Transit Least Squares: An optimized transit-fitting algorithm to search for periodic transits of small planets

Optimized transit detection algorithm to search for periodic transits of small planets

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) -- II. Search for exoplanets in open clusters of the southern ecliptic hemisphere and their frequency

Monthly Notices of the Royal Astronomical Society

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

Decoding the radial velocity variations of HD 41248 with ESPRESSO

Transit least-squares survey: I. Discovery and validation of an Earth-sized planet in the four-planet system K2-32 near the 1:2:5:7 resonance

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

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - III. Exploring the properties of young associations through their variables, dippers, and candidate exoplanets

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - IV. Candidate exoplanets around stars in open clusters: frequency and age-planetary radius distribution

The CARMENES search for exoplanets around M dwarfs

Transit least-squares survey


Cosmo is a fast, low-memory DNA assembler using a Succinct (variable order) de Bruijn Graph.

Variable-Order de Bruijn Graphs

Rainbowfish: A Succinct Colored de Bruijn Graph Representation

Building large updatable colored de Bruijn graphs via merging

Succinct k-mer Sets Using Subset Rank Queries on the Spectral Burrows-Wheeler Transform *

Simulating the DNA String Graph in Succinct Space


Efficient algorithms for analyzing DNA methylation data.

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Meffil: efficient normalization and analysis of very large DNA methylation datasets

Distinct DNA methylation profiles in subtypes of orofacial cleft

Genetic regulation of methylation in human endometrium and blood and gene targets for reproductive diseases

Meffil: efficient normalisation and analysis of very large DNA methylation samples

Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health

DNA methylation changes following narrative exposure therapy in a randomized controlled trial with female former child soldiers

Identifying epigenetic biomarkers of established prognostic factors and survival in a clinical cohort of individuals with oropharyngeal cancer

Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer

Increased Methylation of Brain-Derived Neurotrophic Factor (BDNF) Is Related to Emotionally Unstable Personality Disorder and Severity of Suicide Attempt in Women


Extension of the SentenceSimplification project

Transforming Complex Sentences into a Semantic Hierarchy

DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German

Context-Preserving Text Simplification

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


A quickstart tool for AmpliconArchitect. Performs all preliminary steps (alignment, CNV calling, seed interval detection) required prior to running AmpliconArchitect. Previously called PrepareAA.

Epigenetic dysregulation from chromosomal transit in micronuclei

The landscape of extrachromosomal circular DNA in medulloblastoma

Integrated analysis of single-cell chromatin state and transcriptome identified common vulnerability despite glioblastoma heterogeneity

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

Mutational topography reflects clinical neuroblastoma heterogeneity

Zenodo (CERN European Organization for Nuclear Research)

AmpliconReconstructor: Integrated analysis of NGS and optical mapping resolves the complex structures of focal amplifications in cancer

3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression

bioRxiv : the preprint server for biology


DDO a generic and efficient framework for MDD-based  optimization.

Discrete Optimization with Decision Diagrams

PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2015

Parallel Combinatorial Optimization with Decision Diagrams

Improving the filtering of Branch-And-Bound MDD solver (extended)

Theoretical insights and algorithmic tools for decision diagram-based optimization


Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Robustness for Non-Parametric Classification: A Generic Attack and Defense

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets

Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems

Evading Black-box Classifiers Without Breaking Eggs

Geometrically Adaptive Dictionary Attack on Face Recognition

Automated Decision-based Adversarial Attacks


suite to deal with passband photometry

Gaia Data Release 3: Apsis II -- Stellar Parameters

HAL (Le Centre pour la Communication Scientifique Directe)

The Gaia DR2 parallax zero-point: hierarchical modelling of red clump stars

Monthly notices of the Royal Astronomical Society

The GALAH survey: multiple stars and our Galaxy

The Tidal Disruption Event AT 2018hyz II:Light-curve modelling of a partially disrupted star

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

A catalogue of cataclysmic variables from 20 years of the Sloan Digital Sky Survey with new classifications, periods, trends and oddities

Luminous Supernovae: Unveiling a Population between Superluminous and Normal Core-collapse Supernovae

SQuIGGL⃗E Survey: Massive z∼0.6 Post-Starburst Galaxies
  Exhibit Flat Age Gradients

OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers

A 99-minute Double-lined White Dwarf Binary from SDSS-V


:warning: ARCHIVED :warning: R client for the PLoS Journals API

Social Relationships and Mortality Risk: A Meta-analytic Review

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Facebook Use Predicts Declines in Subjective Well-Being in Young Adults

Big Data: Astronomical or Genomical?

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

The prevalence of statistical reporting errors in psychology (1985–2013)

A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014

Impact of Ocean Warming and Ocean Acidification on Larval Development and Calcification in the Sea Urchin Tripneustes gratilla

Ten Simple Rules for Writing a Literature Review

Ten simple rules for responsible big data research


Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

A Survey of Advances in Landscape Analysis for Optimisation

Trajectory-based Algorithm Selection with Warm-starting

Neural Network Design: Learning from Neural Architecture Search


Probabilistic Context Free Grammar (PCFG) password guess generator

Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries

Generative Deep Learning Techniques for Password Generation

Understanding Offline Password-Cracking Methods: A Large-Scale Empirical Study

SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking


A toolkit for Spoken Language Understanding Evaluation (SLUE) benchmark. Refer paper https://arxiv.org/abs/2111.10367 for more details. Official website: https://asappresearch.github.io/slue-toolkit/

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

Integrating Self-supervised Speech Model with Pseudo Word-level Targets
  from Visually-grounded Speech Model


A Python Library for modeling combinatorial constrained problems

XCSP3: An Integrated Format for Benchmarking Combinatorial Constrained Problems

PyCSP3: Modeling Combinatorial Constrained Problems in Python

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems

Proceedings of the 2022 XCSP3 Competition


CMU ARK Twitter Part-of-Speech Tagger

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Learning a POS tagger for AAVE-like language

North American Chapter of the Association for Computational Linguistics

Adapting taggers to Twitter with not-so-distant supervision

International Conference on Computational Linguistics

CSIRO Data61 at the WNUT Geo Shared Task

Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification


Evaluate variant calls and its combination with k-mer multiplicity

An improved ovine reference genome assembly to facilitate in-depth functional annotation of the sheep genome

A Reference Genome Assembly of American Bison, Bison bison bison

Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks


Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs

Extending Llama-3's Context Ten-Fold Overnight

Enhancing Clinical Efficiency through LLM: Discharge Note Generation for
  Cardiac Patients

WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare
  with Large Language Models, Dynamic Expert Selection, and Priming Techniques
  on MIMIC-IV

Cheap Ways of Extracting Clinical Markers from Texts

WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles


Lima - Demultiplex Barcoded PacBio Samples

CeMbio - The Caenorhabditis elegans Microbiome Resource.

Corrigendum: Occurrence and Characterization of mcr-1-Positive Escherichia coli Isolated From Food-Producing Animals in Poland, 2011–2016

A Reference Genome Sequence for Giant Sequoia

Microbial Community Dynamics and Natural Fermentation Profiles of Ensiled Alpine Grass Elymus nutans Prepared From Different Regions of the Qinghai-Tibetan Plateau

Fermented Soybean Meal Replacement in the Diet of Lactating Holstein Dairy Cows: Modulated Rumen Fermentation and Ruminal Microflora

Rhizosphere-Associated Microbiomes of Rice (Oryza sativa L.) Under the Effect of Increased Nitrogen Fertilization

Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

PacBio long-read amplicon sequencing enables scalable high-resolution population allele typing of the complex CYP2D6 locus

Genome annotation with long RNA reads reveals new patterns of gene expression and improves single-cell analyses in an ant brain

Effects of different additives on the bacterial community and fermentation mode of whole-plant paper mulberry silage


Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

Playing for 3D Human Recovery


A genome assembler that reduces the computational time of human genome assembly from 400,000 CPU hours to 2,000 CPU hours, utilizing long erroneous 3GS sequencing reads and short accurate NGS sequencing reads.

DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

HASLR: Fast Hybrid Assembly of Long Reads

New High-Quality Draft Genome of the Brown Rot Fungal Pathogen Monilinia fructicola

Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae)

Hybrid Genome Assembly and Evidence-Based Annotation of the Egg Parasitoid and Biological Control AgentTrichogramma brassicae

Population Genomic Approaches for Weed Science

Comparative analysis of 84 chloroplast genomes of Tylosema esculentum reveals two distinct cytotypes


Diffusion map based embedding and alignment

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex

Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding

Topographic gradients of intrinsic dynamics across neocortex

Multiscale communication in cortico-cortical networks

Multimodal phenotypic axes of Parkinson’s disease

LittleBrain: A gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings

Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation

Asymmetric Functional Gradients in the Human Subcortex

Domain adapted brain network fusion captures variance related to pubertal brain development and mental health

A Parcellation Scheme of Mouse Isocortex Based on Reversals in Connectivity Gradients


ChIP-Atlas: Browse and analyze all public ChIP/DNase-seq data on your browser

ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data

Accelerated Evolution in Distinctive Species Reveals Candidate Elements for Clinically Relevant Traits, Including Mutation and Cancer Resistance

FOXO1 stimulates tip cell-enriched gene expression in endothelial cells

A Combinatorial Regulatory Platform Determines Expression of RNA Polymerase III Subunit RPC7α (POLR3G) in Cancer

AKT1 induces Nanog promoter in a SUMOylation-dependent manner in different pluripotent contexts


Fast & scalable Gaussian Processes in one dimension

Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops

Spi-OPS: Spitzer and CHEOPS confirm the near-polar orbit of MASCARA-1 b and reveal a hint of dayside reflection

Statistical Methods for Exoplanet Detection with Radial Velocities

Annual Review of Statistics and Its Application

Photometric detection of internal gravity waves in upper main-sequence stars. III. Comparison of amplitude spectrum fitting and Gaussian process regression using celerite2

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


Material del curso de Sistemas Recomendadores IIC3633 PUC Chile

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Recommending what video to watch next: a multitask ranking system

Controlling Fairness and Bias in Dynamic Learning-to-Rank

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

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Self-Supervised Reinforcement Learning for Recommender Systems

Personalized Re-ranking for Recommendation

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems

Neural Interactive Collaborative Filtering


Quality information extraction at web scale. Edit

Neural Open Information Extraction

Span Model for Open Information Extraction on Accurate Corpus

A Sentence Simplification System for Improving Relation Extraction

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling

International Conference on Computational Semantics

Analysing Errors of Open Information Extraction Systems

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

AI-driven streamlined modeling: experiences and lessons learned from multiple domains

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


[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Clustering based Point Cloud Representation Learning for 3D Analysis

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

MicroDreamer: Zero-shot 3D Generation in ∼20 Seconds by Score-based
  Iterative Reconstruction


A library for building hierarchical text representation and corresponding downstream applications.

R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

Generative Pretrained Structured Transformers: Unsupervised Syntactic
  Language Models at Scale

Augmenting transformers with recursively composed multi-grained representations


Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

A Gradient-Interleaved Scheduler for Energy-Efficient Backpropagation for Training Neural Networks

International Symposium on Circuits and Systems

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting


A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.

QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation

Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms

SoK: Benchmarking the Performance of a Quantum Computer

Hardware Architecture for a Quantum Computer Trusted Execution Environment

Quantum Circuit Reconstruction from Power Side-Channel Attacks on
  Quantum Computer Controllers


A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling

Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach

Dynamics of directional tuning and reference frames in humans: A high-density EEG study

Neural and behavioral adaptations to frontal theta neurofeedback training: A proof of concept study

MuseStudio: Brain Activity Data Management Library for Low-Cost EEG Devices

NeuXus: A Biosignal Processing and Classification Pipeline for Real-Time Brain-Computer Interaction

An open-source human-in-the-loop BCI research framework: method and design

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files


CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

LawBench: Benchmarking Legal Knowledge of Large Language Models

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training

Adaptive Chinese Pinyin IME for Most Similar Representation


Tool that tries to guess a person's gender based on their name and location

BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews

The Gender Gap in Scholarly Self-Promotion on Social Media

Code reviews in open source projects : how do gender biases affect participation and outcomes?

On the Dynamics of Local to Global Campaigns for Curbing Gender-based Violence

Are Code Review Processes Influenced by the Genders of the Participants?

An Empirical Comparison of Ethnic and Gender Diversity of DevOps and non-DevOps Contributions to Open-Source Projects


High-definition likelihood inference of genetic correlations (HDL)

Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis

Exploring cellular markers of metabolic syndrome in peripheral blood mononuclear cells across the neuropsychiatric spectrum

Deciphering genetic causes for sex differences in human health through drug metabolism and transporter genes

Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human aging

Genetic and phenotypic analysis of the causal relationship between aging and COVID-19

Genetic overlap between Parkinson’s disease and inflammatory bowel disease

Genetically independent phenotype analysis identifies LPA and VCAM1 as drug targets for human ageing


**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Generative Spoken Language Modeling from Raw Audio


Reinforcement learning algorithms for MuJoCo tasks

MOReL : Model-Based Offline Reinforcement Learning

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

A Game Theoretic Framework for Model Based Reinforcement Learning

RRL: Resnet as representation for Reinforcement Learning


Themis™ is a software fairness tester.

A comparative study of fairness-enhancing interventions in machine learning

Fairness Testing: Testing Software for Discrimination

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


Emu Series: Generative Multimodal Models from BAAI

Generative Multimodal Models are In-Context Learners

Generative Pretraining in Multimodality


Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Trust Region Policy Optimization

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Emergence of Locomotion Behaviours in Rich Environments

Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learning

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Intelligent Trainer for Model-Based Reinforcement Learning


Fine-tuned  MARL algorithms on SMAC (100% win rates on most scenarios)

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation


PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning

Learning compositional models of robot skills for task and motion planning

STRIPS Planning in Infinite Domains

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

Combined Task and Motion Planning Via Sketch Decompositions (Extended
  Version with Supplementary Material)


AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.

