Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network.

Tropical rainfall monitoring with commercial microwave links in Sri Lanka

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Commercial microwave link data for rainfall monitoring

Towards Innovative Solutions for Monitoring Precipitation in Poorly Instrumented Regions: Real-Time System for Collecting Power Levels of Microwave Links of Mobile Phone Operators for Rainfall Quantification in Burkina Faso


Creative Commons Attribution 4.0 International

Green Algorithms: Quantifying the carbon footprint of computation

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

The Carbon Footprint of Bioinformatics


A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Adapting by Pruning: A Case Study on BERT

Novelty Detection: A Perspective from Natural Language Processing

International Conference on Computational Logic

Contradiction Detection in Persian Text


SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.


Dutch coreference resolution & dialogue analysis using deterministic rules

A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News

A Dutch coreference resolution system with an evaluation on literary fiction

Computational Linguistics in the Netherlands

A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature

Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference


Code for evolving a Dark Matter minispike under the influence of a perturbing body, injecting energy through dynamical friction.

Measuring the dark matter environments of black hole binaries with gravitational waves

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer

Disks, spikes, and clouds: distinguishing environmental effects on BBH gravitational waveforms

Secondary accretion of dark matter in intermediate mass-ratio inspirals: Dark-matter dynamics and gravitational-wave phase

Sharpening the dark matter signature in gravitational waveforms II:
  Numerical simulations with the NbodyIMRI code

Sharpening the dark matter signature in gravitational waveforms I:
  Accretion and eccentricity evolution

Dark Spiky Primordial Black Holes


TGS scaffolding

LRScaf: improving draft genomes using long noisy reads

A Candidate Gene Cluster for the Bioactive Natural Product Gyrophoric Acid in Lichen-Forming Fungi

Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens

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


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

Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis

Challenges of ELA-guided Function Evolution using Genetic Programming

Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework


Identifying Blue Large Amplitude Pulsators from Gaia DR2 & ZTF DR3

Monthly notices of the Royal Astronomical Society

AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN

Automated SpectroPhotometric Image REDuction (ASPIRED) -- A Python-based spectral data reduction toolkit

Rapidly Evolving Transients in Archival ZTF Public Alerts


Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration

Should You Mask 15% in Masked Language Modeling?

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper

SQuAD: 100,000+ Questions for Machine Comprehension of Text

SCROLLS: Standardized CompaRison Over Long Language Sequences

Efficient Long-Text Understanding with Short-Text Models

Enhancing text comprehension for Question Answering with Contrastive Learning

Workshop on Representation Learning for NLP


Protein Origami via Genetic Fusions

Designed proteins assemble antibodies into modular nanocages

bioRxiv : the preprint server for biology

Design of multi-scale protein complexes by hierarchical building block fusion

De novo design of obligate ABC-type heterotrimeric proteins

Computational design of non-porous pH-responsive antibody nanoparticles


[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization


A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks

DARTS: Differentiable Architecture Search

Rethinking Differentiable Search for Mixed-Precision Neural Networks

PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices

IEEE Transactions on Emerging Topics in Computing

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference


EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

HuggingFace's Transformers: State-of-the-art Natural Language Processing

SentEval: An Evaluation Toolkit for Universal Sentence Representations

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing


Adyton: A Network Simulator for Opportunistic Networks

Simulating Opportunistic Networks: Survey and Future Directions

IEEE Communications Surveys and Tutorials

Proliferation of Opportunistic Routing: A Systematic Review

Opportunistic Networking Protocol Simulator for OMNeT++

TRAILS mobility model

SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL


MolRep: A Deep Representation Learning Library for Molecular Property Prediction

Quantitative evaluation of explainable graph neural networks for molecular property prediction

Revolutionizing GPCR-Ligand Predictions: DeepGPCR with experimental Validation for High-Precision Drug Discovery


Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via System Level Synthesis, by C. Amo Alonso, S. J. Li, F. Yang, J. Anderson and N. Matni.

Distributed and Localized Model-Predictive Control–Part I: Synthesis and Implementation

Data-driven Distributed and Localized Model Predictive Control

Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees


A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Bayesian Models for Unit Discovery on a Very Low Resource Language

Enabling Interactive Transcription in an Indigenous Community


CRISPR, faster, better – The Crackling method for whole-genome target detection

CRISPR-SE: a brute force search engine for CRISPR design

Rapid Whole-Genome Identification of High Quality CRISPR Guide RNAs with the Crackling Method.


Clustering of single-cell multi-omics data with a multimodal deep learning method

Robust single-cell matching and multimodal analysis using shared and distinct features

Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data

Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods


A uniform interface to astronomical selection functions of the major surveys.

Completeness of the Gaia verse II: what are the odds that a star is missing from Gaia DR2?

Monthly Notices of the Royal Astronomical Society

A Gaia Early DR3 Mock Stellar Catalog: Galactic Prior and Selection Function

Publications of the Astronomical Society of the Pacific

Completeness of the Gaia-verse V: Astrometry and Radial Velocity sample selection functions in Gaia EDR3

Constraints on the Galactic Centre environment from Gaia hyper-velocity stars

Comparing hypervelocity star populations from the Large Magellanic Cloud and the Milky Way

seestar: Selection functions for spectroscopic surveys of the Milky Way

Constraints on the Galactic Centre environment from Gaia hypervelocity stars II: The evolved population


Total Power Map to Visibilities (TP2VIS): Joint Deconvolution of ALMA 12 m, 7 m, and Total Power Array Data

Internal Structures of Molecular Clouds in the LMC Revealed by ALMA

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

A chemical map of the outbursting V883 Ori system: vertical and radial structures


emm Automatic Isolate Labeller

Integrative Reverse Genetic Analysis Identifies Polymorphisms Contributing to Decreased Antimicrobial Agent Susceptibility in Streptococcus pyogenes

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Novel emm4 lineage associated with an upsurge in invasive group A streptococcal disease in the Netherlands, 2022

A worldwide population of Streptococcus pyogenes strains circulating among school-aged children in Auckland, New Zealand: a genomic epidemiology analysis

The Lancet regional health. Western Pacific

Inter-species gene flow drives ongoing evolution ofStreptococcus pyogenesandStreptococcus dysgalactiaesubsp.equisimilis

The Emergence and Impact of the M1UK Lineage on Invasive Group A Streptococcus Disease in Aotearoa New Zealand


Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

Unlocking the black box of CNNs: Visualising the decision-making process with PRISM

PRISM: Principal Image Sections Mapping

TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization


This is a plant/farming simulator based on Finite Element Method, which targets crops in fields and soil foundations. This software provides multi-physical simulations of agriculture for canopies, plants, and organs for farmers, breeders, agronomists, and civil engineers. Please try and give us feedback.


ROSE2 python package

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

Interaction between SNAI2 and MYOD enhances oncogenesis and suppresses differentiation in Fusion Negative Rhabdomyosarcoma

Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Genome-wide profiling of active enhancers in colorectal cancer


The enriched version of the WebNLG described at INLG 2018

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Enriching the WebNLG corpus

International Conference on Natural Language Generation

Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems

Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities

International Conference on Computational Linguistics

Compositional Generalization for Data-to-Text Generation


A Python wrapper for the ROUGE summarization evaluation package

Extractive Opinion Summarization in Quantized Transformer Spaces

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

Contrastive Aligned Joint Learning for Multilingual Summarization

Meeting of the Association for Computational Linguistics

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

Towards Content Transfer through Grounded Text Generation

GenCompareSum: a hybrid unsupervised summarization method using salience

Workshop on Biomedical Natural Language Processing

Evaluating the Efficacy of Summarization Evaluation across Languages


Robust Neural Posterior Estimation and Statistical Model Criticism

Misspecification-robust Sequential Neural Likelihood

Rapid parameter estimation for pulsar-timing-array datasets with
  variational inference and normalizing flows


From Louvain to Leiden: guaranteeing well-connected communities

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells

The immune landscape of human thymic epithelial tumors


Analysis and Visualization of Ribosome Profiling Data

A tRNA modification balances carbon and nitrogen metabolism by regulating phosphate homeostasis

riboviz: analysis and visualization of ribosome profiling datasets

Ribosomal stalk proteins RPLP1 and RPLP2 promote biogenesis of flaviviral and cellular multi-pass transmembrane proteins

The LIN28B–IMP1 post-transcriptional regulon has opposing effects on oncogenic signaling in the intestine


Chromatin contact paired-read single-cell Hi-C processing module for Nuc3D and NucTools

Calculation of 3D genome structures for comparison of chromosome conformation capture experiments with microscopy: An evaluation of single-cell Hi-C protocols

SCL: a lattice-based approach to infer 3D chromosome structures from single-cell Hi-C data

Live-cell three-dimensional single-molecule tracking reveals modulation of enhancer dynamics by NuRD

Enhancer-promoter interactions are reconfigured through the formation of long-range multiway hubs as mouse ES cells exit pluripotency


Reinforcement learning algorithms in RLlib

When to Trust Your Model: Model-Based Policy Optimization

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling

How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization


building and fitting one & two body astrometric tracks

Astrometric Identification of Nearby Binary Stars I: Predicted Astrometric Signals

Binary parameters from astrometric and spectroscopic errors – candidate hierarchical triples and massive dark companions in Gaia DR3

A possible nearby microlensing stellar remnant hiding in Gaia DR3 astrometry

Uncovering the Invisible: A Study of Gaia18ajz, a Candidate Black Hole
  Revealed by Microlensing


Calculating ROUGE score between two files (line-by-line)

Lite Transformer with Long-Short Range Attention

100,000 Podcasts: A Spoken English Document Corpus

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

Mask Attention Networks: Rethinking and Strengthen Transformer

Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization

Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models

Length-controllable Abstractive Summarization by Guiding with Summary Prototype

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Learning Opinion Summarizers by Selecting Informative Reviews


source code for google earth engine mapping routines

Mapping the world's coral reefs using a global multiscale earth observation framework

Remote Sensing in Ecology and Conservation

Reef Cover, a coral reef classification for global habitat mapping from remote sensing

Reef Cover: a coral reef classification to guide global habitat mapping from remote sensing

Cloud Processing for Simultaneous Mapping of Seagrass Meadows in Optically Complex and Varied Water


A python package designed to run numerical simulations of galactic chemical evolution

The Impact of Starbursts on Element Abundance Ratios

The cosmic carbon footprint of massive stars stripped in binary systems


snipit: summarise snps relative to your reference sequence

Phylogenomic characterization and signs of microevolution in the 2022 multi-country outbreak of monkeypox virus

Generation and transmission of interlineage recombinants in the SARS-CoV-2 pandemic

Virological characteristics of the SARS-CoV-2 XBB variant derived from recombination of two Omicron subvariants

Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape

Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection

medRxiv : the preprint server for health sciences

Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America

Viral Kinetics of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Omicron Infection in mRNA-Vaccinated Individuals Treated and Not Treated with Nirmatrelvir-Ritonavir

Global Distribution of mcr Gene Variants in 214K Metagenomic Samples

Comparative Analysis of Emerging B.1.1.7+E484K SARS-CoV-2 Isolates

Genomics-informed outbreak investigations of SARS-CoV-2 using civet


Sandia National Laboratories' Albany multiphysics code

Predicting the mechanical response of oligocrystals with deep learning

MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

Zenodo (CERN European Organization for Nuclear Research)

Machine learning models of plastic flow based on representation theory

On the Scalability of the Albany/FELIX first-order Stokes Approximation ice Sheet Solver for Large-Scale Simulations of the Greenland and Antarctic ice Sheets

Mesh-based graph convolutional neural networks for modeling materials with microstructure

GRINS: A Multiphysics Framework Based on the libMesh Finite Element Library

Comparison of dislocation density tensor fields derived from discrete dislocation dynamics and crystal plasticity simulations of torsion

An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions

The IMA volumes in mathematics and its applications


The Termination Problem Database

Proving Non-Termination and Lower Runtime Bounds with LoAT (System Description)

Improving Automatic Complexity Analysis of Integer Programs

Improving Dependency Tuples for Almost-Sure Innermost Termination of Probabilistic Term Rewriting

Targeting Completeness: Using Closed Forms for Size Bounds of Integer Programs

Automatic Complexity Analysis of Integer Programs via Triangular Weakly Non-Linear Loops

Proving Termination of C Programs with Lists

A Dependency Pair Framework for Relative Termination of Term Rewriting


Short Read Connector (SRC)

A de novo approach to disentangle partner identity and function in holobiont systems

A resource-frugal probabilistic dictionary and applications in bioinformatics

Minimal perfect hash functions in large scale bioinformatics Problem


Minterpy - Multivariate interpolation in Python.

Extraction of the frequency moments of spectral densities from imaginary-time correlation function data

Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions

Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power

Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces

High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations


Open source Emoticons and Emoji detection library: emot

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Leveraging Multilingual Transformers for Hate Speech Detection

Assessing Canadians Health Activity and Nutritional Habits Through Social Media

Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling

One to rule them all: Towards Joint Indic Language Hate Speech Detection

Perspectives of Non-Expert Users on Cyber Security and Privacy: An Analysis of Online Discussions on Twitter

Efficient Twitter Data Cleansing Model for Data Analysis of the Pandemic Tweets

Studies in systems, decision and control

Demonstrating the Reliability of Self-Annotated Emotion Data

Workshop on Computational Linguistics and Clinical Psychology

Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot's Self-Disclosure in Conversational Recommendations

CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets

Empirical Methods in Natural Language Processing


Continuum modelling for electrochemical devices.


Brain extraction in presence of abnormalities, using single and multiple MRI modalities

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESENCE OF DIFFUSE GLIOMA: A MULTI-INSTITUTIONAL STUDY


The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

Learning to Represent Programs with Graphs

Learning Syntactic Program Transformations from Examples

A General Path-Based Representation for Predicting Program Properties

Towards the quality improvement of cross-platform mobile applications

Software Module Clustering: An In-Depth Literature Analysis

Cross-language code search using static and dynamic analyses

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

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

Automated Isolation for White-box Test Generation

Tolerant parsing with a special kind of "Any" symbol: the algorithm and practical application

Труды Института системного программирования РАН

Modelling of Language Syntax and Semantics: The Case of the Assembler Compiler.


Detect model's attention

RISE: Randomized Input Sampling for Explanation of Black-box Models

B-cos Networks: Alignment is All We Need for Interpretability

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism

How explainable are adversarially-robust CNNs?

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

Poly-CAM: High resolution class activation map for convolutional neural networks

Information-Theoretic Visual Explanation for Black-Box Classifiers

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound


[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

ModelScope Text-to-Video Technical Report


New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Schedule-Robust Online Continual Learning

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation


Accurate microsatellite genotypes from high-throughput resequencing data

Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

ZDHHC3 as a Risk and Mortality Marker for Breast Cancer in African American Women

Abundance of ethnically biased microsatellites in human gene regions


flow-merge is a powerful Python library that enables seamless merging of multiple transformer-based language models using the most popular merge methods such as model soups, SLERP, ties-MERGING or DARE.

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Editing Models with Task Arithmetic

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

TIES-Merging: Resolving Interference When Merging Models


Detecting and Correcting for Label Shift with Black Box Predictors

B-tests: Low Variance Kernel Two-Sample Tests

FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test


Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028  See also http://www.ioexplorer.org for interactive visuallization

Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

Targeting TMEM176B Enhances Antitumor Immunity and Augments the Efficacy of Immune Checkpoint Blockers by Unleashing Inflammasome Activation

Identification of 15 lncRNAs Signature for Predicting Survival Benefit of Advanced Melanoma Patients Treated with Anti-PD-1 Monotherapy

Identification and Validation in a Novel Quantification System of Ferroptosis Patterns for the Prediction of Prognosis and Immunotherapy Response in Left- and Right-Sided Colon Cancer

Multi-modal molecular programs regulate melanoma cell state

Multimodal immunogenomic biomarker analysis of tumors from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab


Constituency parser for English and Chinese, built on the RNNG and In-Order parsers with BERT

Recurrent Neural Network Grammars

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Cross-Domain Generalization of Neural Constituency Parsers

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022


E2E NLG Challenge Evaluation metrics

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

The E2E Dataset: New Challenges For End-to-End Generation

Large Language Models Can Be Strong Differentially Private Learners

Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Learning Neural Templates for Text Generation

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity

Template Guided Text Generation for Task-Oriented Dialogue

Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast

Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models


I provide a python package for transformations between WD photometry (Gaia, SDSS, WISE, and many more) and physical parameters, based on interpolation of existing atmosphere grid and cooling models. If you use this tool, please cite this website and the corresponding papers of atmosphere grid (synthetic colors) and cooling models.

Carbon star formation as seen through the non-monotonic initial–final mass relation

Masses of White Dwarf Binary Companions to Type Ia Supernovae Measured from Runaway Velocities

Hyper-runaway and hypervelocity white dwarf candidates in Gaia Data Release 3: Possible remnants from Ia/Iax supernova explosions or dynamical encounters

Triage of the Gaia DR3 astrometric orbits. II. A census of white dwarfs


Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model

Mapping forest canopy height globally with spaceborne lidar

Journal of Geophysical Research Atmospheres

A high‐accuracy map of global terrain elevations

A Comparison of Machine Learning Approaches to Improve Free Topography Data for Flood Modelling


Reliability diagrams visualize whether a classifier model needs calibration

On Calibration of Modern Neural Networks

Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions

SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning


Hierarchically Clustered Representation Learning

Joint Optimization of an Autoencoder for Clustering and Embedding

Clustering Images by Unmasking - A New Baseline


AMASS: Archive of Motion Capture as Surface Shapes

Learning Fashion Compatibility with Bidirectional LSTMs

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Imbalanced Deep Learning by Minority Class Incremental Rectification

Deep Human Parsing with Active Template Regression

IEEE transactions on pattern analysis and machine intelligence

Image Aesthetic Assessment: An Experimental Survey

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

Fashion Landmark Detection in the Wild

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images


Implementation of Graph Convolutional Networks in TensorFlow

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Deep Learning on Graphs: A Survey

Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity


Eclipsing binary models

Centroid vetting of transiting planet candidates from the Next Generation Transit Survey

Monthly Notices of the Royal Astronomical Society

Four New Eclipsing Mid M-dwarf Systems from the New Luyten Two Tenths Catalog

Eclipsing Binaries in the Open Cluster Ruprecht 147. I. EPIC 219394517

Absolute Dimensions of the Eccentric Eclipsing Binary V541 Cygni

The Quadruple-lined, Doubly Eclipsing System V482 Persei

A Low-mass, Pre-main-sequence Eclipsing Binary in the 40 Myr Columba Association—Fundamental Stellar Parameters and Modeling the Effect of Star Spots

The complex dynamical past and future of double eclipsing binary CzeV343: Misaligned orbits and period resonance

G 68-34: A Double-lined M-dwarf Eclipsing Binary in a Hierarchical Triple System


Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.

Attention Is All You Need

Semi-supervised Multitask Learning for Sequence Labeling

Jointly Learning to Label Sentences and Tokens

Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels


Learned Primal-Dual Reconstruction

Learned Primal-Dual Reconstruction

Learned convex regularizers for inverse problems

Learning to solve inverse problems using Wasserstein loss

End-to-end reconstruction meets data-driven regularization for inverse problems


Video/Image Labeling and Annotation Tool

SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water

A Fast and Accurate Real-Time Vehicle Detection Method Using Deep Learning for Unconstrained Environments

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Memory Maps for Video Object Detection and Tracking on UAVs

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

Gaze-based Object Detection in the Wild

SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry


Liquid Prep offers an end-to-end solution for farmers looking to optimize their water usage, especially during times of drought.


Parse NCBI taxonomy and accessions to find taxonomic assignments

Genomic dissection of an extended phenotype: Oak galling by a cynipid gall wasp

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

Mycorrhizal benefits on plant growth and protection againstSpodoptera exiguadepend on N availability

A Novel Primer Mixture for GH48 Genes: Quantification and Identification of Truly Cellulolytic Bacteria in Biogas Fermenters

LukProt: A database of eukaryotic predicted proteins designed for investigations of animal origins


Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)

Self-supervised learning of a facial attribute embedding from video

Unsupervised Learning of Face Representations


MoviE Text Audio QA (MetaQA): a benchmark dataset for question answering

SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning

Querying Knowledge via Multi-Hop English Questions

Theory and Practice of Logic Programming

Constructing a Knowledge Graph from Unstructured Documents without External Alignment.


Deep Generalized Method of Moments for Instrumental Variable Analysis

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Maximum Moment Restriction for Instrumental Variable Regression

Instrumental variable regression via kernel maximum moment loss

Causal Gradient Boosting: Boosted Instrumental Variable Regression

Instrumental Variables in Causal Inference and Machine Learning: A Survey


An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts

Ularcirc: visualization and enhanced analysis of circular RNAs via back and canonical forward splicing

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

International journal of molecular sciences

Ularcirc: Visualisation and enhanced analysis of circular RNAs via back and canonical forward splicing


Dynamic Network Embedding by Modeling Triadic Closure Process

Representation Learning for Dynamic Graphs: A Survey

Dynamic Network Embedding Survey

Node Embedding over Temporal Graphs

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

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Subset Node Representation Learning over Large Dynamic Graphs

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation

Robust Dynamic Network Embedding via Ensembles

Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling


Project for CVPR21 paper: "A Multi-Task Network for Joint Specular Highlight Detection and Removal".

SpecSeg Network for Specular Highlight Detection and Segmentation in Real-World Images

Highlight Removal Emphasizing Detail Restoration


PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Handling Distribution Shifts on Graphs: An Invariance Perspective

Local Augmentation for Graph Neural Networks

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Tree Decomposed Graph Neural Network

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Hierarchical message-passing graph neural networks

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

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


a tool for calcualting character n-gram F score

chrF++: words helping character n-grams

Proceedings of the Second Conference on Machine Translation

Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

DialSummEval: Revisiting Summarization Evaluation for Dialogues

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Revisiting Round-Trip Translation for Quality Estimation

Unsupervised Neural Machine Translation for English and Manipuri

A Large-Scale Study of Machine Translation in the Turkic Languages

Character-level Transformer-based Neural Machine Translation


The code for "Improved Deep Leakage from Gradients" (iDLG).

iDLG: Improved Deep Leakage from Gradients

Dataset Condensation with Gradient Matching

User-Level Label Leakage from Gradients in Federated Learning

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

Recover User’s Private Training Image Data by Gradient in Federated Learning


[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation


ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)

Adversarially Regularized Autoencoders

TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation


using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Computational Approaches and Challenges in Spatial Transcriptomics

基因组蛋白质组与生物信息学报

Analysis and Visualization of Spatial Transcriptomic Data


Pytorch implementation of CosFace

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Practical No-box Adversarial Attacks against DNNs

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Robust Attacks on Deep Learning Face Recognition in the Physical World


The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning


A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy


Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

Prediction of Organic Reaction Outcomes Using Machine Learning

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models

A Generative Model For Electron Paths

Graph-based Molecular Representation Learning

Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model

Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


Sample LDP implementation in Python

Estimating Numerical Distributions under Local Differential Privacy

Locally Differentially Private Frequency Estimation with Consistency

Improving Utility and Security of the Shuffler-based Differential Privacy

Differentially Private Vertical Federated Clustering

Differential Privacy: What is all the noise about?

Towards a Practical Differentially Private Collaborative Phone Blacklisting System


sam2pairwise takes a SAM file and uses the CIGAR and MD tag to reconstruct the pairwise alignment of each read.

High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9

BrownieAligner: accurate alignment of Illumina sequencing data to de Bruijn graphs

ampliconDIVider: detection of CRISPR-induced variants in PCR amplicons


Conservative Q-Learning for Offline Reinforcement Learning

Critic Regularized Regression

Offline Prioritized Experience Replay

Improving and Benchmarking Offline Reinforcement Learning Algorithms


Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.


[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

Contextually Plausible and Diverse 3D Human Motion Prediction

HumanMAC: Masked Motion Completion for Human Motion Prediction

Likelihood-Based Diverse Sampling for Trajectory Forecasting


Artwork containing people for academic use only

You Only Look Once: Unified, Real-Time Object Detection

Detecting People in Artwork with CNNs

The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs


PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution (ACMMM 2024)

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network

Text Image Inpainting via Global Structure-Guided Diffusion Models


Japanese--Russian--English News Commentary Parallel Data

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Overview of the 6th Workshop on Asian Translation

Pacific Asia Conference on Language, Information and Computation

Overview of the 7th Workshop on Asian Translation

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation


significance testing over interval overlaps

Rapid evolution of piRNA clusters in theDrosophila melanogasterovary

bioRxiv : the preprint server for biology

The nuclear receptor ERβ engages AGO2 in regulation of gene transcription, RNA splicing and RISC loading

CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencing


[ICCV 2021 Oral] Deep Evidential Action Recognition

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition


Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer

Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline

Dissecting order amidst chaos of programmed cell deaths: construction of a diagnostic model for KIRC using transcriptomic information in blood-derived exosomes and single-cell multi-omics data in tumor microenvironment

Sibling chimerism among microglia in marmosets

scCensus: Off-target scRNA-seq reads reveal meaningful biology


This is Pytorch Implementation of Google's Non-attentive Tacotron.

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables


The data and code for NumerSense (EMNLP2020)

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Crystal: Introspective Reasoners Reinforced with Self-Feedback

Tailoring Self-Rationalizers with Multi-Reward Distillation


Unsupervised Cross-lingual Representation Learning for Speech Recognition

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Unsupervised Speech Recognition

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset


Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction

International Conference on Computational Linguistics

Tackling Graphical NLP problems with Graph Recurrent Networks


Linear kinetic theory propagator for initial conditions of heavy ion collisions

Matching the non-equilibrium initial stage of heavy ion collisions to hydrodynamics with QCD kinetic theory

Proceedings of XIII Quark Confinement and the Hadron Spectrum — PoS(Confinement2018)

Hydrodynamic Attractors, Initial State Energy, and Particle Production in Relativistic Nuclear Collisions

Hydrodynamization and nonequilibrium Green’s functions in kinetic theory

Entropy production in pp and Pb-Pb collisions at the LHC

Pre-equilibrium photons from the early stages of heavy-ion collisions

Initial conditions for nuclear collisions: theory overview

Scaling of pre-equilibrium dilepton production in QCD Kinetic Theory

Early time dynamics and hard probes in heavy-ion collisions


[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

Inductive Relation Prediction by Subgraph Reasoning

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding

Findings of the Association for Computational Linguistics: ACL 2023


Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

YORC: Yoruba Reading Comprehension dataset


[ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Learning to Answer Visual Questions from Web Videos

Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering


BioELMo is a biomedical version of embeddings from language model (ELMo), pre-trained on PubMed abstracts.

Probing Biomedical Embeddings from Language Models

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

Improving Medical NLI Using Context-Aware Domain Knowledge

Joint Conference on Lexical and Computational Semantics


Fast Multipole Method (FMM) library in R^2

A fast integral equation method for the two-dimensional Navier-Stokes equations

Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects

Conformal Mapping via a Density Correspondence for the Double-Layer Potential

Simulation of Multiscale Hydrophobic Lipid Dynamics via Efficient Integral Equation Methods

Spectrally accurate solutions to inhomogeneous elliptic PDE in smooth geometries using function intension

An FMM Accelerated Poisson Solver for Complicated Geometries in the Plane using Function Extension

Numerical computation of the roots of Mandelbrot polynomials: an experimental analysis


Pytorch implementation of the MAC-Network

Compositional Attention Networks for Machine Reasoning

Guiding Visual Question Answering with Attention Priors


Jailbreaking Black Box Large Language Models in Twenty Queries

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware
  Decoding

Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes

Fast Adversarial Attacks on Language Models In One GPU Minute

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Protecting Your LLMs with Information Bottleneck

Enhancing the Capability and Robustness of Large Language Models through
  Reinforcement Learning-Driven Query Refinement


This repository includes the code to reproduce our paper "Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation".

Improving Short Utterance Anti-Spoofing with AASIST2

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Audio Anti-Spoofing Detection: A Survey


PatchAttack (ECCV 2020)

Adversarial Patch

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks


Decoupled Weight Decay Regularization

Cyclical Learning Rates for Training Neural Networks

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Efficient Neural Audio Synthesis

End-to-end music source separation: is it possible in the waveform domain?


Bayesian Jenaer software

Effective-one-body waveforms for precessing coalescing compact binaries with post-Newtonian twist

Bayesian inference of multimessenger astrophysical data: Methods and applications to gravitational waves

Constraints on the Maximum Densities of Neutron Stars from Postmerger Gravitational Waves with Third-Generation Observations

Kilohertz Gravitational Waves From Binary Neutron Star Mergers: Numerical-relativity Informed Postmerger Model

Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Kilohertz Gravitational Waves from Binary Neutron Star Mergers: Inference of Postmerger Signals with the Einstein Telescope

Numerical-Relativity-Informed Effective-One-Body model for Black-Hole-Neutron-Star Mergers with Higher Modes and Spin Precession

Pre/Post-Merger Consistency Test for Gravitational Signals from Binary Neutron Star Mergers


This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units


This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration

Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning

Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring


EVAR ~ Evaluation package for Audio Representations

Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework

M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation


PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Wide Activation for Efficient and Accurate Image Super-Resolution

Active weighted mapping-based residual convolutional neural network for image classification


Reinforcement Learning via Latent State Decoding

Provably efficient RL with Rich Observations via Latent State Decoding

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning


AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy


R Package for Aligned Rank Transform for Nonparametric Factorial ANOVAs

Oscillatory brain activity in spontaneous and induced sleep stages in flies

Anodal tDCS over the primary motor cortex improves motor imagery benefits on postural control: A pilot study

Fine root production in a chronosequence of mature reforested mangroves.

Resource and dependency based test case generation for RESTful Web services

Robust DNA protocols for tropical soils

Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions

Anti-noise window: Subjective perception of active noise reduction and effect of informational masking

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

Communication of Uncertainty about Preliminary Evidence and the Spread of Its Inferred Misinformation during the COVID-19 Pandemic—A Weibo Case Study

International journal of environmental research and public health

Underwater drones reveal different fish community structures on the steep slopes of a tropical reservoir


Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient
  Inference


Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Graph Neural Network for Traffic Forecasting: A Survey

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Graph Neural Rough Differential Equations for Traffic Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks


Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

graph2vec: Learning Distributed Representations of Graphs

Anonymous Walk Embeddings

Learning distributed representations of graphs with Geo2DR

Contrastive Graph Few-Shot Learning


PyKNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for high-throughput image annotation of 3D electron microscopy stacks of brain tissue. https://www.ariadne.ai

Whitening of odor representations by the wiring diagram of the olfactory bulb

Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain

3-dimensional electron microscopic imaging of the zebrafish olfactory bulb and dense reconstruction of neurons

Methods for Mapping Neuronal Activity to Synaptic Connectivity: Lessons From Larval Zebrafish

Dense skeleton reconstructions of neurons in the larval zebrafish olfactory bulb

Zenodo (CERN European Organization for Nuclear Research)


Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature

Gaussian Process Quadrature Moment Transform

Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise

On the use of gradient information in Gaussian process quadratures

International Workshop on Machine Learning for Signal Processing

Improved Calibration of Numerical Integration Error in Sigma-Point Filters


ImageJ plugin detecting and colocalizing particles of given size (vesicles, dots, etc on biological microscopy images)

Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer’s disease mouse models

The HAUS Complex Is a Key Regulator of Non-centrosomal Microtubule Organization during Neuronal Development

Single-Molecule FISH Reveals Non-selective Packaging of Rift Valley Fever Virus Genome Segments

Kinesin-4 KIF21B is a potent microtubule pausing factor

Pyrrole Hemithioindigo Antimitotics with Near-Quantitative Bidirectional Photoswitching Photocontrol Cellular Microtubule Dynamics with Single-Cell Precision

Meiotic cohesins mediate initial loading of HORMAD1 to the chromosomes and coordinate SC formation during meiotic prophase

Designing a chemical inhibitor for the AAA protein spastin using active site mutations

Modular antibodies reveal DNA damage-induced mono-ADP-ribosylation as a second wave of PARP1 signaling

Integrin Binding Dynamics Modulate Ligand-Specific Mechanosensing in Mammary Gland Fibroblasts

Heteromeric clusters of ubiquitinated ER-shaping proteins drive ER-phagy


inferring RBP binding sites and motifs using local and global CNNs

Densely Connected Convolutional Networks

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data

Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type

International journal of molecular sciences


Implementation of Combat harmonization method with scikit-learn compatible format

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

Individual variation underlying brain age estimates in typical development

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression


Learning Chinese Word Representations From Glyphs Of Characters

VCWE: Visual Character-Enhanced Word Embeddings

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


A micro-benchmark suite to assess the effectiveness of tools designed for IoT apps

TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems

HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps

VISCR: Intuitive & Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures.

A Mutation Framework for Evaluating Security Analysis tools in IoT Applications

VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime


ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

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

Teaching Machines to Read and Comprehend

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

A BERT-based Dual Embedding Model for Chinese Idiom Prediction


Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Local Augmentation for Graph Neural Networks

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Data Augmentation for Graph Data: Recent Advancements

Graph Attention Networks with LSTM-based Path Reweighting.

Customizing Graph Neural Networks using Path Reweighting

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation


UNFCCC Emissions data from the Detailed Data By Party interface


Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Hindsight Experience Replay

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


Language Model based sentences scoring library

Data-to-Text Generation with Iterative Text Editing

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

Zero-shot hashtag segmentation for multilingual sentiment analysis

Ask to Understand: Question Generation for Multi-hop Question Answering

Small Model and In-Domain Data Are All You Need


Practical Lossless Compression with Latent Variables using Bits Back Coding

Lossless Compression with Latent Variable Models

Compressing Multisets with Large Alphabets


A toolbox for working with Allen Human Brain Atlas microarray expression data

Topographic gradients of intrinsic dynamics across neocortex

Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology

Transcriptional and cellular signatures of cortical morphometric remodelling in chronic pain

Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression

P.0276 Cellular and molecular signatures of in vivo gabaergic neurotransmission in the human brain

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

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Morphometric similarity network alterations in COVID-19 survivors correlate with behavioral features and transcriptional signatures

Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles


PhyloSuite is an integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies

Using PhyloSuite for molecular phylogeny and tree‐based analyses

Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence

The First Five Mitochondrial Genomes for the Family Nidulariaceae Reveal Novel Gene Rearrangements, Intron Dynamics, and Phylogeny of Agaricales

Morphological and molecular analyses reveal two new species of Gibellula (Cordycipitaceae, Hypocreales) from China

Identification and Biological Characteristics of Mortierella alpina Associated with Chinese Flowering Cherry (Cerasus serrulata) Leaf Blight in China


Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency

Provably Robust Score-Based Diffusion Posterior Sampling for
  Plug-and-Play Image Reconstruction

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

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


Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

RetroGraph: Retrosynthetic Planning with Graph Search

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


Hierarchical Gating Networks for Sequential Recommendation

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

HAM: Hybrid Associations Models for Sequential Recommendation

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation


A high-performance Atari A3C agent in 180 lines of PyTorch

Self-Net: Lifelong Learning via Continual Self-Modeling

Learning rewards from exploratory demonstrations using probabilistic temporal ranking

Learning to Identify Critical States for Reinforcement Learning from Videos

The Impact of Negative Sampling on Contrastive Structured World Models

Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking


Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning

Calibrating Reasoning in Language Models with Internal Consistency


ITAコーパスの文章リスト

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

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

JVNV: A Corpus of Japanese Emotional Speech with Verbal Content and Nonverbal Expressions

MID-Attribute Speaker Generation Using Optimal-Transport-Based Interpolation of Gaussian Mixture Models

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


Identifying and removing near-duplicate images using perceptual hashing.

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild

CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication


[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation

Water extraction from optical high-resolution remote sensing imagery: a multi-scale feature extraction network with contrastive learning


GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


Democratizing Domain-Specific Computing

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks

Allo: A Programming Model for Composable Accelerator Design

Proceedings of the ACM on Programming Languages


A C++ based quantum transpiler for NISQ devices

Quantum computing with Qiskit

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis


Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Deep Feature Consistent Variational Autoencoder

Weakly-Supervised Disentanglement Without Compromises

Disentanglement of Correlated Factors via Hausdorff Factorized Support

TVAE: Triplet-Based Variational Autoencoder using Metric Learning

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement


Craft poisoned data using MetaPoison

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

MetaPoison: Practical General-purpose Clean-label Data Poisoning

CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Tools for Insteon RF

Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning

Physical Layer-Based IoT Security: An Investigation Into Improving Preamble-Based SEI Performance When Using Multiple Waveform Collections


Awesome things about domain generalization, including papers, code, etc.

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

Playing for Data: Ground Truth from Computer Games

Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization

Domain Generalization via Feature Variation Decorrelation

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

Learning Transferrable and Interpretable Representations for Domain Generalization


a toolbox for metabolomic data analysis, visualization and ‘omic’ integration

Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data

Metabolomics: A Way Forward for Crop Improvement

Plants Metabolome Study: Emerging Tools and Techniques

Advances in metabolome information retrieval: turning chemistry into biology. Part II: biological information recovery


Application to assign secondary structure to proteins

Residue Folding Degree—Relationship to Secondary Structure Categories and Use as Collective Variable

Cellular targets and lysine selectivity of the HERC5 ISG15 ligase


Distilling Knowledge via Knowledge Review, CVPR 2021

Knowledge Distillation via the Target-aware Transformer

Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization


Slender-body hydrodynamics

Integral-based spectral method for inextensible slender fibers in Stokes flow

Hydrodynamics of a twisting, bending, inextensible fiber in Stokes flow

Slender body theories for rotating filaments

Bending fluctuations in semiflexible, inextensible, slender filaments in Stokes flow: Toward a spectral discretization


X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Taming Pretrained Transformers for Extreme Multi-label Text Classification

A Survey on Extreme Multi-label Learning


An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.

Improved local search for graph edit distance

New Techniques for Graph Edit Distance Computation

Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing

Upper Bounding Graph Edit Distance Based on Rings and Machine Learning

International journal of pattern recognition and artificial intelligence

Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning

Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching


The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments

Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms

Introducing Explicit Gaze Constraints to Face Swapping


Reduction and analysis code for the VLT/SPHERE instrument

SPHERE: the exoplanet imager for the Very Large Telescope

Constraining the Nature of the PDS 70 Protoplanets with VLTI/GRAVITY

Perturbers: SPHERE detection limits to planetary-mass companions in protoplanetary disks

Direct imaging discovery of a super-Jovian around the young Sun-like star AF Leporis

Reference-star differential imaging on SPHERE/IRDIS

Revisiting the atmosphere of the exoplanet 51 Eridani b with VLT/SPHERE

Most EL CVn systems are inner binaries of hierarchical triples

Monthly Notices of the Royal Astronomical Society: Letters

The white dwarf binary pathways survey – VII. Evidence for a bi-modal distribution of post-mass transfer systems?

The high-albedo, low polarization disk around HD 114082 harbouring a Jupiter-sized transiting planet

High-contrast, high-angular resolution view of the GJ 367 exoplanet system

Monthly notices of the Royal Astronomical Society


The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

GAIA: a benchmark for General AI Assistants

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models


Adds gCO2eq emissions to nvidia-smi.


Keras implementation of GradCAM.

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

International Journal of Computer Vision

Striving for Simplicity: The All Convolutional Net

Presentation Attack Detection for Cadaver Iris


Optimize energy assets using mixed-integer linear programming


An SDK for multi-agent collaborative perception.

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Learning Distilled Collaboration Graph for Multi-Agent Perception

When2com: Multi-Agent Perception via Communication Graph Grouping

Who2com: Collaborative Perception via Learnable Handshake Communication

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception


High dimensional weighted gene co-expression network analysis

A paracrine circuit of IL-1β/IL-1R1 between myeloid and tumor cells drives genotype-dependent glioblastoma progression

A vein wall cell atlas of murine venous thrombosis determined by single-cell RNA sequencing

Single-Cell Transcriptomic Profiles of Lung Pre-Metastatic Niche Reveal Neutrophil and Lymphatic Endothelial Cell Roles in Breast Cancer


Practical Federated Gradient Boosting Decision Trees

Privacy-Preserving Gradient Boosting Decision Trees

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems


TrackNTrace is an open source MATLAB framework for single molecule localization, tracking, and super-resolution applications written by Simon Christoph Stein and Jan Thiart from the University of Goettingen.

TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms

Fluorescence lifetime DNA-PAINT for multiplexed super-resolution imaging of cells

Single-Molecule Fluorescence Lifetime Imaging Using Wide-Field and Confocal-Laser Scanning Microscopy: A Comparative Analysis

Advanced Data Analysis for Fluorescence-Lifetime Single-Molecule Localization Microscopy


Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

DANE: Domain Adaptive Network Embedding


Learning Dynamic Belief Graphs to Generalize on Text-Based Games

Learning to Follow Instructions in Text-Based Games


an unbias-learning-to-rank dataset of Baidu

A Large Scale Search Dataset for Unbiased Learning to Rank

Whole Page Unbiased Learning to Rank

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's
  Large-Scale Search Dataset


Evaluation framework for oncology foundation models (FMs)

Emerging Properties in Self-Supervised Vision Transformers

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

A General-Purpose Self-Supervised Model for Computational Pathology

Towards Large-Scale Training of Pathology Foundation Models


BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Attention Is All You Need

Longformer: The Long-Document Transformer

Big Bird: Transformers for Longer Sequences

Extend and Explain: Interpreting Very Long Language Models


R package for semi-supervised single-cell data integration

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data

Semi-supervised integration of single-cell transcriptomics data

SPICA: Swiss portal for immune cell analysis


Benchmarking DNA Language Models on Biologically Meaningful Tasks

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

BEND: Benchmarking DNA Language Models on biologically meaningful tasks


A ready-to-go Python toolbox for seismic data analysis

Removing Noise from the Vertical Component Records of Ocean‐Bottom Seismometers: Results from Year One of the Cascadia Initiative

Bulletin of the Seismological Society of America

Amphibious surface-wave phase-velocity measurements of the Cascadia subduction zone

NoisePy: A New High-Performance Python Tool for Ambient-Noise Seismology

Improving ambient noise cross-correlations in the noisy ocean bottom environment of the Juan de Fuca plate

Numerical comparison of time-, frequency- and wavelet-domain methods for coda wave interferometry

SeisNoise.jl: Ambient Seismic Noise Cross Correlation on the CPU and GPU in Julia


Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients


Python 3 support for the MS COCO caption evaluation tools

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Kosmos-2: Grounding Multimodal Large Language Models to the World

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

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation

International Conference on Computational Linguistics

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

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


Fast linear assignment problem (LAP) solvers for Python based on c-extensions

Federated Learning with Matched Averaging

A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction

Novel diffusion-derived distance measures for graphs

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning

A Verifiable Multiparty Computation Solver for the Assignment Problem and Applications to Air Traffic Management


Graph Attention Networks

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Inductive Graph Neural Networks for Spatiotemporal Kriging

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy


A global lake level database


Iterated Kalman methodology for inverse problems

Efficient derivative-free Bayesian inference for large-scale inverse problems

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework

Sampling via Gradient Flows in the Space of Probability Measures

Convergence Analysis of Probability Flow ODE for Score-based Generative
  Models

Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model

Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution


scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication

deCS: A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues

基因组蛋白质组与生物信息学报

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma

Single-cell RNA-seq uncovers distinct pathways and genes in endothelial cells during atherosclerosis progression


Line by line code for radial velocity

New Mass and Radius Constraints on the LHS 1140 Planets: LHS 1140 b Is either a Temperate Mini-Neptune or a Water World

Masses, revised radii, and a third planet candidate in the 'Inverted' planetary system around TOI-1266


Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Lossy Image Compression with Conditional Diffusion Models

Text + Sketch: Image Compression at Ultra Low Rates

Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed
  Image Restoration


This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

Low-Complexity Audio Embedding Extractors

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models


Computational Analysis of Novel Drug Opportunities

cando.py: Open source software for predictive bioanalytics of large scale drug-protein-disease data

Multiscale Virtual Screening Optimization for Shotgun Drug Repurposing Using the CANDO Platform

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html https://www.biorxiv.org/content/10.1101/720458v1

Technology dictates algorithms: Recent developments in read alignment

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

Graphmap2 - splice-aware RNA-seq mapper for long reads


ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs


NeurIPS 2021 - Few-shot learning competition

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Prototypical Networks for Few-shot Learning

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Advances in MetaDL: AAAI 2021 challenge and workshop


iRob Surgical Automation Framework

A DVRK-based Framework for Surgical Subtask Automation

Visual servoing-based camera control for the da Vinci Surgical System

Symposium on Intelligent Systems and Informatics

An Open-Source Framework for Surgical Subtask Automation


Reference-free profiling of polyploid genomes

GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes

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

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

Draft Genome of White-blotched River Stingray Provides Novel Clues for Niche Adaptation and Skeleton Formation

基因组蛋白质组与生物信息学报

Chromosome-level Genome Assembly and Sex-specific Differential Transcriptome of the White-backed Planthopper, Sogatella furcifera

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

bioRxiv : the preprint server for biology


Guess gender from first name in Python 2 and 3

Evaluating Saliency Methods for Neural Language Models

A Bag of Tricks for Dialogue Summarization

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Worldwide Gender Differences in Public Code Contributions and how they have been affected by the COVID-19 pandemic

Proceedings of the 2022 ACM/IEEE 44th International Conference on Software Engineering: Software Engineering in Society

Authorship in top-ranked mathematical and physical journals: Role of gender on self-perceptions and bibliographic evidence

Gender-Related Differences in Online Comment Sections: Findings From a Large-Scale Content Analysis of Commenting Behavior

Bias, Fairness, and Accountability with AI and ML Algorithms

From Asking to Answering: Getting More Involved on Stack Overflow


MAW: a suite on the computation and application of Minimal Absent Words

Linear-time Computation of Minimal Absent Words Using Suffix Array

Alignment-free sequence comparison using absent words

Linear-Time Sequence Comparison Using Minimal Absent Words & Applications

emMAW: computing minimal absent words in external memory

Bacteria classification using minimal absent words


Language Models are Multilingual Chain-of-Thought Reasoners

Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold

Writing System and Speaker Metadata for 2,800+ Language Varieties

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

TaTa: A Multilingual Table-to-Text Dataset for African Languages

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation

GlotScript: A Resource and Tool for Low Resource Writing System Identification


R Client Library for Web Land Trajectory Service


High resolution profiling of pathways of escape for SARS-CoV-2 spike-binding antibodies

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

Phage ImmunoPrecipitation Sequencing (PhIP-Seq): The Promise of High Throughput Serology

phippery: a software suite for PhIP-Seq data analysis

Reconstruction of a polyclonal ADCC antibody repertoire from an HIV-1 non-transmitting mother


