DCA++

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods

DFT+DMFT calculations of the band gap and the transmission decay rate for the transition metal monoxides MnO, FeO, CoO and NiO

Orbital structure of the effective pairing interaction in the high-temperature superconducting cuprates

1/4 is the new 1/2 when topology is intertwined with Mottness

Enhancing d-wave superconductivity with nearest-neighbor attraction of extended Hubbard model

Pairfield fluctuations of a 2D Hubbard model

Superconductivity in the bilayer Hubbard model: Two Fermi surfaces are better than one

Superconductivity in the Bilayer Two-orbital Hubbard Model

Robust charge-density-wave correlations in the electron-doped single-band Hubbard model

Characterizing the superconducting instability in a two-orbital d-s model: insights to infinite-layer nickelate superconductors


Climate Simulation Operations


SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

Kinematic Structures in Planet-Forming Disks

The role of drag and gravity on dust concentration in a gravitationally unstable disc

Continuing to hide signatures of gravitational instability in protoplanetary discs with planets

Monthly Notices of the Royal Astronomical Society

Gas and star kinematics in cloud-cloud collisions


Simulating Annealing Network Aligner

SANA: cross-species prediction of Gene Ontology GO annotations via topological network alignment

On the current failure-but bright future-of topology-driven biological network alignment.

An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner

PROTEIN-PROTEIN INTERACTION NETWORKS: METHODS AND PROTOCOLS


Applied generative adversarial networks (GANs) to do anomaly detection for time series data

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

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

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data

Generative Optimization Networks for Memory Efficient Data Generation

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain


Light-weighted neural network inference for object detection on small-scale FPGA board

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

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

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

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices


A collection of scripts for analyzing the data from the Gaia satellite

Gaia EDR3 view on galactic globular clusters

Monthly notices of the Royal Astronomical Society

UOCS - III. UVIT catalogue of open clusters with machine learning-based membership using Gaia EDR3 astrometry

AstroSat Study of the Globular Cluster NGC 2298: Probable Evolutionary Scenarios of Hot Horizontal Branch Stars

UOCS-IX. AstroSat/UVIT Study of the Open Cluster NGC 2818: Blue Stragglers, Yellow Stragglers, Planetary Nebula, and their Membership

ED-2: A cold but not so narrow stellar stream crossing the solar neighbourhood

Tracing Milky Way substructure with an RR Lyrae hierarchical clustering forest

Discovery of the shell structure via break radii in the outer halo of the Milky Way

Multiple stellar populations found outside the tidal radius of NGC 1851 via Gaia DR3 XP spectra

Using Gaia for studying Milky Way star clusters

Proceedings of the International Astronomical Union


Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)

Neural Arithmetic Units

A Primer for Neural Arithmetic Logic Modules


Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

Small Language Models Learn Enhanced Reasoning Skills from Medical
  Textbooks

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare


Source code for "Progressive Transformers for End-to-End Sign Language Production" (ECCV 2020)

SignDiff: Learning Diffusion Models for American Sign Language Production


This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

graph2vec: Learning Distributed Representations of Graphs

Explainable Classification of Brain Networks via Contrast Subgraphs

Learning based Methods for Code Runtime Complexity Prediction

Machine learning for learner English

International Journal of Learner Corpus Research

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia

State of the Art and Potentialities of Graph-level Learning

Learning distributed representations of graphs with Geo2DR


A Chinese KBQA dataset with SPARQL annotations.

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Evaluation on ChatGPT for Chinese Language Understanding


ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Time Series Extrinsic Regression

Monash University, UEA, UCR Time Series Regression Archive

S-Rocket: Selective Random Convolution Kernels for Time Series Classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

A systematic review of Python packages for time series analysis


The Machine Learning Optimizer

The Voice of Optimization

Online Mixed-Integer Optimization in Milliseconds

Solving Recurrent MIPs with Semi-supervised Graph Neural Networks


Just Annotate My Genome

De novo assembly of the olive fruit fly (Bactrocera oleae) genome with linked-reads and long-read technologies minimizes gaps and provides exceptional Y chromosome assembly

Niche differentiation and evolution of the wood decay machinery in the invasive fungus Serpula lacrymans

G-OnRamp: Generating genome browsers to facilitate undergraduate-driven collaborative genome annotation

Massive genome reduction predates the divergence of Symbiodiniaceae dinoflagellates


A Label Attention Model for ICD Coding from Clinical Text

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

A Unified Review of Deep Learning for Automated Medical Coding

HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding


[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

Unsupervised Learning of Object Keypoints for Perception and Control

Counterfactual Learning on Graphs: A Survey


C# Data Extraction for "Learning to Represent Edits"

Learning to Represent Edits

A Literature Study of Embeddings on Source Code

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning


Tools to convert Illumina IDAT/BPM/EGT/GTC and Affymetrix CEL/CHP files to VCF

Large mosaic copy number variations confer autism risk

Nine out of ten samples were mistakenly switched by The Orang-utan Genome Consortium

Clonal Hematopoiesis Defined by Somatic Mutations Infrequently Co-occurs With Mosaic Loss of the Y Chromosome in a Population-based Cohort

Role of Transporters and Enzymes in Metabolism and Distribution of 4-Chlorokynurenine (AV-101)

The RNA editing landscape in acute myeloid leukemia reveals associations with disease mutations and clinical outcome

BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies

Genome-Wide Copy Number Variant and High-Throughput Transcriptomics Analyses of Placental Tissues Underscore Persisting Child Susceptibility in At-Risk Pregnancies Cleared in Standard Genetic Testing

International journal of molecular sciences


DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Topological spin excitations in Harper-Heisenberg spin chains

Non-Hermitian many-body topological excitations in interacting quantum dots

Lee-Yang theory of criticality in interacting quantum many-body systems

Inducing a many-body topological state of matter through Coulomb-engineered local interactions

Topological phase diagrams of exactly solvable non-Hermitian interacting Kitaev chains

Designing quantum many-body matter with conditional generative adversarial networks

Solitonic in-gap modes in a superconductor-quantum antiferromagnet interface

Dynamical topological excitations in parafermion chains

Kondo lattice mediated interactions in flat-band systems

Magnetic phases of spatially modulated spin-1 chains in Rydberg excitons: Classical and quantum simulations


【CVPR'2023 Highlight & TPAMI】Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

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

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


hotpants

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

The Astrophysical Journal Supplement Series

The peculiar short-duration GRB 200826A and its supernova

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

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

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

LIGHT CURVES OF 213 TYPE Ia SUPERNOVAE FROM THE ESSENCE SURVEY

The Automated Photometry Of Transients (AutoPhOT) pipeline

Extreme variability in an active galactic nucleus: Gaia16aax

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

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


Continuous Degradation Detection on the Google Earth Engine

Ongoing forest disturbance in Guatemala's protected areas

Remote sensing in ecology and conservation

Lessons Learned While Implementing a Time-Series Approach to Forest Canopy Disturbance Detection in Nepal

Project impact assessment on deforestation and forest degradation: Forest Disturbance Dataset


A Python implementation of the rough Bergomi model.