Experimentally validated geometrically exact model for extreme nonlinear motions of cantilevers

Methods of continuation and their implementation in the COCO software platform with application to delay differential equations

Nonlinear damping in micromachined bridge resonators

The Role of Sea-ice Processes on the Probability of AMOC Transitions

Travelling waves in a PDE-ODE coupled system with nonlinear diffusion

Modeling of dual frequency combs and bistable solitons in third-harmonic generation


Ariane is a 6-stage RISC-V CPU

TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities

An Exhaustive Approach to Detecting Transient Execution Side Channels in RTL Designs of Processors

Efficient Sealable Protection Keys for RISC-V


Fast HLA type inference from whole-genome data

HLA*LA—HLA typing from linearly projected graph alignments

Computational cancer neoantigen prediction: current status and recent advances

De novo assembly of human genome at single-cell levels

In silico tools for accurate HLA and KIR inference from clinical sequencing data empower immunogenetics on individual-patient and population scales

Human leukocyte antigen class II gene diversity tunes antibody repertoires to common pathogens

HLA*PRG:LA – HLA typing from linearly projected graph alignments


A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering

A novel and fully automatic spike-sorting implementation with variable number of features

The role of forelimb motor cortex areas in goal directed action in mice

Representation of abstract semantic knowledge in populations of human single neurons in the medial temporal lobe

Application of Spike Sorting Algorithm to Neuronal Signals Originated from Boron Doped Diamond Micro-Electrode Arrays


microsatellite instability detection using tumor only or paired tumor-normal data

MSIsensor: microsatellite instability detection using paired tumor-normal sequence data

Patient-derived xenografts and organoids model therapy response in prostate cancer

Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer

MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability

基因组蛋白质组与生物信息学报

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

Analysis pipelines for cancer genome sequencing in mice

Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival?

Neurofibromatosis type 1 mosaicism in patients with constitutional mismatch repair deficiency

Immune checkpoint inhibitor‐related molecular markers predict prognosis in extrahepatic cholangiocarcinoma

Therapeutic HDAC inhibition in hypermutant diffuse intrinsic pontine glioma


SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

SNIPER: Efficient Multi-Scale Training

AutoFocus: Efficient Multi-Scale Inference

R-FCN-3000 at 30fps: Decoupling Detection and Classification

EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

Scale Normalized Image Pyramids with AutoFocus for Object Detection

A GAN-Based Input-Size Flexibility Model for Single Image Dehazing


A library for researching neural networks compression and acceleration methods.

Learning both Weights and Connections for Efficient Neural Networks

To prune, or not to prune: exploring the efficacy of pruning for model compression

Q8BERT: Quantized 8Bit BERT

Discovering Neural Wirings

Prune Once for All: Sparse Pre-Trained Language Models


An efficient PyTorch library for deep generative modeling.

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

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

Linear Semantics in Generative Adversarial Networks

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense


Comically fast Dota 2, CSGO, CS2 and Deadlock replay parser written in Java.

Win Prediction in Multiplayer Esports: Live Professional Match Prediction

Time to Die: Death Prediction in Dota 2 using Deep Learning

What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours

PROCEEDINGS OF 3RD IEEE/ACM INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS, (DSAA 2016)

Modeling Individual and Team Behavior through Spatio-temporal Analysis

Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games

Sequential Item Recommendation in the MOBA Game Dota 2

Automatic Player Identification in Dota 2


PENMAN notation (e.g. AMR) in Python

AMR Parsing as Sequence-to-Graph Transduction

Penman: An Open-Source Library and Tool for AMR Graphs

Meeting of the Association for Computational Linguistics

Promoting Graph Awareness in Linearized Graph-to-Text Generation

AMR Normalization for Fairer Evaluation

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation


Models and datasets for perturbational single-cell omics

Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types

Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response

Pooled CRISPR screening with single-cell transcriptome read-out

A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens

Massively multiplex chemical transcriptomics at single-cell resolution

In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes

Exploring genetic interaction manifolds constructed from rich single-cell phenotypes

On the design of CRISPR-based single cell molecular screens

Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial fluidic indexing


Python library for multilinear algebra and tensor factorizations

Type-Constrained Representation Learning in Knowledge Graphs

Introduction to Tensor Decompositions and their Applications in Machine Learning

Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction

Tracking System Behaviour from Resource Usage Data

AutoHOOT: Automatic High-Order Optimization for Tensors


MoleculeX: a new and rapidly growing suite of machine     learning methods and software tools for molecule exploration

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks


Multi-Output Gaussian Process Toolkit

MOGPTK: The Multi-Output Gaussian Process Toolkit

SAMBA: Safe Model-Based & Active Reinforcement Learning

Federated Estimation of Causal Effects from Observational Data

Gaussian process imputation of multiple financial series

Detecting the periodicity of highly irregularly sampled light-curves with Gaussian processes: the case of SDSS J025214.67-002813.7

Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures


This repository contains code and metadata of How2 dataset

How2: A Large-scale Dataset for Multimodal Language Understanding

Multimodal Grounding for Sequence-to-Sequence Speech Recognition

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Challenges with Sign Language Datasets for Sign Language Recognition and Translation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

On Leveraging the Visual Modality for Neural Machine Translation

Predicting Actions to Help Predict Translations

BASS: Block-wise Adaptation for Speech Summarization


Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Text Summarization with Pretrained Encoders

Fine-tune BERT for Extractive Summarization

Extractive Summarization as Text Matching

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

Keyphrase Extraction from Scientific Articles via Extractive Summarization

Proceedings of the Second Workshop on Scholarly Document Processing

IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation


A visual simulator for teaching computer architecture using the RISC-V instruction set

A Survey of the RISC-V Architecture Software Support


Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Deep Reinforcement Learning: An Overview

Safe Reinforcement Learning via Shielding

Beating Atari with Natural Language Guided Reinforcement Learning

Resetting the Optimizer in Deep RL: An Empirical Study

Multi-Objective Deep Q-Learning with Subsumption Architecture


Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

Image-to-Markup Generation with Coarse-to-Fine Attention

MathBERT: A Pre-Trained Model for Mathematical Formula Understanding

Automatic Generation of Headlines for Online Math Questions

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions

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


Binary Decision Diagrams (BDDs) in pure Python and Cython wrappers of CUDD, Sylvan, and BuDDy

On Efficiently Explaining Graph-Based Classifiers

The Reactive Synthesis Competition (SYNTCOMP): 2018-2021

A multi-paradigm language for reactive synthesis

A Comparison of BDD-Based Parity Game Solvers

Symbolic Parity Game Solvers that Yield Winning Strategies

On Deciding Feature Membership in Explanations of SDD & Related Classifiers

Prioritizing Corners in OoD Detectors via Symbolic String Manipulation

Fault Diagnosability Analysis of Multi-Mode Systems


Trojan Attack on Neural Network

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

Proceedings of the 39th International Conference on Computer-Aided Design

Trojan Signatures in DNN Weights

Trembling triggers: exploring the sensitivity of backdoors in DNN-based face recognition

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks


Tools for finite state automata construction and dictionary-based morphological dictionaries. Includes Polish stemming dictionary.

IXA pipeline: Efficient and Ready to Use Multilingual NLP tools

Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish

Multilingual, Efficient and Easy NLP Processing with IXA Pipeline

Conference of the European Chapter of the Association for Computational Linguistics


Fast and compact minimal perfect hash functions in C++.