A collection of command line tools for working with sequencing data

mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease

VariantQC: a visual quality control report for variant evaluation

Rapid, accurate mapping of transgene integration in viable rhesus macaque embryos using enhanced-specificity tagmentation-assisted PCR

Molecular therapy. Methods & clinical development

A Multifunctional and Highly Adaptable Reporter System for CRISPR/Cas Editing

International journal of molecular sciences


The Eldarica model checker

Exploring interpolants

Competition Report: CHC-COMP-21

Solving non-linear Horn clauses using a linear Horn clause solver

Competition Report: CHC-COMP-20

Tree dimension in verification of constrained Horn clauses

Interpolating bit-vector formulas using uninterpreted predicates and Presburger arithmetic

Commutativity Simplifies Proofs of Parameterized Programs

A Theory of Heap for Constrained Horn Clauses (Extended Technical Report)

An encoding of array verification problems into array-free Horn clauses


Open Energy Outlook for the United States


GO enrichment with python -- pandas meets networkx

GOnet: a tool for interactive Gene Ontology analysis

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis


pycoQC computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller (Albacore/Guppy)

Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome

Selective whole-genome sequencing of Plasmodium parasites directly from blood samples by nanopore adaptive sampling

Genotyping of familial Mediterranean fever gene (MEFV)—Single nucleotide polymorphism—Comparison of Nanopore with conventional Sanger sequencing

Minimal detection and low biological fluctuation of mitochondrial CpG methylation at the single-molecule level

Completing the Puzzle: A Cluster of Hunting Dogs with Tick-Borne Illness from a Fishing Community in Tobago, West Indies


Interface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes


An interactive web-tool for RNA-seq analysis

A chemical biology toolbox to study protein methyltransferases and epigenetic signaling

AgriSeqDB: an online RNA-Seq database for functional studies of agriculturally relevant plant species

Dissecting the RecA-(In)dependent Response to Mitomycin C in Mycobacterium tuberculosis Using Transcriptional Profiling and Proteomics Analyses

Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients

The two-component system WalKR provides an essential link between cell wall homeostasis and DNA replication in Staphylococcus aureus

Heterogeneous Tfh cell populations that develop during enteric helminth infection predict the quality of type 2 protective response


a python package for gravitational wave analysis with the F-statistic

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries

Application of a hierarchical MCMC follow-up to Advanced LIGO continuous gravitational-wave candidates

PyFstat: a Python package for continuous gravitational-wave data analysis

Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic

A semicoherent glitch-robust continuous-gravitational-wave search method


Find, circularise and annotate mitogenome from PacBio assemblies

MitoFinder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics

MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads

marcelauliano/MitoHiFi: mitohifi_v2.0

Semi-automated assembly of high-quality diploid human reference genomes

The USDA-ARS Ag100Pest Initiative: High-Quality Genome Assemblies for Agricultural Pest Arthropod Research

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

The genome sequence of the Large Longhorn, Nematopogon swammerdamella (Linnaeus, 1758)

The genome sequence of the tachinid fly, Epicampocera succincta (Meigen, 1824)

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

The genome sequence of the Common Carder Bee, Bombus pascuorum (Scopoli, 1763)


Library for viewing, augmenting, and handling .pose files

Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition

OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages

Ham2Pose: Animating Sign Language Notation into Pose Sequences

pose-format: Library for Viewing, Augmenting, and Handling .pose Files


orvara: An Efficient Code to Fit Orbits Using Radial Velocity, Absolute, and/or Relative Astrometry

AF Lep b: The lowest-mass planet detected by coupling astrometric and direct imaging data

Asteroseismology of iota Draconis and Discovery of an Additional Long-period Companion

The Masses of a Sample of Radial-velocity Exoplanets with Astrometric Measurements

Surveying nearby brown dwarfs with HGCA: direct imaging discovery of a faint, high-mass brown dwarf orbiting HD 176535 A

The discovery of two new benchmark brown dwarfs with precise dynamical masses at the stellar-substellar boundary

A dynamic view of V Hydrae. Monitoring of a spectroscopic-binary AGB star with an alkaline jet


Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.

Genetic identification of brain cell types underlying schizophrenia

Diversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeq

Regional brain iron and gene expression provide insights into neurodegeneration in Parkinson’s disease

Dystonia genes functionally converge in specific neurons and share neurobiology with psychiatric disorders

Differences in network controllability and regional gene expression underlie hallucinations in Parkinson’s disease

Genes influenced by MEF2C contribute to neurodevelopmental disease via gene expression changes that affect multiple types of cortical excitatory neurons

Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area

An Integrated Genomic Approach to Dissect the Genetic Landscape Regulating the Cell-to-Cell Transfer of α-Synuclein

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into the complex genetic architecture


hecatomb is a virome analysis pipeline for analysis of Illumina sequence data

The human gut virome: composition, colonization, interactions, and impacts on human health

No Evidence Known Viruses Play a Role in the Pathogenesis of Onchocerciasis-Associated Epilepsy. An Explorative Metagenomic Case-Control Study

Hecatomb: an integrated software platform for viral metagenomics


TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.

Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1


Climate data for ForestGEO sites

Warm springs alter timing but not total growth of temperate deciduous trees


Project's architecture documentation


Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.

BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty

QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems

Environmental Science: Water Research & Technology

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies


Your Unified Reader

The Fast Radio Burst FRB 20201124A in a star forming region: constraints to the progenitor and multiwavelength counterparts

The first seven months of the 2020 X-ray outburst of the magnetar SGR J1935+2154

The northern cross fast radio burst project – II. Monitoring of repeating FRB 20180916B, 20181030A, 20200120E, and 20201124A

A broad survey of spectro-temporal properties from FRB 20121102A


Web API to easily access satellite-based emission data


An OpenCL-based photon-tracking simulation using a (source-based) ray tracing algorithm modeling scattering and absorption of light in the deep glacial ice at the South Pole or Mediterranean sea water.

OBSERVATION AND CHARACTERIZATION OF A COSMIC MUON NEUTRINO FLUX FROM THE NORTHERN HEMISPHERE USING SIX YEARS OF ICECUBE DATA

Measurement of Atmospheric Neutrino Oscillations at 6-56 GeV with IceCube DeepCore

Search for sterile neutrino mixing using three years of IceCube DeepCore data

Measurement of Atmospheric tau Neutrino Appearance With Icecube/deepcore

XXVIII International Conference on Neutrino Physics and Astrophysics

Improved Characterization of the Astrophysical Muon–neutrino Flux with 9.5 Years of IceCube Data

Development of an analysis to probe the neutrino mass ordering with atmospheric neutrinos using three years of IceCube DeepCore data

LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

High-energy neutrino transients and the future of multi-messenger astronomy

IceCube-Gen2 - The Next Generation Neutrino Observatory at the South Pole: Contributions to ICRC 2015

Low energy event reconstruction in IceCube DeepCore