bidirectional Nucleocytoplasmic Transport through Interactions with Rae1 and Nup98

A direct capture method for purification and detection of viral nucleic acid enables epidemiological surveillance of SARS-CoV-2


Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective

Stochastic Multiple Target Sampling Gradient Descent

Differentiable Random Partition Models

Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning


Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

Overcoming bias in gene-set enrichment analyses of brain-wide transcriptomic data

Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression

A phylogenetically-conserved axis of thalamocortical connectivity in the human brain

Resting-state brain functional alterations and their genetic mechanisms in drug-naive first-episode psychosis

Regional gene expression patterns are associated with task-specific brain activation during reward and emotion processing measured with functional MRI

Molecular mechanisms underlying resting-state brain functional correlates of behavioral inhibition

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

bioRxiv : the preprint server for biology

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults