A collection of sequencing protocols and bioinformatic resources for SARS-CoV-2 sequencing.

A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2

Virologic and Immunologic Characterization of COVID-19 Recrudescence after Nirmatrelvir/Ritonavir Treatment

A recurrent mutation at position 26,340 of SARS-CoV-2 is associated with failure of the E-gene qRT-PCR utilised in a commercial dual-target diagnostic assay

SARS-CoV-2 B.1.1.7 Infection of Syrian Hamster Does Not Cause More Severe Disease, and Naturally Acquired Immunity Confers Protection

Shedding of Viable Virus in Asymptomatic SARS-CoV-2 Carriers

A Novel SARS-CoV-2 Viral Sequence Bioinformatic Pipeline Has Found Genetic Evidence That the Viral 3′ Untranslated Region (UTR) Is Evolving and Generating Increased Viral Diversity

The G614 pandemic SARS-CoV-2 variant is not more pathogenic than the original D614 form in adult Syrian hamsters

Rapid, sensitive, full genome sequencing of Severe Acute Respiratory Syndrome Virus Coronavirus 2 (SARS-CoV-2)

COVID-19 outbreak in Malaysia: Decoding D614G mutation of SARS-CoV-2 virus isolated from an asymptomatic case in Pahang

Whole genome sequence analysis showing unique SARS-CoV-2 lineages of B.1.524 and AU.2 in Malaysia


Build and run Docker containers leveraging NVIDIA GPUs

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

3D whole brain segmentation using spatially localized atlas network tiles

Performance evaluation of container-based virtualization for high performance computing environments

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

Performance Evaluation of Deep Learning Tools in Docker Containers

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

Performance Evaluation of Container-based Virtualization for High Performance Computing Environments

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations


The existing blockchain-related academic papers. All papers are sorted according to the conference and published year.  Welcome developers or researchers to add more published papers to this list.

Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Adding Concurrency to Smart Contracts

Proceedings of the ACM Symposium on Principles of Distributed Computing

FalconDB: Blockchain-based Collaborative Database

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

A Transactional Perspective on Execute-order-validate Blockchains

P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics

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

Confidentiality Support over Financial Grade Consortium Blockchain

Blockchain-based real-time cheat prevention and robustness for multi-player online games

Conference on Emerging Network Experiment and Technology

SQL Ledger: Cryptographically Verifiable Data in Azure SQL Database

DIV: Resolving the Dynamic Issues of Zero-knowledge Set Membership Proof in the Blockchain

Fast Byzantine Agreement for Permissioned Distributed Ledgers

PROCEEDINGS OF THE 32ND ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES (SPAA '20)


Synthetic data generators for structured and unstructured text, featuring differentially private learning.

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Privacy and Utility of Private Synthetic Data for Medical Data Analyses

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series


Official code repository for GATK versions 1.0 through 3.7 (core engine). For GATK 4 code, see the https://github.com/broadinstitute/gatk repository

Whole genome characterization of sequence diversity of 15,220 Icelanders

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

Reliably Detecting Clinically Important Variants Requires Both Combined Variant Calls and Optimized Filtering Strategies

Genetic variants associated with platelet count are predictive of human disease and physiological markers

A truncating mutation in EPOR leads to hypo-responsiveness to erythropoietin with normal haemoglobin

Population-level deficit of homozygosity unveils CPSF3 as an intellectual disability syndrome gene

Whole-exome sequencing analysis to identify novel potential pathogenetic mutations in fetuses with abnormal brain structure


Correctness and Fairness of Tendermint-core Blockchains

Dissecting Tendermint

A Tendermint Light Client

A Domain Specific Language for Testing Consensus Implementations

A case study on parametric verification of failure detectors


Recent Fuzzing Paper

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

FREEDOM: Engineering a State-of-the-Art DOM Fuzzer

Conference on Computer and Communications Security

Learning input tokens for effective fuzzing

International Symposium on Software Testing and Analysis

Fuzzing SMT solvers via two-dimensional input space exploration

PathAFL: Path-Coverage Assisted Fuzzing

Fw‐fuzz: A code coverage‐guided fuzzing framework for network protocols on firmware

Concurrency and Computation: Practice and Experience

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

CMFuzz: context-aware adaptive mutation for fuzzers

KCFuzz: Directed Fuzzing Based on Keypoint Coverage

From proof-of-concept to exploitable


Linux-based partitioning hypervisor

Look Mum, no VM Exits! (Almost)

Virtualizing mixed-criticality systems: A survey on industrial trends and issues

Virtualizing Programmable Logic Controllers: Toward a Convergent Approach

Boomerang: Real-Time I/O Meets Legacy Systems

Clock Synchronization in Virtualized Distributed Real-Time Systems Using IEEE 802.1AS and ACRN

Autonomous Vehicles: Open-Source Technologies, Considerations, and Development

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

Mediterranean Conference on Embedded Computing

On Temporal Isolation Assessment in Virtualized Railway Signaling as a Service Systems

vLibOS: Babysitting OS Evolution with a Virtualized Library OS


Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

Large Language Models for Test-Free Fault Localization

User Space Network Drivers

Vulnerability Detection with Code Language Models: How Far Are We?

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

Performance Benchmarking of State-of-the-Art Software Switches for NFV

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

Graph Convolutions Enrich the Self-Attention in Transformers!

Towards an Automated Unified Framework to Run Applications for Combinatorial Interaction Testing

QEMU-based hardware/software co-development for DAQ systems


The Agda standard library

Formalizing category theory in Agda

Intrinsically-typed definitional interpreters à la carte

Proceedings of the ACM on Programming Languages

Verified type checker for Jolie programming language

Monotone recursive types and recursive data representations in Cedille

Symbolic and automatic differentiation of languages

One Monad to Prove Them All

A Relaxation of Üresin and Dubois’ Asynchronous Fixed-Point Theory in Agda

Type Theory with Explicit Universe Polymorphism

Building on the Diamonds between Theories: Theory Presentation Combinators

Coinductive Invertibility in Higher Categories


Deep Learning for humans

Xception: Deep Learning with Depthwise Separable Convolutions

A ConvNet for the 2020s

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Deep Learning using Rectified Linear Units (ReLU)

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Road Extraction by Deep Residual U-Net

IEEE Geoscience and Remote Sensing Letters

Theano: A Python framework for fast computation of mathematical expressions

An Introduction to Deep Learning for the Physical Layer

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice


Membership Leakage in Label-Only Exposures

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses


Natural language Understanding Toolkit

Cross-Lingual Adaptation using Structural Correspondence Learning

Cross-Lingual Sentiment Quantification

Lost in Transduction: Transductive Transfer Learning in Text Classification

ACM Transactions on Knowledge Discovery from Data

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence

Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments


Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019

Zero-shot Node Classification with Decomposed Graph Prototype Network

Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning


Framework for training and evaluating self-supervised learning methods for speaker verification.

Delving into VoxCeleb: environment invariant speaker recognition

Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning

Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification

Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations


Spectre attack against SGX enclave

A Systematic Evaluation of Transient Execution Attacks and Defenses

Raziel: Private and Verifiable Smart Contracts on Blockchains

Using Trusted Execution Environments for Secure Stream Processing of
  Medical Data

A Secure Cloud with Minimal Provider Trust

It Takes Two to #MeToo - Using Enclaves to Build Autonomous Trusted Systems


Pytorch implementation of differentiable group normalization (NeurIPS 2020)

Graph-based Semi-supervised Learning: A Comprehensive Review

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

Graph Augmentation Learning


Cluttered MNIST Dataset

Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks

Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks

Spatial Transformer Networks for Curriculum Learning


PyTorch implementation of Constrained Policy Optimization

Constrained Policy Optimization

ConBaT: Control Barrier Transformer for Safe Policy Learning

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming


PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

Imitating Graph-Based Planning with Goal-Conditioned Policies


A Matlab GUI for rendering 3D mouse brain structures

Mesoscale microscopy and image analysis tools for understanding the brain

Progress in biophysics and molecular biology

Histological E-data Registration in rodent Brain Spaces

Mesoscale microscopy for micromammals: image analysis tools for understanding the rodent brain


Code for doubly stochastic gradients

Scalable Kernel Methods via Doubly Stochastic Gradients

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients


Recycling diverse models

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Recognition in Terra Incognita

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

Diverse Weight Averaging for Out-of-Distribution Generalization

Fusing finetuned models for better pretraining

Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization


AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Convolutional Bypasses Are Better Vision Transformer Adapters

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

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

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


Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.

Cartesian K-Means

Stacked Quantizers for Compositional Vector Compression

Scalable Image Retrieval by Sparse Product Quantization


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

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

Querying Knowledge via Multi-Hop English Questions

Theory and Practice of Logic Programming

Constructing a Knowledge Graph from Unstructured Documents without External Alignment.


Friends of Friends cluster finding in python.

Approximate Bayesian computation in large-scale structure: constraining the galaxy-halo connection

Monthly Notices of the Royal Astronomical Society

The R-Process Alliance: Chemodynamically Tagged Groups of Halo r-process-enhanced Stars Reveal a Shared Chemical-evolution History

Possibilities and Limitations of Kinematically Identifying Stars from Accreted Ultra-faint Dwarf Galaxies

Morphological Evolution of the Hosts of Far-infrared/Submillimeter Galaxies


Sentence transformers models for SpaCy

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Referential Communication Between Friends and Strangers in the Wild

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


Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

DELTA: degradation-free fully test-time adaptation

Feature Alignment and Uniformity for Test Time Adaptation

RDumb: A simple approach that questions our progress in continual test-time adaptation

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams


Dialog State Tracking Challenge 2 & 3 Data

"Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking

A neural prosody encoder for end-ro-end dialogue act classification

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception

A Unifying View On Task-oriented Dialogue Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Définition et détection des incohérences du système dans les dialogues orientés tâche. (We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context)


Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer


Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."

Deep Learning on Graphs: A Survey

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


scDeepCluster for Single Cell RNA-seq data

Deep learning tackles single-cell analysis A survey of deep learning for scRNA-seq analysis

Deep Learning in Single-Cell Analysis


RPM-Net: Robust Point Matching using Learned Features

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Robust Point Cloud Registration Framework Based on Deep Graph Matching

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration


An air travel dataset consisting of user reviews from Skytrax (www.airlinequality.com)

Goal Driven Discovery of Distributional Differences via Language Descriptions

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data

Towards Sentence Level Inference Attack Against Pre-trained Language Models

Proceedings on Privacy Enhancing Technologies

High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review


Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain

Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

Addressing the looming identity crisis in single cell RNA-seq

Practical bioinformatics pipelines for single-cell RNA-seq data analysis


Extracts contigs harbouring a target gene / sequence from assemblies and aligns the contigs around the target sequence

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

Rapid Emergence and Evolution of Staphylococcus aureus Clones Harboring fusC-Containing Staphylococcal Cassette Chromosome Elements

Genomic Epidemiology and Global Population Structure of Exfoliative Toxin A-Producing Staphylococcus aureus Strains Associated With Staphylococcal Scalded Skin Syndrome


The implementation for DropMessage.

Improving neural networks by preventing co-adaptation of feature detectors

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

DropMessage: Unifying Random Dropping for Graph Neural Networks


[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

Differentiable Augmentation for Data-Efficient GAN Training

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

Winning Lottery Tickets in Deep Generative Models


Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images

Online matrix factorization for Markovian data and applications to Network Dictionary Learning

Sampling random graph homomorphisms and applications to network data analysis

Learning low-rank latent mesoscale structures in networks


Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.

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

Training Adaptive Reconstruction Networks for Blind Inverse Problems

Bayesian Optimization of Sampling Densities in MRI

Off-the-grid data-driven optimization of sampling schemes in MRI


U-Net: Convolutional Networks for Biomedical Image Segmentation

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Deep Bayesian Active Learning with Image Data

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation


Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty


DARTS: Differentiable Architecture Search

XNAS: Neural Architecture Search with Expert Advice

Geometry-Aware Gradient Algorithms for Neural Architecture Search


Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

Metagenomic binning through low-density hashing

Carnelian: alignment-free functional binning and abundance estimation of metagenomic reads


Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Cross-Modal Discrete Representation Learning

Cascaded Multilingual Audio-Visual Learning from Videos


Materials related to our Sinn und Bedeutung 23 paper

Language Models are Few-Shot Learners

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Muppet: Massive Multi-task Representations with Pre-Finetuning

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Evaluating BERT for natural language inference: A case study on the CommitmentBank

Empirical Methods in Natural Language Processing

Improving In-Context Few-Shot Learning via Self-Supervised Training


Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning


The Continual Learning in Multimodality Benchmark

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

I2I: Initializing Adapters with Improvised Knowledge


Automated Storytelling via Causal, Commonsense Plot Ordering

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Guiding Neural Story Generation with Reader Models


A Survey of Large Language Models

The Conditional Analogy GAN: Swapping Fashion Articles on People Images

Image-Based Virtual Try-On: A Survey


R package for performing Mendelian Randomization using mixture models

Guidelines for performing Mendelian randomization investigations

Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores


Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training

Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation


Code to accompany paper 'A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'

Generalized Seismic Phase Detection with Deep Learning

Bulletin of the Seismological Society of America

A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning

Journal of Geophysical Research: Solid Earth


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

FSD50K: An Open Dataset of Human-Labeled Sound Events

Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input

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

Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation

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


Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)

MINE: Mutual Information Neural Estimation

Deep Variational Information Bottleneck


3D ResNets for Action Recognition

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition


Code release for ICLR 2021 paper "Generalised Multimodal ELBO"

Generalized Multimodal ELBO

Multi-modal Latent Diffusion


An Improved Model of Diffuse Galactic Radio Emission from 10 MHz to 5 THz

Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response

MeerTRAP: 12 Galactic fast transients detected in a real-time, commensal MeerKAT survey


Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

Scientific paper recommendation systems: a literature review of recent publications

Feature Selection for Recommender Systems with Quantum Computing

Less is More: Reweighting Important Spectral Graph Features for Recommendation

Large Language Model Interaction Simulator for Cold-Start Item
  Recommendation

An Academic Text Recommendation Method Based on Graph Neural Network

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model

How Powerful is Graph Filtering for Recommendation

Tag-Aware Document Representation for Research Paper Recommendation


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

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises


Random quantum circuits for circuit sampling with superconducting qubits

Quantum supremacy using a programmable superconducting processor

Hyper-optimized tensor network contraction

Quantum Supremacy Is Both Closer and Farther than It Appears

General-Purpose Quantum Circuit Simulator with Projected Entangled-Pair States and the Quantum Supremacy Frontier

Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral

Just Like the Real Thing: Fast Weak Simulation of Quantum Computation

Faster Schrödinger-style simulation of quantum circuits

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Alibaba Cloud Quantum Development Platform: Large-Scale Classical Simulation of Quantum Circuits

Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation


the code for three models introduced in DYNAMIC NEURAL PROGRAM EMBEDDINGS FOR PROGRAM REPAIR (ICLR 18)

Dynamic Neural Program Embedding for Program Repair

A Literature Study of Embeddings on Source Code

A Survey of Learning-based Automated Program Repair


Learning Text-Enhanced Urban Region Profiling with Contrastive Language-Image Pre-Training

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation
  Model for Urban Indicator Prediction


Example data for R/qtl2

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Cleaning Genotype Data from Diversity Outbred Mice

Testing Pleiotropy vs. Separate QTL in Multiparental Populations

A generic hidden Markov model for multiparent populations


Code for the paper Implicit Weight Uncertainty in Neural Networks

Quality of Uncertainty Quantification for Bayesian Neural Network Inference

Uncertainty-Aware Deep Classifiers using Generative Models

Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights

Graceful Degradation and Related Fields


The reference implementation of "Multi-scale Attributed Node Embedding".  (Journal of Complex Networks 2021)

Multi-scale Attributed Node Embedding

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Evaluating Node Embeddings of Complex Networks

Feature Expansion for Graph Neural Networks

Graph Distillation with Eigenbasis Matching

Scalable Deep Gaussian Markov Random Fields for General Graphs

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks


[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Checkerboard Context Model for Efficient Learned Image Compression


MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19

HAL (Le Centre pour la Communication Scientifique Directe)

Spartan Face Mask Detection and Facial Recognition System

A Deep Learning-based Approach for Real-time Facemask Detection

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

State of the Art of Quality Assessment of Facial Images


A benchmark for generic, large-scale shuffle operations on continuous stream of data, implemented with state-of-the-art stream processing frameworks.

ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream
  Processing Frameworks


datasets from the paper "Towards Understanding Sycophancy in Language Models"

System 2 Attention (is something you might need too)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Social Evolution of Published Text and The Emergence of Artificial
  Intelligence Through Large Language Models and The Problem of Toxicity and
  Bias


Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

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


small fixed wing UAV simulator

Flight Control for UAV Loitering Over a Ground Target With Unknown Maneuver

IEEE Transactions on Control Systems Technology

Coordinate-Free Circumnavigation of a Moving Target Via a PD-Like Controller

IEEE Transactions on Aerospace and Electronic Systems

The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback

Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields


Genetic maps interpolated to sites in the 1000 Genomes project

IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes

Extended data: Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx

Zenodo (CERN European Organization for Nuclear Research)

Endogenization and excision of human herpesvirus 6 in human genomes

Genome-Wide Linkage Analysis of Large Multiple Multigenerational Families Identifies Novel Genetic Loci for Coronary Artery Disease

SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification

East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease


Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images


[COLING 2020] EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

Incremental Learning Techniques for Semantic Segmentation

Importance Driven Continual Learning for Segmentation Across Domains


[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

Learning from Noisy Labels with Deep Neural Networks: A Survey

Bag of Tricks for Adversarial Training

Self-Adaptive Training: beyond Empirical Risk Minimization

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness


High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper

Noise2Noise: Learning Image Restoration without Clean Data

Noise2Void - Learning Denoising from Single Noisy Images


The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.

A critical look at the evaluation of GNNs under heterophily: are we really making progress?

Layer-diverse Negative Sampling for Graph Neural Networks


Quasi-Periodic WaveNet Pytorch implementation

Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation


Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Adversarial Attack and Defense on Graph Data: A Survey

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More


Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

Learning Transferable Visual Models From Natural Language Supervision

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Poisoning and Backdooring Contrastive Learning


Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation


The Cityscapes Dataset for Semantic Urban Scene Understanding

Spatial Transformer Networks

IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Seamless Scene Segmentation

A deep learning approach to identify unhealthy advertisements in street view images


Differentiable DAG Sampling (ICLR 2022)

Differentiable DAG Sampling

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery


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

HumanMAC: Masked Motion Completion for Human Motion Prediction

Contextually Plausible and Diverse 3D Human Motion Prediction

Likelihood-Based Diverse Sampling for Trajectory Forecasting


Commonsense Ability Tests

Evaluating Commonsense in Pre-trained Language Models

Probing Across Time: What Does RoBERTa Know and When?

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring


Automatic code generation of Fast Multipole and Barnes-Hut operators

The fast multipole method and point dipole moment polarizable force fields

Efficient Open-Source Implementations of Linear-Scaling Polarizable Embedding: Use Octrees to Save the Trees

Journal of chemical theory and computation

fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods


Deep Compression on AlexNet

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Learning both Weights and Connections for Efficient Neural Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Compact and Computationally Efficient Representation of Deep Neural Networks

Dynamic Runtime Feature Map Pruning

Power Law in Sparsified Deep Neural Networks


Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Backdoor Cleansing with Unlabeled Data

Fisher Information guided Purification against Backdoor Attacks


This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)

Stacking models for nearly optimal link prediction in complex networks

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

“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Short Note on Comparing Stacking Modelling Versus Cannistraci-Hebb Adaptive Network Automata for Link Prediction in Complex Networks

Network Estimation by Mixing: Adaptivity and More


Python library to convert textual numbers to integers

MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

Revisiting Challenges in Data-to-Text Generation with Fact Grounding

International Conference on Natural Language Generation

From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations

Transactions of the Association for Computational Linguistics


Heuristic Analysis for NLI Systems

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

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

Grounding Representation Similarity with Statistical Testing

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference


ProSolo, variant calling from single cell DNA-seq data, or: bulk backing vocals for single cell solos.

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

Somatic variant calling from single-cell DNA sequencing data

Computational and structural biotechnology journal

ProSolo: Accurate Variant Calling from Single Cell DNA Sequencing Data


[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

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

End-to-end Learning of Compressible Features

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

Supervised Compression for Resource-Constrained Edge Computing Systems


Classical shadows codes for quantum simulations of fermions and qubits, with error-mitigation routines for systems with symmetries

Predicting many properties of a quantum system from very few measurements

Group-theoretic error mitigation enabled by classical shadows and symmetries

Learning, Optimizing, and Simulating Fermions with Quantum Computers


Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them

Revisiting Temporal Modeling for Video-based Person ReID

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Video Person Re-ID: Fantastic Techniques and Where to Find Them

Fine-Grained Re-Identification


N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

SwinIR: Image Restoration Using Swin Transformer

Swin Transformer V2: Scaling Up Capacity and Resolution


(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings


Rainfall Rescue


Vectorized N-body code (Python)

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Orbits of the TOI-1338 and TIC-172900988 systems

Orbit determination of the moons of the Pluto–Charon system

Celestial mechanics & dynamical astronomy


This is all the code and data from the Pantheon analysis https://arxiv.org/abs/1710.00845

Planck 2018 results. VI. Cosmological parameters

Early Dark Energy can Resolve the Hubble Tension

On the Hubble Constant Tension in the SNe Ia Pantheon Sample

Oscillating scalar fields and the Hubble tension: A resolution with novel signatures

Cosmic microwave background bounds on primordial black holes including dark matter halo accretion

Can late dark energy transitions raise the Hubble constant?

On the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: A Feasibility Study for GRB-Cosmology in 2030

What can machine learning tell us about the background expansion of the Universe?

Null signal for the cosmic anisotropy in the Pantheon supernovae data

Is there really a Hubble tension?


[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Local and Global GANs with Semantic-Aware Upsampling for Image Generation


Useful resources for creating Design Artificial Intelligence

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

May AI? Design Ideation with Cooperative Contextual Bandits

Vinci: An Intelligent Graphic Design System for Generating Advertising Posters

International Conference on Human Factors in Computing Systems

Beauty in artistic expressions through the eyes of networks and physics

Designing with AI for Digital Marketing

User Modeling, Adaptation, and Personalization

Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study

Artificial intelligence for engineering design, analysis and manufacturing

Exemplar based experience transfer


DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

Equivariant message passing for the prediction of tensorial properties and molecular spectra

Recent advances and applications of deep learning methods in materials science

SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects

3D Infomax improves GNNs for Molecular Property Prediction

Graph-based Molecular Representation Learning


Training GANs with Optimism

A Convergent and Dimension-Independent First-Order Algorithm for Min-Max Optimization

A Convergent and Dimension-Independent Min-Max Optimization Algorithm


Optimized Utilities for PyTorch

Datamodels: Predicting Predictions from Training Data

TRAK: Attributing Model Behavior at Scale

Characterizing Datapoints via Second-Split Forgetting

Rethinking Backdoor Attacks

ModelDiff: A Framework for Comparing Learning Algorithms

A Simple and Efficient Baseline for Data Attribution on Images


AASC: ACL Anthology Sentence Corpus

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

Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers

Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database

Conference of the European Chapter of the Association for Computational Linguistics

FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models


A collection of optimization algorithms for maximizing unconstrained submodular set functions.

Interpretable Decision Sets: A Joint Framework for Description and Prediction

A Tight Linear Time (1/2)-Approximation for Unconstrained Submodular Maximization

Submodular Functions Maximization Problems

Handbook of Approximation Algorithms and Metaheuristics, Second Edition


Switchboard Dialog Act Corpus with Penn Treebank links

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Language Through a Prism: A Spectral Approach for Multiscale Language Representations

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Speaker Turn Modeling for Dialogue Act Classification

Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts

Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task

Speaker-change Aware CRF for Dialogue Act Classification

An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Ranking of Potential Questions

Meeting of the Association for Computational Linguistics


Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Conditional Sig-Wasserstein GANs for Time Series Generation

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Manifold Topology Divergence: a Framework for Comparing Data Manifolds

Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)

Time-series Generation by Contrastive Imitation

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting


A LoRa packet forwarder is a program running on the host of a LoRa gateway that forwards RF packets receive by the concentrator to a server through a IP/UDP link, and emits RF packets that are sent by the server. This project is associated to the lora_gateway repository for SX1301 chip. For SX1302/1303, the repository sx1302_hal must be used.

Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice

Blockchain-Based Security Model for LoRaWAN Firmware Updates


Time-Scale Modification For MATLAB

Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA)

Workshop on Applications of Signal Processing to Audio and Acoustics

A time-scale modification dataset with subjective quality labels

The Journal of the Acoustical Society of America

An objective measure of quality for time-scale modification of audio

Stereo Time-Scale Modification Using Sum and Difference Transformation

International Conference on Signal Processing and Communication Systems

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio


Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

EBF: A Hybrid Verification Tool for Finding Software Vulnerabilities in IoT Cryptographic Protocols.