Turbocharging Monte Carlo pricing for the rough Bergomi model

Non-adversarial training of Neural SDEs with signature kernel scores

A path-dependent PDE solver based on signature kernels

Bartlett's Delta revisited: Variance-optimal hedging in the lognormal SABR and in the rough Bergomi model


Constrained optimization toolkit for PyTorch

Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Machine learning universal bosonic functionals

Geometric Optimisation on Manifolds with Applications to Deep Learning


A PyTorch implementation of VIOLET

VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models


Quality control code for estimating the quality of the workers in crowdsourcing environments

Aggregating and Predicting Sequence Labels from Crowd Annotations

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

Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing


[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

Advanced Scalability for Light Field Image Coding

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

Kernelized Back-Projection Networks for Blind Super Resolution


SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization

Keyphrase Cloud Generation of Broadcast News

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding

Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

International Journal of Advanced Computer Science and Applications

Compositional Generalization for Natural Language Interfaces to Web APIs

Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles


Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Representation Learning for Dynamic Graphs: A Survey

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Dynamic Network Embedding Survey

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network


Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation


Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots

International ACM SIGIR Conference on Research and Development in Information Retrieval

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset


A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

JlBox v1.1: a Julia-based multi-phase atmospheric chemistry box model

JlBox v1.0: A Julia based mixed-phase atmospheric chemistry box-model


Long-read mock community experiments

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Short- and long-read metagenomics expand individualized structural variations in gut microbiomes

Enabling high-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

DeepSelectNet: Deep Neural Network Based Selective Sequencing for Oxford Nanopore Sequencing

Analysis procedures for assessing recovery of high quality, complete, closed genomes from Nanopore long read metagenome sequencing

Wochenende - modular and flexible alignment-based shotgun metagenome analysis


One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

On Measuring and Mitigating Biased Inferences of Word Embeddings

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions

The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability


Systemic is a C library for modeling exoplanetary radial velocities, with an R binding and a full GUI IDE.

The Solar Neighborhood XLVIII: Nine Giant Planets Orbiting Nearby K Dwarfs, and the CHIRON Spectrograph's Radial Velocity Performance

A High-Precision NIR Survey for RV Variable Low-Mass Stars

Magellan/PFS Radial Velocities of GJ 9827, a Late K dwarf at 30 pc with Three Transiting Super-Earths


View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks


Topological data analysis tools for cross correlation matrices

Clique topology reveals intrinsic geometric structure in neural correlations

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

Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience

Geometry of spiking patterns in early visual cortex: a Topological Data Analytic approach

Clique topology of real symmetric matrices


piRNA pipeline collection developed in the Zamore Lab and ZLab in UMass Med School

piRNA-mediated regulation of transposon alternative splicing in the soma and germ line

The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility

Comparative Principles of DNA Methylation Reprogramming during Human and Mouse In Vitro Primordial Germ Cell Specification

An endosiRNA-Based Repression Mechanism Counteracts Transposon Activation during Global DNA Demethylation in Embryonic Stem Cells

Large Drosophila germline piRNA clusters are evolutionarily labile and dispensable for transposon regulation

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


Python implementation of performance metrics in Loizou's Speech Enhancement book

Universal Speech Enhancement with Score-based Diffusion

Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

Extending Audio Masked Autoencoders Toward Audio Restoration

Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source

An Empirical Study on Speech Restoration Guided by Self-Supervised Speech Representation

IEEE International Conference on Acoustics, Speech, and Signal Processing

Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source


Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"

TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching

International Conference on Computational Linguistics

Neural Data-to-Text Generation with LM-based Text Augmentation


An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

Multitask Prompted Training Enables Zero-Shot Task Generalization

UnifiedQA: Crossing Format Boundaries With a Single QA System

MetaICL: Learning to Learn In Context

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning


Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

Isprs Journal of Photogrammetry and Remote Sensing

Remote Sensing Big Data Classification with High Performance Distributed Deep Learning

Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2

Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Bayesian Active Learning for Sim-to-Real Robotic Perception

BABA: Beta Approximation for Bayesian Active Learning.


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


IUCN Red List API Client


Official Git repository of R package meta

Progression-Free Survival and Overall Survival of CDK 4/6 Inhibitors Plus Endocrine Therapy in Metastatic Breast Cancer: A Systematic Review and Meta-Analysis

Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study

Occupational Lead Exposure and Brain Tumors: Systematic Review and Meta-Analysis

International journal of environmental research and public health

Alaskan carbon-climate feedbacks will be weaker than inferred from short-term experiments

The Use of Tocilizumab in Patients with COVID-19: A Systematic Review, Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Studies

Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis

Clinical and radiographic outcomes of upper thoracic versus lower thoracic upper instrumented vertebrae for adult scoliosis: a meta-analysis

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas

Effect of the COVID-19 pandemic on the proportion of physically active children and adults worldwide: A systematic review and meta-analysis

Higher versus lower dose corticosteroids for severe to critical COVID-19: A systematic review and dose-response meta-analysis

Direct Oral Anticoagulants as the First Choice of Anticoagulation for Patients with Peripheral Artery Disease to Prevent Adverse Vascular Events: A Systematic Review and Meta-Analysis

Journal of cardiovascular development and disease


On the information bottleneck theory of deep learning

Journal of Statistical Mechanics: Theory and Experiment


Public Kerr metric polarized ray tracing radiative transfer code

Detection of orbital motions near the last stable circular orbit of the massive black hole SgrA*

A public code for general relativistic, polarised radiative transfer around spinning black holes

Monthly Notices of the Royal Astronomical Society

Faraday rotation in GRMHD simulations of the jet launching zone of M87

Sgr A* near-infrared flares from reconnection events in a magnetically arrested disc

Ab Initio Horizon-scale Simulations of Magnetically Arrested Accretion in Sagittarius A* Fed by Stellar Winds

The impact of Faraday effects on polarized black hole images of Sagittarius A

Evolving non-thermal electrons in simulations of black hole accretion

General Purpose Ray Tracing and Polarized Radiative Transfer in General Relativity

The impact of non-thermal electrons on event horizon scale images and spectra of Sgr A*

Radiative Transfer with POLARIS. II. Modeling of Synthetic Galactic Synchrotron Observations


Solidity grammar for ANTLR4

SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding

International Conference on Software Maintenance

Profiling Gas Consumption in Solidity Smart Contracts

MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications


[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

HoughNet: Integrating near and long-range evidence for bottom-up object detection

HoughNet: Integrating near and long-range evidence for visual detection


Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Embedding Transfer with Label Relaxation for Improved Metric Learning

Slowing Down the Weight Norm Increase in Momentum-based Optimizers


[CVPR2023] A faster, smaller, and better text-to-image model for large-scale training

