Efficient phylogenomic software by maximum likelihood

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada

Contamination of Plant Foods with Bacillus cereus in a Province and Analysis of Its Traceability

Genomic and Phenotypic Analysis of Salmonella enterica Bacteriophages Identifies Two Novel Phage Species

Chromosome genome assembly and whole genome sequencing of 110 individuals of Conogethes punctiferalis (Guenée)


CCN-lite, a lightweight implementation of the CCNx protocol and its variations

Content Delivery Latency of Caching Strategies for Information-Centric IoT

INetCEP: In-Network Complex Event Processing for Information-Centric Networking

Symposium on Architectures for Networking and Communications Systems


Flexible DICOM conversion into structured directory layouts

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

Open and reproducible neuroimaging: From study inception to publication

A studyforrest extension, retinotopic mapping and localization of higher visual areas

Multimodal phenotypic axes of Parkinson’s disease

From Visual Perception to Aesthetic Appeal: Brain Responses to Aesthetically Appealing Natural Landscape Movies

DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach


Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-)  hydrodynamics simulation code for massively parallel CPU and GPU architectures.

WHITE DWARF MERGERS ON ADAPTIVE MESHES. I. METHODOLOGY AND CODE VERIFICATION

Improved Coupling of Hydrodynamics and Nuclear Reactions via Spectral Deferred Corrections

Dynamics of Laterally Propagating Flames in X-Ray Bursts. I. Burning Front Structure

An Improved Method for Coupling Hydrodynamics with Astrophysical Reaction Networks

Dynamics of Laterally Propagating Flames in X-Ray Bursts. II. Realistic Burning and Rotation

Practical Effects of Integrating Temperature with Strang Split Reactions

Sensitivity of He Flames in X-Ray Bursts to Nuclear Physics

Comparing Early Evolution of Flames in X-Ray Bursts in Two and Three Dimensions

Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

Zenodo (CERN European Organization for Nuclear Research)

Extracting Insights from Astrophysics Simulations


Open Energy Dashboard (OED)


[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Towards Accurate Generative Models of Video: A New Metric & Challenges

Temporal Generative Adversarial Nets with Singular Value Clipping

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

MoStGAN-V: Video Generation with Temporal Motion Styles

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

IRASim: Learning Interactive Real-Robot Action Simulators

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video
  Generation


Notebook example of how to generate class visualizations with Caffe

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Temporal Segment Networks for Action Recognition in Videos

Generic decoding of seen and imagined objects using hierarchical visual features

Factors in Finetuning Deep Model for object detection

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

Feature Selective Networks for Object Detection

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks

Learning Chained Deep Features and Classifiers for Cascade in Object Detection

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs


The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Score-based Generative Modeling in Latent Space

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

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

The ArtBench Dataset: Benchmarking Generative Models with Artworks

MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks


nucleosome calling using ATAC-seq

Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions

Nucleosome positioning: resources and tools online

Non-coding germline GATA3 variants alter chromatin topology and contribute to pathogenesis of acute lymphoblastic leukemia


Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.

A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity

Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

Functional Brain-to-Brain Transformation with No Shared Data

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model

Attentionally modulated subjective images reconstructed from brain activity

How does the brain represent the semantic content of an image?


Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Adversarial Learning for Semi-Supervised Semantic Segmentation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters

Domain Adaptation for Structured Output via Discriminative Patch Representations

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


Independent JPEG Group's JPEG software

A Classification Engine for Image Ballistics of Social Data

Optimizing JPEG Quantization for Classification Networks

Adjusted JPEG Quantization Tables in Support of GPS Maps

Estimating Previous Quantization Factors on Multiple JPEG Compressed Images

In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation


Creative Commons Attribution Share Alike 4.0 International

A global homogenised database of active faults maintained by the GEM Foundation

The GEM Global Active Faults Database

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods

Influence of tectonics on global scale distribution of geological methane emissions

InSAR-Based Mapping to Support Decision-Making after an Earthquake

Kinematics and Dynamics of the 24 January 2020 Mw 6.7 Elazig, Turkey Earthquake

Clustering Analysis of Seismicity in the Anatolian Region with Implications for Seismic Hazard

A New Lithospheric Density and Magnetic Susceptibility Model of Iran, Starting From High‐Resolution Seismic Tomography


A set of programs used for benchmarking the strength of obfuscation

How to Kill Symbolic Deobfuscation for Free; or Unleashing the Potential of Path-Oriented Protections

WASMixer: Binary Obfuscation for WebAssembly


Viral Annotation DefineR: classification and annotation of viral sequences based on RefSeq annotation

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

VADR: validation and annotation of virus sequence submissions to GenBank

DBCOVP: A database of coronavirus virulent glycoproteins

Faster SARS-CoV-2 sequence validation and annotation for GenBank using VADR

bioRxiv : the preprint server for biology

Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis

The Journal of molecular diagnostics : JMD


Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

Beyond English-Centric Multilingual Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation

The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation.

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

Towards Explainable Evaluation Metrics for Natural Language Generation

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

RuCoLA: Russian Corpus of Linguistic Acceptability

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction


Security Analysis tool for WebAssembly module (wasm) and Blockchain Smart Contracts (BTC/ETH/NEO/EOS)

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

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassembly-level

Security Analysis of EOSIO Smart Contracts

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures

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

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode


scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Computational approaches for interpreting scRNA-seq data

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

Visual Robot Task Planning

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

Training Frankenstein's Creature to Stack: HyperTree Architecture Search.


BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF

Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus

Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019


Code for the paper "Adversarially Regularized Autoencoders  (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Adversarially Regularized Autoencoders

Adversarially Regularized Autoencoders for Generating Discrete Structures.

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization


A coding-free framework built on PyTorch for reproducible deep learning studies. 25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far.  Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Deep Residual Learning for Image Recognition

Densely Connected Convolutional Networks

Distilling the Knowledge in a Neural Network

Wide Residual Networks

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning

Relational Knowledge Distillation

Similarity-Preserving Knowledge Distillation

Contrastive Representation Distillation


PHYRE is a benchmark for physical reasoning.

