Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)

Semantic Image Synthesis with Spatially-Adaptive Normalization

StarGAN v2: Diverse Image Synthesis for Multiple Domains

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection

FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping


PyTorch implementation of DGCNN

State of the Art and Potentialities of Graph-level Learning

Distance metric learning for graph structured data


Adversarially Learned Inference

Adversarially Learned Inference

Mode Regularized Generative Adversarial Networks

PacGAN: The power of two samples in generative adversarial networks

A Classification-Based Study of Covariate Shift in GAN Distributions

Generative Adversarial Parallelization

Semi-supervised image attribute editing using generative adversarial networks


Gene regulatory network reconstruction from pseudotemporal single-cell gene expression data

A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

Network inference with Granger causality ensembles on single-cell transcriptomics

Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data


The Ethereum Smart Contract Fuzzer for Security Vulnerability Detection (ASE 2018)

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Smart Contract Vulnerability Detection Technique: A Survey

Precise Attack Synthesis for Smart Contracts

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

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


R package for WebGestalt

Direct isolation of small extracellular vesicles from human blood using viscoelastic microfluidics

Identification of Osteosarcoma Metastasis-Associated Gene Biomarkers and Potentially Targeted Drugs Based on Bioinformatic and Experimental Analysis

The Rattlesnake W Chromosome: A GC-Rich Retroelement Refugium with Retained Gene Function Across Ancient Evolutionary Strata

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities


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

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Mixed-Precision Neural Networks: A Survey

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


Audio generation using diffusion models, in PyTorch.

Simple and Controllable Music Generation

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Masked Audio Generation using a Single Non-Autoregressive Transformer

ArchiSound: Audio Generation with Diffusion

Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting

VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving
  Zero-Shot Voice Editing


Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Proximal Policy Optimization Algorithms

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning

Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks

Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning

Learning Equational Theorem Proving

Probabilistic Model Checking of Stochastic Reinforcement Learning Policies

HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks

Assessing the Impact of Distribution Shift on Reinforcement Learning
  Performance


Jiagu深度学习自然语言处理工具  知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment

Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese

Workshop on NLP for Similar Languages, Varieties and Dialects


ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information


Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

HUI-Audio-Corpus-German: A high quality TTS dataset

Surfboard: Audio Feature Extraction for Modern Machine Learning

CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

Pheme: Efficient and Conversational Speech Generation

Leveraging Neural Representations for Audio Manipulation


Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Graph-guided random forest for gene set selection

Landscape of R packages for eXplainable Artificial Intelligence

Digital Biomarkers for Personalized Nutrition: Predicting Meal Moments and Interstitial Glucose with Non-Invasive, Wearable Technologies


Energy System Description Language


Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization

Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments

Best Buddies Registration for Point Clouds


MEGAlib - the Medium-Energy Gamma-ray Astronomy library

Calibrations of the Compton Spectrometer and Imager

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

The Future of Gamma-Ray Experiments in the MeV-EeV Range

Performance Evaluation of a silicon-based 6U Cubesat detector for soft γ-ray astronomy

Evaluation of the performance of a CdZnTe-based soft
    γ
-ray detector for CubeSat payloads


For managing 2P imaging datasets from preprocessing to activity trace extraction

Dopamine differentially modulates the size of projection neuron ensembles in the intact and dopamine-depleted striatum

Hippocampal place codes are gated by behavioral engagement

Cognitive experience alters cortical involvement in goal-directed navigation

A cell-type-specific error-correction signal in the posterior parietal cortex

Scaling of information in large neural populations reveals signatures of information-limiting correlations

Cognitive experience alters cortical involvement in navigation decisions


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

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

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

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


Channel management tool for lightning network daemon (LND) operators.

Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network

Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation

Online Admission Control and Rebalancing in Payment Channel Networks


Jupyter notebooks for learning how to use SimpleITK

Image Segmentation, Registration and Characterization in R with SimpleITK

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning


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

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

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Scalable Multi-Agent Model-Based Reinforcement Learning

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

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

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

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Compositional Neural Certificates for Networked Dynamical Systems

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


Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

Learning to Compare: Relation Network for Few-Shot Learning

A Closer Look at Few-shot Classification

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

A Baseline for Few-Shot Image Classification

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Prototype Rectification for Few-Shot Learning

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Transductive Information Maximization For Few-Shot Learning


Annotates variants in MAF with OncoKB annotation.

Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

SMAD4 is critical in suppression of BRAF-V600E serrated tumorigenesis

High Concordance of Genomic Profiles between Primary and Metastatic Colorectal Cancer

International journal of molecular sciences

Respiratory complex and tissue lineage drive mutational patterns in the tumor mitochondrial genome

Mutational landscape and potential therapeutic targets for sporadic pancreatic neuroendocrine tumors based on target next-generation sequencing

Genomic characterization of intracranial teratomas using whole genome sequencing


MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.

DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity

Assembling the Community-Scale Discoverable Human Proteome

Thermal proteome profiling in bacteria: probing protein state in vivo

MS2PIP: a tool for MS/MS peak intensity prediction

Temporal quantitative phosphoproteomics of ADP stimulation reveals novel central nodes in platelet activation and inhibition

Updated MS2PIP web server delivers fast and accurate MS2 peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation

Removing the hidden data dependency of DIA with predicted spectral libraries


Website for Principles of Sustainable Software Engineering


Reinforcement learning algorithms for robot control tasks

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

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


Consolidated switch repo (API, SAI and Nettlink)

Uncovering Bugs in P4 Programs with Assertion-based Verification

P4K: A Formal Semantics of P4 and Applications

Can we exploit buggy P4 programs?

A Case for Data Centre Traffic Management on Software Programmable Ethernet Switches

PROCEEDING OF THE 2019 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET)

Towards Runtime Verification of Programmable Switches

DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems


Search client for the ESGF Search API


R package to simulate neutral landscape models


A Python toolkit for lattice field theory, quantum computing, and machine learning

An update of Euclidean windows of the hadronic vacuum polarization

Pseudo-scalar meson spectral properties in the chiral crossover region of QCD

Grid on QPACE 4

Lattice QCD calculation of the pion distribution amplitude with domain wall fermions at physical pion mass

Isospin 0 and 2 two-pion scattering at physical pion mass using distillation with periodic boundary conditions in lattice QCD

Nonperturbative Collins-Soper Kernel from Chiral Quarks with Physical
  Masses

Systematic Uncertainties from Gribov Copies in Lattice Calculation of
  Parton Distributions in the Coulomb gauge


Large, modern dataset for speech recognition

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning

GigaST: A 10,000-hour Pseudo Speech Translation Corpus

Complex Mapping between Neural Response Frequency and Linguistic Units in Natural Speech

A Full-duplex Speech Dialogue Scheme Based On Large Language Models


Grid-based workflow management system for lattice field theory simulations

Using Gradient Flow to Renormalise Matrix Elements for Meson Mixing and Lifetimes

Inclusive semi-leptonic decays of charmed mesons with Möbius domain wall fermions

BSM B - B̅ mixing on JLQCD and RBC/UKQCD N_f=2+1 DWF ensembles

2+1 flavor fine lattice simulation at finite temperature with domain-wall fermions

K π scattering at physical pion mass using distillation

B Meson Decay Constants Using Relativistic Heavy Quarks


Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy

The Astrophysical Journal Supplement Series

How to Measure Galaxy Star Formation Histories. II. Nonparametric Models

Stellar Flares from the First TESS Data Release: Exploring a New Sample of M Dwarfs

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation

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

Monthly notices of the Royal Astronomical Society

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

An older, more quiescent universe from panchromatic SED fitting of the 3D-HST survey

MOSFiT: Modular Open Source Fitter for Transients

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

TESS Full Orbital Phase Curve of the WASP-18b System


Projections of COVID-19, in standardized format

Evaluating epidemic forecasts in an interval format

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates

The United States COVID-19 Forecast Hub dataset

Interpretable Sequence Learning for COVID-19 Forecasting

Combining probabilistic forecasts of COVID-19 mortality in the United States

European journal of operational research

Inter-Series Attention Model for COVID-19 Forecasting

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Short-term forecasting of COVID-19 in Germany and Poland during the second wave - a preregistered study


A handy guide to financial support for open source

GitHub Sponsors: Exploring a New Way to Contribute to Open Source

Proceedings of the 44th International Conference on Software Engineering

Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group

"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors


Acceptance rates for the major AI conferences

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning

Some Ethical Issues in the Review Process of Machine Learning Conferences


Tools for ggplot2 scales

Leaf shape in Populus tremula is a complex, omnigenic trait

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Emergence of distinct syntenic density regimes is associated with early metazoan genomic transitions

Hunter-gatherer admixture facilitated natural selection in Neolithic European farmers

Multiple decrement life tables of Cephus cinctus Norton (Hymenoptera: Cephidae) across a set of barley cultivars: The importance of plant defense versus cannibalism

Public health interventions successfully mitigated multiple incursions of SARS-CoV-2 Delta variant in the Australian Capital Territory


This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Do Transformers Really Perform Bad for Graph Representation?

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Graph-based Molecular Representation Learning

Inference Attacks Against Graph Neural Networks

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems

Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
  Molecular Graph Classification


Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

Deep Learning on Graphs: A Survey

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation


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


The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.

All one needs to know about fog computing and related edge computing paradigms: A complete survey

IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments

Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit

An In-Depth Review on Blockchain Simulators for IoT Environments

FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos

Proactive Fault Prediction of Fog Devices Using LSTM-CRP Conceptual Framework for IoT Applications

Simulation Tools for Fog Computing: A Comparative Analysis

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Fog Integrated Secured and Distributed Environment for Healthcare Industry with Software Defined Networking

Wasit Journal of Computer and Mathematics Science


Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graph Transformer Networks

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs


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

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

RWKV: Reinventing RNNs for the Transformer Era

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Don't Make Your LLM an Evaluation Benchmark Cheater

OctoPack: Instruction Tuning Code Large Language Models

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition


Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

NBDT: Neural-Backed Decision Trees

NBDT: Neural-Backed Decision Tree

International Conference on Learning Representations

Coarse-to-Fine Curriculum Learning

Dive into Decision Trees and Forests: A Theoretical Demonstration

SONGs: Self-Organizing Neural Graphs

IEEE Workshop/Winter Conference on Applications of Computer Vision


PyTorch implementation and benchmark of Video Compression

DVC: An End-to-end Deep Video Compression Framework

FVC: A New Framework towards Deep Video Compression in Feature Space

Neural Compression-Based Feature Learning for Video Restoration

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression

A Coding Framework and Benchmark towards Low-Bitrate Video Understanding

Low-complexity Deep Video Compression with A Distributed Coding Architecture


[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Restormer: Efficient Transformer for High-Resolution Image Restoration

Multi-Stage Progressive Image Restoration

CycleISP: Real Image Restoration via Improved Data Synthesis

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results


RNA Fusion Detection and Quantification

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

LongGF: computational algorithm and software tool for fast and accurate detection of gene fusions by long-read transcriptome sequencing

MEG3 Expression Indicates Lymph Node Metastasis and Presence of Cancer-Associated Fibroblasts in Papillary Thyroid Cancer

Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma


Visualize and perform a multitude of operations on newick files

Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?

CeLaVi: An Interactive Cell Lineage Visualisation Tool

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

Transcriptome Sequencing of the Striped Cucumber Beetle, Acalymma vittatum (F.), Reveals Numerous Sex-Specific Transcripts and Xenobiotic Detoxification Genes


Pytorch implementation of β-VAE

Understanding disentangling in β-VAE

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Unpaired Image-to-Image Translation via Latent Energy Transport

Understanding Instance-based Interpretability of Variational Auto-Encoders

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Compositional Image Decomposition with Diffusion Models


Learning Type-Aware Embeddings for Fashion Compatibility

Conditional Similarity Networks

Attention-based Fusion for Outfit Recommendation

Supporting stylists by recommending fashion style


View synthesis for the public.

SynSin: End-to-end View Synthesis from a Single Image

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

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

Layout-Guided Novel View Synthesis from a Single Indoor Panorama

Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis


MEGAN Community Edition

MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data

A Metagenomic Approach to Cyanobacterial Genomics

Collapse of the mammoth-steppe in central Yukon as revealed by ancient environmental DNA

Can bugs be an alternative or adjuvant to drugs in schizophrenia?