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis


A collection of implementations of deep domain adaptation algorithms

A Comprehensive Survey on Transfer Learning

Deep Subdomain Adaptation Network for Image Classification

IEEE transactions on neural networks and learning systems

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

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

Multi-representation adaptation network for cross-domain image classification

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

Adaptive Trajectory Prediction via Transferable GNN

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion

Transfer Learning Toolkit: Primers and Benchmarks

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction

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


An event-based tool for analyzing and quantifying calcium or neurotransmitter imaging data

Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology

Dopamine Activates Astrocytes in Prefrontal Cortex via α1-Adrenergic Receptors

Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling

Microglia sense astrocyte dysfunction and prevent disease progression in an Alexander disease model

Calcium Signaling in the Cerebellar Radial Glia and Its Association with Morphological Changes during Zebrafish Development

International journal of molecular sciences


Signal based nanopore RNA demultiplexing with convolutional neural networks

Molecular barcoding of native RNAs using nanopore sequencing and deep learning

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Barcoding and demultiplexing Oxford Nanopore native RNA sequencing reads with deep residual learning


Multi-site dMRI harmonization

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

bioRxiv : the preprint server for biology

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

Adverse Outcome Following Mild Traumatic Brain Injury Is Associated with Microstructure Alterations at the Gray and White Matter Boundary

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations


This is a collection of convenient methods for data science competition.

Unsupervised Data Augmentation for Consistency Training

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Searching for A Robust Neural Architecture in Four GPU Hours


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

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

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

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

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

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

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


JDeodorant

Code smells and refactoring: A tertiary systematic review of challenges and observations

Automatizing Software Cognitive Complexity Reduction

On the use of static analysis to engage students with software quality improvement: An experience with PMD

Refactoring Assertion Roulette and Duplicate Assert test smells: a controlled experiment

Long Method and Long Parameter List Code Smells Detection using Functional and Semantic Characteristics

International Journal of Recent Technology and Engineering (IJRTE)


Torrent Suite

Evaluation of Hybridization Capture Versus Amplicon‐Based Methods for Whole‐Exome Sequencing

Comprehensive gene panels provide advantages over clinical exome sequencing for Mendelian diseases

A new rhesus macaque assembly and annotation for next-generation sequencing analyses

Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity

KIAA0556 is a novel ciliary basal body component mutated in Joubert syndrome

Transient Disappearance of RAS Mutant Clones in Plasma: A Counterintuitive Clinical Use of EGFR Inhibitors in RAS Mutant Metastatic Colorectal Cancer

Addressing health disparities in Hispanic breast cancer: accurate and inexpensive sequencing of BRCA1 and BRCA2

Genetic architecture differences between pediatric and adult-onset inflammatory bowel diseases in the Polish population

Transcriptomic Analysis of Calcium Remodeling in Colorectal Cancer

A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency


Gaussian mixtures and image processing implemented in python

The Dark Energy Survey: Data Release 1

The Astrophysical Journal Supplement Series

Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology

First Measurement of the Hubble Constant from a Dark Standard Siren using the Dark Energy Survey Galaxies and the LIGO/Virgo Binary-Black-hole Merger GW170814

Stellar Streams Discovered in the Dark Energy Survey

Practical Weak-lensing Shear Measurement with Metacalibration

Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing

Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies

The DES Science Verification weak lensing shear catalogues

Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology

GREAT3 results - I. Systematic errors in shear estimation and the impact of real galaxy morphology


The Mesoscale Microstructure Simulation Project

Rapid multiphase-field model development using a modular free energy based approach with automatic differentiation in MOOSE/MARMOT

PRISMS-PF: A general framework for phase-field modeling with a matrix-free finite element method

Tusas: A fully implicit parallel approach for coupled phase-field equations


Locus and lineage tests for bacterial GWAS

Current Affairs of Microbial Genome-Wide Association Studies: Approaches, Bottlenecks and Analytical Pitfalls

Panton–Valentine leucocidin is the key determinant of Staphylococcus aureus pyomyositis in a bacterial GWAS

Antimicrobial resistance determinants are associated with Staphylococcus aureus bacteraemia and adaptation to the hospital environment: a bacterial genome-wide association study


HIL-based Augmented ICS (HAI) Security Dataset

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

A Survey on Industrial Control System Testbeds and Datasets for Security Research

IEEE Communications Surveys and Tutorials

HAI 1.0: HIL-based Augmented ICS Security Dataset

E-SFD: Explainable Sensor Fault Detection in the ICS Anomaly Detection System

Two ICS Security Datasets and Anomaly Detection Contest on the HIL-based Augmented ICS Testbed

MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series

IEEE International Joint Conference on Neural Network

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Multivariate Time Series Anomaly Detection with Few Positive Samples

Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems


Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data


Code for neural network parameterization project

Deep learning to represent sub-grid processes in climate models

Could Machine Learning Break the Convection Parameterization Deadlock?

Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

Climate-invariant machine learning

Towards Physically-consistent, Data-driven Models of Convection

Climate-Invariant Machine Learning

Improving Atmospheric Processes in Earth System Models with Deep
  Learning Ensembles and Stochastic Parameterizations

raspstephan/CBRAIN-CAM

Sample SPCAM dataset

Zenodo (CERN European Organization for Nuclear Research)


PyTorch implementation of soft actor critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Deep Radial-Basis Value Functions for Continuous Control

Transfer RL across Observation Feature Spaces via Model-Based Regularization

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States

Value-Distributional Model-Based Reinforcement Learning


Maximum Entropy Codes

TRIQS/SOM: Implementation of the stochastic optimization method for analytic continuation

Wave functions, electronic localization, and bonding properties for correlated materials beyond the Kohn-Sham formalism

Comparing the effective enhancement of local and nonlocal spin-orbit couplings on honeycomb lattices due to strong electronic correlations

Charge disproportionation and Hund's insulating behavior in a five-orbital Hubbard model applicable to d^4 perovskites

Training biases in machine learning for the analytic continuation of quantum many-body Green's functions


JSON Tables for CMOR3 to create CMIP6 dataset

Simulations for CMIP6 with the AWI climate model AWI-CM-1-1

Journal of Advances in Modeling Earth Systems

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

CERESMIP: a climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance

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


base-accurate DNA sequence alignments using WFA and mashmap3

Edlib: a C/C++ library for fast, exact sequence alignment using edit distance

A Fast Adaptive Algorithm for Computing Whole-Genome Homology Maps

Fast gap-affine pairwise alignment using the wavefront algorithm

A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

Unbiased pangenome graphs

A super-pangenome of the North American wild grape species

Genomic Anatomy of Homozygous XX Females and YY Males Reveals Early Evolutionary Trajectory of Sex-determining Gene and Sex Chromosomes in Silurus Fishes


Simulation Sandbox for the Design and Evaluation of Stormwater Control Algorithms

pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms


A bioinformatics pipeline to analyze mtDNA from NGS data

Mitochondrial DNA depletion, mitochondrial mutations and high TFAM expression in hepatocellular carcinoma

