Prodigal Gene Prediction Software

Prevotella copri increases fat accumulation in pigs fed with formula diets

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

VPF-Class: taxonomic assignment and host prediction of uncultivated viruses based on viral protein families

A methylotrophic origin of methanogenesis and early divergence of anaerobic multicarbon alkane metabolism

Machine learning for metagenomics: methods and tools

Characterization of phage resistance and phages capable of intestinal decolonization of carbapenem-resistant Klebsiella pneumoniae in mice

Alterations of Gut Microbiome and Metabolite Profiling in Mice Infected by Schistosoma japonicum

Lactic Acid Bacteria Diversity and Characterization of Probiotic Candidates in Fermented Meats

A Method for Improving the Accuracy and Efficiency of Bacteriophage Genome Annotation

International journal of molecular sciences

Maternally inherited piRNAs direct transient heterochromatin formation at active transposons during early Drosophila embryogenesis


fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level. fpocket is distributed as free open source software. If you are interested in integrating fpocket in an industrial setting and require official support, please contact Discngine (www.discngine.com).

Drug Discovery for Mycobacterium tuberculosis Using Structure-Based Computer-Aided Drug Design Approach

Open-Source Machine Learning in Computational Chemistry

Journal of chemical information and modeling

TargetDB: A target information aggregation tool and tractability predictor

SHREC 2022: Protein-ligand binding site recognition

Intermolecular Interactions in G Protein-Coupled Receptor Allosteric Sites at the Membrane Interface from Molecular Dynamics Simulations and Quantum Chemical Calculations

Zenodo (CERN European Organization for Nuclear Research)

Open-Source Browser-Based Tools for Structure-Based Computer-Aided Drug Discovery

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Unveiling New Druggable Pockets in Influenza Non-Structural Protein 1: NS1–Host Interactions as Antiviral Targets for Flu


A rectangular pixel map manipulation and harmonic analysis library derived from Sigurd Naess' enlib.

The Atacama Cosmology Telescope: DR4 maps and cosmological parameters

Journal of Cosmology and Astroparticle Physics

The Atacama Cosmology Telescope: a measurement of the Cosmic Microwave Background power spectra at 98 and 150 GHz

The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev-Zel'dovich Galaxy Clusters

The Astrophysical Journal Supplement Series

Atacama Cosmology Telescope: Combined kinematic and thermal Sunyaev-Zel'dovich measurements from BOSS CMASS and LOWZ halos

The Websky extragalactic CMB simulations

Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect

The Atacama Cosmology Telescope: arcminute-resolution maps of 18,000 square degrees of the microwave sky from ACT 2008-2018 data combined with Planck

Joint constraints on cosmology and the impact of baryon feedback: Combining KiDS-1000 lensing with the thermal Sunyaev–Zeldovich effect from Planck and ACT

Strong detection of the CMB lensing and galaxy weak lensing cross-correlation from ACT-DR4, Planck Legacy, and KiDS-1000

The Atacama Cosmology Telescope: Detection of the pairwise kinematic Sunyaev-Zel’dovich effect with SDSS DR15 galaxies


15MW reference wind turbine repository developed in conjunction with IEA Wind

Comparison of loads from HAWC2 and OpenFAST for the IEA Wind 15 MW Reference Wind Turbine

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Structural Optimisation of Offshore Direct-Drive Wind Turbine Generators Including Static and Dynamic Analyses


Scripts that Bio2RDF users have created to generate RDF versions of scientific datasets

PubChemRDF: towards the semantic annotation of PubChem compound and substance databases

Ontology-Based Querying with Bio2RDF’s Linked Open Data

The health care and life sciences community profile for dataset descriptions

Automatically exposing OpenLifeData via SADI semantic Web Services

Determining similarity of scientific entities in annotation datasets

Database : the journal of biological databases and curation

Selected papers from the 15th Annual Bio-Ontologies Special Interest Group Meeting

Do Developers Refactor Data Access Code? An Empirical Study


AutoDock Vina

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

ChemTSv2: Democratizing Functional Molecular Design Using de novo Molecule Generator

Wiley Interdisciplinary Reviews Computational Molecular Science

Discovery of Potential Inhibitors of SARS-CoV-2 Main Protease by a Transfer Learning Method

Discovering Potential Anti-Oral Squamous Cell Carcinoma Mechanisms from Kochiae Fructus Using Network-Based Pharmacology Analysis and Experimental Validation


Official MOHID Water Modelling System repository

Sensitivity Analysis of the MOHID-Land Hydrological Model: A Case Study of the Ulla River Basin


ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

ConvoKit: A Toolkit for the Analysis of Conversations

Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop

Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations

Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations

Canadian Conference on Artificial Intelligence


Convert HTML to Markdown-formatted text.

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

Meeting of the Association for Computational Linguistics

Complex Claim Verification with Evidence Retrieved in the Wild

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

Understanding Retrieval Augmentation for Long-Form Question Answering

Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps

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

Inspo: Writing Stories with a Flock of AIs and Humans

Monitoring Technoscientific Issues in the News

General resource for ionospheric transient investigations (GRITI): An open-source code developed in support of the Dinsmore et al. (2021) results


Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Hindsight Learning for MDPs with Exogenous Inputs

Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations


Pipeline elements for 3x2pt analysis (shear-shear, shear-density, density-density) for DC2

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

The LSST-DESC 3x2pt Tomography Optimization Challenge

Transitioning from Stage-III to Stage-IV: Cosmology from galaxy×CMB lensing and shear×CMB lensing

CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments


A Python Package for Protein Dynamics Analysis

ProDy 2.0: increased scale and scope after 10 years of protein dynamics modelling with Python

Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity

ClustENMD: efficient sampling of biomolecular conformational space at atomic resolution

Scipion-EM-ProDy: A Graphical Interface for the ProDy Python Package within the Scipion Workflow Engine Enabling Integration of Databases, Simulations and Cryo-Electron Microscopy Image Processing


The Python Spectroscopic Data Reduction Pipeline

A Luminous Quasar at Redshift 7.642

Pōniuā‘ena: A Luminous z = 7.5 Quasar Hosting a 1.5 Billion Solar Mass Black Hole

The low density and magnetization of a massive galaxy halo exposed by a fast radio burst

A Significantly Neutral Intergalactic Medium Around the Luminous z = 7 Quasar J0252–0503

Probing Early Super-massive Black Hole Growth and Quasar Evolution with Near-infrared Spectroscopy of 37 Reionization-era Quasars at 6.3 < z <= 7.64

The X-SHOOTER/ALMA Sample of Quasars in the Epoch of Reionization. I. NIR Spectral Modeling, Iron Enrichment, and Broad Emission Line Properties

First Spectroscopic Study of a Young Quasar

Revealing the Accretion Physics of Supermassive Black Holes at Redshift z ∼ 7 with Chandra and Infrared Observations

EIGER I. a large sample of [OIII]-emitting galaxies at $5.3 < z < 6.9$ and direct evidence for local reionization by galaxies

The role of galaxies and AGN in reionizing the IGM – III. IGM–galaxy cross-correlations at z ∼ 6 from eight quasar fields with DEIMOS and MUSE

Monthly notices of the Royal Astronomical Society


Creative Commons Attribution 4.0 International

The Confidential Consortium Blockchain Framework is an open-source system that enables high-scale, confidential blockchain networks that meet all key enterprise requirements—providing a means to accelerate production enterprise adoption of blockchain technology.