PTHash: Revisiting FCH Minimal Perfect Hashing

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

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

PHOBIC: Perfect Hashing with Optimized Bucket Sizes and Interleaved
  Coding


Chinese AI & Law Challenge

Overview of CAIL2018: Legal Judgment Prediction Competition

A Computational Intelligence Model for Legal Prediction and Decision Support

Computational intelligence and neuroscience

De-biased Attention Supervision for Text Classification with Causality

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 17

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch


PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Learning hierarchical relationships for object-goal navigation

Learning Existing Social Conventions via Observationally Augmented Self-Play

Learning to Unknot

Learning Existing Social Conventions in Markov Games


Reference setup for iC880a gateways running The Things Network

A Dual Key-Based Activation Scheme for Secure LoRaWAN

Wireless Communications and Mobile Computing

Enhancing Extensive and Remote LoRa Deployments through MEC-Powered Drone Gateways

LoRaWAN Base Station Improvement for Better Coverage and Capacity

Journal of Low Power Electronics and Applications


Kraken taxonomic sequence classification system

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Algorithms and strategies in short‐read shotgun metagenomic reconstruction of plant communities

Re-analysis of metagenomic sequences from acute flaccid myelitis patients reveals alternatives to enterovirus D68 infection

Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014-15 influenza season

The evolutionary mechanism of non-carbapenemase carbapenem-resistant phenotypes in Klebsiella spp

Diagnostic Value and Clinical Application of Metagenomic Next-Generation Sequencing for Infections in Critically Ill Patients

Bacterial and Genetic Features of Raw Retail Pork Meat: Integrative Analysis of Antibiotic Susceptibility, Whole-Genome Sequencing, and Metagenomics


Multi-modality pre-training

Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers

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

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

MaCSC: Towards Multimodal-augmented Pre-trained Language Models via Conceptual Prototypes and Self-balancing Calibration

North American Chapter of the Association for Computational Linguistics


A curated list of awesome smartnic tutorials, papers and projects.

ClickNP: Highly Flexible and High Performance Network Processing with Reconfigurable Hardware

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION (SIGCOMM '16)

UNO: uniflying host and smart NIC offload for flexible packet processing

LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism

Symposium on Operating Systems Principles

The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications

Xenic: SmartNIC-Accelerated Distributed Transactions

Automated SmartNIC Offloading Insights for Network Functions

Autonomous NIC offloads

International Conference on Architectural Support for Programming Languages and Operating Systems

A Case for SmartNIC-accelerated Private Communication

PROCEEDINGS OF 2020 4TH ASIA-PACIFIC WORKSHOP ON NETWORKING, APNET 2020

Accelerating Flow Processing Middleboxes with Programmable NICs

Exploring Mellanox Bluefield SmartNICs as Accelerators for Heterogeneous Architectures


Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Knowledge distillation: A good teacher is patient and consistent

Exploring the Limits of Out-of-Distribution Detection

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

DICE: Leveraging Sparsification for Out-of-Distribution Detection

Supervised Transfer Learning at Scale for Medical Imaging

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Robust and Efficient Medical Imaging with Self-Supervision

Deep learning models for histologic grading of breast cancer and association with disease prognosis

Active Learning Helps Pretrained Models Learn the Intended Task


Evolution Strategies in JAX

evosax: JAX-based Evolution Strategies

Discovering Evolution Strategies via Meta-Black-Box Optimization

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization

cmaes : A Simple yet Practical Python Library for CMA-ES

Evolution Transformer: In-Context Evolutionary Optimization

B2Opt: Learning to Optimize Black-box Optimization with Little Budget


Panoramic stitching of single cell data

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations

Computational methods for the integrative analysis of single-cell data

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences

Expression quantitative trait locus studies in the era of single-cell omics


Software Development Kit for the Oxford Robotcar Dataset

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

The Oxford Road Boundaries Dataset


autodp: A flexible and easy-to-use package for differential privacy

Subsampled Rényi Differential Privacy and Analytical Moments Accountant

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Fast-adapting and privacy-preserving federated recommender system

Poission Subsampled Rényi Differential Privacy

International Conference on Machine Learning

Optimal Accounting of Differential Privacy via Characteristic Function

Mixed Differential Privacy in Computer Vision

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Pre-trained Perceptual Features Improve Differentially Private Image Generation

Federated Boosted Decision Trees with Differential Privacy


Discontinuous Galerkin methods for a dispersive wave hydro-morphodynamic model with bed-load transport

Discontinuous Galerkin methods for a dispersive wave hydro-sediment-morphodynamic model

Computer Methods in Applied Mechanics and Engineering


Titin Circular RNAs Create a Back-Splice Motif Essential for SRSF10 Splicing

circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs


A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights


A prompting enhancement library for transformers-type text embedding systems

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models

Synthetic Image Generation in Cyber Influence Operations: An Emergent
  Threat?

DreamWalk: Style Space Exploration using Diffusion Guidance

From Words to Worlds: Transforming One-line Prompt into Immersive
  Multi-modal Digital Stories with Communicative LLM Agent


Precision Radio Interferometry Simulator (for radio astronomy applications)

Hydrogen Epoch of Reionization Array (HERA)

Publications of the Astronomical Society of the Pacific

A Simplified, Lossless Reanalysis of PAPER-64

EFFECTS OF ANTENNA BEAM CHROMATICITY ON REDSHIFTED 21 cm POWER SPECTRUM AND IMPLICATIONS FOR HYDROGEN EPOCH OF REIONIZATION ARRAY

THE HYDROGEN EPOCH OF REIONIZATION ARRAY DISH. I. BEAM PATTERN MEASUREMENTS AND SCIENCE IMPLICATIONS

THE HYDROGEN EPOCH OF REIONIZATION ARRAY DISH. II. CHARACTERIZATION OF SPECTRAL STRUCTURE WITH ELECTROMAGNETIC SIMULATIONS AND ITS SCIENCE IMPLICATIONS

A Unified Calibration Framework for 21 cm Cosmology

Monthly notices of the Royal Astronomical Society

Detecting Cosmic Reionization Using the Bispectrum Phase

Detection of cosmic structures using the bispectrum phase. II. First results from application to cosmic reionization using the Hydrogen Epoch of Reionization Array

Detection of cosmic structures using the bispectrum phase. I. Mathematical foundations

Imaging and Modeling Data from the Hydrogen Epoch of Reionization Array


A library for manipulating DMRS structures

Functional Distributional Semantics

A Proposition-Based Abstractive Summariser

International Conference on Computational Linguistics

Semantic Composition via Probabilistic Model Theory

Graph- and surface-level sentence chunking

Meeting of the Association for Computational Linguistics

Variational Inference for Logical Inference


Bayesian Optimization using GPflow

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

GPflowOpt: A Bayesian Optimization Library using TensorFlow

Supervised Machine Learning Techniques: An Overview with Applications to Banking

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

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


Parametric component separation for Cosmic Microwave Background observations

Probing cosmic inflation with theLiteBIRDcosmic microwave background polarization survey

Progress of Theoretical and Experimental Physics

Measuring the spectrum of primordial gravitational waves with CMB, PTA and laser interferometers

Journal of Cosmology and Astroparticle Physics

The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes

Principal component analysis of the primordial tensor power spectrum

The Simons Observatory: Galactic Science Goals and Forecasts

Foreground model recognition through Neural Networks for CMB B-mode observations

Requirements for future CMB satellite missions: photometric and band-pass response calibration

Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations

Characterizing cosmic birefringence in the presence of Galactic foregrounds and instrumental systematic effects


TN93 fast distance calculator

The emergence and ongoing convergent evolution of the SARS-CoV-2 N501Y lineages

Using HIV Networks to Inform Real Time Prevention Interventions

Selection Analysis Identifies Clusters of Unusual Mutational Changes in Omicron Lineage BA.1 That Likely Impact Spike Function

Early Antiretroviral Therapy Is Associated with Lower HIV DNA Molecular Diversity and Lower Inflammation in Cerebrospinal Fluid but Does Not Prevent the Establishment of Compartmentalized HIV DNA Populations

Compartmentalized HIV rebound in the central nervous system after interruption of antiretroviral therapy

SARS-CoV-2 genomes from Saudi Arabia implicate nucleocapsid mutations in host response and increased viral load

Selection analysis identifies unusual clustered mutational changes in Omicron lineage BA.1 that likely impact Spike function

bioRxiv : the preprint server for biology

Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions

Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection

Deep-sequence phylogenetics to quantify patterns of HIV transmission in the context of a universal testing and treatment trial – BCPP/Ya Tsie trial


Modelling primary beams of radio astronomy antennas

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

Monthly Notices of the Royal Astronomical Society

The flickering nuclear activity of Fornax A

H i intensity mapping with MeerKAT: primary beam effects on foreground cleaning

Radio footprints of a minor merger in the Shapley Supercluster: From supercluster down to galactic scales

Mining mini-halos with MeerKAT I. Calibration and imaging


Extension of tensorflow with additional operators, optimizers,... used at ICG.

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

On learning optimized reaction diffusion processes for effective image restoration

Deep, Deep Learning with BART


The MaNGA Data Analysis Pipeline

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Overview

The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Emission-line Modeling

Evidence for the Accretion of Gas in Star-forming Galaxies: High N/O Abundances in Regions of Anomalously Low Metallicity


VMZ: Model Zoo for Video Modeling

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Video Classification with Channel-Separated Convolutional Networks

What Makes Training Multi-Modal Classification Networks Hard?

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

MDMMT: Multidomain Multimodal Transformer for Video Retrieval

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

FASTER Recurrent Networks for Efficient Video Classification

Are 3D convolutional networks inherently biased towards appearance?

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID


An implementation of the 3SPN2 and 3SPN2.C coarse-grained DNA forcefields in OpenMM

An experimentally-informed coarse-grained 3-site-per-nucleotide model of DNA: Structure, thermodynamics, and dynamics of hybridization

Coarse-grained modeling of DNA curvature

OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations

A structural dynamics model for how CPEB3 binding to SUMO2 can regulate translational control in dendritic spines


Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

Computing controlled invariant sets for hybrid systems with applications to model-predictive control

Certifying Unstability of Switched Systems Using Sum of Squares Programming

An Entropy-Based Bound for the Computational Complexity of a Switched System

Piecewise Semi-Ellipsoidal Control Invariant Sets


Tools to handle IMC data

Spatial predictors of immunotherapy response in triple-negative breast cancer

CD16+CD163+ monocytes traffic to sites of inflammation during necrotizing enterocolitis in premature infants

MATISSE: a method for improved single cell segmentation in imaging mass cytometry

Imaging Mass Cytometric Analysis of Postmortem Tissues Reveals Dysregulated Immune Cell and Cytokine Responses in Multiple Organs of COVID-19 Patients

Characterization of the Tumor Immune Microenvironment in Lung Squamous Cell Carcinoma Using Imaging Mass Cytometry

Single-cell spatial analysis of tumor immune architecture in diffuse large B cell lymphoma

Imaging mass cytometry for high-dimensional tissue profiling in the eye

Zenodo (CERN European Organization for Nuclear Research)

Characterisation of tumour immune microenvironment remodelling following oncogene inhibition in preclinical studies using an optimised imaging mass cytometry workflow

Rarity: discovering rare cell populations from single-cell imaging data

YOUPI: Your powerful and intelligent tool for segmenting cells from imaging mass cytometry data


Multidimensional atmospheric retrieval of exoplanet spectra.

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

Atmospheric Reconnaissance of TRAPPIST-1 b with JWST/NIRISS: Evidence for Strong Stellar Contamination in the Transmission Spectra

JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b

Data availability and requirements relevant for the Ariel space mission
  and other exoplanet atmosphere applications

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

Frontiers in Astronomy and Space Sciences


Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale

Inferring Species Diversity and Variability over Climatic Gradient with Spectral Diversity Metrics

Syncing Phenology Phase and Canopy Spectral Reflectance of Common Tree Species of Four Forest Covers in India


Nonlinear perturbation theory extension of the Boltzmann code CLASS

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

ShapeFit: extracting the power spectrum shape information in galaxy surveys beyond BAO and RSD

Precision analysis of the redshift-space galaxy bispectrum

Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures

Cosmological constraints from the power spectrum of eBOSS emission line galaxies

Cosmology with the redshift-space galaxy bispectrum monopole at one-loop order

Ultra-light axions and the S_8 tension: joint constraints from the cosmic microwave background and galaxy clustering

Consistency of effective field theory analyses of the BOSS power spectrum

Assessing the robustness of sound horizon-free determinations of the Hubble constant


Automated brain PET analysis pipeline

Magia: Robust Automated Image Processing and Kinetic Modeling Toolbox for PET Neuroinformatics

Seasonal Variation in the Brain μ-Opioid Receptor Availability

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

Cerebral μ-opioid and CB1-receptor systems have distinct roles in human feeding behavior

Alterations in type 2 dopamine receptors across neuropsychiatric conditions: A large-scale PET cohort


OLD MATLAB version of CLIMADA phased out --> PLEASE USE https://github.com/CLIMADA-project/climada_python

Comparing the cost effectiveness of nature-based and coastal adaptation: A case study from the Gulf Coast of the United States

A global historical data set of tropical cyclone exposure (TCE-DAT)

COASTAL RISKS, NATURE-BASED DEFENSES AND THE ECONOMICS OF ADAPTATION: AN APPLICATION IN THE GULF OF MEXICO, USA

CLIMADA - the open-source and -access global probabilistic risk modelling platform


This package simulates the behaviors of an ensemble of phytoplankton individuals.

PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model


Python implementation of the METRIC model


Python implementations of approval-based committee (multi-winner) voting rules

Properties of multiwinner voting rules

The (Computational) Social Choice Take on Indivisible Participatory Budgeting

Utilitarian welfare and representation guarantees of approval-based multiwinner rules

An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

How to Sample Approval Elections?

Welfare vs. Representation in Participatory Budgeting

Deliberation and Voting in Approval-Based Multi-Winner Elections


EVM disassembler

STAN: Towards Describing Bytecodes of Smart Contract

A Bytecode-based Approach for Smart Contract Classification

CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum


A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

Spatial and Temporal Variability of the North Atlantic Eddy Field From Two Kilometric-Resolution Ocean Models

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies

Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets


StyloMetrix

DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation

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

StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors

When a Language Question Is at Stake. A Revisited Approach to Label Sensitive Content

The Grammar and Syntax Based Corpus Analysis Tool For The Ukrainian Language

Misinformation is not about Bad Facts: An Analysis of the Production and
  Consumption of Fringe Content


Train, evaluate, and use different unsupervised topic modelling algorithms using a RESTful API.

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

Measuring the diffusion of innovations with paragraph vector topic models

Apples to Apples: A Systematic Evaluation of Topic Models

Recent Advances in Natural Language Processing

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

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

A Survey on Neural Topic Models: Methods, Applications, and Challenges


HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

LLaMA: Open and Efficient Foundation Language Models

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

HuatuoGPT, towards Taming Language Model to Be a Doctor

MedChatZH: a Better Medical Adviser Learns from Better Instructions

The current status of large language models in summarizing radiology
  report impressions


HyPhy standalone analyses

An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic

A structural basis for antibody-mediated neutralization of Nipah virus reveals a site of vulnerability at the fusion glycoprotein apex

The effect of hybridization on transposable element accumulation in an undomesticated fungal species

Pervasive and non-random recombination in near full-length HIV genomes from Uganda

Genome Evolution in Bacteria Isolated from Million-Year-Old Subseafloor Sediment

The evolution of BDNF is defined by strict purifying selection and prodomain spatial coevolution, but what does it mean for human brain disease?

Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes

Genomic Signatures Associated with Transitions to Viviparity in Cyprinodontiformes

Phylogenomics of the psychoactive mushroom genus Psilocybe and evolution of the psilocybin biosynthetic gene cluster

The Evolution of Widespread Recombination Suppression on the Dwarf Hamster (Phodopus) X Chromosome


Tool suite for analysing molecular dynamics trajectories using network analysis and PRS

MD-TASK: a software suite for analyzing molecular dynamics trajectories

MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics

Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 Mpro and its evolutionary mutations as a case study

Computational and structural biotechnology journal

Allosteric pockets and dynamic residue network hubs of falcipain 2 in mutations including those linked to artemisinin resistance

Evolutionary progression of collective mutations in Omicron sub-lineages towards efficient RBD-hACE2: Allosteric communications between and within viral and human proteins

SHP-1 tyrosine phosphatase binding to c-Src kinase phosphor-dependent conformations: A comparative structural framework


openMINDS comprises a set of metadata models for research products in the field of neuroscience.

Brain simulation as a cloud service: The Virtual Brain on EBRAINS

International data governance for neuroscience

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

Brain Modelling as a Service: The Virtual Brain on EBRAINS

AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures

AtOM, an ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures


Annotation helper tool for the manual curation of transposable element consensus sequences

Duplication and Specialization of NUDX1 in Rosaceae Led to Geraniol Production in Rose Petals

Ancient diversity in host-parasite interaction genes in a model parasitic nematode

Transposable Element Interactions Shape the Ecology of the Deer Mouse Genome

A pangenome-guided manually curated library of transposable elements for Zymoseptoria tritici


Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Deep Learning on Graphs: A Survey

Better Set Representations For Relational Reasoning


Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information


Naszilla is a Python library for neural architecture search (NAS)

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

A Study on Encodings for Neural Architecture Search

Exploring the Loss Landscape in Neural Architecture Search

Surrogate-assisted evolutionary neural architecture search with network embedding

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search


Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face   Transformers.

Deduplicating Training Data Mitigates Privacy Risks in Language Models

The MultiBERTs: BERT Reproductions for Robustness Analysis

Privacy Issues in Large Language Models: A Survey

Successor Heads: Recurring, Interpretable Attention Heads In The Wild

Why Do We Need Weight Decay in Modern Deep Learning?


higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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

Generalized Inner Loop Meta-Learning

Zero-Shot Cross-Lingual Transfer with Meta Learning

Meta-Learning via Learned Loss

Meta-Learning Symmetries by Reparameterization

Taming GANs with Lookahead-Minmax

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

Learning State-Dependent Losses for Inverse Dynamics Learning

Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets


Reference-based consensus creation

COVID‐19 severity from Omicron and Delta SARS‐CoV‐2 variants

One Health Investigation of SARS-CoV-2 Infection and Seropositivity among Pets in Households with Confirmed Human COVID-19 Cases—Utah and Wisconsin, 2020

One Health Investigation of SARS-CoV-2 in People and Animals on Multiple Mink Farms in Utah

COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study

CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants


A Python toolkit for running and coupling Earth surface models


Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

ShapeWorld - A new test methodology for multimodal language understanding

Multimodality in Meta-Learning: A Comprehensive Survey

Deep learning evaluation using deep linguistic processing

SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming

Scalable Neural-Probabilistic Answer Set Programming


Rule-based facts extraction for Russian language

Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system


[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

3D-LLM: Injecting the 3D World into Large Language Models

PointLLM: Empowering Large Language Models to Understand Point Clouds

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following


Pairwise multilevel comparison using adonis

ranacapa: An R package and Shiny web app to explore environmental DNA data with exploratory statistics and interactive visualizations

Fecal Microbiota Transplantation Controls Murine Chronic Intestinal Inflammation by Modulating Immune Cell Functions and Gut Microbiota Composition

Effect of Washing, Waxing and Low-Temperature Storage on the Postharvest Microbiome of Apple

Metagenomic evidence for co-occurrence of antibiotic, biocide and metal resistance genes in pigs

Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan

International journal of environmental research and public health

Microbial composition in seasonal time series of free tropospheric air and precipitation reveals community separation

Diet and gut microbiome enterotype are associated at the population level in African buffalo

More Than “Push” and “Pull”? Plant-Soil Feedbacks of Maize Companion Cropping Increase Chemical Plant Defenses Against Herbivores

The multifactorial nature of beak and skull shape evolution in parrots and cockatoos (Psittaciformes)

Fine-scale habitat differentiation shapes the composition, structure and aboveground biomass but not species richness of a tropical Atlantic forest


Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International Journal of Computer Vision

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Idempotence and Perceptual Image Compression


Microsatellite Analysis for Normal-Tumor InStability

Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer

Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival?

Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors


Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research


Toolbox for comparative genomics of MAGs

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

Novel syntrophic bacteria in full-scale anaerobic digesters revealed by genome-centric metatranscriptomics

“Candidatus Dechloromonas phosphoritropha” and “Ca. D. phosphorivorans”, novel polyphosphate accumulating organisms abundant in wastewater treatment systems

High Diversity and Functional Potential of Undescribed “Acidobacteriota” in Danish Wastewater Treatment Plants

Divergent methyl-coenzyme M reductase genes in a deep-subseafloor Archaeoglobi

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Insights into plastic biodegradation: community composition and functional capabilities of the superworm (Zophobas morio) microbiome in styrofoam feeding trials

Re-evaluation of the phylogenetic diversity and global distribution of the genusCandidatusAccumulibacter

Recoding of stop codons expands the metabolic potential of two novel Asgardarchaeota lineages

High-resolution spatial and genomic characterization of coral-associated microbial aggregates in the coral Stylophora pistillata


scikit-learn cross validators for iterative stratification of multilabel data

Clotho: An Audio Captioning Dataset

Thou shalt not hate: Countering Online Hate Speech

Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering

Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays


Python package for automated analysis and management of gridded climate data


Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

Label-Free Segmentation of COVID-19 Lesions in Lung CT

COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net

Video Polyp Segmentation: A Deep Learning Perspective

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

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment


X Inertial-aided Visual Odometry

Unsupervised Depth Completion from Visual Inertial Odometry

Geo-Supervised Visual Depth Prediction

Monocular Visual-Inertial Depth Estimation

Learned Monocular Depth Priors in Visual-Inertial Initialization

Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance

Learned Uncertainty Calibration for Visual Inertial Localization


Zero and Few shot named entity & relationships recognition

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction

Description Boosting for Zero-Shot Entity and Relation Classification


MASS: Masked Sequence to Sequence Pre-training for Language Generation

MPNet: Masked and Permuted Pre-training for Language Understanding

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

Self-Attention Guided Copy Mechanism for Abstractive Summarization

Evaluating the Evaluation of Diversity in Natural Language Generation

Code-switching pre-training for neural machine translation

GLGE: A New General Language Generation Evaluation Benchmark

Friendly Topic Assistant for Transformer Based Abstractive Summarization

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

Improving Readability for Automatic Speech Recognition Transcription

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


A curated list of algorithms and papers for auditing black-box algorithms.

Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages

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

Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization

PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020

Identifying the Machine Learning Family from Black-Box Models


Full list of bad words and top swear words banned by Google.

Machine Learning Suites for Online Toxicity Detection

MemeCap: A Dataset for Captioning and Interpreting Memes

AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning

International Workshop on Semantic Evaluation

How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment

LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models


Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

ADBench: Anomaly Detection Benchmark

Deep Anomaly Detection under Labeling Budget Constraints

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Zero-Shot Anomaly Detection via Batch Normalization

OptIForest: Optimal Isolation Forest for Anomaly Detection

Unsupervised Anomaly Detection with Rejection

Anomaly Detection with Variance Stabilized Density Estimation

Calculating the matrix profile from noisy data


Pytorch implementation of LSTM/BERT-CRF for named entity recognition

Is ChatGPT a game changer for geocoding - a benchmark for geocoding address parsing techniques

Implicit n-grams Induced by Recurrence


Duke is a fast and flexible deduplication engine written in Java

PyPSA-Eur: An open optimisation model of the European transmission system

End-to-End Entity Resolution for Big Data: A Survey

Performing energy modelling exercises in a transparent way the issue of data quality in power plant databases

A survey of OpenRefine reconciliation services

Duplication Detection in Knowledge Graphs: Literature and Tools

Duplicate Detection as a Service

A Research Agenda for IOT Adaptive Architectures


Effsize - a package for efficient effect size computation

DDX3X and DDX3Y are redundant in protein synthesis

Student, instructor, and observer agreement regarding frequencies of scientific teaching practices using the Measurement Instrument for Scientific Teaching-Observable (MISTO)

The Impact of Acute Ingestion of a Ketone Monoester Drink on LPS-Stimulated NLRP3 Activation in Humans with Obesity

Trichuris muris whey acidic protein induces type 2 protective immunity against whipworm

Students' Assessment of Teaching Practices for Creativity in Graduate Programs

Development and Validation of a Novel Robot-Based Assessment of Upper Limb Sensory Processing in Chronic Stroke

Mental health among unaccompanied refugee minors after settling in Norway: A matched cross-sectional study

Problem solving in fawn-footed mosaic-tailed rats Melomys cervinipes is not significantly influenced by maternal care or genetic effects.

Journal of experimental zoology. Part A, Ecological and integrative physiology


"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning

International Conference on Robotics and Automation

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions


Utilities for DEM and point cloud co-registration

DISTRIBUTION AND EVOLUTION OF ICE APRONS IN A CHANGING CLIMATE IN THE MONT-BLANC MASSIF (WESTERN EUROPEAN ALPS)

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

The West Kunlun Glacier Anomaly and Its Response to Climate Forcing during 2002-2020

Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain

Zenodo (CERN European Organization for Nuclear Research)


Get assembly statistics from FASTA and FASTQ files

Genetic determinants of endophytism in the Arabidopsis root mycobiome

Insights into the genomic evolution of insects from cricket genomes

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Sharing of carbapenemase-encoding plasmids between Enterobacteriaceae in UK sewage uncovered by MinION sequencing

Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Divergent sensory and immune gene evolution in sea turtles with contrasting demographic and life histories

De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium-Resistant Genes in East Asian Genotypes

Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae


LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

YOLOv3: An Incremental Improvement

Image-to-Image Translation with Conditional Adversarial Networks

DenseFuse: A Fusion Approach to Infrared and Visible Images

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

Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey


This is a collection of our zero-cost NAS and efficient vision applications.

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

DAMO-YOLO : A Report on Real-Time Object Detection Design

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

IEEE International Conference on Computer Vision

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Entropy-Driven Mixed-Precision Quantization for Deep Network Design

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Human Activities Detection using DeepLearning Technique- YOLOv8


PyGCL: A PyTorch Library for Graph Contrastive Learning

An Empirical Study of Graph Contrastive Learning

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Line Graph Contrastive Learning for Link Prediction

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


A PyTorch-powered differentiable image reconstruction/optimization toolbox

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems

IEEE transactions on computational imaging

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


A CVXPY extension for convex-concave programming

Learning Fair Rule Lists

Optimization Method for Wide Beam Sonar Transmit Beamforming

Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies

A Note on the Hausdorff Distance Between Norm Balls and Their Linear Maps


Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

Balancing-oriented hydropower operation makes the clean energy transition more affordable and simultaneously boosts water security


Graph Network Simulator

Learning to Simulate Complex Physics with Graph Networks

Learning Mesh-Based Simulation with Graph Networks

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Graph Neural Network-based surrogate model for granular flows

Inverse analysis of granular flows using differentiable graph neural network simulator


Automatically exported from code.google.com/p/figtree

raxmlGUI 2.0: A graphical interface and toolkit for phylogenetic analyses using RAxML

Temporal Detection and Phylogenetic Assessment of SARS-CoV-2 in Municipal Wastewater

medRxiv : the preprint server for health sciences

A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana

V367F Mutation in SARS-CoV-2 Spike RBD Emerging during the Early Transmission Phase Enhances Viral Infectivity through Increased Human ACE2 Receptor Binding Affinity

Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

CoronaHiT: large scale multiplexing of SARS-CoV-2 genomes using Nanopore sequencing

Triangulation supports agricultural spread of the Transeurasian languages

Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation during a Pandemic

The dual methyltransferase METTL13 targets N terminus and Lys55 of eEF1A and modulates codon-specific translation rates


Official code base of the BEVDet series .

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

BEVPoolv2: A Cutting-edge Implementation of BEVDet Toward Deployment

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection

Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy
  with Panoptic via Instance Center


A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification

Pushing the limits of self-supervised speaker verification using regularized distillation framework

3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement

Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation

Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision

3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization

ERes2NetV2: Boosting Short-Duration Speaker Verification Performance
  with Computational Efficiency


add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Methylation of Salmonella Typhimurium flagella promotes bacterial adhesion and host cell invasion

Measurement of Cellular Immune Response to Viral Infection and Vaccination

Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection

Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development

Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework

Combined computational modeling and experimental analysis integrating chemical and mechanical signals suggests possible mechanism of shoot meristem maintenance

Silent gene clusters encode magnetic organelle biosynthesis in a non-magnetotactic phototrophic bacterium

Papillary Thyroid Carcinoma Tissue miR-146b, -21, -221, -222, -181b Expression in Relation with Clinicopathological Features

A hybridization target enrichment approach for pathogen genomics


Pytorch implementation of the CREPE pitch tracker

Cross-domain Neural Pitch and Periodicity Estimation

Learning and controlling the source-filter representation of speech with a variational autoencoder

DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training

HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models

Articulatory Encodec: Coding Speech through Vocal Tract Kinematics

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input


Publication-ready volcano plots with enhanced colouring and labeling

Aging-associated deficit in CCR7 is linked to worsened glymphatic function, cognition, neuroinflammation, and β-amyloid pathology

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair

A Genome-wide CRISPR Screen Reveals a Role for the Non-canonical Nucleosome-Remodeling BAF Complex in Foxp3 Expression and Regulatory T Cell Function

Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein

bioRxiv : the preprint server for biology

DAMPs/PAMPs induce monocytic TLR activation and tolerance in COVID-19 patients; nucleic acid binding scavengers can counteract such TLR agonists

Glioma synapses recruit mechanisms of adaptive plasticity

STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer

Diagnostic blood RNA profiles for human acute spinal cord injury

Fluconazole resistance in Candida albicans is induced by Pseudomonas aeruginosa quorum sensing

Vesicular trafficking permits evasion of cGAS/STING surveillance during initial human papillomavirus infection


Full-stack quantum processing toolkit

staq—A full-stack quantum processing toolkit

A MLIR Dialect for Quantum Assembly Languages

Secure quantum computing for healthcare sector: A short analysis


A semantic segmentation toolbox based on PyTorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

Bag of Tricks for Image Classification with Convolutional Neural Networks


This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

Attention-Based Models for Speech Recognition

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Listen, Attend and Spell

Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding


EPFL logic synthesis benchmarks

CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit

Extending Boolean Methods for Scalable Logic Synthesis

Circuit Minimization with QBF-Based Exact Synthesis

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4


[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Token Merging for Fast Stable Diffusion

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

A Pilot Study for Chinese SQL Semantic Parsing

Location reference recognition from texts: A survey and comparison

The First Evaluation of Chinese Human-Computer Dialogue Technology

TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Data Set and Evaluation of Automated Construction of Financial Knowledge Graph

Improving exchange rate forecasting via a new deep multimodal fusion model

Applied intelligence (Dordrecht, Netherlands)

Chinese Named Entity Recognition Based on BERT and Lightweight Feature Extraction Model


Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.

Introducing the Robot Vulnerability Database (RVD)

DevSecOps in Robotics

Volatile memory forensics for the Robot Operating System

alurity, a toolbox for robot cybersecurity

Robot Hacking Manual (RHM)

Cited But Not Archived: Analyzing the Status of Code References in Scholarly Articles


UT-Sarulab MOS prediction system using SSL models

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection

How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics

Diversity-Based Core-Set Selection for Text-to-Speech with Linguistic and Acoustic Features


A quality control analysis tool for high throughput sequencing data

Maternal gut and breast milk microbiota affect infant gut antibiotic resistome and mobile genetic elements

METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation

The structure, function, and evolution of a complete human chromosome 8

Best practices for bioinformatic characterization of neoantigens for clinical utility

ASA3P: An automatic and scalable pipeline for the assembly, annotation and higher-level analysis of closely related bacterial isolates

Impact of investigational microbiota therapeutic RBX2660 on the gut microbiome and resistome revealed by a placebo-controlled clinical trial

A transcriptomic atlas of Aedes aegypti reveals detailed functional organization of major body parts and gut regional specializations in sugar-fed and blood-fed adult females

A growth factor–expressing macrophage subpopulation orchestrates regenerative inflammation via GDF-15

A comparative analysis of drinking water employing metagenomics

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers


Privacy Testing for Deep Learning

Knockoff Nets: Stealing Functionality of Black-Box Models

Membership Inference Attacks on Machine Learning: A Survey

Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

A Survey of Privacy Attacks in Machine Learning

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

Privatsphärefreundliches maschinelles Lernen

AIJack: Security and Privacy Risk Simulator for Machine Learning


A repository for explaining feature attributions and feature interactions in deep neural networks.

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

Axiomatic Attribution for Deep Networks

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks


Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Averaging Weights Leads to Wider Optima and Better Generalization

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Neural networks with late-phase weights

A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS

Do Bayesian Variational Autoencoders Know What They Don't Know?


Python toolbox for sampling Determinantal Point Processes

Determinantal Point Processes for Machine Learning

Foundations and Trends® in Machine Learning

Rates of Convergence for Sparse Variational Gaussian Process Regression

DGCN: Diversified Recommendation with Graph Convolutional Networks

Monte Carlo with determinantal point processes

Exact sampling of determinantal point processes with sublinear time preprocessing

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

On two ways to use determinantal point processes for Monte Carlo integration

Sampling from a k-DPP without looking at all items

Zonotope hit-and-run for efficient sampling from projection DPPs


Python library for Room Impulse Response (RIR) simulation with GPU acceleration

gpuRIR: A python library for room impulse response simulation with GPU acceleration

FRA-RIR: Fast Random Approximation of the Image-source Method

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training

Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays

Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer

Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture


A small library to modify all page-table levels of all processes from user space for x86_64 and ARMv8.

JackHammer: Efficient Rowhammer on Heterogeneous FPGA-CPU Platforms

Understanding TEE Containers, Easy to Use? Hard to Trust

ACAI: Protecting Accelerator Execution with Arm Confidential Computing Architecture

Domain Page-Table Isolation

Layered Binary Templating: Efficient Detection of Compiler- and Linker-introduced Leakage


A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Optimizing for the Future in Non-Stationary MDPs

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes

Chinese diabetes datasets for data-driven machine learning

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control

Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference

Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds

Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control

A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning


BERT with SentencePiece for Japanese text.

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

Pre-training Polish Transformer-based Language Models at Scale

Automated Essay Scoring System for Nonnative Japanese Learners

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

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents


Model explainability that works seamlessly with  transformers. Explain your transformers model in just 2 lines of code.

Axiomatic Attribution for Deep Networks

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

Differentiate ChatGPT-generated and Human-written Medical Texts

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning

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

SecureFalcon: The Next Cyber Reasoning System for Cyber Security

Robust Conversational Agents against Imperceptible Toxicity Triggers

A Practical Guide on Explainable Ai Techniques Applied on Biomedical Use Case Applications


tsl: a PyTorch library for processing spatiotemporal data.

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

Graph-based Forecasting with Missing Data through Spatiotemporal
  Downsampling

Kernel Based Reconstruction for Generalized Graph Signal Processing


A fast approximate aligner for long DNA sequences

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

A Fast Adaptive Algorithm for Computing Whole-Genome Homology Maps

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

A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era


This project includes a simulator and workload generator for Edge-to-Cloud environments. Users can implement different scenarios, including those with heterogeneous Edge and Cloud resources and configure energy constraints on them.

E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems


Exoplanet detection in RVs with DNest4 and GPs

Decoding the radial velocity variations of HD 41248 with ESPRESSO

Improving circumbinary planet detections by fitting their binary's apsidal precession

The SOPHIE search for northern extrasolar planets XVIII. Six new cold Jupiters, including one of the most eccentric exoplanet orbits

Scheduling strategies for the ESPRESSO follow-up of TESS targets

Monthly Notices of the Royal Astronomical Society

Scheduling ESPRESSO follow-up of TESS Targets. I. Myopic versus non-myopic sampling

Confronting compositional confusion through the characterisation of the sub-Neptune orbiting HD 77946