Detection of Innate and Artificial Mitochondrial DNA Heteroplasmy by Massively Parallel Sequencing: Considerations for Analysis

The relevance of mitochondrial DNA variants fluctuation during reprogramming and neuronal differentiation of human iPSCs


fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"

The evolution of lung cancer and impact of subclonal selection in TRACERx

Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches

Whole genome sequencing delineates regulatory, copy number, and cryptic splice variants in early onset cardiomyopathy

Genetic Epidemiology of Amyotrophic Lateral Sclerosis in Norway: A 2-Year Population-Based Study

The impact of genomic structural variation on the transcriptome, chromatin, and proteome in the human brain

Towards a gene-level map of resilience to genetic variants associated with autism


LoMRF is an open-source implementation of Markov Logic Networks

Online learning of event definitions

Theory and Practice of Logic Programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

The Complex Event Recognition Group


Smatch tool: evaluation of AMR semantic structures

Smatch: an Evaluation Metric for Semantic Feature Structures

Meeting of the Association for Computational Linguistics

Discourse Representation Structure Parsing

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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

Fast semantic parsing with well-typedness guarantees

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

AMR Normalization for Fairer Evaluation

Multilingual Abstract Meaning Representation for Celtic Languages

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation

One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing

Recent Advances in Natural Language Processing


A complete pipeline for metagenomic analysis

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

SQMtools: automated processing and visual analysis of ’omics data with R and anvi’o

Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries

Trajectories of freshwater microbial genomics and greenhouse gas saturation upon glacial retreat

In-situ metagenomics: A platform for rapid sequencing and analysis of metagenomes in less than one day

Metatranscriptome sequencing identifies Escherichia are major contributors to pathogenic functions and biofilm formation in diabetes related foot osteomyelitis


Line-By-Line Radiative Transfer Model by Atmospheric and Environmental Research

Simulated Multispectral Temperature and Atmospheric Composition Retrievals for the JPL GEO-IR Sounder

The Hidden Companion in J1527: A 0.69 Solar-mass White Dwarf?

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


Detection of differential RNA modifications from direct RNA sequencing of human cell lines

Crosstalk between m6A and coding/non-coding RNA in cancer and detection methods of m6A modification residues

Analysis approaches for the identification and prediction of N6-methyladenosine sites

xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing


An efficient index for the colored, compacted, de Bruijn graph

A space and time-efficient index for the compacted colored de Bruijn graph

Puffaligner: An Efficient and Accurate Aligner Based on the Pufferfish Index

Pan-genome de Bruijn graph using the bidirectional FM-index


python library for atomistic machine learning

Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics

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

Lightweight and Effective Tensor Sensitivity for Atomistic Neural Networks

Machine Learning Framework for Modeling Exciton Polaritons in Molecular Materials

Machine learning potentials with Iterative Boltzmann Inversion: training to experiment


This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Large Language Models for Time Series: A Survey

A Survey of Large Language Models in Finance (FinLLMs)

The FinBen: An Holistic Financial Benchmark for Large Language Models

A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Large Language Model Adaptation for Financial Sentiment Analysis

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English

No Language is an Island: Unifying Chinese and English in Financial
  Large Language Models, Instruction Data, and Benchmarks


A language for symbolic transitions system, inspired by Ivy.

Ivy: A Multi-modal Verification Tool for Distributed Algorithms

On Symmetry and Quantification: A New Approach to Verify Distributed Protocols

Inferring Inductive Invariants from Phase Structures

Towards an Automatic Proof of Lamport's Paxos

Inferring Invariants with Quantifier Alternations: Taming the Search Space Explosion

Plain and Simple Inductive Invariant Inference for Distributed Protocols in TLA+


LIBSVM bindings for Julia

Julia language in machine learning: Algorithms, applications, and open issues

ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models

The Scattering Transform Network with Generalized Morse Wavelets and its Application to Music Genre Classification


A Julia implementation of Rapid and accurate Radiative Transfer Model for General Circulation Models.


Speedy Cosmic Ray Annihilation Package in Python

The X-shooter GRB afterglow legacy sample (XS-GRB)

Hydrogen-rich supernovae beyond the neutrino-driven core-collapse paradigm

The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

No Surviving Companion in Kepler's Supernova

The Prevalence and Influence of Circumstellar Material around Hydrogen-rich Supernova Progenitors

Are All Post-starbursts Mergers? HST Reveals Hidden Disturbances in the Majority of PSBs

Extremely late photometry of the nearby SN 2011fe

Monthly Notices of the Royal Astronomical Society

Analysis of Neptune’s 2017 bright equatorial storm

The Automated Photometry Of Transients (AutoPhOT) pipeline

JWST/MIRI Simulated Imaging: Insights into Obscured Star Formation and AGNs for Distant Galaxies in Deep Surveys


The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915

Hyperpolarized Metabolic MRI—Acquisition, Reconstruction, and Analysis Methods

Initial Experience on Hyperpolarized [1-13C]Pyruvate MRI Multicenter Reproducibility—Are Multicenter Trials Feasible?

Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies.

Measuring the Metabolic Evolution of Glioblastoma throughout Tumor Development, Regression, and Recurrence with Hyperpolarized Magnetic Resonance

Hyperpolarized [2–13C]pyruvate MR molecular imaging with whole brain coverage

Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI


Official repository for 21cmFAST: a code for generating fast simulations of the cosmological 21cm signal

HERA Phase I Limits on the Cosmic 21 cm Signal: Constraints on Astrophysics and Cosmology during the Epoch of Reionization

Reionization and galaxy inference from the high-redshift Lyα forest

The impact of the first galaxies on cosmic dawn and reionization

A tale of two sites – I. Inferring the properties of minihalo-hosted galaxies from current observations

Monthly notices of the Royal Astronomical Society

Reionization inference from the CMB optical depth and E-mode polarization power spectra

A tale of two sites - II. Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers

Modeling Cosmic Reionization

Epoch of reionization parameter estimation with the 21-cm bispectrum

Closing the window on fuzzy dark matter with the 21-cm signal

Exploring the cosmic 21-cm signal from the epoch of reionization using the wavelet scattering transform


Scalable symbolic-numeric set computations in Julia

Algorithms for Verifying Deep Neural Networks

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

ARCH-COMP19 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Conservative Time Discretization: A Comparative Study

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Combining Set Propagation with Finite Element Methods for Time Integration in Transient Solid Mechanics Problems


Real-time power system simulator including powerflow, (dynamic) phasors and EMT


BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method

BoSSS: a package for multigrid extended discontinuous Galerkin methods

An Extended Discontinuous Galerkin Method for High-Order Shock-Fitting

A fully coupled high‐order discontinuous Galerkin solver for viscoelastic fluid flow

International Journal for Numerical Methods in Fluids

On a marching level-set method for extended discontinuous Galerkin methods for incompressible two-phase flows.