Journal of Applied Pharmaceutical Sciences


ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

ARCNN framework for multimodal infodemic detection

Neural networks : the official journal of the International Neural Network Society

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities


Mapping Alternative Splicing Events to pRoteins

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

PRMT5 regulates ATF4 transcript splicing and oxidative stress response

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Transcriptome, Spliceosome and Editome Expression Patterns of the Porcine Endometrium in Response to a Single Subclinical Dose of Salmonella Enteritidis Lipopolysaccharide

H3.3-G34W in giant cell tumor of bone functionally aligns with the exon choice repressor hnRNPA1L2


zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Binary grey wolf optimization approaches for feature selection

An improved Dragonfly Algorithm for feature selection

Binary Harris Hawks Optimizer for High-Dimensional, Low Sample Size Feature Selection

EVOLUTIONARY MACHINE LEARNING TECHNIQUES: ALGORITHMS AND APPLICATIONS

Feature selection through gravitational search algorithm

International Conference on Acoustics, Speech, and Signal Processing

Overview of Particle Swarm Optimisation for Feature Selection in Classification

Total organic carbon estimation in seagrass beds in Tauranga Harbour, New Zealand using multi-sensors imagery and grey wolf optimization


Reformer, the efficient Transformer, in Pytorch

Reformer: The Efficient Transformer

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

Learning to Unknot

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors

N-gram Prediction and Word Difference Representations for Language
  Modeling


A complete environment for Bayesian inference within R

Star-forming, rotating spheroidal galaxies in the GAMA and SAMI surveys

Monthly Notices of the Royal Astronomical Society

Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z = 1

The Emergence of Bulges and Disks in the Universe


A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Hyper-Parameter Sweep on AlphaZero General

Monte-Carlo Graph Search for AlphaZero

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers

Exploring the Performance of Deep Residual Networks in Crazyhouse Chess


An R package for water quality thresholds and index calculation for British Columbia


Download data from the Oregon PRISM climate data project http://www.prism.oregonstate.edu/

Comparison of large-scale citizen science data and long-term study data for phenology modeling

Automated data‐intensive forecasting of plant phenology throughout the United States

The role of warm, dry summers and variation in snowpack on phytoplankton dynamics in mountain lakes

Semiparametric panel data models using neural networks


pyWATTS: Python Workflow Automation Tool for Time-Series

pyWATTS: Python Workflow Automation Tool for Time Series

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

Concepts for Automated Machine Learning in Smart Grid Applications

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks

Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network


AMD OpenNIC Shell includes the HDL source files

Taurus: A Data Plane Architecture for Per-Packet ML

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

LightRW: FPGA Accelerated Graph Dynamic Random Walks

Proceedings of the ACM on Management of Data

EJ-FAT Joint ESnet JLab FPGA Accelerated Transport Load Balancer


MITIE: library and tools for information extraction

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text

GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora

ISPRS International Journal of Geo-Information

Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction

Empirical Methods in Natural Language Processing

Query Interpretations from Entity-Linked Segmentations

Antibody Exchange: Information Extraction of Biological Antibody Donation and a Web-Portal to Find Donors and Seekers

International Conference on Data Technologies and Applications

JEP-TALN-RECITAL (2) - Utilisation des relations d’une base de connaissances pour la désambiguïsation d’entités nommées (Using the Relations of a Knowledge Base to Improve Entity Linking )

NLU-Co at SemEval-2020 Task 5: NLU/SVM Based Model Apply Tocharacterise and Extract Counterfactual Items on Raw Data

International Workshop on Semantic Evaluation

Bio-Resource Exchange: Study of Prevalence of Antibody Donation and Development of a Web Portal to Facilitate it


NOAA-GFDL's Sea Ice Simulator version 2

SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

Journal of Advances in Modeling Earth Systems


Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

Automated abnormality classification of chest radiographs using deep convolutional neural networks

Anatomy-specific classification of medical images using deep convolutional nets

International Symposium on Biomedical Imaging

3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification

Improving segmentation and detection of lesions in CT scans using intensity distribution supervision


Lisflood OS - LISFLOOD

Independence of Future Changes of River Runoff in Europe from the Pathway to Global Warming


The Standard DAO Framework, including Whitepaper

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

On the Feasibility of Decentralized Derivatives Markets

Learning Inputs in Greybox Fuzzing


SOTA Re-identification Methods and Toolbox

FastReID: A Pytorch Toolbox for General Instance Re-identification

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Partial FC: Training 10 Million Identities on a Single Machine

Unsupervised Pre-training for Person Re-identification

Re-ID Driven Localization Refinement for Person Search

Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes

TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval

Semi-Supervised Domain Generalizable Person Re-Identification


Optimize floating-point expressions for accuracy

Rewrite Rule Inference Using Equality Saturation

A Domain-Specific Language and Editor for Parallel Particle Methods

Equality Saturation Theory Exploration à la Carte

Proceedings of the ACM on Programming Languages

Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting


Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]

Unsupervised Image-to-Image Translation Networks

Multispectral Deep Neural Networks for Pedestrian Detection

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy

Robust Pedestrian Detection Based on Multi-Spectral Image Fusion and Convolutional Neural Networks

Dual-YOLO Architecture from Infrared and Visible Images for Object Detection

Infrared Image Caption Based on Object-Oriented Attention

Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey


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

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

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Computational approaches for interpreting scRNA-seq data

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

Journal of translational genetics and genomics


multilabel classification of EHR notes

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation

Revisiting Transformer-based Models for Long Document Classification

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Hierarchical label-wise attention transformer model for explainable ICD coding

A Unified Review of Deep Learning for Automated Medical Coding

Medical code prediction with multi-view convolution and description-regularized label-dependent attention

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

Exemplar Auditing for Multi-Label Biomedical Text Classification


Quality control for MinION sequencing data

NanoPack: visualizing and processing long-read sequencing data

MinIONQC: fast and simple quality control for MinION sequencing data

Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing

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

A comprehensive toolkit to enable MinION sequencing in any laboratory

Clinical and molecular features of NDM-producing Acinetobacter baumannii in a multicenter study in Israel

Annals of clinical microbiology and antimicrobials

Nanopore sequencing data analysis using Microsoft Azure cloud computing service


The Aegean source finding program and associated tools

GaLactic and Extragalactic All-sky Murchison Widefield Array (GLEAM) survey - I. A low-frequency extragalactic catalogue

Extragalactic Peaked-Spectrum Radio Sources at Low Frequencies

The 154 MHz radio sky observed by the Murchison Widefield Array: noise, confusion and first source count analyses

The ASKAP/EMU Source Finding Data Challenge

Publications of the Astronomical Society of Australia

GaLactic and Extragalactic All-sky Murchison Widefield Array (GLEAM) survey II: Galactic Plane 345^∘ < l < 67^∘, 180^∘ < l < 240^∘

Interplanetary scintillation studies with the Murchison Widefield Array - II. Properties of sub-arcsecond compact sources at low radio frequencies

Low-Frequency Spectral Energy Distributions of Radio Pulsars Detected with the Murchison Widefield Array

GaLactic and Extragalactic All-sky Murchison Widefield Array survey eXtended (GLEAM-X) I: Survey description and initial data release

Remnant radio galaxies discovered in a multi-frequency survey

The ASKAP-EMU Early Science Project: 888 MHz radio continuum survey of the Large Magellanic Cloud


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

Enhancing CryptoGuards Deployability for Continuous Software Security Scanning


A Python Spectral Typing Suite

An Empirical Template Library of Stellar Spectra for a Wide Range of Spectral Classes, Luminosity Classes, and Metallicities Using SDSS BOSS Spectra

The Astrophysical Journal Supplement Series

Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates

An Optical and X-Ray Study of the Contact Binary, BH Cassiopeiae

Publications of the Astronomical Society of the Pacific

Stars and brown dwarfs in the σ Orionis cluster. IV. IDS/INT and OSIRIS/GTC spectroscopy and Gaia DR2 astrometry

Collisions of Terrestrial Worlds: The Occurrence of Extreme Mid-infrared Excesses around Low-mass Field Stars

Serendipitous discovery of radio flaring behaviour from a nearby M dwarf with MeerKAT

Monthly notices of the Royal Astronomical Society

A Long-period Pre-ELM System Discovered from the LAMOST Medium-resolution Survey

A correction method for the telluric absorptions and application to Lijiang Observatory


SolarPILOT power tower layout and optimization tool


sparse communication library

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

The PetscSF Scalable Communication Layer

GPU Algorithms for Efficient Exascale Discretizations

Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics

Multirate timestepping for the incompressible Navier-Stokes equations in overlapping grids

Adaptive Surface Fitting and Tangential Relaxation for High-Order Mesh Optimization

Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver

Stability analysis of a singlerate and multirate predictor-corrector scheme for overlapping grids

Mixed-Order Meshes through rp-adaptivity for Surface Fitting to Implicit Geometries


Empower Sequence Labeling with Task-Aware Language Model

Training Very Deep Networks

Empower Sequence Labeling with Task-Aware Neural Language Model

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Hybrid semi-Markov CRF for Neural Sequence Labeling

SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis

Position-aware self-attention based neural sequence labeling

Handling Rare Entities for Neural Sequence Labeling

Meeting of the Association for Computational Linguistics

Similarity Based Auxiliary Classifier for Named Entity Recognition

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis


cgat-flow repository

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

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

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

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

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

Frontiers in bioengineering and biotechnology


Resilience Atlas - Evidence-based decision-making around resilience


Cyber Threat Intelligence Repository expressed in STIX 2.0

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Game-Theoretic Decision Support for Cyber Forensic Investigations

Enhancing the STIX Representation of MITRE ATT&CK for Group Filtering and Technique Prioritization

Principled Data-Driven Decision Support for Cyber-Forensic Investigations

A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports


A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.

Performance Benchmark of Modelica Time-Domain Power System Automated Simulations using Python

Linköping electronic conference proceedings

Guidelines and Use Cases for Power Systems Dynamic Modeling and Model Verification using Modelica and OpenIPSL


Simple multirotor simulator with MAVLink protocol support

A Review of Physics Simulators for Robotic Applications

Design of Software Rejuvenation for CPS Security Using Invariant Sets

Experimental Implementation of an Adaptive Digital Autopilot

Autonomous aerial robotics for package delivery: A technical review

Distributed Relative Localization Algorithms for Multi-Robot Networks: A Survey

Devising a Distributed Co-Simulator for a Multi-UAV Network

Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation

Software Rejuvenation for Secure Tracking Control

A Comprehensive Review of Recent Research Trends on UAVs


QUIC and HTTP/3 implementation in Python

One to Rule them All? A First Look at DNS over QUIC

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

QUIC Throughput and Fairness over Dual Connectivity

Evaluating the Benefits: Quantifying the Effects of TCP Options, QUIC, and CDNs on Throughput

Proceedings of the Applied Networking Research Workshop

Tracking the QUIC spin bit on Tofino

Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

Improving HTTP/3 Quality of Experience with EPS

Improving Web Content Delivery with HTTP/3 and Non-Incremental EPS

Evaluating Transport Protocols on 5G for Mobile Augmented Reality


UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey

UQpy: A general purpose Python package and development environment for uncertainty quantification

Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

UQpy v4.1: Uncertainty Quantification with Python

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification.

Reliable Visual Analytics, a Prerequisite for Outcome Assessment of Engineering Systems

Imprecise subset simulation


Repository for the open-source lethe CFD/DEM/CFD-DEM project

Lethe-DEM: an open-source parallel discrete element solver with load balancing

Toward High-Order CFD-DEM: Development and Validation

Load-Balancing Strategies in Discrete Element Method Simulations


Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Adversarial Attacks on Neural Network Policies

Learning to Act by Predicting the Future


Interactive Object Segmentation with Inside-Outside Guidance

Interactive Object Segmentation With Inside-Outside Guidance

IEEE transactions on pattern analysis and machine intelligence


Simple reference implementation of GraphSAGE.

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Graph Neural Networks with Heterophily

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Learning on Attribute-Missing Graphs

Generalizing Graph Neural Networks Beyond Homophily.

Dimensional Reweighting Graph Convolutional Networks

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods


Pretrained language model with 100B parameters

Holistic Evaluation of Language Models

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

Effects of Generative Chatbots in Higher Education

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

On the application of Large Language Models for language teaching and assessment technology

LLM for SoC Security: A Paradigm Shift

GPT-SW3: An Autoregressive Language Model for the Nordic Languages


Interactive, web tool for exploring pan-genome of bacterial strains

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

Evolutionary origins of the emergent ST796 clone of vancomycin resistant Enterococcus faecium

Genome-Wide Analyses Reveal Genes Subject to Positive Selection in Pasteurella multocida

Genome Sequencing and Comparative Genomics of Indian Isolates of Brucella melitensis


3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison

Parallel Structure From Motion for UAV Images via Weighted Connected Dominating Set

Accurate Smartphone Indoor Visual Positioning Based on a High-Precision 3D Photorealistic Map

Ground Texture Based Localization Using Compact Binary Descriptors

International Conference on Robotics and Automation

A Monocular Visual Odometry Method Based on Virtual-Real Hybrid Map in Low-Texture Outdoor Environment

An Image-Based Real-Time Georeferencing Scheme for a UAV Based on a New Angular Parametrization

3D reconstruction of spherical images: a review of techniques, applications, and prospects


Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models

GPT-4 Technical Report

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

Flamingo: a Visual Language Model for Few-Shot Learning

Visual Adversarial Examples Jailbreak Aligned Large Language Models

VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data


Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Learning deep representations by mutual information estimation and maximization

Self-Supervised Relational Reasoning for Representation Learning

Mutual Information Gradient Estimation for Representation Learning

Prediction of Progression to Alzheimer's disease with Deep InfoMax

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning


Unsupervised Domain Adaptive Re-Identification: Theory and Practice

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters


Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization


Unsupervised Deep Embedding for Clustering Analysis

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Deep Divergence-Based Approach to Clustering

Neural networks : the official journal of the International Neural Network Society

Attentive Representation Learning with Adversarial Training for Short Text Clustering

TC-DWA: Text Clustering with Dual Word-Level Augmentation

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 6

Prognostic value of B-score for predicting joint replacement in the context of osteoarthritis phenotypes: Data from the osteoarthritis initiative


Single-cell ATAC-seq analysis via Latent feature Extraction

SCALE method for single-cell ATAC-seq analysis via latent feature extraction

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

Variant to function mapping at single-cell resolution through network propagation

bioRxiv : the preprint server for biology

Modeling fragment counts improves single-cell ATAC-seq analysis


dzetsaka : classification plugin for Qgis

Classification of Wetland Vegetation Based on NDVI Time Series from the HLS Dataset

A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands

Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors

International journal of environmental research and public health

Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series

Estimation of Palm Oil Biomass Carbon from Sentinel-2 Image using the Random Forest Classification Method

International Journal of Multidisciplinary Approach Research and Science


Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction,  using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Studying Cultural Differences in Emoji Usage across the East and the West

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

Understanding and Interpreting the Impact of User Context in Hate Speech Detection

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media

Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language

Leveraging Multilingual Transformers for Hate Speech Detection

Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance


Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools

A very-high-energy component deep in the γ-ray burst afterglow

Strong constraints on thermal relic dark matter from Fermi-LAT observations of the Galactic Center

Multiwaveband quasi-periodic oscillation in the blazar 3C 454.3

Monthly Notices of the Royal Astronomical Society

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. I. The Fermi-LAT Gamma-Ray Light Curves of Selected Blazars

The Astrophysical Journal Supplement Series

Galactic diffuse gamma rays meet the PeV frontier

Observation of Photons above 300 TeV Associated with a High-energy Neutrino from the Cygnus Region

Diffuse gamma-ray emission toward the massive star-forming region, W40

3D template-based Fermi -LAT constraints on the diffuse supernova axion-like particle background

Blazars at the Cosmic Dawn

Assessing the Impact of Hydrogen Absorption on the Characteristics of the Galactic Center Excess


✨ Hotshot-XL: State-of-the-art AI text-to-GIF model trained to work alongside Stable Diffusion XL

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video
  Generative Model

Benchmarking AIGC Video Quality Assessment: A Dataset and Unified Model


Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks

DaCy: A Unified Framework for Danish NLP

NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts

De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets

Two Neural Models for Multilingual Grammatical Error Detection


Python Implementations of Word Sense Disambiguation (WSD) Technologies.

LEXenstein: A Framework for Lexical Simplification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS

A Neural Approach to Pun Generation

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment

International Workshop on Semantic Evaluation

Calculating the similarity between words and sentences using a lexical database and corpus statistics

Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation

How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation

North American Chapter of the Association for Computational Linguistics

Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis

Pun-GAN: Generative Adversarial Network for Pun Generation

Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity

Exploring Morality in Argumentation


SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data

Typing methods based on whole genome sequencing data

Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data

Mobilome-driven partitions of the resistome in Salmonella

Evaluation of Salmonella Serotype Prediction With Multiplex Nanopore Sequencing

Evaluation of multiplex nanopore sequencing for Salmonella serotype prediction and antimicrobial resistance gene and virulence gene detection

Evaluation of whole and core genome multilocus sequence typing allele schemes for Salmonella enterica outbreak detection in a national surveillance network, PulseNet USA

High diversity of Salmonella spp. from children with diarrhea, food, and environmental sources in Kilimanjaro – Tanzania: one health approach


Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


A Wes Anderson color palette for R

Genetic architecture and selective sweeps after polygenic adaptation to distant trait optima

The sensitivity of modeled snow accumulation and melt to precipitation phase methods across a climatic gradient

High-resolution genome-wide functional dissection of transcriptional regulatory regions in human

Transcriptional-regulatory convergence across functional MDD risk variants identified by massively parallel reporter assays

Shedding light on large-scale solar impacts: An analysis of property values and proximity to photovoltaics across six U.S. states

Evaluating the bio-economic performance of a Callo de hacha (Atrina maura, Atrina tuberculosa & Pinna rugosa) fishery restoration plan in La Paz, Mexico

Cuvier’s beaked whale foraging dives identified via machine learning using depth and triaxial acceleration

Germline mutation rate is elevated in young and old parents in Caenorhabditis remanei

Gridlines approach for dynamic analysis in speech ultrasound data: A multimodal app

Techniques and Methods for Investigating Speech Articulation

A high-quality reference genome for the common creek chub, Semotilus atromaculatus


Tool to extract indicators of compromise from security reports in PDF format

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Malware triage for early identification of Advanced Persistent Threat activities

Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis.

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets


VirtualFCS is a Modelica library for hybrid hydrogen fuel cell and battery power systems.


A Property Graph Model Interface (no longer active - see Apache TinkerPop)

NScale: neighborhood-centric large-scale graph analytics in the cloud

An introduction to Graph Data Management

Storing and Analyzing Historical Graph Data at Scale

Automatic View Selection in Graph Databases

XACML Extension for Graphs: Flexible Authorization Policy Specification and Datastore-Independent Enforcement


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

Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Bidirectional Language Models Are Also Few-shot Learners

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Decoupled Context Processing for Context Augmented Language Modeling

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues

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

Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models

Open Problems in Computational Historical Linguistics


The git repository for the TT-Toolbox

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Tensorizing Neural Networks

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends® in Machine Learning

Alternating minimal energy methods for linear systems in higher dimensions. Part II: Faster algorithm and application to nonsymmetric systems

Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions

Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains

Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA

Computation of extreme eigenvalues in higher dimensions using block tensor train format

Polynomial Chaos Expansion of random coefficients and the solution of stochastic partial differential equations in the Tensor Train format

Simultaneous state-time approximation of the chemical master equation using tensor product formats


The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Papeos: Augmenting Research Papers with Talk Videos

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries


Source for the EnergySparks website


Directed Greybox Fuzzing with AFL

SAVIOR: Towards Bug-Driven Hybrid Testing

FuzzFactory: domain-specific fuzzing with waypoints

Proceedings of the ACM on Programming Languages

Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities

RDFuzz: Accelerating Directed Fuzzing with Intertwined Schedule and Optimized Mutation

FastAFLGo: Toward a Directed Greybox Fuzzing

Computers, materials & continua/Computers, materials & continua (Print)


Genome-scale protein function classification

The InterPro protein families and domains database: 20 years on

The Chloroplast Genome of Utricularia reniformis Sheds Light on the Evolution of the ndh Gene Complex of Terrestrial Carnivorous Plants from the Lentibulariaceae Family

The genome of Nautilus pompilius illuminates eye evolution and biomineralization

Metagenomics Shines Light on the Evolution of “Sunscreen” Pigment Metabolism in the Teloschistales (Lichen-Forming Ascomycota)

Enterococcus faecium Regulates Honey Bee Developmental Genes

International journal of molecular sciences

Genomic variation reveals demographic history and biological adaptation of the ancient relictual, lotus (Nelumbo Adans.)

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

Characterization of Growth Morphology and Pathology, and Draft Genome Sequencing of Botrytis fabae, the Causal Organism of Chocolate Spot of Faba Bean (Vicia faba L.)

High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

De Novo Transcriptome Assembly and EST-SSR Marker Development and Application in Chrysosplenium macrophyllum


Efficient Augmented Reality for the Web - 60fps on mobile!

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Web Apps Come of Age for Molecular Sciences

Building blocks for commodity augmented reality-based molecular visualization and modeling in web browsers

Tangible VR Book: Exploring the Design Space of Marker-Based Tangible Interfaces for Virtual Reality

Towards Commodity, Web-Based Augmented Reality Applications for Research and Education in Chemistry and Structural Biology

Multi-Resolution 3D Rendering for High-Performance Web AR

Marker-based Tangible Interfaces for Smartphone-based Virtual Reality

ICST Transactions on Mobile Communications and Applications


P4 language tutorials

Heavy-Hitter Detection Entirely in the Data Plane

Packet Transactions: High-level Programming for Line-Rate Switches

A survey on data plane programming with P4: Fundamentals, advances, and applied research

P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN

Shortcutting Fast Failover Routes in the Data Plane

Symposium on Architectures for Networking and Communications Systems

LAMP: Prompt Layer 7 Attack Mitigation with Programmable Data Planes

PROCEEDINGS OF THE 2018 SYMPOSIUM ON ARCHITECTURES FOR NETWORKING AND COMMUNICATIONS SYSTEMS (ANCS '18)

P4-IPsec: Implementation of IPsec Gateways in P4 with SDN Control for Host-to-Site Scenarios

P4R-Type: A Verified API for P4 Control Plane Programs


SMETANA: a tool to analyse interactions in microbial communities

Polarization of microbial communities between competitive and cooperative metabolism

metaGEM: reconstruction of genome scale metabolic models directly from metagenomes

A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables


Accurate and robust  imputation of scRNA-seq data

DrImpute: imputing dropout events in single cell RNA sequencing data

netSmooth: Network-smoothing based imputation for single cell RNA-seq

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations

Co-regulation and function of FOXM1/RHNO1 bidirectional genes in cancer

Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification

Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-seq Data

Imputation Methods for scRNA Sequencing Data

JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation


Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Graph Learning based Recommender Systems: A Review

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Personalised meta-path generation for heterogeneous graph neural networks


[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization.  PyTorch open-source toolbox for image-based localization (place recognition).

NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

Rethinking Visual Geo-localization for Large-Scale Applications

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

CricaVPR: Cross-image Correlation-aware Representation Learning for
  Visual Place Recognition


Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

OpenKE: An Open Toolkit for Knowledge Embedding

Empirical Methods in Natural Language Processing

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Global RDF Vector Space Embeddings

Knowledge Graph Embedding with Hierarchical Relation Structure

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

Knowledge-guided convolutional networks for chemical-disease relation extraction

Efficient Parallel Translating Embedding For Knowledge Graphs

Proceedings of the International Conference on Web Intelligence

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder


tools for working with Bisulfite Sequencing data while preserving reads intrinsic dependencies

Tracing the Origin of Cell-Free DNA Molecules through Tissue-Specific Epigenetic Signatures

Comparative parallel multi-omics analysis during the induction of pluripotent and trophectoderm states

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment

Whole-Genome DNA Methylation Profiling of Intrahepatic Cholangiocarcinoma Reveals Prognostic Subtypes with Distinct Biological Drivers

Multi-cell type deconvolution using a probabilistic model for single-molecule DNA methylation haplotypes

Search for differentially methylated regions in ancient and modern genomes

Vavilovskii zhurnal genetiki i selektsii


Learning human driver models from NGSIM data with imitation learning.

Generative Adversarial Imitation Learning

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

Multi-Agent Imitation Learning for Driving Simulation

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning

Online Parameter Estimation for Human Driver Behavior Prediction

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering


Python wrapper around the Concorde TSP solver

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

IEEE transactions on neural networks and learning systems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information

Solving the Joint Order Batching and Picker Routing Problem for Large Instances

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization


BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Pre-trained models for natural language processing: A survey

Attention is not Explanation

Attention is not not Explanation

A Multiscale Visualization of Attention in the Transformer Model

KG-BERT: BERT for Knowledge Graph Completion

12-in-1: Multi-Task Vision and Language Representation Learning

Open Sesame: Getting Inside BERT's Linguistic Knowledge

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing


PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Netherlands). Contact: Edwin Sutanudjaja (E.H.Sutanudjaja@uu.nl).

PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model

Threats of global warming to the world’s freshwater fishes

Spring enhancement and summer reduction in carbon uptake during the 2018 drought in northwestern Europe

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Current wastewater treatment targets are insufficient to protect surface water quality

FutureStreams, a global dataset of future streamflow and water temperature


Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data

Manu: A Cloud Native Vector Database Management System

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Survey of Vector Database Management Systems

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints

CoRT: Complementary Rankings from Transformers


An open source project to document AI progress through data.

Gated-Attention Readers for Text Comprehension

Visual Question Answering: A Survey of Methods and Datasets

Iterative Alternating Neural Attention for Machine Reading


fast and accurate alignment of BS-Seq reads using bwa-mem and a 3-letter genome

Fast and accurate alignment of long bisulfite-seq reads

rahu is a mutant allele of Dnmt3c, encoding a DNA methyltransferase homolog required for meiosis and transposon repression in the mouse male germline

SMYD2 promoter DNA methylation is associated with abdominal aortic aneurysm (AAA) and SMYD2 expression in vascular smooth muscle cells

Applications of genetic-epigenetic tissue mapping for plasma DNA in prenatal testing, transplantation and oncology

Highly cooperative chimeric super-SOX induces naive pluripotency across species

Fast and memory-efficient mapping of short bisulfite sequencing reads using a two-letter alphabet

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth

Isogenic Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes Reveal Activation of Wnt Signaling Pathways Underlying Intrinsic Cardiac Abnormalities in Rett Syndrome

Epigenetic and Genetic Differentiation Between Coregonus Species Pairs.


EvoJAX: Hardware-accelerated Neuroevolution.

Adaptive Computation Time for Recurrent Neural Networks

Simple random search provides a competitive approach to reinforcement learning

EvoJAX: Hardware-Accelerated Neuroevolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Accelerated Quality-Diversity through Massive Parallelism

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


Scaling Vision Transformers to 22 Billion Parameters

Revisiting the Calibration of Modern Neural Networks

Plex: Towards Reliability using Pretrained Large Model Extensions

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning

Compressive Visual Representations

Diversity and Generalization in Neural Network Ensembles

Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification

A Note on "Assessing Generalization of SGD via Disagreement"

Three Towers: Flexible Contrastive Learning with Pretrained Image Models


[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

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

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Mastering Atari Games with Limited Data

Learning and Planning in Complex Action Spaces

Policy improvement by planning with Gumbel

International Conference on Learning Representations

Planning in Stochastic Environments with a Learned Model

ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search


Bayesian active learning library for research and industrial usecases.

DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks

Active learning with MaskAL reduces annotation effort for training Mask R-CNN on a broccoli dataset with visually similar classes

Computers and Electronics in Agriculture

Bayesian active learning for production, a systematic study and a reusable library

Can Active Learning Preemptively Mitigate Fairness Issues?

Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning

Synbols: Probing Learning Algorithms with Synthetic Datasets

Navya3DSeg - Navya 3D Semantic Segmentation Dataset Design & Split Generation for Autonomous Vehicles

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions

LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation

Azimuth: Systematic Error Analysis for Text Classification


Calibration Reference Data System for HST and JWST.

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

Spectroscopic Time Series Performance of the Mid-infrared Instrument on the JWST

A warm Neptune’s methane reveals core mass and vigorous atmospheric mixing


Raspberry Pi Based Energy Monitor. Hardware, Firmware & related software for the PI.


DeepFlame: A deep learning empowered open-source platform for reacting flow simulations

An integrated framework for accelerating reactive flow simulation using GPU and machine learning models


⟁ Tendermint Core (BFT Consensus) in Go

Blockchain Consensus Protocols in the Wild

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

The latest gossip on BFT consensus

HotStuff: BFT Consensus in the Lens of Blockchain

Cross-chain deals and adversarial commerce

Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure

A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue

A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric

Cogsworth: Byzantine View Synchronization

Blockmania: from Block DAGs to Consensus


Reads simulator

LUMPY: A probabilistic framework for structural variant discovery

An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies

Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics

Population scale mapping of transposable element diversity reveals links to gene regulation and epigenomic variation


scPred package for cell type prediction from scRNA-seq data

scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

Computational methods for the integrative analysis of single-cell data

scMAGIC: accurately annotating single cells using two rounds of reference-based classification


Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

TS2Vec: Towards Universal Representation of Time Series

Do We Really Need Deep Learning Models for Time Series Forecasting?

Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer

Deep Coupling Network For Multivariate Time Series Forecasting

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series


End-to-End Neural Diarization

End-to-End Neural Speaker Diarization with Self-attention

End-to-End Neural Speaker Diarization with Permutation-Free Objectives

End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

Online End-to-End Neural Diarization with Speaker-Tracing Buffer

Neural Speaker Diarization with Speaker-Wise Chain Rule

The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap

Neural Diarization with Non-autoregressive Intermediate Attractors

Improving End-to-End Neural Diarization Using Conversational Summary Representations


Microbial ecological network visualization clustering

ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts

Alterations in the Composition of Intestinal DNA Virome in Patients With COVID-19

Frontiers in cellular and infection microbiology

The impact of aquaculture system on the microbiome and gut metabolome of juvenile Chinese softshell turtle (Pelodiscus sinensis)

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

Biochar Addition Altered Bacterial Community and Improved Photosynthetic Rate of Seagrass: A Mesocosm Study of Seagrass Thalassia hemprichii

Multi-omics profiling reveal responses of three major Dendrobium species from different growth years to medicinal components


Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

BEiT: BERT Pre-Training of Image Transformers

Multi-Task Learning Framework for Emotion Recognition in-the-wild


Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference

Data-Driven Neuron Allocation for Scale Aggregation Networks

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks

Pruning Very Deep Neural Network Channels for Efficient Inference


methods for functional summary-based imputation

Transcriptome-wide association study identifies new susceptibility genes and pathways for depression

Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration

Association Between Brain Structure and Alcohol Use Behaviors in Adults

Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation

Regulatory controls of duplicated gene expression during fiber development in allotetraploid cotton

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study

Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction

medRxiv : the preprint server for health sciences

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

Novel insight into the etiology of ischemic stroke gained by integrative transcriptome-wide association study


Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"

Re-evaluating Automatic Metrics for Image Captioning

Re-evaluating Word Mover's Distance

Speeding up Word Mover's Distance and its variants via properties of distances between embeddings

Supervised Tree-Wasserstein Distance

Unbalanced Optimal Transport meets Sliced-Wasserstein

Unsupervised Sentence-embeddings by Manifold Approximation and Projection

Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem

Optimal Transport for Measures with Noisy Tree Metric

Model Comparison for Semantic Grouping

Moving Other Way: Exploring Word Mover Distance Extensions


Neural relational inference for interacting systems - pytorch

E(n) Equivariant Graph Neural Networks

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

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

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions

Multi-agent Trajectory Prediction with Fuzzy Query Attention

Neural Relational Inference with Efficient Message Passing Mechanisms

A Graph Dynamics Prior for Relational Inference

Collective Relational Inference for learning heterogeneous interactions


Splitting of sequence reads by internal adapter sequence search

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

RESCUE: a validated Nanopore pipeline to classify bacteria through long-read, 16S-ITS-23S rRNA sequencing

Complete Genome Sequence of Anaerostipes hadrus JCM 17467(T)


A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

Discovering Salient Neurons in Deep NLP Models

NeuroX Library for Neuron Analysis of Deep NLP Models

Redundancy and Concept Analysis for Code-trained Language Models


A repo for our peak baggin code and tips on jam

Chronologically dating the early assembly of the Milky Way

Prospects for Galactic and stellar astrophysics with asteroseismology of giant stars in the TESS continuous viewing zones and beyond

Monthly Notices of the Royal Astronomical Society

PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators

Investigating surface correction relations for RGB stars

Monthly notices of the Royal Astronomical Society

CORALIE radial-velocity search for companions around evolved stars (CASCADES)

Using Asteroseismology to Calibrate the Physical Parameters of Confirmed Exoplanets and Their Evolved Host Stars

Improving Power Spectral Estimation using Multitapering: Precise asteroseismic modeling of stars, exoplanets, and beyond


Pretrained Transformers for Text Ranking: BERT and Beyond

Dense Text Retrieval Based on Pretrained Language Models: A Survey

Simplified Data Wrangling with ir_datasets

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

OpenMatch: An Open Source Library for Neu-IR Research

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges

Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval

OpenMatch: An Open-Source Package for Information Retrieval.


Functional connectomics spanning multiple areas of mouse visual cortex

Binary and analog variation of synapses between cortical pyramidal neurons

Oligodendrocyte precursor cells ingest axons in the mouse neocortex

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

CAVE: Connectome Annotation Versioning Engine

bioRxiv : the preprint server for biology


Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion

Nougat: Neural Optical Understanding for Academic Documents

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of
  Large Vision-Language Models

AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities

LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework

Proceedings of the Second Workshop on Information Extraction from Scientific Publications


Genetics ToolboX R package

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort

Epigenomic profiling of the infrapatellar fat pad in osteoarthritis


R package for the analysis of single-cell immune repertoires

Discovery and validation of human genomic safe harbor sites for gene and cell therapies

Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes


MHKiT-Python provides the marine renewable energy (MRE) community tools for data processing, visualization, quality control, resource assessment, and device performance.


Implementation of the FV3GFS / SHiELD atmospheric model in Python


FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates


COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support

Multiple models for outbreak decision support in the face of uncertainty

Testing Causality in Scientific Modelling Software

COVID-19 epidemic modelling for policy decision support in Victoria, Australia 2020–2021

Simulation of COVID-19 Spread Scenarios in the Republic of Kazakhstan Based on Regularization of the Agent-Based Model

Journal of Applied and Industrial Mathematics

Discrete Stochastic Optimization for Public Health Interventions with Constraints


Citation Classification using hybrid neural network model for Wikipedia References

Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia


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


Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

Task-adaptive Neural Process for User Cold-Start Recommendation

ColdNAS: Search to Modulate for User Cold-Start Recommendation

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming


Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Learning stiff chemical kinetics using extended deep neural operators

Toward a Better Understanding of Fourier Neural Operators: Analysis and
  Improvement from a Spectral Perspective

PETScML: Second-order solvers for training regression problems in
  Scientific Machine Learning

Emulating the interstellar medium chemistry with neural operators


Global soil respiration database

A restructured and updated global soil respiration database (SRDB-V5)

Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

Global variability of belowground autotrophic respiration in terrestrial ecosystems

Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes

GloSIS: The Global Soil Information System Web Ontology


MAttNet: Modular Attention Network for Referring Expression Comprehension

Unifying Vision-and-Language Tasks via Text Generation

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

Who's Waldo? Linking People Across Text and Images


(CVPR 2021 Oral) LETR: Line Segment Detection Using Transformers without Edges

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

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

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

Fast High-Dimensional Bilateral and Nonlocal Means Filtering

Blind inverse gamma correction with maximized differential entropy

Denoising single images by feature ensemble revisited

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser


This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

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

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Learning Modulated Loss for Rotated Object Detection

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

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

The KFIoU Loss for Rotated Object Detection

Arbitrary-Oriented Ship Detection through Center-Head Point Extraction


Code and data for Sato https://arxiv.org/abs/1911.06311.

TABBIE: Pretrained Representations of Tabular Data

Sato: Contextual Semantic Type Detection in Tables

KGLink: A Column Type Annotation Method that Combines Knowledge Graph and Pre-Trained Language Model


EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

EfficientFormer: Vision Transformers at MobileNet Speed

Rethinking Vision Transformers for MobileNet Size and Speed

FP8 versus INT8 for efficient deep learning inference


[NeurIPS'21] Projected GANs Converge Faster

Projected GANs Converge Faster

The Role of ImageNet Classes in Fréchet Inception Distance

Towards the Detection of Diffusion Model Deepfakes

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

The ArtBench Dataset: Benchmarking Generative Models with Artworks

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions


Matlab Circular Statistics Toolbox

Dynamic control of hippocampal spatial coding resolution by local visual cues

Human interictal epileptiform discharges are bidirectional traveling waves echoing ictal discharges

Disrupting cortico-cerebellar communication impairs dexterity

V1 interneurons regulate the pattern and frequency of locomotor-like activity in the neonatal mouse spinal cord

Mediofrontal theta‐band oscillations reflect top‐down influence in the ventriloquist illusion

Hippocampal memory reactivation during sleep is correlated with specific cortical states of the retrosplenial and prefrontal cortices

Transitions of motor neuron activities during Ciona development

Frontiers in cell and developmental biology


UTMOST (unified test for molecular signatures) is a method for cross-tissue gene expression imputation for transcriptome-wide association analyses.

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

UTMOST, a single and cross-tissue TWAS (Transcriptome Wide Association Study), reveals new ASD (Autism Spectrum Disorder) associated genes

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Cross-tissue transcriptome-wide association studies identify susceptibility genes shared between schizophrenia and inflammatory bowel disease

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies

Genetic determinants of IgG antibody response to COVID-19 vaccination

The statistical practice of the GTEx Project: from single to multiple tissues


Named Entity Recognition (LSTM + CRF) - Tensorflow

Neural Architectures for Named Entity Recognition

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Sentence-Level Resampling for Named Entity Recognition

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

Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning

pioNER: Datasets and Baselines for Armenian Named Entity Recognition

2018 Ivannikov Ispras Open Conference (ISPRAS)

De-identifying Free Text of Japanese Dummy Electronic Health Records

Empirical Methods in Natural Language Processing

Persian Causality Corpus (PerCause) and the Causality Detection Benchmark


The PyTorch implementation of LightGCN

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

How Powerful is Graph Convolution for Recommendation?

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

Infinite Recommendation Networks: A Data-Centric Approach

Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems

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