S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX

A Review on Recent Progress of Smart Contract in Blockchain

Hybridchain: A Novel Architecture for Confidentiality-Preserving and Performant Permissioned Blockchain Using Trusted Execution Environment

An Accountable Decryption System Based on Privacy-Preserving Smart Contracts

Truxen: A Trusted Computing Enhanced Blockchain


TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

Software Engineering Challenges of Deep Learning

Software Engineering and Advanced Applications

BigDL: A Distributed Deep Learning Framework for Big Data

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

A Scalable Platform for Distributed Object Tracking Across a Many-Camera Network

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification


Verilog implementation of the symmetric block cipher AES (Advanced Encryption Standard) as specified in NIST FIPS 197. This implementation supports 128 and 256 bit keys.

An Experimental Study of Building Blocks of Lattice-Based NIST Post-Quantum Cryptographic Algorithms

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

Biometric Face Presentation Attack Detection With Multi-Channel Convolutional Neural Network

IEEE Transactions on Information Forensics and Security

Disentangled Variational Representation for Heterogeneous Face Recognition

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Dual-Attention GAN for Large-Pose Face Frontalization

Deep Learning for Face Recognition: Pride or Prejudiced?

ReMix: Towards Image-to-Image Translation with Limited Data

A Community Detection Approach to Cleaning Extremely Large Face Database

Computational intelligence and neuroscience

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Multispectral Face Recognition Using Transfer Learning with Adaptation of Domain Specific Units


Temporal Segment Networks (TSN) in PyTorch

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery

Lightweight Network Architecture for Real-Time Action Recognition

Relational Self-Attention: What's Missing in Attention for Video Understanding

Towards Real-Time Action Recognition on Mobile Devices Using Deep Models

Are you Struggling? Dataset and Baselines for Struggle Determination in
  Assembly Videos


Visualize Solidity control flow for smart contract security analysis.  :dollar: ⇆ :dollar:

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

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Scilla: a Smart Contract Intermediate-Level LAnguage

Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

SMACS: Smart Contract Access Control Service

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media

A Survey of Verification, Validation and Testing Solutions for Smart Contracts

Continuous and Secure Integration Framework for Smart Contracts

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination
  for Simulated-World Control

Behavioral Cloning via Search in Embedded Demonstration Dataset


Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Towards Driving-Oriented Metric for Lane Detection Models

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving


Metagol - an inductive logic programming system

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Meta-interpretive learning: application to grammatical inference

Turning 30: New Ideas in Inductive Logic Programming

Learning programs by learning from failures

Inductive logic programming at 30: a new introduction

The ILASP system for Inductive Learning of Answer Set Programs

Inductive Logic Programming via Differentiable Deep Neural Logic Networks

Exploiting Answer Set Programming with External Sources for Meta-Interpretive Learning

Learning higher-order logic programs

From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey


Named Entity Recognition

Recurrent Neural Network Grammars

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

Discovering Dialogue Slots with Weak Supervision

Distant Supervision for Sentiment Attitude Extraction

Recent Advances in Natural Language Processing


Mastering Diverse Domains through World Models

TD-MPC2: Scalable, Robust World Models for Continuous Control

SafeDreamer: Safe Reinforcement Learning with World Models

Equivariant Reinforcement Learning under Partial Observability

Informed POMDP: Leveraging Additional Information in Model-Based RL

HarmonyDream: Task Harmonization Inside World Models

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL

EfficientZero V2: Mastering Discrete and Continuous Control with Limited
  Data

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty


Circular visualization in R

Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer’s model mice

Bacterial Physiological Adaptations to Contrasting Edaphic Conditions Identified Using Landscape Scale Metagenomics

Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility

Identifying unknown Indian wolves by their distinctive howls: its potential as a non-invasive survey method

Climate change may induce connectivity loss and mountaintop extinction in Central American forests

Genetic Architecture of Powdery Mildew Resistance Revealed by a Genome-Wide Association Study of a Worldwide Collection of Flax (Linum usitatissimum L.)

Overview of Genomic Tools for Circular Visualization in the Next-generation Genomic Sequencing Era

MetaMed: Linking Microbiota Functions with Medicine Therapeutics

Crossing Bacterial Genomic Features and Methylation Patterns with MeStudio: An Epigenomic Analysis Tool

International journal of molecular sciences


Behavior trees for Unity3D projects. Written with a code driven approach on the builder pattern.

A Survey of Behavior Trees in Robotics and AI

KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multirobot Systems

IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multi-Robot Systems Through Communication Eavesdropping


Open-Source Machine Translation Quality Estimation in PyTorch

OpenKiwi: An Open Source Framework for Quality Estimation

Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

Empirical Methods in Natural Language Processing

IST-Unbabel 2021 Submission for the Quality Estimation Shared Task

Tencent submission for WMT20 Quality Estimation Shared Task

TMUOU Submission for WMT20 Quality Estimation Shared Task

DeepSPIN: Deep Structured Prediction for Natural Language Processing

European Association for Machine Translation Conferences/Workshops

Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement

The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)


OpenAGI: When LLM Meets Domain Experts

OpenAGI: When LLM Meets Domain Experts

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents


HAETAE: Shorter Lattice-Based Fiat-Shamir Signatures

IACR Transactions on Cryptographic Hardware and Embedded Systems

Aggregable Confidential Transactions for Efficient Quantum-Safe Cryptocurrencies

From MLWE to RLWE: A Differential Fault Attack on Randomized & Deterministic Dilithium

An End-to-End Analysis of EMFI on Bit-sliced Post-Quantum Implementations

High-Throughput GPU Implementation of Dilithium Post-Quantum Digital Signature

Revisiting Keccak and Dilithium Implementations on ARMv7-M


Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Targeted in silico characterization of fusion transcripts in tumor and normal tissues via FusionInspector

High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing


Python library to train neural networks with a strong focus on hydrological applications.

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models

Deep learning rainfall-runoff predictions of extreme events

Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks

Zenodo (CERN European Organization for Nuclear Research)

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Benchmarking Data-Driven Rainfall-Runoff Models in Great
Britain: A comparison of LSTM-based models with four lumped
conceptual models


Keras implementation of Deeplab v3+ with pretrained weights

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Large-scale detection and categorization of oil spills from SAR images with deep learning

Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations

SPIQ: Data-Free Per-Channel Static Input Quantization

MolMiner: You Only Look Once for Chemical Structure Recognition

Journal of chemical information and modeling


Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Best Practices for Scientific Research on Neural Architecture Search

Efficient Forward Architecture Search

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

FEAR: A Simple Lightweight Method to Rank Architectures


Code for internal lab sharing - polishing has started but is by no means complete

Layer-Specific Physiological Features and Interlaminar Interactions in the Primary Visual Cortex of the Mouse

Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway

A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

Fos ensembles encode and shape stable spatial maps in the hippocampus

Origin of Gamma Frequency Power during Hippocampal Sharp-Wave Ripples

Brain-wide interactions during hippocampal sharp wave ripples

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

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Hippocampal place codes are gated by behavioral engagement

Sub-second dynamics of theta-gamma coupling in hippocampal CA1

Subiculum as a generator of sharp wave-ripples in the rodent hippocampus


Variational Quantum Circuit Simulator for Quantum Computation Research

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design

Quantum Long Short-Term Memory

Estimating the gradient and higher-order derivatives on quantum hardware

Qibo: a framework for quantum simulation with hardware acceleration

Calculation of the Green's function on near-term quantum computers

Jastrow-type Decomposition in Quantum Chemistry for Low-Depth Quantum Circuits

Journal of chemical theory and computation

Theory of analytical energy derivatives for the variational quantum eigensolver

TEQUILA: a platform for rapid development of quantum algorithms

A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers

Variational quantum algorithm for nonequilibrium steady states


Speech recognition module for Python, supporting several engines and APIs, online and offline.

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing

Speech-Based Surgical Phase Recognition for Non-Intrusive Surgical Skills’ Assessment in Educational Contexts

Generating machine-executable plans from end-user's natural-language instructions

Kosp2e: Korean Speech to English Translation Corpus

Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Systematic Analysis

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Transcranial Magnetic Stimulation-Induced Motor Cortex Activity Influences Visual Awareness Judgments

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application


This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

Meeting of the Association for Computational Linguistics

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations

Unsupervised Compositionality Prediction of Nominal Compounds

International Conference on Computational Logic

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory

Incorporating Subword Information into Matrix Factorization Word Embeddings

Comparative Analysis of Word Embeddings for Capturing Word Similarities

Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata

Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings

Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics


BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

Deep contextualized word representations

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Alternative Weighting Schemes for ELMo Embeddings

Identifying communicative functions in discourse with content types


Deep Reinforcement Learning For Sequence to Sequence Models

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation


BERT model trained from scratch on Finnish

Multilingual is not enough: BERT for Finnish

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Finnish News Corpus for Named Entity Recognition

KR-BERT: A Small-Scale Korean-Specific Language Model

Pre-training Polish Transformer-based Language Models at Scale

Large-Scale Contextualised Language Modelling for Norwegian

The Current State of Finnish NLP

MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning

Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users

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

Towards Fully Bilingual Deep Language Modeling


Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

Findings of the Association for Computational Linguistics: ACL 2022

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web

Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs

International Conference on Computational Linguistics


ChatYuan: Large Language Model for Dialogue in Chinese and English

Zero-Shot Cross-Lingual Summarization via Large Language Models

Understanding LLMs: A Comprehensive Overview from Training to Inference

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations
  in Bilingual Socio-Cultural Conversations


Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

Mask2Former for Video Instance Segmentation

A General-Purpose Self-Supervised Model for Computational Pathology

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation

RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis


MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations

A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations

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

A Preliminary Study on Realizing Human–Robot Mental Comforting Dialogue via Sharing Experience Emotionally

An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition

A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog

Whose emotion matters? Speaking activity localisation without prior knowledge


A cross-platform and ultrafast toolkit for FASTA/Q file manipulation

SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation

A chromosome-level Amaranthus cruentus genome assembly highlights gene family evolution and biosynthetic gene clusters that may underpin the nutritional value of this traditional crop

The Plant journal : for cell and molecular biology

Einkorn genomics sheds light on history of the oldest domesticated wheat

Rapid and comprehensive diagnostic method for repeat expansion diseases using nanopore sequencing

Systematic benchmarking of nanopore Q20+ kit in SARS-CoV-2 whole genome sequencing

Biallelic expansion in RFC1 as a rare cause of Parkinson’s disease

Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies

Whole-Genome Sequence of Entomortierella parvispora E1425, a Mucoromycotan Fungus Associated with Burkholderiaceae-Related Endosymbiotic Bacteria

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis

KEGG_Extractor: An Effective Extraction Tool for KEGG Orthologs


:whale: Scripps Whale Acoustics Lab   :earth_americas: Scripps Acoustic Ecology Lab - Triton with remoras in development

Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods

Ultrasonic antifouling devices negatively impact Cuvier’s beaked whales near Guadalupe Island, México

SoundScape learning: An automatic method for separating fish chorus in marine soundscapes.

The Journal of the Acoustical Society of America

Characterizing the Long-Term, Wide-Band and Deep-Water Soundscape Off Hawai’i

First Description of the Underwater Sounds in the Mediterranean Monk Seal Monachus monachus in Greece: Towards Establishing a Vocal Repertoire

Animals : an open access journal from MDPI


Uniform metadata schema for buildings

A case study comparing the completeness and expressiveness of two industry recognized ontologies

Formalizing Tag-Based Metadata With the Brick Ontology


A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation


Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Graph Neural Networks: A Review of Methods and Applications

Benchmarking Graph Neural Networks

Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Graph Neural Networks: Methods, Applications, and Opportunities

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Distributed Graph Neural Network Training: A Survey

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking

CogDL: A Comprehensive Library for Graph Deep Learning

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators


Marabou Neural Network Verification Framework for Python

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

A Review of Formal Methods applied to Machine Learning

Parallelization Techniques for Verifying Neural Networks

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

Efficient Neural Network Analysis with Sum-of-Infeasibilities

Global Optimization of Objective Functions Represented by ReLU Networks

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

Toward Certified Robustness Against Real-World Distribution Shifts

From Robustness to Explainability and Back Again


An ontology of gross anatomy covering metazoa. Works in concert with https://github.com/obophenotype/cell-ontology

Uberon, an integrative multi-species anatomy ontology

Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon

The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals

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

Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas

Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals

Taxonomy-Based Approaches to Quality Assurance of Ontologies

Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project


⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

Efficient Streaming Language Models with Attention Sinks

Prune Once for All: Sparse Pre-Trained Language Models

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Efficient LLM Inference on CPUs

Effective Quantization for Diffusion Models on CPUs

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM

Fast DistilBERT on CPUs


Sequence-to-graph mapper and graph generator

A draft human pangenome reference

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

Pan-mitogenomics reveals the genetic basis of cytonuclear conflicts in citrus hybridization, domestication, and diversification

The design and construction of reference pangenome graphs

Phylogenomic Analysis of the Plastid Genome of the Peruvian Purple Maize Zea mays subsp. mays cv. ‘INIA 601’


Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Slimmable Neural Networks

Universally Slimmable Networks and Improved Training Techniques

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

Dynamic ConvNets on Tiny Devices via Nested Sparsity


Predictive kmer models for development use

A nanopore interface for higher bandwidth DNA computing

Uncalled4 improves nanopore DNA and RNA modification detection via fast and accurate signal alignment

bioRxiv : the preprint server for biology

Simulation of nanopore sequencing signal data with tunable parameters

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling

SimReadUntil for Benchmarking Selective Sequencing Algorithms on ONT Devices


Ultrafast de novo assembly for long noisy reads (though having no consensus step)

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Nanopore DNA Sequencing and Genome Assembly on the International Space Station

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

FMLRC: Hybrid long read error correction using an FM-index

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

HASLR: Fast Hybrid Assembly of Long Reads

MinION rapid sequencing: Review of potential applications in neurosurgery

RETRACTED ARTICLE: Selective inheritance of target genes from only one parent of sexually reproduced F1 progeny in Arabidopsis

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates


Soft Actor-Critic

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

Addressing Function Approximation Error in Actor-Critic Methods

Latent Space Policies for Hierarchical Reinforcement Learning

Establishing Appropriate Trust via Critical States

Regularization Matters in Policy Optimization

Policy Optimization as Wasserstein Gradient Flows

Dynamics-aware Embeddings

VIREL: A Variational Inference Framework for Reinforcement Learning

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Deep Reinforcement Learning


FSGAN - Official PyTorch Implementation

FSGAN: Subject Agnostic Face Swapping and Reenactment

Deep Learning for Deepfakes Creation and Detection: A Survey

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

KoDF: A Large-scale Korean DeepFake Detection Dataset

A Review of Image Processing Techniques for Deepfakes

Learning Disentangled Representation for One-shot Progressive Face Swapping

Multilingual Audio-Visual Smartphone Dataset And Evaluation


[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

LDB: A Large Language Model Debugger via Verifying Runtime Execution
  Step-by-step

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows

Future of ADHD Care: Evaluating the Efficacy of ChatGPT in Therapy Enhancement

AI Agents That Matter

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy

Beyond Natural Language: LLMs Leveraging Alternative Formats for
  Enhanced Reasoning and Communication

Agent Planning with World Knowledge Model


AEC Challenge

ICASSP 2022 Acoustic Echo Cancellation Challenge

AECMOS: A Speech Quality Assessment Metric for Echo Impairment

F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement

ICASSP 2023 Acoustic Echo Cancellation Challenge

Acoustic Echo Cancellation using Residual U-Nets

Real-time speech enhancement with dynamic attention span


A tool for retrosynthetic planning

AiZynthFinder: A Fast Robust and Flexible Open-Source Software for Retrosynthetic Planning

Datasets and Their Influence on the Development of Computer Assisted Synthesis Planning Tools in the Pharmaceutical Domain

Retrosynthetic Accessibility Score (RAscore) - Rapid Machine Learned Synthesizability Classification from AI Driven Retrosynthetic Planning

Clustering of Synthetic Routes Using Tree Edit Distance

Fast prediction of distances between synthetic routes with deep learning

Machine Learning: Science and Technology

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications

A Quick Policy to Filter Reactions Based on Feasibility in AI-Guided Retrosynthetic Planning

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension

AiZynthFinder 4.0: developments based on learnings from 3 years of industrial application


PacBio Secondary Analysis Tools on Bioconda. Contains list of PacBio packages available via conda.

Most Genomic Loci Misrepresent the Phylogeny of an Avian Radiation Because of Ancient Gene Flow

A high-quality genome assembly from a single, field-collected spotted lanternfly (Lycorma delicatula) using the PacBio Sequel II system

Co-Occurrence of Listeria spp. and Spoilage Associated Microbiota During Meat Processing Due to Cross-Contamination Events

Genomic consequences of domestication of the Siamese fighting fish

Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation

An intronic transposon insertion associates with a trans-species color polymorphism in Midas cichlid fishes

Long-read HiFi sequencing correctly assembles repetitive heavy fibroin silk genes in new moth and caddisfly genomes

Representing sex chromosomes in genome assemblies

Convergent Rewiring of the Virulence Regulatory Network Promotes Adaptation of Ralstonia solanacearum on Resistant Tomato

Aerobic and anaerobic methane oxidation in a seasonally anoxic basin


Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

Text mining for social science - The state and the future of computational text analysis in sociology.

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

Unsupervised Keyphrase Extraction via Interpretable Neural Networks

Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust


Viral genomics analysis pipelines

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Journal of visualized experiments : JoVE

Powassan Virus Neuropathology and Genomic Diversity in Patients With Fatal Encephalitis

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses

VGEA: an RNA viral assembly toolkit

The Prevalence of Undiagnosed Salmonella enterica Serovar Typhi in Healthy School-Aged Children in Osun State, Nigeria

Natural history of Ebola virus disease in rhesus monkeys shows viral variant emergence dynamics and tissue-specific host responses


OMNeT++ V2X simulation framework for ETSI ITS-G5

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

Networked Roadside Perception Units for Autonomous Driving

Regain Control of Growing Dependencies in OMNeT++ Simulations

Observations on OMNeT++ Real-Time Behaviour


ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation

Secure and Efficient Federated Transfer Learning

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

Secure Machine Learning over Relational Data


Count the MACs / FLOPs of your PyTorch model.

Diffusion Models Beat GANs on Image Synthesis

Green AI

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Epipolar Transformers

Surface Representation for Point Clouds

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

Person Re-Identification via Attention Pyramid

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

Text Style Transfer: A Review and Experimental Evaluation

Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

An efficient encoder-decoder architecture with top-down attention for speech separation


A wrapper script to build whole-program LLVM bitcode files

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

PACStack: an Authenticated Call Stack

Mart: a mutant generation tool for LLVM

Protecting the stack with PACed canaries

Taming transitive redundancy for context-free language reachability

Proceedings of the ACM on Programming Languages

Recursive State Machine Guided Graph Folding for Context-Free Language Reachability

Proceedings of the ACM on programming languages

Evaluating Manual Intervention to Address the Challenges of Bug Finding with KLEE

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

TrackFM: Far-out Compiler Support for a Far Memory World

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1

iOLLVM: Enhanced Version of OLLVM

Artificial Intelligence Trends & Technologies


A Variant Call Format reader for Python.

WhatsHap: fast and accurate read-based phasing

A bioinformatics workflow for detecting signatures of selection in genomic data

A reference haplotype panel for genome-wide imputation of short tandem repeats

Subgenomic RNA identification in SARS-CoV-2 genomic sequencing data

A phased SNP-based classification of sickle cell anemia HBB haplotypes

Diploid-dominant life cycles characterize the early evolution of Fungi

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

Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana

Immunogenicity of convalescent and vaccinated sera against clinical isolates of ancestral SARS-CoV-2, Beta, Delta, and Omicron variants

The Genomic Impact of Selection for Virulence against Resistance in the Potato Cyst Nematode, Globodera pallida

Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets


Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

PyGAD: An Intuitive Genetic Algorithm Python Library

ZOOpt: a toolbox for derivative-free optimization

Prototype-based Counterfactual Explanation for Causal Classification.

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows

Causality-based Counterfactual Explanation for Classification Models


A Privacy-Preserving Framework Based on TensorFlow

FedLab: A Flexible Federated Learning Framework

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation

Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey

MORSE-STF: A Privacy Preserving Computation System.

Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning


Extensible specification for representing and uniquely identifying biological sequence variation

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

The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification

The GA4GH Variation Representation Specification (VRS): a Computational Framework for the Precise Representation and Federated Identification of Molecular Variation

Development and application of a computable genotype model in the GA4GH Variation Representation Specification


DomainBed is a suite to test domain generalization algorithms

Deep Residual Learning for Image Recognition

Domain-Adversarial Training of Neural Networks

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

Invariant Risk Minimization

Deeper, Broader and Artier Domain Generalization

Learning to Generalize: Meta-Learning for Domain Generalization

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

In Search of Lost Domain Generalization


A library for numerical weather prediction and climate modelling


A pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)

Improved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

Comparing Redundant and Sky-model-based Interferometric Calibration: A First Look with Phase II of the MWA

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

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

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

pyuvdata: an interface for astronomical interferometeric datasets in python

Foreground modelling via Gaussian process regression: an application to HERA data

Monthly notices of the Royal Astronomical Society

Quantifying excess power from radio frequency interference in Epoch of Reionization measurements

Monthly Notices of the Royal Astronomical Society

Quantifying EoR delay spectrum contamination from diffuse radio emission

Array element coupling in radio interferometry I: a semi-analytic approach


Parser for TOSCA Simple Profile in YAML. Mirror of code maintained at opendev.org.

Orchestrating Complex Application Architectures in Heterogeneous Clouds

Component‐aware orchestration of cloud‐based enterprise applications, from TOSCA to Docker and Kubernetes

Towards Semantic Detection of Smells in Cloud Infrastructure Code

Model-Based Cloud Resource Management with TOSCA and OCCI

RDCL 3D, a Model Agnostic Web Framework for the Design and Composition of NFV Services

Mantus: Putting Aspects to Work for Flexible Multi-Cloud Deployment

Zenodo (CERN European Organization for Nuclear Research)

A Declarative Modelling Framework for the Deployment and Management of Blockchain Applications

APMEC: An Automated Provisioning Framework for Multi-access Edge Computing


Logistics & marketplace platform. Only for worker-owned business.


:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

Fine-Grained Head Pose Estimation Without Keypoints

Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

State of the Art of Quality Assessment of Facial Images

Computer Vision Tasks for Ambient Intelligence in Children's Health


Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Maximum Entropy Deep Inverse Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Learning Soft Constraints From Constrained Expert Demonstrations

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees


[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic
  Planning

DualAD: Disentangling the Dynamic and Static World for End-to-End
  Driving


:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Random Erasing Data Augmentation

Pose-Normalized Image Generation for Person Re-identification

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification


Classification with PyTorch.

Certified Adversarial Robustness via Randomized Smoothing

On the Variance of the Adaptive Learning Rate and Beyond

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

Systematic Evaluation of Privacy Risks of Machine Learning Models

Differentially Private Learning Needs Better Features (or Much More Data)

Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.


Global spatial predictions of soil properties and classes at 250 m resolution

CCAM: China Catchment Attributes and Meteorology dataset

The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2


Beautiful LaTeX dissertation templates.

Classification and Construction of Topological Phases of Quantum Matter

On streaming approximation algorithms for constraint satisfaction problems

Universality in Non-Equilibrium Quantum Systems

Modeling Multiphase Flow Through and Around Multiscale Deformable Porous Materials


[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

Kernel Diffusion: An Alternate Approach to Blind Deconvolution

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion
  Models


EVA Series: Visual Representation Fantasies from BAAI

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

EVA-CLIP: Improved Training Techniques for CLIP at Scale

EVA-02: A Visual Representation for Neon Genesis

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs

Why are Visually-Grounded Language Models Bad at Image Classification?


DMTCP: Distributed MultiThreaded CheckPointing

Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing

CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM

Checkpoint/restart approaches for a thread-based MPI runtime

Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production


Tensors and neural networks in Haskell

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Tensors Fitting Perfectly

Type-driven Neural Programming by Example


Boogie

The Move Prover

Formally Validating a Practical Verification Condition Generator (extended version)

Refinement for Structured Concurrent Programs

Precise Null Pointer Analysis Through Global Value Numbering

Better Counterexamples for Dafny

Tools and Algorithms for the Construction and Analysis of Systems

Improving the "Correct Eventual Consistency" Tool

Towards Trustworthy Automated Program Verifiers: Formally Validating Translations into an Intermediate Verification Language


Metadata database for ENCODE project

Principles of metadata organization at the ENCODE data coordination center

Database : the journal of biological databases and curation

Ontology application and use at the ENCODE DCC

SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata

Prevention of data duplication for high throughput sequencing repositories

Long Non-Coding RNA Regulation of Epigenetics in Vascular Cells

Data navigation on the ENCODE portal


Aer is a high performance simulator for quantum circuits that includes noise models

Challenges and Opportunities of Near-Term Quantum Computing Systems

Identification of Symmetry-Protected Topological States on Noisy Quantum Computers

Bugs4Q: A Benchmark of Real Bugs for Quantum Programs

Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer

Error mitigated quantum circuit cutting

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness

Quantum Correlation Generation Capability of Experimental Processes

Queen: A quick, scalable, and comprehensive quantum circuit simulation
  for supercomputing

Qubernetes: Towards a unified cloud-native execution platform for hybrid classic-quantum computing


Fast and flexible physics-based battery models in Python

Python Battery Mathematical Modelling (PyBaMM)

An asymptotic derivation of a single particle model with electrolyte

Degradation model of high-nickel positive electrodes: Effects of loss of active material and cyclable lithium on capacity fade

A computationally informed realisation algorithm for lithium-ion batteries implemented with LiiBRA.jl

A million cycles in a day: Enabling high-throughput computing of lithium-ion battery degradation with physics-based models

DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems


大规模中文自然语言处理语料  Large Scale Chinese Corpus for NLP

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

General and Domain-adaptive Chinese Spelling Check with Error-consistent Pretraining

On the Generation of Medical Dialogues for COVID-19


:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining

An overview of event extraction and its applications

Chinese Event Extraction Based on Attention and Semantic Features: A Bidirectional Circular Neural Network

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

Chinese Emergency Event Recognition Using Conv-RDBiGRU Model

Computational intelligence and neuroscience


Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Perceiver: General Perception with Iterative Attention

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Neural Attentive Circuits

Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup

IEEE Transactions on Industrial Informatics

Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues

MM-AU:Towards Multimodal Understanding of Advertisement Videos


Store of the trained model for pangolin to access.

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

SARS-CoV-2 variant Delta rapidly displaced variant Alpha in the United States and led to higher viral loads

Evidence for SARS-CoV-2 Delta and Omicron co-infections and recombination

Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences

Rapid and Flexible RT-qPCR Surveillance Platforms To Detect SARS-CoV-2 Mutations

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

Proficiency testing for SARS-CoV-2 whole genome sequencing

Towards Efficient and Accurate SARS-CoV-2 Genome Sequence Typing Based on Supervised Learning Approaches

Tracking the first SARS-CoV-2 Omicron BA.5.1.3 outbreak in China

Intra-Host Evolution Analyses in an Immunosuppressed Patient Supports SARS-CoV-2 Viral Reservoir Hypothesis


Deep Clustering for Unsupervised Learning of Visual Features

Understanding Neural Networks Through Deep Visualization

Unsupervised Pre-Training of Image Features on Non-Curated Data

Self-Supervised Relational Reasoning for Representation Learning

Learning as the unsupervised alignment of conceptual systems

Improving out-of-distribution generalization via multi-task self-supervised pretraining

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features

A Survey on Self-Supervised Representation Learning

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data


Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Learning by Abstraction: The Neural State Machine

Attention on Abstract Visual Reasoning

Differentiable Adaptive Computation Time for Visual Reasoning

Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning


The Pile is a large, diverse, open source language modelling data set that consists of many smaller datasets combined together.