Creative Commons Attribution Share Alike 4.0 International

The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.

Towards End-to-End Unified Scene Text Detection and Layout Analysis

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text
  Segmentation


Deep Learning for EM Connectomics

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Petascale neural circuit reconstruction: automated methods

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions


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

Learning to Answer Visual Questions from Web Videos

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


NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification and Combinatorial Optimisation.

AHP: Learning to Negative Sample for Hyperedge Prediction

Learnable Hypergraph Laplacian for Hypergraph Learning

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

Preventing Over-Smoothing for Hypergraph Neural Networks


Sloika is Oxford Nanopore Technologies' software for training neural network models for base calling

Performance of neural network basecalling tools for Oxford Nanopore sequencing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing


Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Rapid Earthquake Association and Location

Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array

Journal of Geophysical Research: Solid Earth


Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

KnowGPT: Knowledge Graph based Prompting for Large Language Models


Federated posterior averaging implemented in JAX

Adaptive Federated Optimization

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms


Max-margin DeepWalk

A Survey on Network Embedding

Network Representation Learning: A Survey

Max-margin deepwalk: discriminative learning of network representation

International Joint Conference on Artificial Intelligence

Force-directed graph embedding with hops distance


This repository is to develop novel AIs for complex C2 decision making. It consists of parallel branches for GUI and for AI development (coming soon) for the ARL Battlespace wargame.

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning

Battlespace: using AI to understand friendly vs. hostile decision dynamics in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III

Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics

ARL Battlespace: a platform for developing novel AI for complex adversarial reasoning in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV


Multiclass classification based on stochastic dual coordinate ascent

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Loss Functions for Top-k Error: Analysis and Insights

Top-k Multiclass SVM


A toolkit for LAMOST spectra.

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

The Astrophysical Journal Supplement Series

LAMOST Time-Domain Survey: First Results of four K2 plates

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters

Exploring the Stellar Rotation of Early-type Stars in the LAMOST Medium-resolution Survey. I. Catalog

Discovery of 2716 hot emission-line stars from LAMOST DR5

Identification of New Classical Be Stars from the LAMOST Medium Resolution Survey

hypergravity/laspec: A toolkit for LAMOST spectra.


Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

The Rise of Diffusion Models in Time-Series Forecasting

Improving Diffusion Models for ECG Imputation with an Augmented Template Prior


Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.

The 5th AI City Challenge

The 6th AI City Challenge

CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions


NEMO: cancer subtyping by integration of partial multi-omic data

Machine learning for multi-omics data integration in cancer

Evaluation and comparison of multi-omics data integration methods for cancer subtyping

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis


Implementation of AAAI2021 paper: Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation

3D human pose estimation in video with temporal convolutions and semi-supervised training

Semantic Graph Convolutional Networks for 3D Human Pose Regression

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion


Improving Transferability of Adversarial Examples with Input Diversity

Mitigating Adversarial Effects Through Randomization

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets

Adversarial Purification through Representation Disentanglement


Source code for the ICDE 2023 paper "Scaling Blockchain Consensus via a Robust Shared Mempool"

HotStuff: BFT Consensus with Linearity and Responsiveness

AFT - Streamlet: Textbook Streamlined Blockchains

Proceedings of the 2nd ACM Conference on Advances in Financial Technologies


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

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

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration

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

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


NeurIPS 2020 Spotlight Paper

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

On the Convergence of Continuous Constrained Optimization for Structure Learning

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Optimizing NOTEARS Objectives via Topological Swaps


The MNIST handwritten digit images transformed into a data set for sequence learning. This data set contains pen stroke sequences based on the original MNIST images.

Aligning Time Series on Incomparable Spaces

Incremental Sequence Learning

Continual Learning in Recurrent Neural Networks with Hypernetworks.


A curated list of awesome clonality and tumor heterogeneity resources

Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Tree inference for single-cell data

THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

qpure: A Tool to Estimate Tumor Cellularity from Genome-Wide Single-Nucleotide Polymorphism Profiles

Inferring Clonal Composition from Multiple Sections of a Breast Cancer

Reference-free inference of tumor phylogenies from single-cell sequencing data

International Conference on Computational Advances in Bio and Medical Sciences


The code of the AAAI-20 paper "Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation".

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting


Certifiable Robustness to Graph Perturbations

Adversarial Attack and Defense on Graph Data: A Survey

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More


Multilingual abstractive summarization dataset extracted from WikiHow.

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

To Adapt or to Fine-tune: A Case Study on Abstractive Summarization

Towards Zero-Shot Functional Compositionality of Language Models

SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization


Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"

Variational image compression with a scale hyperprior

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization

Selective compression learning of latent representations for variable-rate image compression


Improved Neural Relation Detection for Knowledge Base Question Answering

Simple Question Answering by Attentive Convolutional Neural Network

Incremental Knowledge Based Question Answering


Variational Auto-Encoder that generates synthetic gene expression data

Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

IEEE International Conference on Bioinformatics and Biomedicine

Correlated Variational Auto-Encoders

Variance Loss in Variational Autoencoders


a deep learning tool for the classification of biological sequences

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

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences

Journal of chemical information and modeling

The applications of deep learning algorithms on in silico druggable proteins identification

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

Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree

Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy

EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework

Computational and structural biotechnology journal

An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks


Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Early Stopping for Deep Image Prior

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors


Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]

Deep Group-shuffling Random Walk for Person Re-identification

End-to-End Deep Kronecker-Product Matching for Person Re-identification

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk

IEEE transactions on pattern analysis and machine intelligence


ROS-Industrial KUKA support (http://wiki.ros.org/kuka)

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

High Precision Real Time Collision Detection

DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control


PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded External Features


AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains


A script for audio/transcript alignment. Fork of p2fa.

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Talking Face Generation by Conditional Recurrent Adversarial Network

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions

Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset

IEEE transactions on affective computing

Attending to Emotional Narratives

Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives


High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Continuous learning of spiking networks trained with local rules


multi-dimensional statistical test with python

The First CHIME/FRB Fast Radio Burst Catalog

The Pristine Survey – VIII. The metallicity distribution function of the Milky Way halo down to the extremely metal-poor regime

Monthly Notices of the Royal Astronomical Society

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

Low-mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3: Mapping the star forming regions within 1.5 kpc

Stellar Spins in the Pleiades, Praesepe, and M35 Open Clusters

An observational correlation between magnetic field, angular momentum and fragmentation in the envelopes of Class 0 protostars?

Cosmological coupling of nonsingular black holes

An enquiry on the origins of N-rich stars in the inner Galaxy based on APOGEE chemical compositions

The Orbital Eccentricities of Directly Imaged Companions Using Observable-based Priors: Implications for Population-level Distributions

Re-examining the evidence of the Hercules-Corona Borealis Great Wall


ITAコーパスの文章リスト

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

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

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

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

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


Progressive Transformers for End-to-End Sign Language Production

Real-Time Sign Language Gesture (Word) Recognition from Video Sequences Using CNN and RNN

Advances in intelligent systems and computing

Sign Language Translation Using Multi Context Transformer

Mexican International Conference on Artificial Intelligence


Distilling the Knowledge in a Neural Network

Pruning Filters for Efficient ConvNets

Learned Step Size Quantization

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks


How To Backdoor Federated Learning

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

RoFL: Robustness of Secure Federated Learning


Domain based annotation of transposable elements

Chloranthus genome provides insights into the early diversification of angiosperms

Holocentromeres can consist of merely a few megabase-sized satellite arrays

Assembly of the 81.6 Mb centromere of pea chromosome 6 elucidates the structure and evolution of metapolycentric chromosomes

African Arowana Genome Provides Insights on Ancient Teleost Evolution

Sexy ways: approaches to studying plant sex chromosomes


VCF2Dis: A new simple and efficient software to calculate p-distance matrix and  construct population phylogeny  based Variant Call Format

Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication

High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

Frequent germplasm exchanges drive the high genetic diversity of Chinese-cultivated common apricot germplasm

Structural variations in papaya genomes

Whole genome resequencing data enables a targeted SNP panel for conservation and aquaculture of Oreochromis cichlid fishes

Harnessing landrace diversity empowers wheat breeding

Genome sequencing of Sitopsis species provides insights into their contribution to the B subgenome of bread wheat

Genomics of Dwarfism in Italian Local Chicken Breeds

A comparison of 25 complete chloroplast genomes between sister mangrove species Kandelia obovata and Kandelia candel geographically separated by the South China Sea


compact Earth system model

Historical CO2 emissions from land use and land cover change and their uncertainty

Path-dependent reductions in CO2 emission budgets caused by permafrost carbon release

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response

Aligning climate scenarios to emissions inventories shifts global benchmarks

How the Glasgow Declaration on Forests can help keep alive the 1.5 °C target

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

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers


Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm

The Forward-Forward Algorithm: Some Preliminary Investigations

Training Convolutional Neural Networks with the Forward-Forward algorithm

Going Forward-Forward in Distributed Deep Learning

LightFF: Lightweight Inference for Forward-Forward Algorithm

Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms


This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Modeling Relational Data with Graph Convolutional Networks

Learning to Generate Questions by Learning What not to Generate

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Graph Structural-topic Neural Network

Graph Attention Topic Modeling Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA


Learning and Building Convolutional Neural Networks using PyTorch

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

YOLOv3: An Incremental Improvement


Cyrus2014 Soccer simulation 2D team, 1st IranOpen2014, 5th Robocup2014

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

CYRUS Soccer Simulation 2D Team Description Paper 2022

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023


PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Feature Expansion for Graph Neural Networks

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

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


Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Multi-Task Learning as Multi-Objective Optimization

End-to-End Multi-Task Learning with Attention


CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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

Generalizing over Long Tail Concepts for Medical Term Normalization

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations


Code for all experiments.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Causal Semantic Representation for Out-of-Distribution Prediction

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine


Positive-instance driven dynamic programming for treewidth

Benchmarking treewidth as a practical component of tensor network simulations

Solving Vertex Cover in Polynomial Time on Hyperbolic Random Graphs

A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth


Python tool for colorizing and combining fits images.

A Significant Excess in Major Merger Rate for AGNs with the Highest Eddington Ratios at z < 0.2

GASTON: Galactic Star Formation with NIKA2-evidence for the mass growth of star-forming clumps

A Herschel study of G214.5-1.8: a young, cold and quiescent giant molecular filament on the shell of a HI superbubble


A simple yet versatile toolkit to setup quantum mechanical/molecular mechanical (QM/MM) calculations from molecular dynamics trajectories.

Effect of the QM Size, Basis Set, and Polarization on QM/MM Interaction Energy Decomposition Analysis

MoBioTools: A toolkit to setup quantum mechanics/molecular mechanics calculations

On the Permeation of Polychlorinated Dibenzodioxins and Dibenzofurans through Lipid Membranes: Classical MD and Hybrid QM/MM-EDA Analysis


A Language-Independent Unsupervised Morphological Segmentation Framework based on Adaptor Grammars

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation

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

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors

Meeting of the Association for Computational Linguistics

Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages

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

Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models

Findings of the Association for Computational Linguistics: EACL 2023


PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

Scalable Graph Neural Networks via Bidirectional Propagation

Topology-Imbalance Learning for Semi-Supervised Node Classification

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation

IGLU: Efficient GCN Training via Lazy Updates


Luxembourg SUMO Traffic (LuST) Scenario

Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data

ISPRS International Journal of Geo-Information

Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control

Analyzing cooperative monitoring and dissemination of critical mobile events by VANETs

Social-based Cooperation of Vehicles for Data Dissemination of Critical Urban Events

What am I testing and where? Comparing testing procedures based on lightweight requirements annotations

An Evolutionary Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (EHIT2FKRS) for Travel Route Assignment


Long term rotation period finding tool for NASA's TESS mission

Systematics-insensitive Periodogram for Finding Periods in TESS Observations of Long-period Rotators

A close-in giant planet escapes engulfment by its star

HD207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

Giant Outer Transiting Exoplanet Mass (GOT ’EM) Survey. III. Recovery and Confirmation of a Temperate, Mildly Eccentric, Single-transit Jupiter Orbiting TOI-2010


MagNet graph convolutional network

MagNet: A Neural Network for Directed Graphs

DIGRAC: Digraph Clustering Based on Flow Imbalance

A Graph Convolution for Signed Directed Graphs


Weighted Wavelet Z-Transform Code for Python

A 31.3 day Transient Quasiperiodic Oscillation in Gamma-ray Emission from Blazar S5 0716+714

Polarized Optical Emission of the Blazar PKS 1222+216: Discovery of a 420 day Quasiperiodic Signal

The Detection of Possible Transient Quasiperiodic Oscillations in the γ-Ray Light Curve of PKS 0244-470 and 4C+38.41

eaydin/WWZ: First release

Intermittent properties of the quasi-periodic oscillations of MAXI J1820+070 revealed by Insight-HXMT


[NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation

Visualizing the Loss Landscape of Neural Nets

Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning


Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".

Empirical Methods in Natural Language Processing

Enhanced Language Representation with Label Knowledge for Span Extraction

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

EventGraph: Event Extraction as Semantic Graph Parsing


NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Geometry-Aware Gradient Algorithms for Neural Architecture Search

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation

Zero-Cost Operation Scoring in Differentiable Architecture Search

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation


Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning


[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search

Algorithm Evolution Using Large Language Model

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library

DevFormer: A Symmetric Transformer for Context-Aware Device Placement


Fitting potential energy surface using monomial symmetrization approach

Automating the Development of High-Dimensional Reactive Potential Energy Surfaces with the ROBOSURFER Program System

Journal of chemical theory and computation

q-AQUA: A Many-Body CCSD(T) Water Potential, Including Four-Body Interactions, Demonstrates the Quantum Nature of Water from Clusters to the Liquid Phase.

The journal of physical chemistry letters

Breaking the Coupled Cluster Barrier for Machine-Learned Potentials of Large Molecules: The Case of 15-Atom Acetylacetone

A Δ-machine learning approach for force fields, illustrated by a CCSD(T) 4-body correction to the MB-pol water potential

Quantum Calculations on a New CCSD(T) Machine-Learned Potential Energy Surface Reveal the Leaky Nature of Gas-Phase Trans and Gauche Ethanol Conformers

No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials


Relativistic hydro and local cooling on a moving mesh

GAMMA: a new method for modeling relativistic hydrodynamics and non-thermal emission on a moving mesh.

Analytic Model for Off-Axis GRB Afterglow Images – Geometry Measurement and Implications for Measuring H_0

The structure and evolution of relativistic jetted blast waves


Force fields in various formats

MD simulation of HpTonB(30-285) in 150mM NaCl with Amber ff03ws force field

Zenodo (CERN European Organization for Nuclear Research)

Mutated EN2(143-259) simulation with Amber ff03ws


TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

International Conference on Information and Knowledge Management

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning

Variational Information Diffusion for Probabilistic Cascades Prediction

International Conference on Computer Communications


[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

Deep learning models fail to capture the configural nature of human shape perception

Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network

A Spectral Theory of Neural Prediction and Alignment

Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?


An automated assembly pipeline for microbial genomes

Staphylococcus aureus from patients with chronic rhinosinusitis show minimal genetic association between polyp and non-polyp phenotypes

Completing the Genome Sequence of Chlamydia pecorum Strains MC/MarsBar and DBDeUG: New Insights into This Enigmatic Koala (Phascolarctos cinereus) Pathogen

Comparative genomics of Nocardia seriolae reveals recent importation and subsequent widespread dissemination in mariculture farms in the South Central Coast region, Vietnam

Genomic epidemiology reveals geographical clustering of multidrug-resistant Escherichia coli ST131 associated with bacteraemia in Wales


BemTool is a C++ boundary element library.

Robust treatment of cross points in Optimized Schwarz Methods

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem


GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718

IEEE Transactions on Knowledge and Data Engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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

Robust Dynamic Network Embedding via Ensembles


DOCK 6: Impact of new features and current docking performance

Fast, accurate, and reliable molecular docking with QuickVina 2

Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration

PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking

Journal of bioinformatics and computational biology

GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking

FWAVina: A novel optimization algorithm for protein-ligand docking based on the fireworks algorithm


Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Universal Jailbreak Backdoors from Poisoned Human Feedback

Competition Report: Finding Universal Jailbreak Backdoors in Aligned
  LLMs


SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning  (NeurIPS D&B Track 2024)

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

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large
  Language Models


script necessary for aligning surfaces (derived from the dHCP structural pipeline) to the dHCP surface template space

Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth

Individual patterns of functional connectivity in neonates as revealed by surfaced-based Bayesian modeling


RoBERTa models for Polish

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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

Pre-training Polish Transformer-based Language Models at Scale

TrelBERT: A pre-trained encoder for Polish Twitter

Workshop on Balto-Slavic Natural Language Processing

Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot

Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language


Plot research data from Svalbard on maps

Changes in Sea-Ice Protist Diversity With Declining Sea Ice in the Arctic Ocean From the 1980s to 2010s

Arctic coastal benthos long-term responses to perturbations under climate warming

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

Dynamics of organic matter and bacterial activity in the Fram Strait during summer and autumn

The Influence of Sea Ice Cover and Atlantic Water Advection on Annual Particle Export North of Svalbard

Subglacial upwelling in winter/spring increases under-ice primaryproduction

Sea water temperature and light intensity at high-Arctic subtidal shallows – 16 years perspective


A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Entropic Out-of-Distribution Detection

International Joint Conference on Neural Network

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

IEEE transactions on neural networks and learning systems

Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy


x-transformers-paddle 2.x version

Highly accurate protein structure prediction with AlphaFold

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

End-to-End Object Detection with Transformers

Swin Transformer V2: Scaling Up Capacity and Resolution

Attention on Attention for Image Captioning

GLU Variants Improve Transformer

CogView: Mastering Text-to-Image Generation via Transformers

Stabilizing Transformers for Reinforcement Learning

ReZero is All You Need: Fast Convergence at Large Depth

Transformers without Tears: Improving the Normalization of Self-Attention


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

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

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

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

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


Multiscale Dynamic Human Mobility Flow Data in the U.S. during the COVID-19 epidemic

Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic

A Deep Gravity model for mobility flows generation

Enhancing short-term crime prediction with human mobility flows and deep learning architectures

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information

When Geoscience Meets Generative AI and Large Language Models:
  Foundations, Trends, and Future Challenges

Social vulnerability amplifies the disparate impact of mobility on COVID-19 transmissibility across the United States

Humanities and Social Sciences Communications

Bringing Spatial Interaction Measures into Multi-Criteria Assessment of Redistricting Plans Using Interactive Web Mapping


Language family classifications as Newick trees

Languages Support Efficient Communication about the Environment: Words for Snow Revisited

Making genealogical language classifications available for phylogenetic analysis

Defining and Counting Phonological Classes in Cross-linguistic Segment Databases


A challenge to explore adversarial robustness of neural networks on MNIST.

