EvoMaster Benchmark (EMB): a set of web/enterprise applications for experimentation in automated system testing

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

Resource and dependency based test case generation for RESTful Web services

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Improving Test Case Generation for REST APIs Through Hierarchical Clustering

Testing RESTful APIs: A Survey

Fuzzing Microservices In Industry: Experience of Applying EvoMaster at
  Meituan

White-Box Fuzzing RPC-Based APIs with EvoMaster: An Industrial Case Study

White-Box and Black-Box Fuzzing for GraphQL APIs


A curated list of software and resources for exploring and visualizing (browsing) expression data

Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changes

Mapping the Mouse Cell Atlas by Microwell-Seq

A human liver cell atlas reveals heterogeneity and epithelial progenitors

Human haematopoietic stem cell lineage commitment is a continuous process

The bone marrow microenvironment at single-cell resolution

A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells

Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Decoding human fetal liver haematopoiesis

Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex


Deep learning framework for MRI reconstruction

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

DIRECT: Deep Image REConstruction Toolkit

Deep MRI Reconstruction with Radial Subsampling

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI
  Reconstruction


Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for
  Scientific Data

Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

On Scale-out Deep Learning Training for Cloud and HPC

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

Democratizing Production-Scale Distributed Deep Learning

Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms.

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks


Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia

Spatially and temporally resolved measurements of NO x ﬂuxes by airborne eddy covariance over Greater London

Ozone deposition to a coastal sea: comparison of eddy covariance observations with reactive air–sea exchange models

Eddy Covariance Measurements Highlight Sources of Nitrogen Oxide Emissions Missing from Inventories for Central London

Pandemic restrictions in 2020 highlight the significance of non-road NOx sources in central London


Repository for the TRANSIT and TPP tools developed by the Ioerger Lab

TRANSIT - A Software Tool for Himar1 TnSeq Analysis

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes

Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression


A curated list of awesome Human-AI Interaction

What is AI Literacy? Competencies and Design Considerations

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Multimodal Deep Learning for Activity and Context Recognition

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations


:book::books:An introductory tutorial for BioJava

BioJava 5: A community driven open-source bioinformatics library

Principles and characteristics of biological assemblies in experimentally determined protein structures

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank


Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Data-free Backdoor Removal based on Channel Lipschitzness

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware
  Minimization

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

Towards Stable Backdoor Purification through Feature Shift Tuning

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering


A scikit-learn compatible library for graph kernels

GraKeL: A Graph Kernel Library in Python

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification

Distance metric learning for graph structured data

State of the Art and Potentialities of Graph-level Learning

Fast Topological Clustering with Wasserstein Distance


Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

The extent and drivers of gender imbalance in neuroscience reference lists

Predicting Race and Ethnicity From the Sequence of Characters in a Name

VR-based training of craniotomy for intracranial aneurysm surgery

International journal of computer assisted radiology and surgery

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

The Citation Diversity Statement: A Practice of Transparency, A Way of Life

Gendered Citation Practices in the Field of Communication

Annals of the International Communication Association

Broken detailed balance and entropy production in the human brain

(In)citing Action to Realize an Equitable Future

Models of communication and control for brain networks: distinctions, convergence, and future outlook

Gender bias in (neuro)science: Facts, consequences, and solutions


OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids


Clarity Challenge toolkit - software for building Clarity Challenge systems

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners

The First Cadenza Signal Processing Challenge: Improving Music for Those
  With a Hearing Loss


How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting

The Three Hundred project: The gizmo-simba run

Monthly notices of the Royal Astronomical Society

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

The origin of the dust extinction curve in milky way-like galaxies

Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes

The BPT Diagram in Cosmological Galaxy Formation Simulations: Understanding the Physics Driving Offsets at High Redshift

Boundless baryons: how diffuse gas contributes to anisotropic tSZ signal around simulated Three Hundred clusters

High dust content of a quiescent galaxy at z~2 revealed by deep ALMA
  observation

Galaxy pairs inThe Three Hundredsimulations II: studying bound ones and identifying them via machine learning


gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.

gmx_MMPBSA: A New Tool to Perform End-State Free Energy Calculations with GROMACS.

Journal of chemical theory and computation

The Motion Paradigm of Pre-Dock Zearalenone Hydrolase Predictions with Molecular Dynamics and the Docking Phase with Umbrella Sampling


Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.

Hippocampal GABA enables inhibitory control over unwanted thoughts

Reorganization of brain networks and its association with general cognitive performance over the adult lifespan

Brain lesions disrupting addiction map to a common human brain circuit

Multiple brain networks mediating stimulus-pain relationships in humans

Human Extinction Learning Is Accelerated by an Angiotensin Antagonist via Ventromedial Prefrontal Cortex and Its Connections With Basolateral Amygdala

The Immediate and Sustained Positive Effects of Meditation on Resilience Are Mediated by Changes in the Resting Brain

Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study

What Is the Link Between Attention-Deficit/Hyperactivity Disorder and Sleep Disturbance? A Multimodal Examination of Longitudinal Relationships and Brain Structure Using Large-Scale Population-Based Cohorts

Distinct fMRI patterns colocalized in the cingulate cortex underlie the after-effects of cognitive control on pain

Severe nausea and vomiting in pregnancy: psychiatric and cognitive problems and brain structure in children


BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology

Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Whole‐brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine

Atypical connectome topography and signal flow in temporal lobe epilepsy

bioRxiv : the preprint server for biology

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Microstructural underpinnings and macroscale functional implications of temporal lobe connectivity gradients

Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes


Pipeline for reducing JWST high-contrast imaging data. Published in Kammerer et al. 2022 and Carter et al. 2022.

The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems I: High-contrast Imaging of the Exoplanet HIP 65426 b from 2 to 16 μm

Performance of near-infrared high-contrast imaging methods with JWST from commissioning

JWST-TST High Contrast: Achieving direct spectroscopy of faint
  substellar companions next to bright stars with the NIRSpec IFU


A repository in development for a solar powered network of servers that host a distributed web platform. Project by Tega Brain, Alex Nathanson and Benedetta Piantella. Supported by Eyebeam, Mozilla, and CS&S


Command-line utility for limiting an adapter's bandwidth

Cloud-gaming: Analysis of Google Stadia traffic

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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

Petals: Collaborative Inference and Fine-tuning of Large Models

Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments

Generative Adversarial Super-Resolution at the edge with knowledge distillation

Faster Secure Comparisons with Offline Phase for Efficient Private Set
  Intersection

Content Dependent Representation Selection Model for Systems Based on MPEG DASH

Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud

The Effects of Computational Resources on Flaky Tests


PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!

Towards an evolvable cancer treatment simulator

PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks

Lessons Learned from a Performance Analysis and Optimization of a Multiscale Cellular Simulation

Proceedings of the Platform for Advanced Scientific Computing Conference


Precision HLA typing from next-generation sequencing data

Genomic Features of Response to Combination Immunotherapy in Patients with Advanced Non-Small-Cell Lung Cancer

OptiType: precision HLA typing from next-generation sequencing data

Longitudinal molecular trajectories of diffuse glioma in adults

An omic and multidimensional spatial atlas from serial biopsies of an evolving metastatic breast cancer

Genomic analyses of hair from Ludwig van Beethoven

Extensive pedigrees reveal the social organization of a Neolithic community

Investigations of sequencing data and sample type on HLA class Ia typing with different computational tools

Computational cancer neoantigen prediction: current status and recent advances

HLA alleles measured from COVID-19 patient transcriptomes reveal associations with disease prognosis in a New York cohort

Detecting pathogenic variants in autoimmune diseases using high‐throughput sequencing


VIMA: General Robot Manipulation with Multimodal Prompts

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

NViSII: A Scriptable Tool for Photorealistic Image Generation

Appearance-Driven Automatic 3D Model Simplification

Optical Flow Estimation for Spiking Camera


EVA Series: Visual Representation Fantasies from BAAI

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

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

EVA-CLIP: Improved Training Techniques for CLIP at Scale

EVA-02: A Visual Representation for Neon Genesis

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

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


ImageBind One Embedding Space to Bind Them All

ImageBind: One Embedding Space To Bind Them All

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining

Intriguing Equivalence Structures of the Embedding Space of Vision Transformers


just annotate it, dammit!

Tximeta: Reference sequence checksums for provenance identification in RNA-seq

Widespread patterns of sexually dimorphic gene expression in an avian hypothalamic–pituitary–gonadal (HPG) axis

Severe acute dehydration in a desert rodent elicits a transcriptional response that effectively prevents kidney injury

Streamlining data-intensive biology with workflow systems

Characterizing the reproductive transcriptomic correlates of acute dehydration in males in the desert-adapted rodent, Peromyscus eremicus

Transcriptome assembly for a colour-polymorphic grasshopper (Gomphocerus sibiricus) with a very large genome size

The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia

Comparative Genomics of Color Morphs In the Coral Montastraea cavernosa

RNA-Seq analysis of soft rush (Juncus effusus): transcriptome sequencing, de novo assembly, annotation, and polymorphism identification

Characterizing the Adult and Larval Transcriptome of the Multicolored Asian Lady Beetle, Harmonia axyridis


A Python package for exploring and analysing genetic variation data

Genomic Analysis of Plasmodium vivax in Southern Ethiopia Reveals Selective Pressures in Multiple Parasite Mechanisms

The journal of infectious diseases (Online. University of Chicago Press)/The Journal of infectious diseases

Genome-wide divergence among invasive populations of Aedes aegypti in California

Resistance to pirimiphos-methyl in West African Anopheles is spreading via duplication and introgression of the Ace1 locus

Genomic consequences of domestication of the Siamese fighting fish

Radiation with reticulation marks the origin of a major malaria vector

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

Horizontal transmission enables flexible associations with locally adapted symbiont strains in deep-sea hydrothermal vent symbioses

An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples

A deep learning framework for characterization of genotype data

Heterogeneity of the rice microbial community of the Chinese centuries‐old Honghe Hani rice terraces system

Evidence of Local Extinction and Reintroduction of Aedes aegypti in Exeter, California


Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Vision Transformers for Dense Prediction

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

Projected GANs Converge Faster

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Multi-Task Self-Training for Learning General Representations

Geometry-Free View Synthesis: Transformers and no 3D Priors

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Instance-wise Occlusion and Depth Orders in Natural Scenes


Data science for wildfire risk forecasting and monitoring


A generic programming header only C++ library for processing polygonal and polyhedral meshes

HexaLab.net: An online viewer for hexahedral meshes

A Survey of Algorithms for Geodesic Paths and Distances

Hex-Mesh Generation and Processing: A Survey

Optimal Dual Schemes for Adaptive Grid Based Hexmeshing

Polyhedral Mesh Quality Indicator for the Virtual Element Method

Interactive and Robust Mesh Booleans

Scalable Mesh Refinement for Canonical Polygonal Schemas of Extremely High Genus Shapes

FETI-DP preconditioners for the Virtual Element Method on general 2D
  meshes

ParGeo: A Library for Parallel Computational Geometry

Mapping Surfaces with Earcut.


Python implementation of Bayesian Knowledge Tracing and extensions

Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing

User Modeling, Adaptation, and Personalization

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model

User Modeling, Adaption and Personalization

pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models

Modeling Knowledge Acquisition from Multiple Learning Resource Types

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based
  Tensor Factorization

Personalization in Human-AI Teams: Improving the Compatibility-Accuracy
  Tradeoff


Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos

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

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance

Quilt-1M: One Million Image-Text Pairs for Histopathology

MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Workshop on Innovative Use of NLP for Building Educational Applications

Fashion-IQ 2020 Challenge 2nd Place Team's Solution

Cross-lingual Transfer Learning for Grammatical Error Correction

International Conference on Computational Linguistics

GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis

International Joint Conference on Natural Language Processing

Voice@SRIB at SemEval-2020 Tasks 9 and 12: Stacked Ensemblingmethod for Sentiment and Offensiveness detection in Social Media

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus.


Korean GPT-2 pretrained cased (KoGPT2)

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and
  Commands


Tools for processing UMI RNA-tag data

fastp: an ultra-fast all-in-one FASTQ preprocessor

SCANPY: large-scale single-cell gene expression data analysis

Power analysis of single-cell RNA-sequencing experiments

A single-cell survey of Drosophila blood

Human sensorimotor organoids derived from healthy and amyotrophic lateral sclerosis stem cells form neuromuscular junctions

Hypoxic, glycolytic metabolism is a vulnerability of B-acute lymphoblastic leukemia-initiating cells


Lanugage of Thought (LOT) models in Python.

One model for the learning of language

Flexible Compositional Learning of Structured Visual Concepts

A Large Dataset of Generalization Patterns in the Number Game

Compositional diversity in visual concept learning


Permafrost models with a Basic Model Interface


Astronomical Interferometry in PYthon (AIPY)

Hydrogen Epoch of Reionization Array (HERA)

New Limits on 21cm EoR From PAPER-32 Consistent with an X-Ray Heated IGM at z=7.7

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

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

A Comparative Analysis to Deal with Missing Spectral Information Caused by RFI in Cosmological H i 21 cm Observations

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

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

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

Data processing pipeline for Tianlai experiment

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

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia


AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

End-to-end deep learning for directly estimating grape yield from ground-based imagery

Computers and electronics in agriculture

More eyes on the prize: open-source data, software and hardware for advancing plant science through collaboration

Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models


Powerful RDF Knowledge Graph Generation with RML Mappings

Morph-KGC: Scalable knowledge graph materialization with mapping partitions

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data
  Sources

Declarative generation of RDF-star graphs from heterogeneous data

Boosting Knowledge Graph Generation from Tabular Data with RML Views


Scaling Vision with Sparse Mixture of Experts

Plex: Towards Reliability using Pretrained Large Model Extensions

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

From Sparse to Soft Mixtures of Experts

Sparse MoEs meet Efficient Ensembles

On the Adversarial Robustness of Mixture of Experts


This is the official implementation of Multi-Agent PPO (MAPPO).

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Low-level laser therapy on bone repair: is there any effect outside the irradiated field?

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Compositional Neural Certificates for Networked Dynamical Systems

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

Scalable Multi-Agent Model-Based Reinforcement Learning

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning
  Library

Scalable Multi-Agent Reinforcement Learning through Intelligent
  Information Aggregation

Toward multi-target self-organizing pursuit in a partially observable Markov game

Decentralized Policy Optimization


cgat-flow repository

IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies

Histone H3K27me3 demethylases regulate human Th17 cell development and effector functions by impacting on metabolism

Interleukin-17A Causes Osteoarthritis-Like Transcriptional Changes in Human Osteoarthritis-Derived Chondrocytes and Synovial Fibroblasts In Vitro

IL-33 promotes anemia during chronic inflammation by inhibiting differentiation of erythroid progenitors

The Journal of experimental medicine/The journal of experimental medicine

Electrospun Scaffold Micro-Architecture Induces an Activated Transcriptional Phenotype within Tendon Fibroblasts

Frontiers in bioengineering and biotechnology


VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

Online Temporal Calibration for Monocular Visual-Inertial Systems

R ^2 LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and Mapping

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM

Visual-Inertial Odometry of Aerial Robots

VIR-SLAM: visual, inertial, and ranging SLAM for single and multi-robot systems

Optimization-Based Online Initialization and Calibration of Monocular Visual-Inertial Odometry Considering Spatial-Temporal Constraints

Research on Event Accumulator Settings for Event-Based SLAM


Neologism dictionary based on the language resources on the Web for mecab-ipadic

An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese

Towards Burmese (Myanmar) Morphological Analysis

ACM transactions on Asian and low-resource language information processing

Inference of Personal Attributes from Tweets Using Machine Learning

A Framework for Building Closed-Domain Chat Dialogue Systems

Construction of a Large-scale Japanese ASR Corpus on TV Recordings

Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports

Extractive Headline Generation Based on Learning to Rank for Community Question Answering

Detecting Bad Smells in Use Case Descriptions

IEEE International Requirements Engineering Conference

You are what you eat: A social media study of food identity

Predicting Stances from Social Media Posts using Factorization Machines


Specification and reference implementation of the TCN Protocol for decentralized, privacy-preserving contact tracing.

A Survey of COVID-19 Contact Tracing Apps

Decentralized Privacy-Preserving Proximity Tracing

Epione: Lightweight Contact Tracing with Strong Privacy

Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

DIMY: Enabling privacy-preserving contact tracing

COVI White Paper

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

A review of information security aspects of the emerging COVID-19
  contact tracing mobile phone applications

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment


Public version of PolyChord: See polychord.co.uk for PolyChordPro

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: inferences in the stochastic gravitational-wave background search

Monthly Notices of the Royal Astronomical Society

On the detection of a cosmic dawn signal in the radio background

Assessing tension metrics with dark energy survey and Planck data

Astrophysical constraints from the SARAS 3 non-detection of the cosmic dawn sky-averaged 21-cm signal

Cosmology beyond BAO from the 3D distribution of the Lyman-α forest

Monthly notices of the Royal Astronomical Society

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

Bayesian methods for fitting Baryon Acoustic Oscillations in the Lyman-α forest

Journal of Cosmology and Astroparticle Physics

Compromise-free Bayesian neural networks

Invariant polynomials and machine learning

The Alcock-Paczyński effect from Lyman-α forest correlations:
  Analysis validation with synthetic data


Nishang - Offensive PowerShell for red team, penetration testing and offensive security.

Hijacking .NET to Defend PowerShell

On Attacking Kerberos Authentication Protocol in Windows Active Directory Services: A Practical Survey

Evaluation of Local Security Event Management System vs. Standard Antivirus Software


python module to plot beautiful and highly customizable genome browser tracks

pyGenomeTracks: reproducible plots for multivariate genomic datasets

CONTEXT-INDEPENDENT FUNCTION OF A CHROMATIN BOUNDARY IN VIVO

ZCWPW1 loss-of-function variants in Alzheimer's Disease

Cell-type specific profiling of histone post-translational modifications in the adult mouse striatum

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing


This is a collection of our NAS and Vision Transformer work.

Rethinking and Improving Relative Position Encoding for Vision Transformer

AutoFormer: Searching Transformers for Visual Recognition

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Searching the Search Space of Vision Transformer

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance


PyTorch deep learning models for text processing

Regularizing and Optimizing LSTM Language Models

Integrating Question Classification and Deep Learning for improved Answer Selection

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams

CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities

North American Chapter of the Association for Computational Linguistics


Python and C library for source extraction and photometry

Strong dependence of Type Ia supernova standardization on the local specific star formation rate

The Lyman Continuum Escape Survey: Ionizing Radiation from [O III]-Strong Sources at a Redshift of 3.1

Fully automated integral field spectrograph pipeline for the SEDMachine: pysedm

Scientific Computing Meets Big Data Technology: An Astronomy Use Case

scarlet: Source separation in multi-band images by Constrained Matrix Factorization

An Extreme Starburst in the Core of a Rich Galaxy Cluster at z = 1.7

Using Surface Brightness Fluctuations to Study Nearby Satellite Galaxy Systems: Calibration and Methodology

Using Surface Brightness Fluctuations to Study nearby Satellite Galaxy Systems: The Complete Satellite System of M101

Testing the Presence of Multiple Photometric Components in Nearby Early-type Galaxies Using SDSS

Machine learning on difference image analysis: A comparison of methods for transient detection


A general purpose, write-back block cache for Linux.

Error Characterization, Mitigation, and Recovery in Flash-Memory-Based Solid-State Drives

Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery

Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

ECI-Cache

Proceedings of the ACM on measurement and analysis of computing systems

Flashield: a Key-value Cache that Minimizes Writes to Flash


SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

Multimodal deep networks for text and image-based document
  classification

NeuSpell: A Neural Spelling Correction Toolkit

Location Name Extraction from Targeted Text Streams using
  Gazetteer-based Statistical Language Models

Characterizing the dynamics of learning in repeated reference games

A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams

Graph-based Event Extraction from Twitter

Recent Advances in Natural Language Processing

Predicting the Politics of an Image Using Webly Supervised Data

A context sensitive real-time Spell Checker with language adaptability

NLP Tools for Predictive Maintenance Records in MaintNet

MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources


A Platform for Many-Agent Reinforcement Learning

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Learning Structured Communication for Multi-agent Reinforcement Learning

Overview of Software Agent Platforms Available in 2023

Strategic Interaction Multi-Agent Deep Reinforcement Learning

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

A survey of benchmarks for reinforcement learning algorithms

Diverse Policy Optimization for Structured Action Space


Microlensing Modelling package

VBBINARYLENSING: a public package for microlensing light-curve computation

Modeling microlensing events with MulensModel

A ubiquitous unifying degeneracy in two-body microlensing systems

Kepler K2 Campaign 9-I. Candidate short-duration events from the first space-based survey for planetary microlensing

Light-curve calculations for triple microlensing systems

A public code for astrometric microlensing with contour integration


OpenMMLab optical flow toolbox and benchmark

FlowNet: Learning Optical Flow with Convolutional Networks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

Learning to Estimate Hidden Motions with Global Motion Aggregation

MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

A Lightweight Optical Flow CNN —Revisiting Data Fidelity and Regularization

PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding


A python tool for evaluating the quality of sentence embeddings.

Skip-Thought Vectors

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Sentence Encoder

What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

StarSpace: Embed All The Things!

Relational Triple Extraction: One Step is Enough

DisSent: Learning Sentence Representations from Explicit Discourse Relations


A fast and robust point cloud registration library

TEASER: Fast and Certifiable Point Cloud Registration

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Fast and Robust Iterative Closest Point

A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates

A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

ARCS: Accurate Rotation and Correspondence Search

You Only Look at One: Category-Level Object Representations for Pose
  Estimation From a Single Example

Stress-Testing Point Cloud Registration on Automotive LiDAR


A data utility for tracking climate action


A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.

Genome-wide identification and analysis of prognostic features in human cancers

Prediction of condition-specific regulatory genes using machine learning

A search for transient events in Konus-Wind data

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

A hybrid adjacency and time-based data structure for analysis of temporal networks


Biodiversity Data Quality (BDQ) Interest Group

The Atlas of Living Australia: History, current state and future directions

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data

Biodiversity Information Science and Standards

Research infrastructure challenges in preparing essential biodiversity variables data products for alien invasive species

Data Quality Task Group 2: Tests and Assertions

Toward a Biodiversity Data Fitness for Use Backbone (FFUB): A Node.js module prototype


Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

A Time-dependent SIR model for COVID-19

Modeling COVID-19 scenarios for the United States

On the Utility of Prediction Sets in Human-AI Teams

The depressive state of Denmark during the COVID-19 pandemic

Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

Forecasting: theory and practice


OCO-2 Satellite CO2 peak detector.


Wrapper to the eBird API


Holistic Evaluation of Language Models

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs

Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition


Soil Incubation Database sidb

Interactions among temperature, moisture, and oxygen concentrations in controlling decomposition rates in a boreal forest soil

Decomposability of soil organic matter over time: the Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures


A captcha library that generates audio and image CAPTCHAs.

Deep-CAPTCHA: A Deep Learning Based CAPTCHA Solver for Vulnerability Assessment

Using Domain Adversarial Learning for Text Captchas Recognition

Труды Института системного программирования РАН

Vulnerability analysis of captcha using Deep learning


Industrial Benchmark

Deep Reinforcement Learning: An Overview

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

Interpretable Policies for Reinforcement Learning by Genetic Programming

A Benchmark Environment Motivated by Industrial Control Problems

IEEE Symposium Series on Computational Intelligence

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning

Batch reinforcement learning on the industrial benchmark: First experiences

International Joint Conference on Neural Network

Introduction to the "Industrial Benchmark"

User-Interactive Offline Reinforcement Learning


Gene set variation analysis

Systematic Analysis of the Aberrances and Functional Implications of Ferroptosis in Cancer

A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling

Immunopeptidomic analyses of colorectal cancers with and without microsatellite instability

Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma

Blockage of EGFR/AKT and mevalonate pathways synergize the antitumor effect of temozolomide by reprogramming energy metabolism in glioblastoma

Lactotransferrin promotes intervertebral disc degeneration by regulating Fas and inhibiting human nucleus pulposus cell apoptosis


Repository for the Georgetown University Multilayer Corpus (GUM)

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

Semantically Constrained Multilayer Annotation: The Case of Coreference

All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations

Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises

Workshop on Innovative Use of NLP for Building Educational Applications

Can we Fix the Scope for Coreference? Problems and Solutions for
  Benchmarks beyond OntoNotes


solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

A Simple Framework for Contrastive Learning of Visual Representations

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Whitening for Self-Supervised Representation Learning


Python package for the evaluation of odometry and SLAM

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Visual and Visual-Inertial SLAM: State of the Art, Classification, and Experimental Benchmarking

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots


The official GitHub page for the survey paper "A Survey of Large Language Models".

A Survey of Large Language Models

A Survey of Reasoning with Foundation Models

Toward an Ethics of AI Belief


Upper atmosphere climatological models in Python

Snakes on a Spaceship—An Overview of Python in Heliophysics

Journal of geophysical research. Space physics

New results on equatorial thermospheric winds and temperatures from Ethiopia, Africa

Climatology of thermospheric neutral winds over Oukaïmeden Observatory in Morocco

Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations

On a simple, data-aided analytic description of the morphology of equatorial F-region zonal plasma drifts

On Definition of BigData


Toolbox for simulation and processing of in-vivo magnetic resonance spectroscopy (MRS) data

Accelerated MR spectroscopic imaging—a review of current and emerging techniques

Linking GABA and glutamate levels to cognitive skill acquisition during development

Induced sensorimotor cortex plasticity remediates chronic treatment-resistant visual neglect

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence

Excitation and inhibition in anterior cingulate predict use of past experiences

Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction

Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model

Altered glutamate level and its association with working memory among patients with treatment-resistant schizophrenia (TRS): a proton magnetic resonance spectroscopy study

Glutamine + glutamate level predicts the magnitude of microstructural organization in the gray matter in the healthy elderly


Tools for detecting DNA modifications from single molecule, real-time sequencing data

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

High contiguity de novo genome assembly and DNA modification analyses for the fungus fly, Sciara coprophila, using single-molecule sequencing

DNAModAnnot: a R toolbox for DNA modification filtering and annotation


Protein-Ligand Benchmark Dataset for Free Energy Calculations

Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

Journal of the American Chemical Society

Discovery of Potent Myeloid Cell Leukemia 1 (Mcl-1) Inhibitors Using Fragment-Based Methods and Structure-Based Design

Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects

Journal of chemical information and modeling

Large scale relative protein ligand binding affinities using non-equilibrium alchemy

Using AMBER18 for Relative Free Energy Calculations

Predicting Activity Cliffs with Free-Energy Perturbation

Journal of chemical theory and computation

Best practices for constructing, preparing, and evaluating
  protein-ligand binding affinity benchmarks

The maximal and current accuracy of rigorous protein-ligand binding free energy calculations


CLD3 is a neural network model for language identification.

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

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

No Language Left Behind: Scaling Human-Centered Machine Translation

Crosslingual Generalization through Multitask Finetuning

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

DataComp: In search of the next generation of multimodal datasets

Survey of Low-Resource Machine Translation

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

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

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


CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection


Viral genomics analysis pipelines

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Journal of visualized experiments : JoVE

Powassan Virus Neuropathology and Genomic Diversity in Patients With Fatal Encephalitis

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

VGEA: an RNA viral assembly toolkit

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

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


A tool for the spatial analysis of diversity


OpenChat: Advancing Open-source Language Models with Imperfect Data

Self-Instruct: Aligning Language Models with Self-Generated Instructions

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Self-Alignment with Instruction Backtranslation

Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of
  Large Language Models

Contrastive Post-training Large Language Models on Data Curriculum


R package for visualizing complex and multi-track 1D and 2D genomic data in GenomicRanges framework

Structural variant evolution after telomere crisis

Enhancer hijacking determines intra- and extrachromosomal circular MYCN amplicon architecture in neuroblastoma

Most large structural variants in cancer genomes can be detected without long reads

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers


Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Pyramid Scene Parsing Network

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

SLEAP: A deep learning system for multi-animal pose tracking

Multimodal Self-Supervised Learning for Medical Image Analysis

Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning

Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis


Intel® Software Guard Extensions SSL

Precision health data: Requirements, challenges and existing techniques for data security and privacy

SafeKeeper: Protecting Web Passwords using Trusted Execution Environments

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

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

IBBE-SGX: Cryptographic Group Access Control Using Trusted Execution Environments

Trust Anchors in Software Defined Networks

Util::Lookup: Exploiting key decoding in cryptographic libraries

A Comprehensive Benchmark Suite for Intel SGX

RAPTEE: Leveraging trusted execution environments for Byzantine-tolerant peer sampling services

Fair Marketplace for Secure Outsourced Computations

Distributed systems and trusted execution environments: Trade-offs and challenges

Anais Estendidos do Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC Estendido 2020)


extract TEC, vTEC, Earthmagnetic field and Rotation Measures from GPS and WMM data for radio interferometry observations

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

The Challenges of Low-Frequency Radio Polarimetry: Lessons from the Murchison Widefield Array

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

The effect of the ionosphere on ultra-low-frequency radio-interferometric observations

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

Monthly Notices of the Royal Astronomical Society

The intergalactic magnetic field probed by a giant radio galaxy

154 MHz Detection of Faint, Polarized Flares from UV Ceti

Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog

The POlarised GLEAM Survey (POGS) I: First results from a low-frequency radio linear polarisation survey of the southern sky


Code relative to "Reliable  evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Adversarial Weight Perturbation Helps Robust Generalization

RobustBench: a standardized adversarial robustness benchmark

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Fixing Data Augmentation to Improve Adversarial Robustness

Improving Robustness using Generated Data

Data Augmentation Can Improve Robustness

Learnable Boundary Guided Adversarial Training

LAS-AT: Adversarial Training with Learnable Attack Strategy


Neural SPARQL Machines for Knowledge Graph Question Answering.

SPARQL as a Foreign Language

Neural Machine Translation for Query Construction and Composition

Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition

Reducing the impact of out of vocabulary words in the translation of
  natural language questions into SPARQL queries


Automatic program repair system for Java based on dynamic analysis and code synthesis with SMT. Also contains the code of Dynamoth.

Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs

IEEE transactions on software engineering

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

A snowballing literature study on test amplification

Journal of systems and software/The Journal of systems and software

Automatic Repair of Real Bugs: An Experience Report on the Defects4J
  Dataset

Revisiting ssFix for Better Program Repair

Dynamic Analysis can be Improved with Automatic Test Suite Refactoring


PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving
  with Workload Awareness


Fast and flexible nonadiabatic molecular dynamics in Julia!

NQCDynamics.jl: A Julia package for nonadiabatic quantum classical molecular dynamics in the condensed phase

Efficient implementation and performance analysis of the independent
  electron surface hopping method for dynamics at metal surfaces

Assessing Mixed Quantum-Classical Molecular Dynamics Methods for Nonadiabatic Dynamics of Molecules on Metal Surfaces

Machine learning interatomic potentials for reactive hydrogen dynamics
  at metal surfaces based on iterative refinement of reaction probabilities


Scientific Computational Imaging COde

Diffusion Posterior Sampling for General Noisy Inverse Problems

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Prompt-tuning latent diffusion models for inverse problems


An Exchange Format for Verification Witnesses (MOVED, please follow the link)

Reliable and Reproducible Competition Results with BenchExec and Witnesses (Report on SV-COMP 2016)

Tools and Algorithms for Construction and Analysis of Systems

Software Verification and Verifiable Witnesses - (Report on SV-COMP 2015)

Witness validation and stepwise testification across software verifiers

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Advances in Automatic Software Verification: SV-COMP 2020

Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework

MetaVal: Witness Validation via Verification

Verification-Aided Debugging: An Interactive Web-Service for Exploring Error Witnesses

Cooperation Between Automatic and Interactive Software Verifiers

Dartagnan: SMT-based Violation Witness Validation (Competition Contribution)

Tools and Algorithms for the Construction and Analysis of Systems


Python implementation of the rulefit algorithm

Generalized Linear Rule Models

Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM

Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming

HiPaR: Hierarchical Pattern-aided Regression

FIRE: An Optimization Approach for Fast Interpretable Rule Extraction

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


Facilitating the design, comparison and sharing of deep text matching models.

Hierarchical Poset Decoding for Compositional Generalization in Language

Interpreting Neural Ranking Models using Grad-CAM


Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in Glioblastoma

Efficient detection and monitoring of pediatric brain malignancies with liquid biopsy based on patient-specific somatic mutation screening

qmotif: determination of telomere content from whole-genome sequence data

Computer Architecture-Aware Optimisation of DNA Analysis Systems


Python bindings for casacore, a library used in radio astronomy

kern

Shakespeare and National Identity : A Dictionary

Improved sensitivity for space domain awareness observations with the murchison widefield array

The Rapid ASKAP Continuum Survey IV: continuum imaging at 1367.5 MHz and the first data release of RACS-mid


Solax Inverter API Wrapper


Database with posteriors of interest for Bayesian inference

Pathfinder: Parallel quasi-Newton variational inference

Challenges and Opportunities in High-dimensional Variational Inference

Detecting and diagnosing prior and likelihood sensitivity with power-scaling

Robust, Automated, and Accurate Black-box Variational Inference

Foundation Posteriors for Approximate Probabilistic Inference

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions

Automatic Guide Generation for Stan via NumPyro

Bernstein Flows for Flexible Posteriors in Variational Bayes

Batch and match: black-box variational inference with a score-based divergence


A large-scale benchmark and learning environment.

RLBench: The Robot Learning Benchmark & Learning Environment

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

Rearrangement: A Challenge for Embodied AI

Reinforcement Learning with Action-Free Pre-Training from Videos

Instruction-driven history-aware policies for robotic manipulations

Instruction-Following Agents with Multimodal Transformer

A Universal Semantic-Geometric Representation for Robotic Manipulation

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation


README and scripts for the Cityscapes Dataset

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Video Coding for Machines with Feature-Based Rate-Distortion Optimization

PatchPerPix for Instance Segmentation

Panoptic Segmentation on Panoramic Radiographs: Deep Learning-Based Segmentation of Various Structures Including Maxillary Sinus and Mandibular Canal

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

On Intra Video Coding And In-Loop Filtering For Neural Object Detection Networks

International Conference on Information Photonics

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids

Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data

International Symposium on Circuits and Systems


Evolutionary couplings from protein and RNA sequence alignments

The EVcouplings Python framework for coevolutionary sequence analysis

Inferring protein 3D structure from deep mutation scans

Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences

Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact

Dormant spores sense amino acids through the B subunits of their germination receptors

Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions

The structural basis for regulation of the glutathione transporter Ycf1 by regulatory domain phosphorylation

Efficient polyethylene terephthalate degradation at moderate temperature: a protein engineering study of LC‐cutinase highlights the key role of residue 243

Evidence that regulation of intramembrane proteolysis is mediated by substrate gating during sporulation in Bacillus subtilis

Proteome-scale discovery of protein interactions with residue-level resolution using sequence coevolution


Visual tracking library based on PyTorch.

Learning Discriminative Model Prediction for Tracking

Learning Spatio-Temporal Transformer for Visual Tracking

Probabilistic Regression for Visual Tracking

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

Know Your Surroundings: Exploiting Scene Information for Object Tracking

Learning Target Candidate Association to Keep Track of What Not to Track

Transforming Model Prediction for Tracking

Learning What to Learn for Video Object Segmentation

Correlation-Aware Deep Tracking

Unified Transformer Tracker for Object Tracking


Vitis Libraries

AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators

Democratizing Domain-Specific Computing

TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design

Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs

PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON HIGHLY EFFICIENT ACCELERATORS AND RECONFIGURABLE TECHNOLOGIES, HEART 2022

Understanding the Potential of FPGA-Based Spatial Acceleration for Large
  Language Model Inference

Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver


A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Explainable AI for Bioinformatics: Methods, Tools, and Applications


A PyTorch Toolbox for Face Recognition

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Masked Face Recognition Challenge: The InsightFace Track Report

MFR 2021: Masked Face Recognition Competition

Dual Spoof Disentanglement Generation for Face Anti-Spoofing With Depth Uncertainty Learning

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

Balanced Masked and Standard Face Recognition

Prepended Domain Transformer: Heterogeneous Face Recognition Without Bells and Whistles

Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher
  Mixture Model

Low-mid adversarial perturbation against unauthorized face recognition system


Semantic Segmentation Architectures Implemented in PyTorch

AMP: Adaptive Masked Proxies for Few-Shot Segmentation

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures

Fast acoustic scattering using convolutional neural networks

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles

Associative Embedding for Game-Agnostic Team Discrimination

Fully Hyperbolic Convolutional Neural Networks

Automated Damage Inspection of Power Transmission Towers from UAV Images

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains


The open source BIMserver platform

Querying 3D Cadastral Information from BIM Models

ISPRS international journal of geo-information

A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

ARK-BIM: Open-Source Cloud-Based HBIM Platform for Archaeology

HBIM Open Source: A Review

PRACTICAL EXAMPLES ON BIM-GIS INTEGRATION BASED ON SEMANTIC WEB TRIPLESTORES

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

Research on BIM model lightweighting methods and IoT technology application in the context of WebGL


Keras implementations of Generative Adversarial Networks.

Generative Adversarial Networks

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

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


COCO API - Dataset @ http://cocodataset.org/

DetNet: Design Backbone for Object Detection

Light-Head R-CNN: In Defense of Two-Stage Object Detector

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation

Cross-Domain Adaptation for Animal Pose Estimation

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

End-to-End Referring Video Object Segmentation with Multimodal Transformers

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

MVTec D2S: Densely Segmented Supermarket Dataset

Nanoparticle Recognition on Scanning Probe Microscopy Images Using Computer Vision and Deep Learning

Learning to Discover, Ground and Use Words with Segmental Neural Language Models


rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

rPPG-Toolbox: Deep Remote PPG Toolbox

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and
  Temporal Physiological Measurements


LCIA Formatter

Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List


PyTorch implementations of neural network models for keyword spotting

Deep Residual Learning for Small-Footprint Keyword Spotting

An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting

Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data

JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis

Fighting Voice Spam with a Virtual Assistant Prototype


PyGBe: Python, GPUs and Boundary elements for electrostatics

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Electrostatic plasmon resonances of metal nanospheres in layered geometries

Physical review. B, Condensed matter and materials physics

Probing protein orientation near charged nanosurfaces for simulation-assisted biosensor design

Poisson-Boltzmann model for protein-surface electrostatic interactions and grid-convergence study using the PyGBe code

PyGBe: Python, GPUs and Boundary elements for biomolecular electrostatics

PyGBe-LSPR—Computational nanoplasmonics for biosensing applications (reproducibility packages)

A boundary-integral approach for the Poisson-Boltzmann equation with
  polarizable force fields

PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics

Reproducible validation and replication studies in nanoscale physics

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


Mutation Identification Pipeline. Read the latest documentation:

Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients

From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

Intra-mitochondrial Methylation Deficiency Due to Mutations in SLC25A26

Rapid pulsed whole genome sequencing for comprehensive acute diagnostics of inborn errors of metabolism

Rare variants in the outcome of social skills group training for autism

Massive parallel sequencing in individuals with multiple primary tumours reveals the benefit of re-analysis

Novel Cysteine-Sparing Hypomorphic NOTCH3 A1604T Mutation Observed in a Family With Migraine and White Matter Lesions


A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

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

Cross-lingual Contextualized Topic Models with Zero-shot Learning

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

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

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM


MRH's research code

Multiconfigurational Self-Consistent Field Theory with Density Matrix Embedding: The Localized Active Space Self-Consistent Field Method

Journal of chemical theory and computation

Variational Localized Active Space Self-Consistent Field Method

Quantum-classical hybrid algorithm for the simulation of all-electron correlation

Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection

Zenodo (CERN European Organization for Nuclear Research)

Localized Quantum Chemistry on Quantum Computers

State preparation in quantum algorithms for fragment-based quantum
  chemistry


Code for the TCAV ML interpretability project

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Explainable AI Methods - A Brief Overview

Survey of Explainable AI Techniques in Healthcare

Best of both worlds: local and global explanations with human-understandable concepts

TCAV: Relative concept importance testing with Linear Concept Activation Vectors


Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

MediaSpeech: Multilanguage ASR Benchmark and Dataset

Sporthesia: Augmenting Sports Videos Using Natural Language

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

Hearing voices at the National Library -- a speech corpus and acoustic
  model for the Swedish language

Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor

Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing

An Analysis of Semantically-Aligned Speech-Text Embeddings

Movie Genre Classification by Language Augmentation and Shot Sampling

EfficientWord-Net: An Open Source Hotword Detection Engine Based on Few-Shot Learning


tinycrypt is a library of cryptographic algorithms with a focus on small, simple implementation.

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Quantum-Resistant Security for Software Updates on Low-power Networked Embedded Devices

Usable Security for an IoT OS: Integrating the Zoo of Embedded Crypto
  Components Below a Common API


A unified pseudo-Cl framework

A unified pseudo-Cℓ framework

Monthly notices of the Royal Astronomical Society

unWISE tomography of Planck CMB lensing

Journal of Cosmology and Astroparticle Physics

Cosmological constraints from unWISE and Planck CMB lensing tomography

Probing cosmic inflation with theLiteBIRDcosmic microwave background polarization survey

Progress of theoretical and experimental physics

Cosmic Birefringence from the Planck Data Release 4.

Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Monthly Notices of the Royal Astronomical Society

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Dark Energy Survey Year 3 results: A 2.7% measurement of baryon acoustic oscillation distance scale at redshift 0.835

Erratum: Tomographic measurement of the intergalactic gas pressure through galaxy-tSZ cross-correlations

Large-scale Maps of the Cosmic Infrared Background from Planck


FeatherCNN is a high performance inference engine for convolutional neural networks.

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

A First Look at Deep Learning Apps on Smartphones

FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

IEEE transactions on parallel and distributed systems

A First Look at On-device Models in iOS Apps

AI-driven Mobile Apps: an Explorative Study

Towards Effective Depthwise Convolutions on ARMv8 Architecture


Facebook Low Resource (FLoRes) MT Benchmark

Beyond English-Centric Multilingual Machine Translation

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

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual
  Machine Translation

The FLoRes Evaluation Datasets for Low-Resource Machine Translation:
  Nepali-English and Sinhala-English

DeepNet: Scaling Transformers to 1,000 Layers

Towards Making the Most of ChatGPT for Machine Translation

Survey of Low-Resource Machine Translation

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

Survey on Publicly Available Sinhala Natural Language Processing Tools
  and Research


Foundation Architecture for (M)LLMs

Language Is Not All You Need: Aligning Perception with Language Models

Retentive Network: A Successor to Transformer for Large Language Models

LongNet: Scaling Transformers to 1,000,000,000 Tokens

A Length-Extrapolatable Transformer

On the Representation Collapse of Sparse Mixture of Experts

Adapting Large Language Models via Reading Comprehension

Stabilizing Transformer Training by Preventing Attention Entropy
  Collapse

Foundation Transformers

TorchScale: Transformers at Scale


A versatile modelling tool for transiting and non-transiting (single and multiple) exoplanetary systems

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

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

Transit detection of the long-period volatile-rich super-Earth ν2 Lupi d with CHEOPS

HD 213885b: A transiting 1-d-period super-Earth with an Earth-like composition around a bright (V = 7.9) star unveiled by TESS

An ultrahot Neptune in the Neptune desert

A nearby transiting rocky exoplanet that is suitable for atmospheric investigation

TOI-132 b: A short-period planet in the Neptune desert transiting a v = 11.3 G-type star

HATS-54b–HATS-58Ab: Five New Transiting Hot Jupiters Including One with a Possible Temperate Companion

A detailed analysis of the Gl 486 planetary system

A super-massive Neptune-sized planet


Port of MATPOWER to Python

PyPSA: Python for Power System Analysis

Linear optimal power flow using cycle flows

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems

Monitoring Long Term Voltage Instability due to Distribution & Transmission Interaction using Unbalanced μPMU & PMU Measurements

Power and Energy Society General Meeting

InterPSS: A New Generation Power System Simulation Engine

PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis

Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education

Solving AC Power Flow with Graph Neural Networks under Realistic Constraints

Urban Generative Intelligence (UGI): A Foundational Platform for Agents
  in Embodied City Environment

Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions


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


Keras implementation of Deeplab v3+ with pretrained weights

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

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

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

SPIQ: Data-Free Per-Channel Static Input Quantization

MolMiner: You only look once for chemical structure recognition


Measures and metrics for image2image tasks. PyTorch.

Raising the Cost of Malicious AI-Powered Image Editing

Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks

Not Just Streaks: Towards Ground Truth for Single Image Deraining

PyTorch Image Quality: Metrics for Image Quality Assessment

Robust Vision-Based Cheat Detection in Competitive Gaming

An Optimal Transport Perspective on Unpaired Image Super-Resolution

Image Quality Assessment for Magnetic Resonance Imaging

ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection

Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets


Transactive Energy Service System

Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment


Train learned optimizers in Jax.

Gradients are Not All You Need

Computing Programs for Generalized Planning as Heuristic Search

VeLO: Training Versatile Learned Optimizers by Scaling Up

evosax: JAX-based Evolution Strategies

Practical tradeoffs between memory, compute, and performance in learned
  optimizers

A Closer Look at Learned Optimization: Stability, Robustness, and
  Inductive Biases

Transformer-Based Learned Optimization

Learning to Optimize for Reinforcement Learning

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies


Source files for SiFive's Freedom platforms

ISA Extensions for Finite Field Arithmetic

IACR transactions on cryptographic hardware and embedded systems

Zipper Stack: Shadow Stacks Without Shadow

The Accuracy and Efficiency of Posit Arithmetic

A portable and Linux capable RISC-V computer system in Verilog HDL


Fast and frugal disk based k-mer counter

KMC 3: counting and manipulating k-mer statistics

KMC 2: fast and resource-frugal k-mer counting

Disk-based k-mer counting on a PC

Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

Mutational Pressure Drives Differential Genome Conservation in Two Bacterial Endosymbionts of Sap-Feeding Insects

Estimation of genome size using k-mer frequencies from corrected long reads

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

SPRISS: Approximating Frequent k-mers by Sampling Reads, and
  Applications


OWLTools

Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

ROBOT: A Tool for Automating Ontology Workflows

Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools

Methods in molecular biology (Clifton, N.J.)

Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems

A Framework for Automated Construction of Heterogeneous Large-Scale Biomedical Knowledge Graphs

Classical patterns and POPs

How, What and Why to test an ontology

GOcats: A tool for categorizing Gene Ontology into subgraphs of user-defined concepts

Identification of Candidate Susceptibility Genes to Puccinia graminis f. sp. tritici in Wheat


Near-optimal RNA-Seq quantification

A simple guide to de novo transcriptome assembly and annotation

Systematic Assessment of Transcriptomic Biomarkers for Immune Checkpoint Blockade Response in Cancer Immunotherapy

Meta-Analysis of the Public RNA-Seq Data of the Western Honeybee Apis mellifera to Construct Reference Transcriptome Data

Discovering tumor-reactive T-cell receptors through single-cell sequencing of tumor-infiltrating lymphocytes


Command line utility for forced alignment using Kaldi

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

Acoustic and Language Based Deep Learning Approaches for Alzheimer's Dementia Detection From Spontaneous Speech

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive
  Bias

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

IQDUBBING: Prosody modeling based on discrete self-supervised speech
  representation for expressive voice conversion

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis

iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre


SEM2DPACK - A spectral element method for 2D wave propagation and fracture dynamics, with emphasis on computational seismology and earthquake source dynamics.

Fault strength and rupture process controlled by fault surface topography

The Earth’s surface controls the depth-dependent seismic radiation of megathrust earthquakes

The sharp turn: Backward rupture branching during the 2023 Mw 7.8 Kahramanmaraş (Türkiye) earthquake


This is the repository for the GA4GH Data Security Work Stream, containing AAI and DSIP.

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

GA4GH Passport standard for digital identity and access permissions

Implementation of Privacy and Security for a Genomic Information System Based on Standards

A five-safes approach to a secure and scalable genomics data repository


An AI to compete live in Ghana’s National Science and Maths Quiz competition

Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand
  Challenge for Education

Towards an AI to Win Ghana's National Science and Maths Quiz


REL: Radboud Entity Linker

REL: An Entity Linker Standing on the Shoulders of Giants

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

Entity Linking Meets Deep Learning: Techniques and Solutions

Pre-training Language Models with Deterministic Factual Knowledge

TweetNERD -- End to End Entity Linking Benchmark for Tweets

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

OpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain Dialogue

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Normalizing flows in PyTorch

SBI -- A toolkit for simulation-based inference

Stochastic Normalizing Flows

Phase space sampling and inference from weighted events with autoregressive flows

Machine learning in solar physics


TPRF: The Two-Particle Response Function tool box for TRIQS

Strongly Correlated Materials from a Numerical Renormalization Group Perspective: How the Fermi-Liquid State of Sr 2 RuO 4 Emerges

Magnetic response of Sr 2 RuO 4 : Quasi-local spin fluctuations due to Hund's coupling

Distinct spin and orbital dynamics in Sr_2RuO_4

Dual Bethe-Salpeter equation for the multi-orbital lattice
  susceptibility within dynamical mean-field theory

Larmor precession in strongly correlated itinerant electron systems


Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

ConvLab: Multi-Domain End-to-End Dialog System Platform

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Using Data Augmentation Based Reinforcement Learning for Daily Stock Trading

SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning


IPFS Papers (not specs)

Towards Blockchain-based Auditable Storage and Sharing of IoT Data

Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams

A Decentralized Model for Spatial Data Digital Rights Management

ISPRS international journal of geo-information

d-MABE: Distributed Multilevel Attribute-Based EMR Management and Applications


R package for integrating and analyzing multiple single-cell datasets

Mapping single-cell data to reference atlases by transfer learning

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

Computational methods for the integrative analysis of single-cell data

UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization

DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data

Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis

Bi-order multimodal integration of single-cell data

Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network

Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning


OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

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

Autoencoding Variational Inference For Topic Models

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

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

An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures

Recent Advances in Natural Language Processing

Learning Directed Graphical Models with Optimal Transport

Towards Reinterpreting Neural Topic Models via Composite Activations

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


A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Synthcity: facilitating innovative use cases of synthetic data in
  different data modalities

Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs

Diverse Community Data for Benchmarking Data Privacy Algorithms


Large scale graph learning on a single machine.

Marius: Learning Massive Graph Embeddings on a Single Machine

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

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks


Parallel t-SNE implementation with Python and Torch wrappers.

Nuclei multiplexing with barcoded antibodies for single-nucleus genomics

Learning with uncertainty for biological discovery and design

Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Hyper-Spectral Imaging Technique in the Cultural Heritage Field: New Possible Scenarios

UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

Zenodo (CERN European Organization for Nuclear Research)

ChemPlot, a Python library for chemical space visualization

Identifying safe intersection design through unsupervised feature extraction from satellite imagery

Computer-aided civil and infrastructure engineering

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

Multi-type Disentanglement without Adversarial Training


Differential privacy validator and runtime

Precision-based attacks and interval refining: how to break, then fix,
  differential privacy on finite computers

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

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

Differential Privacy: What is all the noise about?


Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

FfDL : A Flexible Multi-tenant Deep Learning Platform

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

Effective Elastic Scaling of Deep Learning Workloads

Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective


Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Virtual Reality Digital Twin and Environment for Troubleshooting
  Lunar-based Infrastructure Assembly Failures

Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations

A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance

Shared-Control Robotic Manipulation in Virtual Reality

OpenVR: Teleoperation for Manipulation

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Low-Cost Digital Twin Approach and Tools to Support Industry and Academia: A Case Study Connecting High-Schools with High Degree Education


Repository for the GA4GH phenopacket schema

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

The RD‐Connect Genome‐Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases

The GA4GH Phenopacket schema: A computable representation of clinical data for precision medicine

GeneBreaker: Variant simulation to improve the diagnosis of Mendelian rare genetic diseases


MuZero

Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Atari Games with Limited Data

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

State2Explanation: Concept-Based Explanations to Benefit Agent Learning
  and User Understanding

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

Beyond games: a systematic review of neural Monte Carlo tree search applications

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General
  Sequential Decision Scenarios


PDBFixer fixes problems in PDB files

An optimized chemical-genetic method for cell-specific metabolic labeling of RNA

The dynamic conformational landscape of the protein methyltransferase SETD8

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques

Molecular mechanism of LIP05 derived from Monascus purpureus YJX-8 for synthesizing fatty acid ethyl esters under aqueous phase

The Dynamic Conformational Landscapes of the Protein Methyltransferase SETD8

A Novel Machine Learning Approach Uncovers New and Distinctive Inhibitors for Cyclin-Dependent Kinase 9

Binding of a Pyrene-Based Fluorescent Amyloid Ligand to Transthyretin: A Combined Crystallographic and Molecular Dynamics Study

An Open-Source Molecular Builder and Free Energy Preparation Workflow


PyTorch CTC Decoder bindings

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

End-to-end Lyrics Alignment for Polyphonic Music Using an
  Audio-to-Character Recognition Model

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

No Padding Please: Efficient Neural Handwriting Recognition

International Conference on Document Analysis and Recognition

Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization

A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine
  Translation

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Exploring End-to-End Techniques for Low-Resource Speech Recognition


Describe and apply transformation on molecular structures and topologies

Martinize2 and Vermouth: Unified Framework for Topology Generation

Phospholipids are imported into mitochondria by VDAC, a dimeric beta barrel scramblase

Dynamic HIV-1 spike motion creates vulnerability for its membrane-bound tripod to antibody attack

Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations


Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample.

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

Genomic and transcriptomic characterization of delta SARS-CoV-2 infection in free-ranging white-tailed deer (Odocoileus virginianus)

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


Minimum Information about any (X) Sequence” (MIxS) specification

Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications

MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms

Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability


The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.  This fork is used to manage Apple’s stable releases of Clang as well as support the Swift project.

In-Kernel Control-Flow Integrity on Commodity OSes using ARM Pointer
  Authentication

Camouflage: Hardware-assisted CFI for the ARM Linux kernel

Representing LLVM-IR in a Code Property Graph


Pipeline of tools to process raw fastq data and produce meaningful genomic data

Single-cell derived tumor organoids display diversity in HLA class I peptide presentation

Precancerous liver diseases do not cause increased mutagenesis in liver stem cells

Rapid identification of genomic structural variations with nanopore sequencing enables blood-based cancer monitoring


High-quality Nanopore-only genome polisher

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

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

Insight into the Mechanisms of Carbapenem Resistance in Klebsiella pneumoniae: A Study on IS26 Integrons, Beta-Lactamases, Porin Modifications, and Plasmidome Analysis


A library of mechanised undecidability proofs in the Coq proof assistant.

Hilbert's Tenth Problem in Coq (Extended Version)

Trakhtenbrot's Theorem in Coq, A Constructive Approach to Finite Model Theory

Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

Towards a Coq formalization of a quantified modal logic

Oracle Computability and Turing Reducibility in the Calculus of Inductive Constructions


Python routines for calculations and data on the Intergalactic Medium

The COS-Halos Survey: Metallicities in the Low-redshift Circumgalactic Medium

Deep learning of quasar spectra to discover and characterize damped Lyα systems

Monthly Notices of the Royal Astronomical Society

The COS CGM Compendium. II: Metallicities of the Partial and Lyman Limit Systems at z<1

MUSE Analysis of Gas around Galaxies (MAGG) -- I: Survey design and the
  environment of a near pristine gas cloud at z~3.5

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen

LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-α Forest BAO Surveys

Journal of Cosmology and Astroparticle Physics

The COS Absorption Survey of Baryon Harbors: The Galaxy Database and Cross-correlation Analysis of O vi Systems

MUSE Analysis of Gas around Galaxies (MAGG) – IV: The gaseous
  environment of z∼ 3-4 Lyman-alpha emitting galaxies

The astrophysical consequences of intervening galaxy gas on fast radio bursts

Galactic Gas Flows from Halo to Disk: Tomography and Kinematics at the Milky Way's Disk-Halo Interface


soilDB: Simplified Access to National Cooperative Soil Survey Databases