The extended discontinuous Galerkin method adapted for moving contact line problems via the generalized Navier boundary condition


Fast regression modeling framework

Cross-Lingual Metaphor Detection Using Common Semantic Features

The Utility of Text: The Case of Amicus Briefs and the Supreme Court

Identifying the L1 of non-native writers: the CMU-Haifa system

Workshop on Innovative Use of NLP for Building Educational Applications

Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options

Workshop on Statistical Machine Translation


A library for reinforcement learning research

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Batch Policy Learning under Constraints


Verified compilation of space-efficient reversible circuits

Estimating the cost of generic quantum pre-image attacks on SHA-2 and SHA-3

Next Steps in Quantum Computing: Computer Science's Role

Verified Compilation of Space-Efficient Reversible Circuits


SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index

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)


:microscope: :leo: Bacterial ribosomal RNA predictor

Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism

Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

phyloFlash: Rapid Small-Subunit rRNA Profiling and Targeted Assembly from Metagenomes

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Retrieval of a million high-quality, full-length microbial 16S and 18S rRNA gene sequences without primer bias

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Structure and Function of the Arctic and Antarctic Marine Microbiota as Revealed by Metagenomics

Improved reference genome of the arboviral vector Aedes albopictus

Ultrahigh-throughput functional profiling of microbiota communities


The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.

Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling

MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts


Pytorch implementation for "Decoupled attention network for text recognition".

Decoupled Attention Network for Text Recognition

Text Recognition in the Wild: A Survey

Recognition of Handwritten Chinese Text by Segmentation: A Segment-Annotation-Free Approach

Revisiting Scene Text Recognition: A Data Perspective

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition


Correlation Alignment for Domain Adaptation

Domain Adaptation for Visual Applications: A Comprehensive Survey

Correlation Alignment for Unsupervised Domain Adaptation

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

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

Adaptive Trajectory Prediction via Transferable GNN

Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning


A list of our publications.

Is Machine Learning Ready for Traffic Engineering Optimization?

RouteNet-Fermi: Network Modeling with Graph Neural Networks

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering

IEEE Transactions on Cognitive Communications and Networking


Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus.

Bullshark: DAG BFT Protocols Made Practical

Shoal: Improving DAG-BFT Latency And Robustness

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Scaling Blockchain Consensus via a Robust Shared Mempool


Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"

Adaptive Information Seeking for Open-Domain Question Answering

Performance Prediction for Multi-hop Questions

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering


Language-agnostic BERT Sentence Embedding (LaBSE)

Claim Matching Beyond English to Scale Global Fact-Checking

Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages

Multilingual Text Classification for Dravidian Languages

FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection


NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)

Web-based decision support system tools: The Soil and Water Assessment Tool Online visualization and analyses (SWATOnline) and NASA earth observation data downloading and reformatting tool (NASAaccess)

Environmental modelling & software : with environment data news


Benchmarking and Visualization Tool for Adversarial Machine Learning

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction

Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack

Effective Universal Unrestricted Adversarial Attacks using a MOE Approach

On the Security of Randomized Defenses Against Adversarial Samples

DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for
  Self-contained Tracking


Differential Algebra Computational Toolbox

Collision avoidance maneuver optimization with a multiple-impulse convex formulation

Data association and uncertainty pruning for tracks determined on short arcs

Celestial mechanics & dynamical astronomy

On the predictability and robustness of Galileo disposal orbits

Detection and estimation of spacecraft maneuvers for catalog maintenance

Differential algebra methods applied to continuous abacus generation and bifurcation detection: application to periodic families of the Earth–Moon system

Stable sets mapping with Taylor differential algebra with application to ballistic capture orbits around Mars


Safe reinforcement learning with stability guarantees

Safe Model-based Reinforcement Learning with Stability Guarantees

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

Verification for Machine Learning, Autonomy, and Neural Networks Survey


Bitcoin and Blockchain Simulator

Hybrid-IoT: Hybrid Blockchain Architecture for Internet of Things - PoW Sub-blockchains

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective


An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"

GEM: A General Evaluation Benchmark for Multimodal Tasks

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

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Zero-shot Video Moment Retrieval With Off-the-Shelf Models


[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding


Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis

Variational Graph Auto-Encoders

Directed Graph Auto-Encoders

Adversarial Permutation Guided Node Representations for Link Prediction


processing 10x genomics reads

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

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Rapid genotype imputation from sequence with reference panels

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

A chromosome-level genome assembly of the woolly apple aphid, Eriosoma lanigerum (Hausmann) (Hemiptera: Aphididae)

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

A chromosome-level reference genome and pangenome for barn swallow population genomics

Three new genome assemblies of blue mussel lineages: North and South European Mytilus edulis and Mediterranean Mytilus galloprovincialis

Genome ofPhyllanthus emblica: the medicinal plant Amla with super antioxidant properties

Genome sequencing of Syzygium cumini (Jamun) reveals adaptive evolution in secondary metabolism pathways associated with its medicinal properties


Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

Efficient Neural Network Robustness Certification with General Activation Functions

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

Training Provably Robust Models by Polyhedral Envelope Regularization

REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service


ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)

Multimodal Word Distributions

Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention

Workshop on Biomedical Natural Language Processing


SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

Computational and structural biotechnology journal

A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction

A method for characterizing Cas9 variants via a one-million target sequence library of self-targeting sgRNAs


ProFound source finding and extraction

ProFound: Source Extraction and Application to Modern Survey Data

Galaxy And Mass Assembly (GAMA): a forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type

JWST PEARLS. Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

The SAMI Galaxy Survey: Quenching of Star Formation in Clusters I. Transition Galaxies

Observational properties of ultra-diffuse galaxies in low-density environments: field UDGs are predominantly blue and star forming

Galaxy And Mass Assembly (GAMA): assimilation of KiDS into the GAMA database

Halo mass estimates from the globular cluster populations of 175 low surface brightness galaxies in the Fornax cluster

Radio source extraction with PROFOUND

Automated detectionof very low surface brightness galaxiesin the Virgo cluster

JWST's PEARLS: A new lens model for ACT-CL J0102-4915, "El Gordo," and the first red supergiant star at cosmological distances discovered by JWST


Low level analysis for MIBI images

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments

Spatial epitope barcoding reveals clonal tumor patch behaviors


pytorch implementation of Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Accounting for Unobserved Confounding in Domain Generalization

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection

Co-Teaching for Unsupervised Domain Adaptation and Expansion


RoBERTa models for Polish

RoBERTa: A Robustly Optimized BERT Pretraining Approach

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Pre-training Polish Transformer-based Language Models at Scale

TrelBERT: A pre-trained encoder for Polish Twitter

Workshop on Balto-Slavic Natural Language Processing

Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot

Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language


Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Pareto Smoothed Importance Sampling

On the Application of Bayesian Leave-one-out Cross-validation to Exoplanet Atmospheric Analysis