PHYRE: A New Benchmark for Physical Reasoning

ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Solving Physics Puzzles by Reasoning about Paths


TinyEMU based full system cycle-level micro-architectural research simulator for single-core RISC-V systems


Genome-wide Efficient Mixed Model Association

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study

基因组蛋白质组与生物信息学报

A genome-wide association study finds genetic variants associated with neck or shoulder pain in UK Biobank

New insights into the associations among feed efficiency, metabolizable efficiency traits and related QTL regions in broiler chickens

Genome-wide association study meta-analysis of suicide death and suicidal behavior

Identification of Major Loci and Candidate Genes for Meat Production-Related Traits in Broilers

GeneMates: an R package for detecting horizontal gene co-transfer between bacteria using gene-gene associations controlled for population structure

Genome-Wide Association Study of Starch Properties in Local Thai Rice

Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community


Omnivore: A Single Model for Many Visual Modalities

OmniMAE: Single Model Masked Pretraining on Images and Videos

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


ProSPr: Protein Structure Prediction

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

The whole is greater than its parts: ensembling improves protein contact prediction

Evaluation of Deep Neural Network ProSPr for Accurate Protein Distance Predictions on CASP14 Targets

Accelerating Antimicrobial Peptide Discovery with Latent Structure


Simplified Transfer Learning for Chest Radiography Models Using Less Data

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT I


Transfer Learning library for Deep Neural Networks.

Variational Information Distillation for Knowledge Transfer

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Transferring Knowledge across Learning Processes

Fast Adaptation with Linearized Neural Networks

Similarity of Neural Networks with Gradients

EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


SPLADE: sparse neural search (SIGIR21, SIGIR22)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective

An Efficiency Study for SPLADE Models

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Adaptive Re-Ranking with a Corpus Graph

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Faster Learned Sparse Retrieval with Guided Traversal

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval

A Dense Representation Framework for Lexical and Semantic Matching


Pure Python Java parser and tools

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Unsupervised Translation of Programming Languages

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

On Learning Meaningful Assert Statements for Unit Test Cases

Software Defect Prediction via Attention-Based Recurrent Neural Network

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

On the Evaluation of Neural Code Summarization

Proceedings of the 44th International Conference on Software Engineering

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

Patching as Translation: the Data and the Metaphor

International Conference on Automated Software Engineering

AVATAR: A Parallel Corpus for Java-Python Program Translation


Twenty Years of Auxiliary-Field Quantum Monte Carlo in Quantum Chemistry: An Overview and Assessment on Main Group Chemistry and Bond-Breaking

ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs

Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification


Palmetto is a quality measuring tool for topics

Neural Topic Modeling with Bidirectional Adversarial Training

ATM:Adversarial-neural Topic Model

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

Detecting Perspectives in Political Debates

Empirical Methods in Natural Language Processing

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse

North American Chapter of the Association for Computational Linguistics

What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Neural Topic Modeling by Incorporating Document Relationship Graph

Effective Neural Topic Modeling with Embedding Clustering Regularization

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


Efficient Inference for Big Models

CPM: A Large-scale Generative Chinese Pre-trained Language Model

CPM-2: Large-scale Cost-effective Pre-trained Language Models

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

Understanding LLMs: A Comprehensive Overview from Training to Inference

BMInf: An Efficient Toolkit for Big Model Inference and Tuning

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations


A Free and Open Source Python Library for Multiobjective Optimization

Performance-based screening of porous materials for carbon capture

An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering

IEEE transactions on bio-medical engineering

Cooperative adaptive management of the Nile River with climate and socio-economic uncertainties

Multi-agent Dynamic Algorithm Configuration

Bayesian Optimization over Permutation Spaces

An extension of the non-inferior set estimation algorithm for many objectives

European Journal of Operational Research

Supplementary material to "Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK"

An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine


A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Learning Transferable Architectures for Scalable Image Recognition

Neural Architecture Search with Reinforcement Learning

Regularized Evolution for Image Classifier Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

Efficient and Robust Automated Machine Learning

Tune: A Research Platform for Distributed Model Selection and Training

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


Set of quantum chemistry programs and libraries

A Mountaineering Strategy to Excited States: Highly Accurate Reference Energies and Benchmarks

Journal of chemical theory and computation

QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

Journal of physics. Condensed matter : an Institute of Physics journal

Excited States with Selected Configuration Interaction-Quantum Monte Carlo: Chemically Accurate Excitation Energies and Geometries

A Jeziorski-Monkhorst fully uncontracted multi-reference perturbative treatment. I. Principles, second-order versions, and tests on ground state potential energy curves

Alternative definition of excitation amplitudes in multi-reference state-specific coupled cluster


A tool for holistic analysis of language generations systems

Are Sixteen Heads Really Better than One?

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Towards Automatic Error Analysis of Machine Translation Output

International Conference on Computational Logic

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

Neural Machine Translation: A Review of Methods, Resources, and Tools

Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs

Findings of the First Shared Task on Machine Translation Robustness

Dynamic Data Selection and Weighting for Iterative Back-Translation

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation


Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally


turboSETI  -- python based SETI search algorithm.

The Breakthrough Listen Search for Intelligent Life: 1.1-1.9 GHz Observations of 692 Nearby Stars

Analysis of the Breakthrough Listen signal of interest blc1 with a technosignature verification framework

NASA and the Search for Technosignatures: A Report from the NASA Technosignatures Workshop

A deep-learning search for technosignatures from 820 nearby stars

The Breakthrough Listen Search for Extraterrestrial Intelligence

Opportunities to Search for Extra-Terrestrial Intelligence with the Five-hundred-meter Aperture Spherical radio Telescope


ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

Agent-Pro: Learning to Evolve via Policy-Level Reflection and
  Optimization

Adapting LLM Agents with Universal Feedback in Communication

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation

Prediction-Powered Ranking of Large Language Models

The Time Traveler's Guide to Semantic Web Research: Analyzing Fictitious Research Themes in the ESWC "Next 20 Years" Track

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf


A formal verifier and analysis tool for Solidity Smart Contracts

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

Zenodo (CERN European Organization for Nuclear Research)

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


GNU Octave library for connectivity analysis in large fMRI datasets

The Neuro Bureau ADHD-200 Preprocessed repository

Estimating differential latent variable graphical models with applications to brain connectivity

A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables

A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol


loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

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

Advanced Bayesian Multilevel Modeling with the R Package brms

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

blavaan: Bayesian Structural Equation Models via Parameter Expansion

Pareto Smoothed Importance Sampling

Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods

Bayesian latent time joint mixed effect models for multicohort longitudinal data

Towards powerful experimental and statistical approaches to study intraindividual variability in labile traits

Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models

Widespread extinction debts and colonization credits in United States breeding bird communities


PyTorch implementation of adversarial attacks [torchattacks]

Torchattacks: A PyTorch Repository for Adversarial Attacks

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

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

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

Minimum Noticeable Difference-Based Adversarial Privacy Preserving Image Generation

Probing the Purview of Neural Networks via Gradient Analysis

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework

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


A Julia interface to the NLopt nonlinear-optimization library

Quantitative analysis of tumour spheroid structure

Estimating Phosphorescent Emission Energies in IrIII Complexes Using Large‐Scale Quantum Computing Simulations**

Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates

Host-region parameters for an adjustable model for crustal earthquakes to facilitate the implementation of the backbone approach to building ground-motion logic trees in probabilistic seismic hazard analysis

Computationally efficient framework for diagnosing, understanding and predicting biphasic population growth

Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences

Efficient inference and identifiability analysis for differential equation models with random parameters

Pushing coarse-grained models beyond the continuum limit using equation learning

Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids

Improving robustness to noise of nonlinear parameter identification using control-based continuation


:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature

Controlling the Reading Level of Machine Translation Output

TextDescriptives: A Python package for calculating a large variety of metrics from text

Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset

Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

Machine learning for learner English

International Journal of Learner Corpus Research

Meta-learning of textual representations

A Benchmark for Neural Readability Assessment of Texts in Spanish

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)

Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction

Data on post bank customer reviews from web


GFDL's Flexible Modeling System

CPMIP: measurements of real computational performance of Earth system models in CMIP6


Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control


Face recognition system for ID photos

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

Identity Document to Selfie Face Matching Across Adolescence


FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field

A survey and classification of face alignment methods based on face models


Java-Based Context-aware Recommendation Library

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison

Graph Neural Network for Context-Aware Recommendation

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems

A User's Guide to CARSKit

Recommending on graphs: a comprehensive review from a data perspective

Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction


Dilated Residual Networks

Dilated Residual Networks

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

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

The Spatially-Correlative Loss for Various Image Translation Tasks

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China

Towards General and Efficient Active Learning


OpenRISC 1200 implementation

Customized Routing Optimization Based on Gradient Boost Regressor Model

Non Uniform On Chip Power Delivery Network Synthesis Methodology

A Security-Aware and LUT-Based CAD Flow for the Physical Synthesis of hASICs

Timing Aware Dummy Metal Fill Methodology

Machine Learning Based Fast Power Integrity Classifier

A Machine Learning Framework for Register Placement Optimization in Digital Circuit Design


[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

Controllable Pareto Multi-Task Learning

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints


Joint Learning of Character and Word Embeddings

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Improved Word Representation Learning with Sememes

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

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Empirical Methods in Natural Language Processing

Multi-Granularity Chinese Word Embedding

Learning Chinese Word Representations From Glyphs Of Characters

VCWE: Visual Character-Enhanced Word Embeddings

Exploiting Word Internal Structures for Generic Chinese Sentence Representation

Word and Document Embeddings based on Neural Network Approaches

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives


Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

A ConvNet for the 2020s

Graph HyperNetworks for Neural Architecture Search

Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?

Pretraining a Neural Network before Knowing Its Architecture

GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks


Caterpillar: A BPMN-based BPMS for Ethereum

Caterpillar: A business process execution engine on the Ethereum blockchain

Interpreted Execution of Business Process Models on Blockchain

MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution

Enabling Data Confidentiality with Public Blockchains


:floppy_disk: :page_with_curl: "Reads to report" for public health and clinical microbiology

Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Increased Usage of Antiseptics Is Associated with Reduced Susceptibility in Clinical Isolates of Staphylococcus aureus

An outbreak of pneumococcal meningitis among older children (≥5 years) and adults after the implementation of an infant vaccination programme with the 13-valent pneumococcal conjugate vaccine in Ghana

Host adaptation and convergent evolution increases antibiotic resistance without loss of virulence in a major human pathogen

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Genomic epidemiology and antimicrobial resistance of Neisseria gonorrhoeae in New Zealand

The Journal of antimicrobial chemotherapy

Dissemination and persistence of extended-spectrum cephalosporin-resistance encoding IncI1-blaCTXM-1 plasmid among Escherichia coli in pigs

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS

Antimicrobial Susceptibility of Escherichia coli and Salmonella spp. Isolates From Healthy Pigs in Australia: Results of a Pilot National Survey


code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

TLDR: Extreme Summarization of Scientific Documents

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

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

Globalizing BERT-based Transformer Architectures for Long Document Summarization

Conference of the European Chapter of the Association for Computational Linguistics

Automated Lay Language Summarization of Biomedical Scientific Reviews

Friendly Topic Assistant for Transformer Based Abstractive Summarization

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

Pre-training for Abstractive Document Summarization by Reinstating Source Text

Adversarial Semantic Collisions


Recipes to train reward model for RLHF.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF

RLHF Workflow: From Reward Modeling to Online RLHF

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

A Theoretical Analysis of Nash Learning from Human Feedback under
  General KL-Regularized Preference

OffsetBias: Leveraging Debiased Data for Tuning Evaluators


[CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"

Florence: A New Foundation Model for Computer Vision

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

K-LITE: Learning Transferable Visual Models with External Knowledge


Implementation of Convolutional LSTM in PyTorch.

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

A Probabilistic Time-Evolving Approach to Scanpath Prediction

Latent State Inference in a Spatiotemporal Generative Model


Official release of the ProGen models

ProGen2: Exploring the Boundaries of Protein Language Models

Current progress, challenges, and future perspectives of language models for protein representation and protein design

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction


[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Mixed-Precision Neural Networks: A Survey

Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration


Fast BPE

Neural Machine Translation of Rare Words with Subword Units

Cross-lingual Language Model Pretraining

CTRL: A Conditional Transformer Language Model for Controllable Generation

BioGPT: generative pre-trained transformer for biomedical text generation and mining

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

FlauBERT: Unsupervised Language Model Pre-training for French

Unsupervised Translation of Programming Languages

Transformers without Tears: Improving the Normalization of Self-Attention

Large Memory Layers with Product Keys

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings


A curated list of deep learning resources for video-text retrieval.

Movie Description

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval

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

Improving Video Retrieval by Adaptive Margin


The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

Graph-Cut RANSAC

MAGSAC++, a fast, reliable and accurate robust estimator

EPOS: Estimating 6D Pose of Objects with Symmetries

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

Five-point Fundamental Matrix Estimation for Uncalibrated Cameras

Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures

IEEE transactions on pattern analysis and machine intelligence

Homography from two orientation- and scale-covariant features

RANSAC for Robotic Applications: A Survey

VSAC: Efficient and Accurate Estimator for H and F


Fast genome analysis from unassembled short reads

Highly contiguous assemblies of 101 drosophilid genomes

Chromosome-level assembly of the horseshoe crab genome provides insights into its genome evolution

Draft Genome Sequence for the Tree Pathogen Phytophthora plurivora.