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

A Survey on Data Selection for Language Models

Datasheet for the Pile

Taken out of context: On measuring situational awareness in LLMs

Understanding LLMs: A Comprehensive Overview from Training to Inference

JUWELS Booster -- A Supercomputer for Large-Scale AI Research


Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Weight Uncertainty in Neural Networks

Variational Dropout and the Local Reparameterization Trick

A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference

ProbAct: A Probabilistic Activation Function for Deep Neural Networks


A PyTorch toolkit for 2D Human Pose Estimation.

Stacked Hourglass Networks for Human Pose Estimation

Simple Baselines for Human Pose Estimation and Tracking

Learning Loss for Active Learning

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

Fast and Flexible Human Pose Estimation with HyperPose

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


Probabilistic Torch is library for deep generative models that extends PyTorch

Semi-Supervised Learning with Deep Generative Models

Learning Disentangled Representations with Semi-Supervised Deep Generative Models

Structured Disentangled Representations

Bayesian Layers: A Module for Neural Network Uncertainty

Simple, Distributed, and Accelerated Probabilistic Programming


Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability

Guardian: Symbolic Validation of Orderliness in SGX Enclaves

Designing a Provenance Analysis for SGX Enclaves


AcademiCodec: An Open Source Audio Codec Model for Academic Research

HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

Fewer-Token Neural Speech Codec with Time-Invariant Codes

SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound

APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum
  Encoding and Decoding

Single-Codec: Single-Codebook Speech Codec towards High-Performance
  Speech Generation

Efficient Parallel Audio Generation Using Group Masked Language Modeling

TraceableSpeech: Towards Proactively Traceable Text-to-Speech with
  Watermarking

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models


Command-line utility for limiting an adapter's bandwidth

Cloud-gaming: Analysis of Google Stadia traffic

Con-Pi: A Distributed Container-Based Edge and Fog Computing Framework

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Petals: Collaborative Inference and Fine-tuning of Large Models

Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments

Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation

Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection

Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning

BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge

The Effects of Computational Resources on Flaky Tests


OSeMOSYS - the Open Source Energy Modelling System

Developing a community of practice around an open source energy modelling tool

Climate, Land, Energy and Water systems interactions – From key concepts to model implementation with OSeMOSYS

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

A clustering approach to improve spatial representation in water-energy-food models


TigerBot: A multi-language multi-task LLM

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

YaRN: Efficient Context Window Extension of Large Language Models

Evaluating Large Language Models for Radiology Natural Language Processing

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Evaluating the Generation Capabilities of Large Chinese Language Models

TigerBot: An Open Multilingual Multitask LLM

MedChatZH: a Better Medical Adviser Learns from Better Instructions

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges


The SUMMIT simulator

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

GAMMA: A General Agent Motion Model for Autonomous Driving

Simulating Autonomous Driving in Massive Mixed Urban Traffic


experiments with RETURNN

Improved training of end-to-end attention models for speech recognition

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention

Language Modeling with Deep Transformers

Self-attention Networks for Connectionist Temporal Classification in Speech Recognition

International Conference on Acoustics, Speech, and Signal Processing

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

Meeting of the Association for Computational Linguistics

Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems

A Comparative Study on End-to-end Speech to Text Translation

A New Training Pipeline for an Improved Neural Transducer

Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models

Why does CTC result in peaky behavior?


Toolbox for Bayesian Optimization and Model-Based Optimization in R

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

Model-based optimization of subgroup weights for survival analysis

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

Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning

Fast model selection by limiting SVM training times


Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)

Observed patterns of surface solar irradiance under cloudy and clear‐sky conditions


Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

Reduction of the proton radius discrepancy by 3 sigma

Predictive constitutive modelling of arteries by deep learning

Constraining particle acceleration in Sgr A* with simultaneous GRAVITY, Spitzer, NuSTAR and Chandra observations

Gaia Gaps and the Physics of Low-mass Stars. I. The Fully Convective Boundary

The emission and scintillation properties of RRAT J2325−0530 at 154 MHz and 1.4 GHz

Publications of the Astronomical Society of Australia

Pulse energy distribution for RRAT J0139+33 according to observations at the 111 MHz frequency

Constraining cosmological and galaxy parameters using strong gravitational lensing systems

Investigation of the properties of four rotating radio transients at 111 MHz

Extragalactic FXT Candidates Discovered by Chandra (2014-2022)

Spinal control of locomotion before and after spinal cord injury

bioRxiv : the preprint server for biology


Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Universal Differential Equations for Scientific Machine Learning

DiffEqFlux.jl - A Julia Library for Neural Differential Equations

NeuralFMU: Towards Structural Integration of FMUs into Neural Networks

NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications


Industry-strength Computer Vision workflows with Keras

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

High-Resolution Image Synthesis with Latent Diffusion Models

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Enhancement of VGG16 model with multi-view and spatial dropout for classification of mosquito vectors

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision


ACA-Py is a foundation for building decentralized identity applications and services running in non-mobile environments.

Leveraging Self-Sovereign Identity, Blockchain, and Zero-Knowledge Proof to Build a Privacy-Preserving Vaccination Pass

A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking

Providing assurance and scrutability on shared data and machine learning models with verifiable credentials

An Empirical Study of a Trustworthy Cloud Common Data Model Using Decentralized Identifiers


Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Automatic Detection of Online Jihadist Hate Speech

Unsupervised Paraphrasing with Pretrained Language Models

How can natural language processing help model informed drug development?: a review

Lexicon-based Methods vs. BERT for Text Sentiment Analysis

Modeling Creativity: Case Studies in Python

Guiding Neural Story Generation with Reader Models

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion

BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being

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

Unified Visual Relationship Detection with Vision and Language Models

POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis

Proceedings of the 16th International Conference on Availability, Reliability and Security


LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Wormhole: A Fast Ordered Index for In-memory Data Management

SPAA '10: PROCEEDINGS OF THE TWENTY-SECOND ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Symposium on Operating Systems Principles

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

Dash: Scalable Hashing on Persistent Memory

From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees

Why Do My Blockchain Transactions Fail?


Bluetooth Low Energy Software Stack for Embedded Devices

Neighbor Discovery Latency in BLE-Like Protocols

Optimizing BLE-Like Neighbor Discovery

Slotless Protocols for Fast and Energy-Efficient Neighbor Discovery


GANs with spectral normalization and projection discriminator

Spectral Normalization for Generative Adversarial Networks

Training Generative Adversarial Networks with Limited Data

cGANs with Projection Discriminator

Image Generation From Small Datasets via Batch Statistics Adaptation

A Large-Scale Study on Regularization and Normalization in GANs

Discriminator optimal transport

On the Evaluation of Conditional GANs

TinyGAN: Distilling BigGAN for Conditional Image Generation

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

BIGRoC: Boosting Image Generation via a Robust Classifier


Chainer implementation of recent GAN variants

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

The Unusual Effectiveness of Averaging in GAN Training

The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

JR-GAN: Jacobian Regularization for Generative Adversarial Networks.

Organization of a Latent Space structure in VAE/GAN trained by navigation data

Selecting the Best in GANs Family: a Post Selection Inference Framework

Pairwise Augmented GANs with Adversarial Reconstruction Loss


Grove starter kit for TI LaunchPad(MSP430/CC3200 etc).

A Verified Architecture for Proofs of Execution on Remote Devices under Full Software Compromise

DIALED: Data Integrity Attestation for Low-end Embedded Devices

Tiny-CFA: A Minimalistic Approach for Control-Flow Attestation Using Verified Proofs of Execution

ACFA: Secure Runtime Auditing & Guaranteed Device Healing via Active Control Flow Attestation

Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA


Code release for ConvNeXt model

A ConvNet for the 2020s

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

What Makes Convolutional Models Great on Long Sequence Modeling?

Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

Fcaformer: Forward Cross Attention in Hybrid Vision Transformer

TOAST: Transfer Learning via Attention Steering

Overcoming the Stability Gap in Continual Learning

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather

Augmentation Pathways Network for Visual Recognition


SPAdes Genome Assembler

Metaviral SPAdes: assembly of viruses from metagenomic data

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Plasmid detection and assembly in genomic and metagenomic data sets

A simple guide to de novo transcriptome assembly and annotation

HASLR: Fast Hybrid Assembly of Long Reads

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Improving the Inhibitory Effect of Phages against Pseudomonas aeruginosa Isolated from a Burn Patient Using a Combination of Phages and Antibiotics

Extending rnaSPAdes functionality for hybrid transcriptome assembly

Improved Methods for Acetocarmine and Haematoxylin Staining to Visualize Chromosomes in the Filamentous Green Alga Zygnema (Charophyta)

cloudSPAdes: assembly of synthetic long reads using de Bruijn graphs


homebrew (macOS) packages for RISC-V toolchain


Japanese morphological analysis engine written in pure Python

Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer’s Disease and Mild Cognitive Impairment

fugashi, a Tool for Tokenizing Japanese in Python

Compositional Evaluation on Japanese Textual Entailment and Similarity

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

EVJVQA CHALLENGE: MULTILINGUAL VISUAL QUESTION ANSWERING

Journal of Computer Science and Cybernetics

Analysis of Dialogue in Human-Human Collaboration in Minecraft

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


An open-source tool for sequence learning in NLP built on TensorFlow.

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification

Input Combination Strategies for Multi-Source Transformer Decoder

Neural Monkey: An Open-source Tool for Sequence Learning

The Prague Bulletin of Mathematical Linguistics

CUNI System for the WMT18 Multimodal Translation Task

From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions

Results of the WMT17 Neural MT Training Task

Proceedings of the Second Conference on Machine Translation

Context in Neural Machine Translation: A Review of Models and Evaluations

CUNI System for the WMT17 Multimodal Translation Task


Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library.  Install the netCDF C library first.

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea


Scientific analysis of nanoscale materials imaging data

Recent advances and applications of deep learning methods in materials science

Deep learning in electron microscopy

Machine Learning: Science and Technology

Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

Advanced structural and chemical imaging

USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data

A Processing and Analytics System for Microscopy Data Workflows: The Pycroscopy Ecosystem of Packages

Advances in Electron Microscopy with Deep Learning


Python library for science observations from the James Webb Space Telescope

The JWST Early Release Observations

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

The chemical enrichment in the early Universe as probed by JWST via direct metallicity measurements at z~8

Identification of carbon dioxide in an exoplanet atmosphere

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec G395H

CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results

Confirmation and refutation of very luminous galaxies in the early Universe

Thermal emission from the Earth-sized exoplanet TRAPPIST-1 b using JWST

Panic! at the Disks: First Rest-frame Optical Observations of Galaxy Structure at z > 3 with JWST in the SMACS 0723 Field

GA-NIFS: A massive black hole in a low-metallicity AGN at z∼5.55 revealed by JWST/NIRSpec IFS


Tool Shed repositories maintained by the Intergalactic Utilities Commission

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Zenodo (CERN European Organization for Nuclear Research)

Genomic diversity across Candida auris clinical isolates shapes rapid development of antifungal resistance in vitro and in vivo

The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering

MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data

The Complete Mitochondrial Genome of Two Armored Catfish Populations of the Genus Hypostomus (Siluriformes, Loricariidae, Hypostominae)

Impact of Porcine Arterivirus, Influenza B, and Their Coinfection on Antiviral Response in the Porcine Lung

Dynamics of maternal gene expression in Rhodnius prolixus

Chromosome-level genome assembly of Lilford's wall lizard,Podarcis lilfordi(Günther, 1874) from the Balearic Islands (Spain)

A SARS-CoV-2 sequence submission tool for the European Nucleotide Archive


Haskell source code suggestions

Teaching the art of functional programming using automated grading (experience report)

Proceedings of the ACM on Programming Languages

Program Synthesis Using Example Propagation

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

A Linter for Isabelle: Implementation and Evaluation


Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Proximal Policy Optimization Algorithms

Deep Reinforcement Learning that Matters

StarCraft II: A New Challenge for Reinforcement Learning

Relational Deep Reinforcement Learning

Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection

Adversary agent reinforcement learning for pursuit-evasion

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space


Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

TextMountain: Accurate Scene Text Detection via Instance Segmentation

Text Detection and Recognition in the Wild: A Review

Scene Text Detection in Natural Images: A Review


PubLayNet: largest dataset ever for document layout analysis

ICDAR 2021 Competition on Scientific Literature Parsing

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

Transformers and Language Models in Form Understanding: A Comprehensive
  Review of Scanned Document Analysis

Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction


:rocket: High Performance Linear Algebra OOP

Numerical simulation of the hydrodynamical combustion to strange quark matter in the trapped neutrino regime

Local Community Detection in Dynamic Networks

Not Seeing the Forest for the Trees: Size of the Minimum Spanning Trees (MSTs) Forest and Branch Significance in MST-Based Phylogenetic Analysis

From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database

IEEE High Performance Extreme Computing Conference

Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce

Workshop on Algorithm Engineering and Experimentation

DROP: Dimensionality Reduction Optimization for Time Series


NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing


✂ Automated high-quality background removal framework for an image using neural networks. ✂

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D

Guide3D: Create 3D Avatars from Text and Image Guidance

Are These the Same Apple? Comparing Images Based on Object Intrinsics


Heavily optimized library for DEFLATE/zlib/gzip compression and decompression

HTSlib: C library for reading/writing high-throughput sequencing data

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

Parallel decompression of gzip-compressed files and random access to DNA sequences

Improved structural variant discovery in hard-to-call regions using sample-specific string detection from accurate long reads

Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling


A taxonomic toolbelt for R

taxize: taxonomic search and retrieval in R

Mapping the zoonotic niche of Ebola virus disease in Africa

Tapping into non-English-language science for the conservation of global biodiversity

A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses

Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information

Rocket Science: The Effect of Spaceflight on Germination Physiology, Ageing, and Transcriptome of Eruca sativa Seeds

Viral spillover risk increases with climate change in High Arctic lake sediments

Identifying Suspect Bat Reservoirs of Emerging Infections

An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning

ecocomDP: A flexible data design pattern for ecological community survey data


Fast spike sorting with drift correction for up to a thousand channels

Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement

SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations

Robust information routing by dorsal subiculum neurons

Behavioral origin of sound-evoked activity in mouse visual cortex

The orbitofrontal cortex maps future navigational goals

Disrupting cortico-cerebellar communication impairs dexterity

MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity

Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology


Distributed reliable key-value store for the most critical data of a distributed system

Blockchain Consensus Protocols in the Wild

High Throughput Cryptocurrency Routing in Payment Channel Networks

Performance Evaluation of the Quorum Blockchain Platform

Circuit Breakers, Discovery, and API Gateways in Microservices

Rearchitecting Kubernetes for the Edge

PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS'21)

A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric

Impact of etcd Deployment on Kubernetes, Istio, and Application Performance

Why is random testing effective for partition tolerance bugs?

Symposium on Principles of Programming Languages

Recent Results on Fault-Tolerant Consensus in Message-Passing Networks

CASPaxos: Replicated State Machines without logs


Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Understanding Abuse: A Typology of Abusive Language Detection Subtasks

Racial Bias in Hate Speech and Abusive Language Detection Datasets

Detecting and Monitoring Hate Speech in Twitter

Deep Learning Models for Multilingual Hate Speech Detection

Algorithmic fairness datasets: the story so far

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection

MTTM: Metamorphic Testing for Textual Content Moderation Software

Prediction Uncertainty Estimation for Hate Speech Classification


Flip-flop basecaller for Oxford Nanopore reads

Recent advances in the detection of base modifications using the Nanopore sequencer

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

A new era of long-read sequencing for cancer genomics

Nanopore Sequencing of a Forensic STR Multiplex Reveals Loci Suitable for Single-Contributor STR Profiling

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

On Coding for an Abstracted Nanopore Channel for DNA Storage

High Diversity of Type I Polyketide Genes in Bacidia rubella as Revealed by the Comparative Analysis of 23 Lichen Genomes


A New Padding Scheme: Partial Convolution based Padding

Image Inpainting for Irregular Holes Using Partial Convolutions

Partial Convolution based Padding

MisConv: Convolutional Neural Networks for Missing Data

A Benchmark for Inpainting of Clothing Images with Irregular Holes


MOSS-RLHF

A Survey of Large Language Models

Secrets of RLHF in Large Language Models Part I: PPO

Secrets of RLHF in Large Language Models Part II: Reward Modeling

Large Language Models for Mobile GUI Text Input Generation: An Empirical
  Study


[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising


CLD3 is a neural network model for language identification.

LAION-5B: An open large-scale dataset for training next generation image-text models

mT5: A massively multilingual pre-trained text-to-text transformer

No Language Left Behind: Scaling Human-Centered Machine Translation

Crosslingual Generalization through Multitask Finetuning

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

DataComp: In search of the next generation of multimodal datasets

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

AraT5: Text-to-Text Transformers for Arabic Language Generation

Building Machine Translation Systems for the Next Thousand Languages

Wattpad as a resource for literary studies. Quantitative and qualitative examples of the importance of digital social reading and readers’ comments in the margins


An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

Discovering Quantum Phase Transitions with Fermionic Neural Networks

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Better, Faster Fermionic Neural Networks

Interatomic force from neural network based variational quantum Monte Carlo

Neural Wave Functions for Superfluids

Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation

Neural network variational Monte Carlo for positronic chemistry

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions

Convergence of variational Monte Carlo simulation and scale-invariant pre-training


A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

Enabling rootless Linux Containers in multi-user environments: the udocker tool

OCCAM: a flexible, multi-purpose and extendable HPC cluster

Containerization for High Performance Computing Systems: Survey and Prospects

IEEE Transactions on Software Engineering

MeerKATHI -- an end-to-end data reduction pipeline for MeerKAT and other radio telescopes

Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC


Tools and standards for conducting and evaluating research in software engineering

Empirical Standards for Software Engineering Research

ACM SIGSOFT Empirical Standards.

Benchmarking as Empirical Standard in Software Engineering Research

PROCEEDINGS OF EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING (EASE 2021)

Code Red: The Business Impact of Code Quality -- A Quantitative Study of 39 Proprietary Production Codebases

Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?

Understanding Peer Review of Software Engineering Papers

U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code

Static test flakiness prediction: How Far Can We Go?

Machine Learning-Based Test Smell Detection

Students' interest in knowledge acquisition in Artificial Intelligence


System Advisor Model (SAM)

Review of Open Source Tools for PV Modeling

An Enhanced Two-Stage Grid-Connected Linear Parameter Varying Photovoltaic System Model for Frequency Support Strategy Evaluation

Generating Synthetic Net Load Data with Physics-informed Diffusion Model


A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Open and reproducible neuroimaging: From study inception to publication

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Good scientific practice in EEG and MEG research: Progress and perspectives

ASL-BIDS, the brain imaging data structure extension for arterial spin labeling

Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data

BIDS-EEG: an extension to the Brain Imaging Data Structure (BIDS) Specification for electroencephalography

MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography


Java binary serialization and cloning: fast, efficient, automatic

GeoBroker: Leveraging geo-contexts for IoT data distribution

Choreographies as Objects.

scenery: Flexible Virtual Reality Visualization on the Java VM

scenery - Flexible Virtual Reality Visualisation on the Java VM

ChronoSphere: a graph-based EMF model repository for IT landscape models

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

ACM Transactions on Software Engineering and Methodology

A Survey of JSON-compatible Binary Serialization Specifications

Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing

Choral: Object-oriented Choreographic Programming

Programming at the edge of synchrony


Neural Style Transfer For Chinese Characters

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering

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

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator

Few-Shot Font Generation by Learning Fine-Grained Local Styles

A Unified Framework for Generalizable Style Transfer: Style and Content Separation

Handwritten Chinese Font Generation with Collaborative Stroke Refinement

Learning Typographic Style

FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization

DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation


Landmark-based audio fingerprinting

Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents

Attention-Based Audio Embeddings for Query-by-Example

Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting

Detection and localization of partial audio matches in various application scenarios

Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content

Accuracy comparisons of fingerprint based song recognition approaches using very high granularity

Simultaneously Learning Robust Audio Embeddings and Balanced Hash Codes for Query-by-Example


Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks.

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

ARBML: Democritizing Arabic Natural Language Processing Tools

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

ASU_OPTO at OSACT4 - Offensive Language Detection for Arabic text


Understand and mitigate software-observable side-channels

Swivel: Hardening WebAssembly against Spectre

Automatic Detection of Speculative Execution Combinations

Dynamic Process Isolation

MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption


A PyTorch Basecaller for Oxford Nanopore Reads

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing

Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era

Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly

Optimizing experimental design for genome sequencing and assembly with Oxford Nanopore Technologies

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Draft Genome Sequence of the Lichenized Fungus Bacidia gigantensis


RWOT7 in Toronto, Canada (September 2018)

Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials

Sovrin: An Identity Metasystem for Self-Sovereign Identity

Self-Sovereign Identity in a World of Authentication: Architecture and Domain Usecases