Robust leave-one-out cross-validation for high-dimensional Bayesian models


Structural Bioinformatics Training Workshop & Hackathon 2017

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


PPG-Based Voice Conversion

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

IEEE/ACM Transactions on Audio, Speech, and Language Processing

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics

Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion

StreamVC: Real-Time Low-Latency Voice Conversion


Graphonomy: Universal Human Parsing via Graph Transfer Learning

Fashion Meets Computer Vision: A Survey

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Exploring the Robustness of Human Parsers Towards Common Corruptions


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

Deep Residual Learning for Image Recognition

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

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

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

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

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

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


Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Reducing Domain Gap by Reducing Style Bias

Generalizing to unseen domains via distribution matching

Self-supervised Domain Adaptation for Computer Vision Tasks

Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation

Accurate prediction of molecular targets using a self-supervised image representation learning framework

Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization


[ECCV 2020] In-Domain GAN Inversion for Real Image Editing (PyTorch code)

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

GAN Inversion for Out-of-Range Images with Geometric Transformations

EdiBERT, a generative model for image editing

Auditing AI models for Verified Deployment under Semantic Specifications


CNN-generated images are surprisingly easy to spot... for now

Towards Universal Fake Image Detectors that Generalize Across Generative Models

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


Simple yet SoTA Knowledge Graph Embeddings.

Convolutional 2D Knowledge Graph Embeddings

Canonical Tensor Decomposition for Knowledge Base Completion

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization


TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Solving Schrödinger Bridges via Maximum Likelihood

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics

Light Schrödinger Bridge


Molecular standardisation tool

Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks

Journal of chemical information and modeling

Predicting drug-induced liver injury: The importance of data curation

KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images

Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

eTOXlab, an open source modeling framework for implementing predictive models in production environments

The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives

A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors

Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports

Allosteric Binders of ACE2 Are Promising Anti-SARS-CoV-2 Agents

bioRxiv : the preprint server for biology


An Interactive Tool for Scalable and Reproducible Error Analysis.

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Errudite: Scalable, Reproducible, and Testable Error Analysis

Meeting of the Association for Computational Linguistics

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop


All languages stopwords collection

COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA

MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment

Constructing Geospatial Concept Graphs from Tagged Images for Geo-Aware Fine-Grained Image Recognition

ISPRS International Journal of Geo-Information

Constructing Geographic Dictionary from Streaming Geotagged Tweets

Supervised Machine Learning mit Nutzergenerierten Inhalten: Oversampling für nicht balancierte Trainingsdaten

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training

Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?


Microsatellite instability (MSI) detection for tumor only data.

Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

DACH1 mutation frequency in endometrial cancer is associated with high tumor mutation burden

ATR inhibition induces synthetic lethality in mismatch repair-deficient cells and augments immunotherapy

Intra-Tumoral CD8+ T-Cell Infiltration and PD-L1 Positivity in Homologous Recombination Deficient Pancreatic Ductal Adenocarcinoma

Prognostic potential of whole exome sequencing in the clinical management of metachronous colorectal cancer liver metastases

Comprehensive genomic characterization of sporadic synchronous colorectal cancer: Implications for treatment optimization and clinical outcome


Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Domain Generalization using Causal Matching

Alleviating Privacy Attacks via Causal Learning

Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization

The Connection between Out-of-Distribution Generalization and Privacy of ML Models


Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Very Deep Convolutional Networks for Large-Scale Image Recognition

Few-shot Object Detection via Feature Reweighting

Incremental Learning of Object Detectors without Catastrophic Forgetting


MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering

Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation


CancerSCEM: a database of single-cell expression map across various human cancers

Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis

Protocol for identifying immune checkpoint on circulating tumor cells of human pancreatic ductal adenocarcinoma by single-cell RNA sequencing

Single-cell profiling of the copy-number heterogeneity in colorectal cancer


Generalized lasso implementations

Fast and Flexible ADMM Algorithms for Trend Filtering

False discovery rate smoothing

A Fast and Flexible Algorithm for the Graph-Fused Lasso

Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection

Journal of the American Statistical Association

Mixtures, envelopes, and hierarchical duality

Nonparametric density estimation by histogram trend filtering


Modelling the Language of Life - Deep Learning Protein Sequences

Modeling aspects of the language of life through transfer-learning protein sequences

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

Modeling the language of life – Deep Learning Protein Sequences


Pipeline to generate the Standardized Project Gutenberg Corpus

A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics

Can Pre-trained Language Models Interpret Similes as Smart as Human?

Quantifying the Dissimilarity of Texts


Official repository for LongChat and LongEval

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Training-Free Long-Context Scaling of Large Language Models

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware
  Mixed Precision Quantization

SubGen: Token Generation in Sublinear Time and Memory


free software C++ libraries for cosmological calculations

CosmoBolognaLib: C++ libraries for cosmological calculations

The void size function in dynamical dark energy cosmologies

Journal of Cosmology and Astroparticle Physics

Cosmological exploitation of the size function of cosmic voids identified in the distribution of biased tracers

Cosmological constraints from a joint analysis of cosmic growth and expansion

Monthly Notices of the Royal Astronomical Society: Letters

Cosmic voids uncovered – first-order statistics of depressions in the biased density field

Monthly notices of the Royal Astronomical Society

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Exploring the dependence of the three-point correlation function on stellar mass and luminosity at $0.5 < z < 1.1$

Clustering and redshift-space distortions in modified gravity models with massive neutrinos

Clustering of CODEX clusters

The XMM-Newton wide field survey in the COSMOS field: Clustering dependence of X-ray selected AGN on host galaxy properties

Validating the methodology for constraining the linear growth rate from clustering anisotropies


Multi-hop dense retrieval for question answering

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reasoning over Public and Private Data in Retrieval-Based Systems

Performance Prediction for Multi-hop Questions

CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge
  Graph Prompting


DualGAN-tensorflow: tensorflow implementation of DualGAN

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Asymmetric GAN for Unpaired Image-to-Image Translation

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

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

PCSGAN: Perceptual cyclic-synthesized generative adversarial networks for thermal and NIR to visible image transformation

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

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations

End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network


TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

TACTiS: Transformer-Attentional Copulas for Time Series

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process


Joint Neural Relation Extraction with Text and KGs

Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention

Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models


Force field for ionic liquids

Molecular force field for ionic liquids v: hydroxyethylimidazolium, dimethoxy-2- methylimidazolium, and fluoroalkylimidazolium cations and bis(fluorosulfonyl)amide, perfluoroalkanesulfonylamide, and fluoroalkylfluorophosphate anions.