Exploring the evolutionary process of alkannin/shikonin O-acyltransferases by a reliable Lithospermum erythrorhizon genome

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

The third international hackathon for applying insights into large-scale genomic composition to use cases in a wide range of organisms

Genomic Insights into High-Altitude Adaptation: A Comparative Analysis of Roscoea alpina and R. purpurea in the Himalayas

International journal of molecular sciences

Integrated global analysis in spider flowers illuminates features underlying the evolution and maintenance of C4 photosynthesis


SPECTER: Document-level Representation Learning using Citation-informed Transformers

The Semantic Scholar Open Data Platform

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization

Heterogeneous Graph Neural Networks for Keyphrase Generation

DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries

A dataset of mentorship in science with semantic and demographic estimations

ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens


Breakpoints via assembly - Identifies breaks and attempts to assemble rearrangements in whole genome sequencing data.

Landscape of somatic mutations in 560 breast cancer whole-genome sequences

A Compendium of Mutational Signatures of Environmental Agents

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Tobacco Exposure and Somatic Mutations in Normal Human Bronchial Epithelium

Somatic mutations and clonal dynamics in healthy and cirrhotic human liver

Clonal dynamics of haematopoiesis across the human lifespan

Mutational signatures of ionizing radiation in second malignancies

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

The longitudinal dynamics and natural history of clonal haematopoiesis

The genome as a record of environmental exposure


Java tools for analyzing Drop-seq data

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment

6th European Congress of Immunology, 1-4 September 2021, Virtual meeting.

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

A single-cell survey of Drosophila blood

Cell type prioritization in single-cell data

Single Cell Analysis Reveals Immune Cell-Adipocyte Crosstalk Regulating the Transcription of Thermogenic Adipocytes

HSV-1 single-cell analysis reveals the activation of anti-viral and developmental programs in distinct sub-populations

Systematic comparative analysis of single cell RNA-sequencing methods

Insights into variation in meiosis from 31,228 human sperm genomes


POA Library:  wiki, how-to, FAQ. Includes instructions how to set-up a new network, to run a full node, connect wallets,

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

The Attack of the Clones Against Proof-of-Authority

Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research Direction

Formal Verification of Blockchain Byzantine Fault Tolerance

Correctness Analysis of IBFT

P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time

Distributed Trust, a Blockchain Election Scheme

AccessChain: An access control framework to protect data access in blockchain enabled supply chain

FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities

FedChain: Secure Proof-of-Stake-Based Framework for Federated-Blockchain Systems


SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications

Crowdsourced mapping of unexplored target space of kinase inhibitors

Tangram: a comprehensive toolbox for mobile element insertion detection

Comparative evolutionary analysis and prediction of deleterious mutation patterns between sorghum and maize


Deblur is a greedy deconvolution algorithm based on known read error profiles.

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

Host Ecology Rather Than Host Phylogeny Drives Amphibian Skin Microbial Community Structure in the Biodiversity Hotspot of Madagascar

Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus

Community richness of amphibian skin bacteria correlates with bioclimate at the global scale

Method development for cross-study microbiome data mining: Challenges and opportunities

Computational and structural biotechnology journal

Achieving pan-microbiome biological insights via the dbBact knowledge base

Amelioration of Alzheimer’s Disease by Gut-Pancreas-Liver-Brain Interaction in an App Knock-In Mouse Model

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study

No impact of a short-term climatic “El Niño” fluctuation on gut microbial diversity in populations of the Galápagos marine iguana (Amblyrhynchus cristatus)


A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

A Tutorial on Bayesian Optimization

Bayesian Optimization with Gradients

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization

Discretization-free Knowledge Gradient Methods for Bayesian Optimization

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Batch Bayesian Optimization via Particle Gradient Flows


Framework to evaluate peformance of ROS 2

Message flow analysis with complex causal links for distributed ROS 2 systems

Impact of ROS 2 Node Composition in Robotic Systems

Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving
  Software: An End-to-End Latency Evaluation


source{d} datasets ("big code") for source code analysis and machine learning on source code

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

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Public Git Archive: a Big Code dataset for all

PyNose: A Test Smell Detector For Python

Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network

So Much in So Little: Creating Lightweight Embeddings of Python Libraries


ELFI - Engine for Likelihood-Free Inference

ELFI: Engine for Likelihood-Free Inference

Inferring Cognitive Models from Data using Approximate Bayesian Computation

PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17)

Robust Optimisation Monte Carlo


Hologram processing and light scattering in python

Charged hydrophobic colloids at an oil-aqueous phase interface.

Physical review. E, Statistical, nonlinear, and soft matter physics

Holographic Microscopy with Python and HoloPy

The role of the medium in the effective-sphere interpretation of holographic particle characterization data.

Improving holographic particle characterization by modeling spherical aberration


Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

Monitoring of SARS-CoV-2 infection in mustelids

EFSA journal. European Food Safety Authority

Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection

CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay

A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses


Python Simulation Tool for Fractured and Deformable Porous Media

DuMux 3 – an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling

Computers and Mathematics with Applications

PorePy: an open-source software for simulation of multiphysics processes in fractured porous media

Dual Virtual Element Methods for Discrete Fracture Matrix models

Verification benchmarks for single-phase flow in three-dimensional fractured porous media

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

PorePy: An Open-Source Simulation Tool for Flow and Transport in Deformable Fractured Rocks

Numerical Methods for Flow in Fractured Porous Media

Dual virtual element method in presence of an inclusion

Implementation of mixed-dimensional models for flow in fractured porous media

Numerical computation of stress-permeability relationships of fracture networks in a shale rock


RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres.


OpenMMLab Rotated Object Detection Toolbox and Benchmark

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

Oriented R-CNN for Object Detection

Align Deep Features for Oriented Object Detection

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Towards Large-Scale Small Object Detection: Survey and Benchmarks


The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

Privacy and Trust Redefined in Federated Machine Learning

Machine Learning and Knowledge Extraction

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models


Lead-DBS is a MATLAB toolbox facilitating deep brain stimulation electrode localization and connectomic neuroimaging.

A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

7 Tesla MRI of the ex vivo human brain at 100 micron resolution

Optimization and comparative evaluation of nonlinear deformation algorithms for atlas-based segmentation of DBS target nuclei

Deep brain stimulation: Imaging on a group level

Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation

medRxiv : the preprint server for health sciences

Toward a unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation


BloombergGPT: A Large Language Model for Finance

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?

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

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints


Ultra-efficient taxonomic mapping of NGS data

taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time

Feeding strategy shapes gut metagenomic enrichment and functional specialization in captive lemurs

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


SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

A Dataset for Semantic Segmentation of Point Cloud Sequences

Point Cloud Processing via Recurrent Set Encoding

The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review


Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone


Implementation of  Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Flamingo: a Visual Language Model for Few-Shot Learning

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

MEWL: Few-shot multimodal word learning with referential uncertainty

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

Active Reasoning in an Open-World Environment


EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.