Towards Deep Learning Models Resistant to Adversarial Attacks

Robustness May Be at Odds with Accuracy

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Generating Adversarial Examples with Adversarial Networks

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Exploring the Landscape of Spatial Robustness

Towards the first adversarially robust neural network model on MNIST

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

MMA Training: Direct Input Space Margin Maximization through Adversarial Training


The Soft/Hard Inference through Classification tool for detecting hard and soft selective sweeps

S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning

Soft Sweeps Are the Dominant Mode of Adaptation in the Human Genome

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Genomic regions linked to soft sweeps approximate neutrality when inferring population history from site pattern frequencies


Unofficial implementation of AlpaGasus

GPT-4 Technical Report

AlpaGasus: Training A Better Alpaca with Fewer Data

Instruction Tuning With Loss Over Instructions


Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass

Whole‐genome sequencing of SARS‐CoV‐2: Comparison of target capture and amplicon single molecule real‐time sequencing protocols

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing

VCFCons: a versatile VCF-based consensus sequence generator for small genomes


Code for our CVPR 2019 paper, HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds.

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

International Journal of Computer Vision


Stellar binary light curve synthesis tool

DISCOVERY OF THE OPTICAL COUNTERPARTS TO FOUR ENERGETIC FERMI MILLISECOND PULSARS

An irradiated brown-dwarf companion to an accreting white dwarf

Multiband Studies of the Optical Periodic Modulation in the X-Ray Binary SAX~J1808.4-3658 during Its Quiescence and 2008 Outburst

A Dense Companion to the Short-period Millisecond Pulsar Binary PSR J0636+5128

Neutron star mass estimates from gamma-ray eclipses in spider millisecond pulsar binaries

The long-term evolution of the X-ray pulsar XTE J1814-338: A receding jet contribution to the quiescent optical emission?

Mid-UV studies of the transitional millisecond pulsars XSS J12270-4859 and PSR J1023+0038 during their radio pulsar states

Monthly Notices of the Royal Astronomical Society

Irradiated but not eclipsed, the case of PSR J0610-2100


Norwegian Named Entities annotations on top of NDT (Norwegian Dependency Treebank)

Large-Scale Contextualised Language Modelling for Norwegian

NorNE: Annotating Named Entities for Norwegian

NorBench -- A Benchmark for Norwegian Language Models

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer


Qopen: Separation of intrinsic and scattering Q by envelope inversion

Seismic scattering and absorption parameters in the W-Bohemia/Vogtland region from elastic and acoustic radiative transfer theory

Measurement of intrinsic and scattering attenuation of shear waves in two sedimentary basins and comparison to crystalline sites in Germany

Crustal intrinsic and scattering attenuation of high‐frequency shear waves in the contiguous United States

Journal of Geophysical Research: Solid Earth

Fast and Robust Earthquake Source Spectra and Moment Magnitudes from Envelope Inversion

Induced Earthquake Source Parameters, Attenuation, and Site Effects From Waveform Envelopes in the Fennoscandian Shield


Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Randomized Exploration for Reinforcement Learning with General Value Function Approximation

Automating Control of Overestimation Bias for Reinforcement Learning

Model-free Policy Learning with Reward Gradients

Highway Reinforcement Learning


plots things that are not boxplots

A role for the cortex in sleep-wake regulation

Confidence Predictions Affect Performance Confidence and Neural Preparation in Perceptual Decision Making.

Longitudinal functional brain network reconfiguration in healthy aging

Anterior cingulate cortex differently modulates fronto-parietal functional connectivity between resting-state and working memory tasks

XLF acts as a flexible connector during non-homologous end joining

Estimations of the weather effects on brain functions using functional MRI: A cautionary note

Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function

A genetically defined tecto-thalamic pathway drives a system of superior-colliculus-dependent visual cortices

Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence

Semi-variance optimization for the components of the Dow Jones Industrial Average index


Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Memory-aware curriculum federated learning for breast cancer classification

Differences between human and machine perception in medical diagnosis

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Meta-repository of screening mammography classifiers

Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms


A collection of digital forestry tools for Matlab/Octave


This project implements ETX metric in AODV routing protocol in NS3 simulator

Joint traffic-aware UAV placement and predictive routing for aerial networks

A Framework for Performance Evaluation of VANETs Using NS-3 Simulator

A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks


SkillMEx is a novel manufacturing execution system (MES) based on semantically modelled skills of machines. SkillMEx uses a knowledge graph to manage skills and execute them. BPMN is used to model and execute complex production processes.

Modeling and Executing Production Processes with Capabilities and Skills using Ontologies and BPMN

A Mapping Approach to Convert MTPs into a Capability and Skill Ontology

Model-Based Engineering of CPPS Functions and Code Generation for Skills


Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

A Review of Formal Methods applied to Machine Learning


A simple Python module for reading and analyzing data from C2Ray and CubeP3M data files.

Einstein's Universe: Cosmological structure formation in numerical relativity

The Trouble with Hubble: Local versus Global Expansion Rates in Inhomogeneous Cosmological Simulations with Numerical Relativity

Signatures of primordial gravitational waves in matter power spectrum

Inhomogeneous cosmology in an anisotropic Universe


Tensorflow implementation of Hyperspherical Variational Auto-Encoders

TensorFlow Distributions

Adversarial Autoencoders with Constant-Curvature Latent Manifolds


A simple module to collect video, text, and metadata from Tiktok.

Remixing war: An analysis of the reimagination of the Russian–Ukraine war on TikTok

ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election

Self-Expression and Sharing around Chronic Illness on TikTok

GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022
  Attempted Coup in Peru


A Live Movie Rating Dataset Collected From Twitter

Next Item Recommendation with Self-Attention

Evaluating Recommender Systems: Survey and Framework

Combining similarity and sentiment in opinion mining for product recommendation

Journal of Intelligent Information Systems

HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence

ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling

Coupled Variational Recurrent Collaborative Filtering

Text-based Sentiment Analysis and Music Emotion Recognition


Feature extractor for DL speech processing.

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep speech inpainting of time-frequency masks

Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing

Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing

A novel audio representation using space filling curves


Camoscio: An Italian instruction-tuned language model based on LLaMA

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

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

Camoscio: an Italian Instruction-tuned LLaMA

PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny
  Detection in Italian Tweets


JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Connecting the Dots: Towards Human-Level Grammatical Error Correction

Workshop on Innovative Use of NLP for Building Educational Applications

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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


Tools for Insteon RF

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

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

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