Resolving dispersion and induction components for polarisable molecular simulations of ionic liquids

Effects of Silica Surfaces on the Structure and Dynamics of Room Temperature Ionic Liquids: A Molecular Dynamics Simulation Study

Ion Pair Free Energy Surface as a Probe of Ionic Liquid Structure


Population-scale genotyping using pangenome graphs

Graphtyper enables population-scale genotyping using pangenome graphs

GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs

Multiomics study of nonalcoholic fatty liver disease

Author Correction: Rare SLC13A1 variants associate with intervertebral disc disorder highlighting role of sulfate in disc pathology

Accurate sequence variant genotyping in cattle using variation-aware genome graphs

Novel sequencing technologies and bioinformatic tools for deciphering the non-coding genome

Thirty novel sequence variants impacting human intracranial volume


Genome Association Predict Integrate Tools

Adaptive and maladaptive introgression in grapevine domestication

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

Genome-Wide Association Study and Genomic Prediction for Soybean Cyst Nematode Resistance in USDA Common Bean (Phaseolus vulgaris) Core Collection

Genome-Wide Association Study to Identify Candidate Loci for Biomass Formation Under Water Deficit in Perennial Ryegrass

Genome-Wide Association Study and Genomic Prediction for Bacterial Wilt Resistance in Common Bean (Phaseolus vulgaris) Core Collection

A genome-wide association study and genomic prediction for Phakopsora pachyrhizi resistance in soybean

A Genome-Wide Association Study Reveals Region Associated with Seed Protein Content in Cowpea

Genome-Wide Association Study and Genomic Prediction of Fusarium Wilt Resistance in Common Bean Core Collection

International journal of molecular sciences

Genome and GWAS analysis identified genes significantly related to phenotypic state of Rhododendron bark

Genetic Diversity and Genome-Wide Association Study for the Phenology Response of Winter Wheats of North America, Western Asia, and Europe


IXA pipes Named Entity Tagger (http://ixa2.si.ehu.es/ixa-pipes).

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Robust multilingual Named Entity Recognition with shallow semi-supervised features

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

EliXa: A Modular and Flexible ABSA Platform

Building Named Entity Recognition Taggers via Parallel Corpora

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


Psycholinguistic experiments online

Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections

TED-Q: TED Talks and the Questions they Evoke

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

Understanding the Effects of Constraint and Predictability in ERP

Neurobiology of language (Cambridge, Mass.)

A Knowledge Graph Based Approach to Social Science Surveys

A-maze of Natural Stories: Comprehension and surprisal in the Maze task

Demonstratives as bundlers of conceptual structure

Glossa: a journal of general linguistics

Expressing Ignorance in Japanese: Contrastive wa versus sukunakutomo

Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution

Discourse and Form Constraints on Licensing Object-First Sentences in German

Toward an accommodation account of deaccenting under nonidentity


A Unified Python Library for Graph Prompting

All in One: Multi-Task Prompting for Graph Neural Networks

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

Graph Prompt Learning: A Comprehensive Survey and Beyond

ProG: A Graph Prompt Learning Benchmark


Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).

Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology


GNU Radio OOT module for demodulating and decoding ADS-B packets

On the Feasibility of Exploiting Traffic Collision Avoidance System Vulnerabilities

A Container-based Architecture to Provide Services from SDR Devices

International Conference on Industrial Informatics

A cloud-assisted ADS-B network for UAVs based on SDR

IEEE International Workshop on Metrology for AeroSpace


A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Cluster-Based Input Weight Initialization for Echo State Networks

PyRCN: A toolbox for exploration and application of Reservoir Computing Networks

Chemical reservoir computation in a self-organizing reaction network


File format, model, API, and apps for manipulating text and its annotated features

The Hebrew Bible as Data: Laboratory - Sharing - Experiences

LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible

SYNTACTIC VARIATION IN MASORETIC HEBREW, THE OBJECT CLAUSE RECONSIDERED

Annotation as a New Paradigm in Research Archiving

Parallel Texts in the Hebrew Bible, New Methods and Visualizations


An open-access benchmark and toolbox for electricity price forecasting

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting

Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting


Start with the Chempy tutorial

The challenge of simultaneously matching the observed diversity of chemical abundance patterns in cosmological hydrodynamical simulations

Towards a fully consistent Milky Way disk model

Recovery of the low- and high-mass end slopes of the IMF in massive early-type galaxies using detailed elemental abundances

Local disc model in view of Gaia DR1 and RAVE data


Federated Learning Utilities and Tools for Experimentation

Privacy-Preserving News Recommendation Model Learning

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Federated Multilingual Models for Medical Transcript Analysis

pfl-research: simulation framework for accelerating research in Private
  Federated Learning


3D Occupancy Prediction Benchmark in Autonomous Driving

Scene as Occupancy

MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

A Survey on Occupancy Perception for Autonomous Driving: The Information
  Fusion Perspective

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion


xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

xView: Objects in Context in Overhead Imagery

Aerial Vision-and-Dialog Navigation


CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Towards a Robust Deep Neural Network in Texts: A Survey

FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications


Web application to manage plants


nonlinear control optimization tool

An Optimal Control Approach to Sequential Machine Teaching

Real-time trajectory planning for automated vehicle safety and performance in dynamic environments

NLOptControl: A modeling language for solving optimal control problems


ChemEx is an analysis program for chemical exchange detected by NMR.

Measles virus nucleo- and phosphoproteins form liquid-like phase-separated compartments that promote nucleocapsid assembly

Thermal fluctuations of immature SOD1 lead to separate folding and misfolding pathways

Structural Basis of Membrane Protein Chaperoning through the Mitochondrial Intermembrane Space

Conserved conformational selection mechanism of Hsp70 chaperone-substrate interactions

How Detergent Impacts Membrane Proteins: Atomic-Level Views of Mitochondrial Carriers in Dodecylphosphocholine

The journal of physical chemistry letters

Visualizing protein breathing motions associated with aromatic ring flipping

Interleukin-2 druggability is modulated by global conformational transitions controlled by a helical capping switch

Correlating histone acetylation with nucleosome core particle dynamics and function

Chemical shift prediction of RNA imino groups: application toward characterizing RNA excited states

Structural basis and mechanism of the unfolding-induced activation of HdeA, a bacterial acid response chaperone


API Client for Global Surface Summary of the Day (GSOD) Weather Data Client in R

GSODR: Global Summary Daily Weather Data in R


Python framework for inference in Hawkes processes.

Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

Scalable Bayesian Inference for Excitatory Point Process Networks

EasyTPP: Towards Open Benchmarking Temporal Point Processes

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels

A Review of Network Inference Techniques for Neural Activation Time Series

HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?