EdNet: A Large-Scale Hierarchical Dataset in Education

Knowledge Tracing: A Survey

GIKT: A Graph-based Interaction Model for Knowledge Tracing

A Survey of Knowledge Tracing: Models, Variants, and Applications

Improving Knowledge Tracing via Pre-training Question Embeddings

Multi-Factors Aware Dual-Attentional Knowledge Tracing

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing


A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI

Political Alignment Identification: a Study with Documents of Argentinian Journalists

Journal of Computer Science and Technology


Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

The Geometry of Deep Generative Image Models and its Applications

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Feature Unlearning for Pre-trained GANs and VAEs

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains

Optimizing Intermediate Representations of Generative Models for Phase Retrieval

Disentanglement Learning via Topology


Face detection, tracking and clustering in videos

Context-Aware Emotion Recognition Networks

Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity

DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification

DIF : Dataset of Intoxicated Faces for Drunk Person Identification.


Extract and Visualize the Results of Multivariate Data Analyses

GDSL-domain proteins have key roles in suberin polymerization and degradation

SCHENGEN receptor module drives localized ROS production and lignification in plant roots

FOXA and master transcription factors recruit Mediator and Cohesin to the core transcriptional regulatory circuitry of cancer cells

The global dissemination of hospital clones of Enterococcus faecium

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Evolution of Transmissible Gastroenteritis Virus (TGEV): A Codon Usage Perspective

Comparative transcriptome and metabolome analysis reveal key regulatory defense networks and genes involved in enhanced salt tolerance of Actinidia (kiwifruit)

Phylogenomics of SAR116 Clade Reveals Two Subclades with Different Evolutionary Trajectories and an Important Role in the Ocean Sulfur Cycle

Transcriptomic and metabolomic characterization of post-hatch metabolic reprogramming during hepatic development in the chicken

A multivariate data analysis approach for investigating daily statistics of countries affected with COVID-19 pandemic


Minisketch: an optimized library for BCH-based set reconciliation

Bandwidth-Efficient Transaction Relay for Bitcoin

Building Scalable Decentralized Payment Systems

On the Routing Convergence Delay in the Lightning Network


Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

CNN Features off-the-shelf: an Astounding Baseline for Recognition

Colorful Image Colorization

Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2


An R package implementing the UMAP dimensionality reduction method.

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Visualizing Large-scale and High-dimensional Data

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Inferring and perturbing cell fate regulomes in human brain organoids

Structural and Functional Characterization of G Protein-Coupled Receptors with Deep Mutational Scanning

DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

Age-associated changes in lineage composition of the enteric nervous system regulate gut health and disease

DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors

Clustering with UMAP: Why and How Connectivity Matters

A transcriptome atlas of the mouse iris at single-cell resolution defines cell types and the genomic response to pupil dilation


Sentinel Hub Cloud Detector for Sentinel-2 images in Python

Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region

A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments

International Journal of Applied Earth Observation and Geoinformation

Multi-temporal Crop Type and Field Boundary Classification with Google Earth Engine

Flood Detection On Low Cost Orbital Hardware

Machine learning-ready remote sensing data for Maya archaeology

Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data

Teledetección aplicada al análisis de los impactos ecosistémicos generados por los incendios del año 2020 en la provincia de Córdoba, Argentina, e identificación de áreas prioritarias de restauración


ADDA - light scattering simulator based on the discrete dipole approximation

Scaling Laws for Light Absorption Enhancement Due to Nonrefractory Coating of Atmospheric Black Carbon Aerosol.

Near-field radiative heat transfer between irregularly shaped dielectric particles modeled with the discrete system Green's function method

Vector Bessel beams: General classification and scattering simulations

Optimization Methods for In-Line Holography

Optical backscattering and linear polarization properties of the colony forming cyanobacterium Microcystis.

Capabilities of ADDA code for nanophotonics


Repository for research in the field of Responsible NLP at Meta.

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset

Perturbation Augmentation for Fairer NLP

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Fairness-Aware Structured Pruning in Transformers

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages

Raising the Bar: Investigating the Values of Large Language Models via
  Generative Evolving Testing


视觉预训练基础模型仓库

Context Autoencoder for Self-Supervised Representation Learning

StrucTexT: Structured Text Understanding with Multi-Modal Transformers

StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training

UFO: Unified Feature Optimization

Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey


CityGML Energy ADE


Open source stochastic quantum chemistry

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Journal of chemical theory and computation

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry

Preconditioning and Perturbative Estimators in Full Configuration Interaction Quantum Monte Carlo

Accelerating Stochastic Quantum Chemistry

Accelerating convergence to the thermodynamic limit with twist angle selection applied to methods beyond many-body perturbation theory.


Interface to the Global Biodiversity Information Facility API

The ghosts of forests past and future: deforestation and botanical sampling in the Brazilian Amazon

Ligustrum lucidum W. T. Aiton (broad-leaf privet) demonstrates climatic niche shifts during global-scale invasion

Adaptive evolution of seed oil content in angiosperms: accounting for the global patterns of seed oils

Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

A preliminary inventory of the catfishes of the lower Rio Nhamundá, Brazil (Ostariophysi, Siluriformes)

IMPACT OF CLIMATE CHANGE ON THE GEOGRAPHICAL DISTRIBUTION OF A CLOUD FOREST INDICATOR TREE SPECIES

Color and morphological differentiation in the Sinaloa Wren (Thryophilus sinaloa) in the tropical dry forests of Mexico: The role of environment and geographic isolation

A global assessment of tourism and recreation conservation threats to prioritise interventions

SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records

Climate based model in determining the distribution pattern of Cecropia peltata L across global landscape

IOP Conference Series: Earth and Environmental Science


SMAC: The StarCraft Multi-Agent Challenge

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

The StarCraft Multi-Agent Challenge

A survey and critique of multiagent deep reinforcement learning

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

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

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


CrypTFlow2: Practical 2-Party Secure Inference

SIRNN: A Math Library for Secure RNN Inference

GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks

SOTERIA: In Search of Efficient Neural Networks for Private Inference

East: Efficient and Accurate Secure Transformer Framework for Inference

Secure Medical Image Analysis with CrypTFlow

Multi-Institution Encrypted Medical Imaging AI Validation Without Data Sharing

CrypTFlow: Secure TensorFlow Inference

Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference


ETH Robustness Analyzer for Deep Neural Networks

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Algorithms for Verifying Deep Neural Networks

Beyond the Single Neuron Convex Barrier for Neural Network Certification

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

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

PRIMA: general and precise neural network certification via scalable convex hull approximations

Proceedings of the ACM on programming languages

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming

The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification

Provable Repair of Deep Neural Networks


A CRF-based ASR Toolkit

CRF-based Single-stage Acoustic Modeling with CTC Topology

International Conference on Acoustics, Speech, and Signal Processing

CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency

CTC Variations Through New WFST Topologies

CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR

Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings

Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers

CAT: CRF-based ASR Toolkit

Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition
  via Weakly Phonetic Supervision

Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition


Code for Anisotropies in the Microwave Background

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces

Monthly Notices of the Royal Astronomical Society

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

Improved constraints on cosmic birefringence from the WMAP and Planck cosmic microwave background polarization data

Non-linear damping of superimposed primordial oscillations on the matter power spectrum in galaxy surveys

Journal of Cosmology and Astroparticle Physics

Frequency-dependent constraints on cosmic birefringence from the LFI and HFI Planck Data Release 4

On the road to per cent accuracy - II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies

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

Constraining primordial non-Gaussianity using two galaxy surveys and CMB lensing

Updated constraints on amplitude and tilt of the tensor primordial spectrum


Gin provides a lightweight configuration framework for Python

Dopamine: A Research Framework for Deep Reinforcement Learning

Scaling Up Models and Data with  and

PyGlove: Symbolic Programming for Automated Machine Learning

Real-time Timbre Transfer and Sound Synthesis using DDSP

Ariadne: PyTorch library for particle track reconstruction using deep learning

PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)

A comparison of reinforcement learning frameworks for software testing tasks

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series


Tensor Network Python (TeNPy)

Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)

Observation of many-body scarring in a Bose-Hubbard quantum simulator

Strain-Induced Quantum Phase Transitions in Magic-Angle Graphene

Influence Matrix Approach to Many-Body Floquet Dynamics

Microscopic evolution of doped Mott insulators from polaronic metal to Fermi liquid

Scalable spin squeezing in a dipolar Rydberg atom array

Measurements Conspire Nonlocally to Restructure Critical Quantum States

Matrix product state pre-training for quantum machine learning

Four-Spin Terms and the Origin of the Chiral Spin Liquid in Mott Insulators on the Triangular Lattice.

Coupling a Mobile Hole to an Antiferromagnetic Spin Background: Transient Dynamics of a Magnetic Polaron


Anything can happen in the next half hour (including spectral timing made easy)!

The corona contracts in a black-hole transient

PINT: A Modern Software Package for Pulsar Timing

Hack weeks as a model for data science education and collaboration

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

All at Once: Transient Pulsations, Spin-down, and a Glitch from the Pulsating Ultraluminous X-Ray Source M82 X-2

The Evolution of the Broadband Temporal Features Observed in the Black-hole Transient MAXI J1820+070 with Insight-HXMT

A black hole X-ray binary at ∼100 Hz: multiwavelength timing of MAXI J1820+070 with HiPERCAM and NICER

Monthly Notices of the Royal Astronomical Society: Letters

Kepler K2 observations of the transitional millisecond pulsar PSR J1023+0038

Optical, X-ray, and γ-ray observations of the candidate transitional millisecond pulsar 4FGL J0427.8-6704

Monthly notices of the Royal Astronomical Society

On the Statistical Properties of Cospectra

The Astrophysical Journal Supplement Series

The evolution of rapid optical/X-ray timing correlations in the initial hard state of MAXI J1820+070


基于视频的目标检测算法研究 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

FlowNet: Learning Optical Flow with Convolutional Networks

Optical Flow Estimation using a Spatial Pyramid Network

Fast and Accurate Online Video Object Segmentation via Tracking Parts

Optimizing Video Object Detection via a Scale-Time Lattice


This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

Physical Adversarial Attacks on an Aerial Imagery Object Detector

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Detection and localization of caries and hypomineralization on dental photographs with a vision transformer model

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments.

A Scenario-Based Functional Testing Approach to Improving DNN Performance

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad

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


Toolkit to Hack Your Deep Learning Models

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time


(CVPR 2021 Oral) Open World Object Detection

Towards Open World Object Detection

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Expanding Low-Density Latent Regions for Open-Set Object Detection

Objects in Semantic Topology


Train embodied agents that can answer questions in environments

Embodied Question Answering

Neural Modular Control for Embodied Question Answering

Multi-Target Embodied Question Answering

Blindfold Baselines for Embodied QA

What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning


Using two stream architecture to implement a classic action recognition method on UCF101 dataset

TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

Deep hierarchical pooling design for cross-granularity action recognition

Action Recognition with Deep Multiple Aggregation Networks


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Evaluating Protein Transfer Learning with TAPE

BERTology Meets Biology: Interpreting Attention in Protein Language Models

ATOM3D: Tasks On Molecules in Three Dimensions

Evolutionary velocity with protein language models

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

Is Transfer Learning Necessary for Protein Landscape Prediction?

Structure Inducing Pre-Training

A Multimodal Protein Representation Framework for Quantifying Transferability Across Biochemical Downstream Tasks

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

Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis


Python 2D rectangle packing library

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks

HPC Extensions to the OpenKIM Processing Pipeline


[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web"

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Dual-View Visual Contextualization for Web Navigation


South-East Asia Large Language Models

Typhoon: Thai Large Language Models

IndoCulture: Exploring Geographically-Influenced Cultural Commonsense
  Reasoning Across Eleven Indonesian Provinces

BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models

Sailor: Open Language Models for South-East Asia

Komodo: A Linguistic Expedition into Indonesia's Regional Languages

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore


A structured list of resources about Sum-Product Networks (SPNs)

Sum-product networks: A survey

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets


A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning

Deep Learning Improves Prediction Of Drug-Drug And Drug-Food Interactions

Zenodo (CERN European Organization for Nuclear Research)

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction

CASTER: Predicting Drug Interactions with Chemical Substructure Representation

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations

MatchMaker: A Deep Learning Framework for Drug Synergy Prediction

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

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

Drug-Drug Adverse Effect Prediction with Graph Co-Attention

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

GCN-BMP: Investigating graph representation learning for DDI prediction task


Creative Commons Attribution 4.0 International

PLIC Specification

Towards a RISC-V Open Platform for Next-generation Automotive ECUs

Mediterranean Conference on Embedded Computing

CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers


Template for the GFW Map Builder that is available through ArcGIS Online, as a stand-alone web application, & a library to build custom Forest Atlas web applications


HyPhy: Hypothesis testing using Phylogenies

Relaxed selection underlies genome erosion in socially parasitic ant species

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Genomic Signature of Shifts in Selection in a Subalpine Ant and Its Physiological Adaptations

Molecular Evolution of Porcine Reproductive and Respiratory Syndrome Virus Field Strains from Two Swine Production Systems in the Midwestern United States from 2001 to 2020

Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses

Random Genetic Drift and Selective Pressures Shaping the Blattabacterium Genome

paPAML: An Improved Computational Tool to Explore Selection Pressure on Protein-Coding Sequences

Chromosome genome assembly and whole genome sequencing of 110 individuals of Conogethes punctiferalis (Guenée)


JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastructure, and can be used to check for concurrency defects like deadlocks, and unhandled exceptions like NullPointerExceptions and AssertionErrors.

Rooting Formal Methods within Higher Education Curricula for Computer Science and Software Engineering -- A White Paper

Symbolic Pathfinder for SV-COMP

Tools and Algorithms for Construction and Analysis of Systems

Java Pathfinder at SV-COMP 2019 (Competition Contribution)

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

Design, implementation, and application of GPU-based Java bytecode interpreters

Proceedings of the ACM on Programming Languages

PASDA: A Partition-based Semantic Differencing Approach with Best Effort Classification of Undecided Cases


A platform for impacted communities to understand their local air quality and advocate for environmental justice.


Plugins for the Ensembl Variant Effect Predictor (VEP)

Pathogenicity and selective constraint on variation near splice sites

A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity

Population-level distribution and putative immunogenicity of cancer neoepitopes

Infertility due to defective sperm flagella caused by an intronic deletion in DNAH17 that perturbs splicing

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction

Journal of chemical information and modeling


Naver sentiment movie corpus

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

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Zero-shot cross-lingual transfer language selection using linguistic similarity

Evaluating morphological typology in zero-shot cross-lingual transfer

Meeting of the Association for Computational Linguistics

A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems

Findings of the Association for Computational Linguistics: EMNLP 2021

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

KOBEST: Korean Balanced Evaluation of Significant Tasks

Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization

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


Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation

Visualizations of Deep Neural Networks in Computer Vision: A Survey

TRANSPARENT DATA MINING FOR BIG AND SMALL DATA

Trends in Explainable AI (XAI) Literature


Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Get To The Point: Summarization with Pointer-Generator Networks

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

R-Drop: Regularized Dropout for Neural Networks

Neural Document Summarization by Jointly Learning to Score and Select Sentences

Deep Reinforcement Learning For Sequence to Sequence Models

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

Sequence Level Contrastive Learning for Text Summarization

A Survey of Automatic Text Summarization: Progress, Process and Challenges

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)


Connectome Mapper

Topographic gradients of intrinsic dynamics across neocortex

Learning function from structure in neuromorphic networks

Signal propagation via cortical hierarchies

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain

Molecular signatures of cognition and affect

Global network structure and local transcriptomic vulnerability shape atrophy in sporadic and genetic behavioral variant frontotemporal dementia


Tools to download and cleanup Common Crawl data

Unsupervised Cross-lingual Representation Learning at Scale

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Neural Machine Translation: A Review of Methods, Resources, and Tools

On Learning Universal Representations Across Languages

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

A Survey on Data Selection for Language Models

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters


BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

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

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Drug repurposing for COVID-19 via knowledge graph completion

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

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

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

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

Stress Test Evaluation of Biomedical Word Embeddings

Workshop on Biomedical Natural Language Processing


BEETL

External memory BWT and LCP computation for sequence collections with applications

Lightweight LCP construction for very large collections of strings

A New Class of String Transformations for Compressed Text Indexing

Lossy Compressor Preserving Variant Calling through Extended BWT

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies

The colored longest common prefix array computed via sequential scans


PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Diffusion Models for Adversarial Purification

On Distillation of Guided Diffusion Models

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling

SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency


Neural question generation using transformers

Synthetic QA Corpora Generation with Roundtrip Consistency

Simplifying Paragraph-level Question Generation via Transformer Language Models

All You May Need for VQA are Image Captions

Improving Biomedical Information Retrieval with Neural Retrievers

Data Augmentation for Biomedical Factoid Question Answering

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges

Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering


Deep Reinforcement Learning for Mention-Ranking Coreference Models

Improving Coreference Resolution by Learning Entity-Level Distributed Representations

Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems

International Journal of Artificial Intelligence in Education

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

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

Coreference Resolution Using Neural MCDM and Fuzzy Weighting Technique

International Journal of Computational Intelligence Systems

Use Generalized Representations, But Do Not Forget Surface Features


A systematic review of homomorphic encryption and its contributions in healthcare industry

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics

FHEBench: Benchmarking Fully Homomorphic Encryption Schemes

k-Anonymously Private Search over Encrypted Data


Spriteworld: a flexible, configurable python-based reinforcement learning environment

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Overview of Software Agent Platforms Available in 2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Provably Learning Object-Centric Representations

AlignNet: Unsupervised Entity Alignment

Disentangled Cumulants Help Successor Representations Transfer to New Tasks

Embrace the Gap: VAEs Perform Independent Mechanism Analysis

Causal Reinforcement Learning: A Survey

Provable Compositional Generalization for Object-Centric Learning


Multivariate Omnibus Statistical Test

Understanding the genetic determinants of the brain with MOSTest

Making the MOSTest of Imaging Genetics

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy and improves prediction

Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness


A volumetric object-level semantic mapping framework.

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

International Conference on Robotics and Automation

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM

Modelify: An approach to incrementally build 3D object models for map completion

The International Journal of Robotics Research


CFD-DEM Solver with emphasis on sediment transport

CFD–DEM simulations of current-induced dune formation and morphological evolution

Investigating the settling dynamics of cohesive silt particles with particle-resolving simulations

Study of sedimentation of non-cohesive particles via CFD–DEM simulations

Realistic representation of grain shapes in CFD-DEM simulations of sediment transport with a bonded-sphere approach

Coupled CFD‐DEM modeling to predict how EPS affects bacterial biofilm deformation, recovery and detachment under flow conditions

Sediment micromechanics in sheet flows induced by asymmetric waves: A CFD-DEM study

Particle dynamics in self-generated dunes over a range of hydraulic and sediment transport conditions using LES--DEM

Numerical Investigating on Representativeness of Tracers in PIV Model Test of Dredged Slurry Treated by Vacuum Preloading

CAMDLES: CFD-DEM Simulation of Microbial Communities in Spaceflight and Artificial Microgravity


Repository for NeurIPS 2020 Spotlight  "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Black Box Lie Group Preconditioners for SGD

A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning

AdamL: A fast adaptive gradient method incorporating loss function

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity


A tool to identify, orient, trim and rescue full length cDNA reads

Construction of a chromosome-scale long-read reference genome assembly for potato

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

Single-cell multi-omics in the medicinal plant Catharanthus roseus

The Human Adenovirus 2 Transcriptome: an Amazing Complexity of Alternatively Spliced mRNAs

RUNX1 isoform disequilibrium promotes the development of trisomy 21–associated myeloid leukemia

Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing

Chromosome-Level Genome Assembly of the Asian Red-Tail Catfish (Hemibagrus wyckioides)

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein

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

Integrative Analysis of Nanopore and Illumina Sequencing Reveals Alternative Splicing Complexity in Pig Longissimus Dorsi Muscle


File system and storage benchmark that uses a custom language to generate a large variety of workloads.

Supporting Security Sensitive Tenants in a Bare-Metal Cloud

DurableFS: A File System for Persistent Memory

RIO: Order-Preserving and CPU-Efficient Remote Storage Access

Proceedings of the Eighteenth European Conference on Computer Systems

LearnedFTL: A Learning-based Page-level FTL for Improving Random Reads in Flash-based SSDs

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

Separation of Virtual Machine I/O in Cloud Systems

SCJ: Segment Cleaning Journaling for Log-Structured File Systems

A social link based private storage cloud

International Conference on Parallel and Distributed Systems

UPSS: A Global, Least-Privileged Storage System with Stronger Security and Better Performance

Proceedings of the 10th International Conference on Information Systems Security and Privacy

I/O Transit Caching for PMem-based Block Device


Similarity or Distance Metrics, e.g. Levenshtein, for Java

Distributed representations of tuples for entity resolution

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain

Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization

Generating Concise Entity Matching Rules

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease

Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents

BMC medical informatics and decision making

UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity

International Workshop on Semantic Evaluation

An analysis of one-to-one matching algorithms for entity resolution

Static Analysis for Improved Modularity of Procedural Web Application Programming Interfaces

Private Exploration Primitives for Data Cleaning.


Official implementation of PVT series

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

PVT v2: Improved baselines with Pyramid Vision Transformer

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

TransMorph: Transformer for unsupervised medical image registration

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Rethinking Range View Representation for LiDAR Segmentation

Mesa: A Memory-saving Training Framework for Transformers

What Makes for Good Tokenizers in Vision Transformer?

Spatial Entropy as an Inductive Bias for Vision Transformers

NOAH: Learning Pairwise Object Category Attentions for Image
  Classification


Data package: renewable power plants


DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

kMaX-DeepLab: k-means Mask Transformer

STEP: Segmenting and Tracking Every Pixel

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

DeepLab2: A TensorFlow Library for Deep Labeling

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation

PolyMaX: General Dense Prediction with Mask Transformer


The Chroma Software System for Lattice QCD

A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics

Λ_c →Λ^*(1520) form factors from lattice QCD and improved analysis of the Λ_b →Λ^*(1520) and Λ_b →Λ_c^*(2595,2625) form factors

Simulating the Weak Death of the Neutron in a Femtoscale Universe with Near-Exascale Computing

SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations

Charm-baryon semileptonic decays and the strange Λ^* resonances: New insights from lattice QCD

Exclusive semileptonic B_s→ K ℓν decays on the lattice

Lattice gauge ensembles and data management

Status of next-generation Λ_b → p, Λ, Λ_c form-factor calculations

Quantum Chromodynamics: Computational Aspects

Form factors for the charm-baryon semileptonic decay Ξ_c→Ξℓν from domain-wall lattice QCD


MagIC is a high-performance code that solves the magneto-hydrodynamics equations in rotating spherical shells

Spherical convective dynamos in the rapidly rotating asymptotic regime

Scaling regimes in spherical shell rotating convection

EXPLAINING THE COEXISTENCE OF LARGE-SCALE AND SMALL-SCALE MAGNETIC FIELDS IN FULLY CONVECTIVE STARS

Approaching a realistic force balance in geodynamo simulations

Effect of shear and magnetic field on the heat-transfer efficiency of convection in rotating spherical shells

Dynamo-based limit to the extent of a stable layer atop Earth’s core

Helicity inversion in spherical convection as a means for equatorward dynamo wave propagation

Monthly Notices of the Royal Astronomical Society

Deep rotating convection generates the polar hexagon on Saturn

Multiple zonal jets in a turbulent Jovian dynamo model

Physical conditions for Jupiter-like dynamo models


(Formerly Solium) Code quality & Security Linter for Solidity

Assessing Smart Contracts Security Technical Debts

Continuous and Secure Integration Framework for Smart Contracts


Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

ggfortify: Unified Interface to Visualize Statistical Results of Popular R Packages

Response of Brassica napus to Plasmodiophora brassicae Involves Salicylic Acid-Mediated Immunity: An RNA-Seq-Based Study

A Simple Guideline to Assess the Characteristics of RNA-Seq Data

Transcriptomic Response under Heat Stress in Chickens Revealed the Regulation of Genes and Alteration of Metabolism to Maintain Homeostasis

Animals : an open access journal from MDPI

Blood transcriptome comparison between sexes and their function in 4-week Rhode Island red chickens


The Herd toolsuite to deal with .cat memory models (version 7.xx)

Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8

Symposium on Principles of Programming Languages

Bridging the gap between programming languages and hardware weak memory models

The semantics of transactions and weak memory in x86, Power, ARM, and C++

Repairing and Mechanising the JavaScript Relaxed Memory Model

Programming Language Design and Implementation

Transactions in relaxed memory architectures

Dartagnan: Bounded Model Checking for Weak Memory Models (Competition Contribution)

Tools and Algorithms for Construction and Analysis of Systems

Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models

Weak Memory Demands Model-based Compiler Testing

Parallelized sequential composition, pipelines, and hardware weak memory models

Compiler Testing with Relaxed Memory Models


Livermore Big Artificial Neural Network Toolkit

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


Suite of C++ libraries for radio astronomy data processing

Cobalt: A GPU-based correlator and beamformer for LOFAR

AdiosStMan: Parallelizing Casacore Table Data System Using Adaptive IO System

Evolutionary Map of the Universe (EMU): A pilot search for diffuse, non-thermal radio emission in galaxy clusters with the Australian SKA Pathfinder

Reduced-Precision Acceleration of Radio-Astronomical Imaging on Reconfigurable Hardware


Proceedings of the 2022 XCSP3 Competition

Schur's theorem in integer lattices

Towards the shortest DRAT proof of the Pigeonhole Principle