Statistical fine-mapping pipeline in FinnGen

FinnGen: Unique genetic insights from combining isolated population and national health register data

Insights from complex trait fine-mapping across diverse populations

Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy

Leveraging global multi-ancestry meta-analysis in the study of idiopathic pulmonary fibrosis genetics


A set of tools for processing Quantitative MR Images

hMRI – A toolbox for quantitative MRI in neuroscience and clinical research

Behavioral, neuroanatomical, and molecular correlates of resilience and susceptibility to maternal immune activation

Whole-brain ex-vivo quantitative MRI of the cuprizone mouse model

Peripheral inflammation is associated with micro-structural and functional connectivity changes in depression-related brain networks

Individual behavioral trajectories shape whole-brain connectivity in mice

Mapping the impact of exposure to maternal immune activation on juvenile Wistar rat brain macro- and microstructure during early post-natal development


Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs

International Conference on Computer Communications

Network Sampling: From Static to Streaming Graphs

On random walk based graph sampling

International Conference on Data Engineering

Fast Sequence-Based Embedding with Diffusion Graphs

Sampling social networks using shortest paths

Physica A: Statistical Mechanics and its Applications

Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness

Little Ball of Fur: A Python Library for Graph Sampling

Leveraging History for Faster Sampling of Online Social Networks

Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion


De novo genome assembler for long uncorrected reads

Raven: a de novo genome assembler for long reads

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

De novosequencing, diploid assembly, and annotation of the black carpenter ant,Camponotus pennsylvanicus, and its symbionts by one person for $1000, using nanopore sequencing

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

Highly conserved composite transposon harbouring aerobactin iuc3 in Klebsiella pneumoniae from pigs

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Complete Genome Sequence of Staphylococcus aureus PS/BAC/169/17/W, Isolated from a Contaminated Platelet Concentrate in England

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology

Chromosomal integration and plasmid fusion occurring in ST20 carbapenem-resistant Klebsiella pneumoniae isolates coharboring bla NDM-1 and bla IMP-4 induce resistance transmission and fitness variation


Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.

A transcriptomic axis predicts state modulation of cortical interneurons

Orbitofrontal control of visual cortex gain promotes visual associative learning

Behavioral origin of sound-evoked activity in mouse visual cortex

Facemap: a framework for modeling neural activity based on orofacial tracking

Dopamine Axons in Dorsal Striatum Encode Contralateral Visual Stimuli and Choices

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

Cholinergic and noradrenergic axonal activity contains a behavioral-state signal that is coordinated across the dorsal cortex

Visuomotor association orthogonalizes visual cortical population codes

Altered corollary discharge signaling in the auditory cortex of a mouse model of schizophrenia predisposition


Decision Analytic Modeling (DAM) package is a suite of functions for analyzing and visualizing the health economic outputs of mathematical models

hesim: Health Economic Simulation Modeling and Decision Analysis

An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example


Statistical comparison of two networks with respect to three invariance measures

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

The application of a network approach to Health-Related Quality of Life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation

How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population

Anti-roma Bias (Stereotypes, Prejudice, Behavioral Tendencies): A Network Approach Toward Attitude Strength

The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF)

Outcome measurement in mental health services: insights from symptom networks


A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.

NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks

Molecular layer interneurons in the cerebellum encode for valence in associative learning

Construction and imaging of a neurovascular unit model

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations


An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.

Qibo: a framework for quantum simulation with hardware acceleration

Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization

Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers

Application of QUBO solver using black-box optimization to structural design for resonance avoidance

Quantum annealing algorithms for Boolean tensor networks

An open-source modular framework for quantum computing

Simulations of frustrated Ising Hamiltonians using quantum approximate optimization

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Particle track reconstruction with noisy intermediate-scale quantum computers

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases

Sampling binary sparse coding QUBO models using a spiking neuromorphic processor


Downscaling & bias correction of CMIP6 tasmin, tasmax,  and pr for the R/CIL GDPCIR project

The ERA5 global reanalysis

Quarterly Journal of the Royal Meteorological Society

Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?


A frequency-domain dynamics model for floating wind turbines


Microsoft SEAL 4.X For Python

A survey on implementations of homomorphic encryption schemes

Measuring Linkability of Protected Biometric Templates Using Maximal Leakage

IEEE Transactions on Information Forensics and Security

CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network

Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication

EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

Secure Vertical Federated Learning Under Unreliable Connectivity

Homomorphic encryption for stochastic computing


Modeling molecular ensembles with scalable data structures and parallel computing

The Cap-Snatching SFTSV Endonuclease Domain Is an Antiviral Target

Apolipoprotein E4 has extensive conformational heterogeneity in lipid-free and lipid-bound forms

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

Flap Dynamics in Pepsin-Like Aspartic Proteases: A Computational Perspective Using Plasmepsin-II and BACE-1 as Model Systems

The nepenthesin insert in the Plasmodium falciparum aspartic protease plasmepsin V is necessary for enzyme function


A modular Hi-C mapping pipeline

A mechanism of cohesin‐dependent loop extrusion organizes zygotic genome architecture

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

FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data

Coolpup.py: versatile pile-up analysis of Hi-C data

A central role for canonical PRC1 in shaping the 3D nuclear landscape

Transcription shapes 3D chromatin organization by interacting with loop extrusion

Genetic and spatial organization of the unusual chromosomes of the dinoflagellate Symbiodinium microadriaticum

Pairtools: From sequencing data to chromosome contacts

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

Cohesin is required for long-range enhancer action at the Shh locus


AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

Waste detection in Pomerania: non-profit project for detecting waste in environment.


Quantum dynamics package based on tensor network states

A general charge transport picture for organic semiconductors with nonlocal electron-phonon couplings

A general automatic method for optimal construction of matrix product operators using bipartite graph theory

Efficient quantum simulation of electron-phonon systems by variational basis state encoder

TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era

Hybrid Quantum-Classical Boson Sampling Algorithm for Molecular Vibrationally Resolved Electronic Spectroscopy with Duschinsky Rotation and Anharmonicity

Unbiasing Fermionic Auxiliary-Field Quantum Monte Carlo with Matrix
  Product State Trial Wavefunctions

Optimal tree tensor network operators for tensor network simulations: Applications to open quantum systems


Training neural network potentials

TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Pre-training via Denoising for Molecular Property Prediction

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics

Journal of chemical information and modeling

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials

Fractional Denoising for 3D Molecular Pre-training

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations

NNP/MM: Accelerating molecular dynamics simulations with machine learning potentials and molecular mechanic

Self-Consistency Training for Hamiltonian Prediction


Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer

Towards Adaptive Grids for Atmospheric Boundary-Layer Simulations

The Benefits and Challenges of Downscaling a Global Reanalysis With Doubly‐Periodic Large‐Eddy Simulations

Journal of Advances in Modeling Earth Systems


PowerAPI is a Python framework for building software-defined power meters.


A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

FedLab: A Flexible Federated Learning Framework

Recent Advances on Federated Learning: A Systematic Survey

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP

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

Federated Model Decomposition with Private Vocabulary for Text Classification

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


Benchmark environments for reward modelling and imitation learning algorithms.

imitation: Clean Imitation Learning Implementations

Learn what matters: cross-domain imitation learning with task-relevant embeddings

On The Fragility of Learned Reward Functions

A Primer on Maximum Causal Entropy Inverse Reinforcement Learning

DERAIL: Diagnostic Environments for Reward And Imitation Learning


Tarski - An AI Planning Modeling Framework

Approximate Novelty Search

Semantic Attachments for HTN Planning

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

Synthesis of Procedural Models for Deterministic Transition Systems

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning