Repository containing the open source code of works published at the FBK MT unit.

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation

Attention as a Guide for Simultaneous Speech Translation

Does Simultaneous Speech Translation need Simultaneous Models?

Efficient yet Competitive Speech Translation: FBK@IWSLT2022

AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP

TransLLaMa: LLM-based Simultaneous Translation System

Direct Speech Translation for Automatic Subtitling

Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora


This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

Generalized End-to-End Loss for Speaker Verification

X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network

Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition

Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech

Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits

Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss

SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System

Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering

DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Parameter-Free Attentive Scoring for Speaker Verification


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

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

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

UNO: Unifying Host and Smart NIC Offload for Flexible Packet Processing

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

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

Symposium on Operating Systems Principles

Xenic: SmartNIC-Accelerated Distributed Transactions

Automated SmartNIC Offloading Insights for Network Functions

Autonomous NIC offloads

International Conference on Architectural Support for Programming Languages and Operating Systems

A Case for SmartNIC-accelerated Private Communication

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

Accelerating Flow Processing Middleboxes with Programmable NICs

Exploring Mellanox Bluefield SmartNICs as Accelerators for Heterogeneous Architectures


A placeholder for all my random scripts.  Some scripts might eventually graduate and go to their own projects, so don't be surprised if anything leaves in the future.

Whole genome sequencing of emerging multidrug resistant Candida auris isolates in India demonstrates low genetic variation

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Antibiotic Resistance in Shiga Toxigenic Escherichia coli Isolates from Surface Waters and Sediments in a Mixed Use Urban Agricultural Landscape

Characterization of a Nonagglutinating Toxigenic Vibrio cholerae Isolate


An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Developmental Perspective on Executive Function

What is consciousness, and could machines have it?

The seven tools of causal inference, with reflections on machine learning

Integrated Task and Motion Planning

Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power

Rethinking Executive Function and Its Development

Perspectives on psychological science : a journal of the Association for Psychological Science

Two Lines: A Valid Alternative to the Invalid Testing of U-Shaped Relationships With Quadratic Regressions

The AHA! Experience: Creativity Through Emergent Binding in Neural Networks

Childhood as a solution to explore–exploit tensions

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

The Interactive Evolution of Human Communication Systems


CRU CL v. 2.0 Climatology Client for R


Implementation of the HYPE hypergraph partitioner.

High-Quality Hypergraph Partitioning

HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion

Shared-Memory n-level Hypergraph Partitioning


An R package wrapping the US Energy Information Administration open data API.


[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity


Pytorch implementation of Hyperspherical Variational Auto-Encoders

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Variational Autoencoder with Learned Latent Structure

Representing Closed Transformation Paths in Encoded Network Latent Space

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein

Maximum likelihood estimation of the Fisher–Bingham distribution via efficient calculation of its normalizing constant

Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation


GUI for OPEM library

OPEM : Open Source PEM Cell Simulation Tool


Towards A Standardized Tag Recommender Benchmarking Framework

Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach

The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

Modeling Popularity and Temporal Drift of Music Genre Preferences

Transactions of the International Society for Music Information Retrieval

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Recommending Items in Social Tagging Systems Using Tag and Time Information

Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender

Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations


Snow and ice albedo modelling in Python

Glacier algae accelerate melt rates on the south-western Greenland Ice Sheet

Neither dust nor black carbon causing apparent albedo decline in Greenland's dry snow zone: Implications for MODIS C5 surface reflectance

SNICAR-ADv3: a community tool for modeling spectral snow albedo

A Flexible Parameterization for Shortwave Optical Properties of Ice Crystals*

Intercomparison and improvement of two-stream shortwave radiative transfer schemes in Earth system models for a unified treatment of cryospheric surfaces

Quantifying bioalbedo: A new physically-based model and critique of empirical
methods for characterizing biological influence on ice and snow albedo

Glacier algae accelerate melt rates on the western Greenland Ice Sheet


Python-based Fermi-Löwdin orbital self-interaction-correction

Stretched or noded orbital densities and self-interaction correction in density functional theory.

Interpretation and Automatic Generation of Fermi‐Orbital Descriptors

PyFLOSIC: Python-based Fermi-Löwdin orbital self-interaction correction.


Qt-Platz (Qt based Scientific Software Foundation)

Attempts to Detect Lipid Metabolites from a Single Cell Using Proton-Transfer-Reaction Mass Spectrometry Coupled with Micro-Scale Supercritical Fluid Extraction: A Preliminary Study

Rapid Analysis of α-Tocopherol and Its Oxidation Products Using Supercritical Carbon Dioxide and Proton Transfer Reaction Ionization Mass Spectrometry

A Method for High Throughput Free Fatty Acids Determination in a Small Section of Bovine Liver Tissue Using Supercritical Fluid Extraction Combined with Supercritical Fluid Chromatography-Medium Vacuum Chemical Ionization Mass Spectrometry


An Open Source Python package for the extraction of fine-grained and time-stamped co-editing networks from git repositories.

git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net


10x Genomics Single Cell Analysis

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

CD28 costimulation drives tumor-infiltrating T cell glycolysis to promote inflammation

Pro-inflammatory T helper 17 directly harms oligodendrocytes in neuroinflammation

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

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

The immune landscape of human thymic epithelial tumors

Peptide vaccine-treated, long-term surviving cancer patients harbor self-renewing tumor-specific CD8+ T cells

Gli3 utilizes Hand2 to synergistically regulate tissue-specific transcriptional networks

ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Contact-Dependent Granzyme B-Mediated Cytotoxicity of Th17-Polarized Cells Toward Human Oligodendrocytes


Recurrent Models of Visual Attention

Deep Attention Recurrent Q-Network

Learning from the memory of Atari 2600


Code for processing and analyzing the automated reconstruction of the Lee lab's Female Adult Nerve Cord EM dataset

Tools for comprehensive reconstruction and analysis ofDrosophilamotor circuits

Synaptic architecture of leg and wing premotor control networks in Drosophila

Comparative connectomics of the descending and ascending neurons of theDrosophilanervous system: stereotypy and sexual dimorphism


Creative Commons Attribution 4.0 International

Data, in citable form, produced by the Coudert research group

Heterometallic Metal–Organic Frameworks of MOF-5 and UiO-66 Families: Insight from Computational Chemistry

On the use of the IAST method for gas separation studies in porous materials with gate-opening behavior

Isolating the Role of the Node-Linker Bond in the Compression of UiO-66 Metal-Organic Frameworks

Emergence of Coupled Rotor Dynamics in Metal–Organic Frameworks via Tuned Steric Interactions

Journal of the American Chemical Society

Chiral Lanthanum Metal–Organic Framework with Gated CO2 Sorption and Concerted Framework Flexibility

van der Waals forces stabilize low-energy polymorphism in B 2 O 3 : Implications for the crystallization anomaly

Conformational chiral polymorphism in cis-bis-triphenylphosphine complexes of transition metals


⛓ Long Interval Nucleotide K-mer Scaffolder

LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads

De novo phased assembly of the Vitis riparia grape genome

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity


Open Plant Pathology website


Ropsten public testnet PoW chain

Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management

Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care

GDPR Compliance Verification in Internet of Things

A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

Enforceable Data Sharing Agreements Using Smart Contracts

SoK: A Stratified Approach to Blockchain Decentralization

CertificateChain: decentralized healthcare training certificate management system using blockchain and smart contracts

A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

A Modified Hybrid Blockchain Framework for Secured Data Transaction

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports


PacBio Assembly Tool Suite: Reads in ⇨ Assembly out

Spatial inter-centromeric interactions facilitated the emergence of evolutionary new centromeres

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Population Genomic Approaches for Weed Science


A Python API for Botometer by OSoMe

The Rise of Social Bots

BotOrNot: A System to Evaluate Social Bots

Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

International Conference on Advances in Social Networks Analysis and Mining

Arming the public with artificial intelligence to counter social bots

Scalable and Generalizable Social Bot Detection through Data Selection

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Detection of Novel Social Bots by Ensembles of Specialized Classifiers

International Conference on Information and Knowledge Management

Who Falls for Online Political Manipulation?

Botometer 101: social bot practicum for computational social scientists

Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic

Journal of the American Medical Informatics Association : JAMIA

An Analysis of the Twitter Discussion on the 2016 Austrian Presidential Elections


QuAcK: a software for emerging quantum electronic structure methods

Weight dependence of local exchange–correlation functionals in ensemble density-functional theory: double excitations in two-electron systems

Dynamical correction to the Bethe-Salpeter equation beyond the plasmon-pole approximation.

Potential Energy Surfaces without Unphysical Discontinuities: The Coulomb Hole Plus Screened Exchange Approach.

Journal of chemical theory and computation

Spin-Conserved and Spin-Flip Optical Excitations from the Bethe–Salpeter Equation Formalism

Unphysical discontinuities, intruder states and regularization in GW methods.

Static and dynamic Bethe-Salpeter equations in the T-matrix approximation.

Connections between many-body perturbation and coupled-cluster theories

The three channels of many-body perturbation theory: GW, particle-particle, and electron-hole T-matrix self-energies

A similarity renormalization group approach to Green's function methods

The GW Approximation: A Quantum Chemistry Perspective


Nextflow RNA-Seq Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.

Toll-like receptor signaling in thymic epithelium controls monocyte-derived dendritic cell recruitment and Treg generation

Gene Expression and Epigenetic Changes in Mice Following Inhalation of Copper(II) Oxide Nanoparticles

The Differential Effect of Carbon Dots on Gene Expression and DNA Methylation of Human Embryonic Lung Fibroblasts as a Function of Surface Charge and Dose

International journal of molecular sciences

Ginsenoside Rg3 Reduces the Toxicity of Graphene Oxide Used for pH-Responsive Delivery of Doxorubicin to Liver and Breast Cancer Cells

Effects of overexpression of STB5 in Saccharomyces cerevisiae on fatty acid biosynthesis, physiology and transcriptome

Multi-Omics Characterization of a Human Stem Cell-Based Model of Cardiac Hypertrophy


Deep learning framework for MRI reconstruction

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

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

DIRECT: Deep Image REConstruction Toolkit

Deep MRI Reconstruction with Radial Subsampling

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems

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

The state-of-the-art in Cardiac MRI Reconstruction: Results of the
  CMRxRecon Challenge in MICCAI 2023

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


The circularity.ID Open Data Standard. The standard represents the results and findings of an extensive six-year research into the needs of stakeholders in the fashion industry to achieve a circular economy.


ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods

Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method

Reduced basis model order reduction for Navier–Stokes equations in domains with walls of varying curvature

International journal of computational fluid dynamics

A Spectral Element Reduced Basis Method for Navier–Stokes Equations with Geometric Variations

PERFORM: A Python package for developing reduced-order models for reacting fluid flows

Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier–Stokes Equations


Agrolib are a set of libraries for agrometeorological modeling and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.


Data science for wildfire risk forecasting and monitoring


A Testing Utility for Scratch 3.0

Automated test generation for Scratch programs

Neuroevolution-Based Generation of Tests and Oracles for Games

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Search-based Testing for Scratch Programs

Model-based Testing of Scratch Programs


This is a github repository of the abandonware Sequitur G2P by Bisani & Ney

Joint Approach to Deromanization of Code-mixed Texts

VietMed: A Dataset and Benchmark for Automatic Speech Recognition of
  Vietnamese in the Medical Domain

Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech

Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project

A Multi-Orthography Parallel Corpus of Yiddish Nouns

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


Biopet docs

Full-length mRNA sequencing uncovers a widespread coupling between transcription initiation and mRNA processing

Retrospective Validation of a Metagenomic Sequencing Protocol for Combined Detection of RNA and DNA Viruses Using Respiratory Samples from Pediatric Patients

The Journal of molecular diagnostics : JMD

The Cortisol Response of Male and Female Choroidal Endothelial Cells: Implications for Central Serous Chorioretinopathy

The Journal of clinical endocrinology and metabolism

Vascular Tumor Recapitulated in Endothelial Cells from hiPSCs Engineered to Express the SERPINE1-FOSB Translocation

Tissue microenvironment dictates the state of human induced pluripotent stem cell-derived endothelial cells of distinct developmental origin in 3D cardiac microtissues


SmartR

Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases

SmartR: an open-source platform for interactive visual analytics for translational research data

Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium


Fermat's Last Theorem for regular primes

Formalized Class Group Computations and Integral Points on Mordell Elliptic Curves

Formalization of p-adic L-functions in Lean 3


(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Machine Learning at the Network Edge: A Survey


The overall codebase developed and used by the Vertebrate Resequencing group at the Sanger Institute

Epidemic of carbapenem-resistant Klebsiella pneumoniae in Europe is driven by nosocomial spread

Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data

Genomic insights into the 2016–2017 cholera epidemic in Yemen

The Emergence of Successful Streptococcus pyogenes Lineages through Convergent Pathways of Capsule Loss and Recombination Directing High Toxin Expression

Rapid multi-locus sequence typing direct from uncorrected long reads using Krocus

Methodology for Whole-Genome Sequencing of Methicillin-Resistant Staphylococcus aureus Isolates in a Routine Hospital Microbiology Laboratory

Comparative genomics identifies potential virulence factors in Clostridium tertium and C. paraputrificum

Contrasting approaches to genome-wide association studies impact the detection of resistance mechanisms in Staphylococcus aureus

Circulation of enterotoxigenic Escherichia coli (ETEC) isolates expressing CS23 from the environment to clinical settings


Source code for Trase API and Frontend applications


Main Portal page for the Jackson project

Initialize once, start fast: application initialization at build time

Proceedings of the ACM on Programming Languages

Mining API usage scenarios from stack overflow

Understanding How and Why Developers Seek and Analyze API-Related Opinions

TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

Automatic API Usage Scenario Documentation from Technical Q&A Sites

A Survey of JSON-compatible Binary Serialization Specifications

Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies

Augmenting Diffs With Runtime Information

Flextory: Flexible Software Factory of IoT Data Consumers

Enhancing CryptoGuards Deployability for Continuous Software Security Scanning


OpenStack Compute (Nova). Mirror of code maintained at opendev.org.

How bugs are born: a model to identify how bugs are introduced in software components

Understanding code snippets in code reviews

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities


Swarm Classic: a container clustering system. Not to be confused with Docker Swarm which is at https://github.com/docker/swarmkit

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

λ-NIC: Interactive Serverless Compute on Programmable SmartNICs

On Byzantine fault tolerance in multi-master Kubernetes clusters

Performance Evaluation of Container Orchestration Tools in Edge Computing Environments

Intelligent Task Dispatching and Scheduling Using a Deep Q-Network in a Cluster Edge Computing System

A Blockchain-Based Decentralized Self-balancing Architecture for the Web of Things

Symposium on Advances in Databases and Information Systems

i2kit: A Tool for Immutable Infrastructure Deployments based on Lightweight Virtual Machines specialized to run Containers

A Blockchain Protocol for Real-Time Application Migration on the Edge


PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Label Refinery: Improving ImageNet Classification through Label Progression

Symposium on Field Programmable Gate Arrays


Graph-based alignment (Hierarchical Graph FM index)

Esr1+ cells in the ventromedial hypothalamus control female aggression

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

Residual chlorine disrupts the microbial communities and spreads antibiotic resistance in freshwater

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

Gapless genome assembly of azalea and multi-omics investigation into divergence between two species with distinct flower color

Long Read Single-Molecule Real-Time Sequencing Elucidates Transcriptome-Wide Heterogeneity and Complexity in Esophageal Squamous Cells

Pig‐specific RNA editing during early embryo development revealed by genome‐wide comparisons

RNA-Seq Reveals the Underlying Molecular Mechanism of First Cleavage Time Affecting Porcine Embryo Development

Genome-wide characterization of Mariner-like transposons and their derived MITEs in the Whitefly Bemisia tabaci (Hemiptera: Aleyrodidae)

Transcriptomics reveals the molecular regulation of Chinese medicine formula on improving bone quality in broiler


hacked ported version for octave from the  borre/akos code

GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability

Set-Valued Shadow Matching Using Zonotopes for 3D-Map-Aided GNSS Localization

Robust GPS-Vision Localization via Integrity-Driven Landmark Attention

Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments


Code release for "Improved baselines for vision-language pre-training"

Learning Transferable Visual Models From Natural Language Supervision

Bootstrap your own latent: A new approach to self-supervised Learning

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Scalable Diffusion Models with Transformers

Gated Linear Attention Transformers with Hardware-Efficient Training

Scalable Diffusion Models with State Space Backbone


The official code for Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention

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

Quantifying Attention Flow in Transformers

Transformer Interpretability Beyond Attention Visualization


The nbench benchmark ported to SGX.

Mitigating Branch-Shadowing Attacks on Intel SGX using Control Flow Randomization

HyperEnclave: An Open and Cross-platform Trusted Execution Environment

GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments

Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance


A presentation on Augmented CycleGAN and the papers that lead up to it

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

Conditional Generative Adversarial Nets

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

Entropic Neural Optimal Transport via Diffusion Processes


Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Stochastic Iterative Graph Matching

Unsupervised Manifold Alignment with Joint Multidimensional Scaling

Adaptive Softassign via Hadamard-Equipped Sinkhorn


Explainable Security in SDN-Based IoT Networks

A Novel SDN Dataset for Intrusion Detection in IoT Networks

Conference on Network and Service Management

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning


Models and examples built with TensorFlow

Dynamic Routing Between Capsules

Controversial stimuli: Pitting neural networks against each other as models of human cognition

Attention routing between capsules

Sparse Unsupervised Capsules Generalize Better

Capsule Networks with Max-Min Normalization

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal

Limitations of routing-by-agreement based capsule networks.

Fast Inference in Capsule Networks Using Accumulated Routing Coefficients

Shifting Capsule Networks from the Cloud to the Deep Edge

Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al


useful bits of code for programming and analysis in R

Sanitation, hookworm, anemia, stunting, and wasting in primary school children in southern Ethiopia: Baseline results from a study in 30 schools

Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls

Collective close calling mediates group cohesion in foraging meerkats via spatially determined differences in call rates

Ellenberg's indicator values support prediction of suitable habitat for pre-diapause larvae of endangered butterfly Euphydryas aurinia

Engagement with narrative characters: the role of social-cognitive abilities and linguistic viewpoint

The missing-VP effect in readers of English as a second language

Laysan albatross exhibit complex behavioral plasticity in the subtropical and subarctic North Pacific Ocean


Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"

Anomaly Detection via Reverse Distillation from One-Class Embedding

Student-Teacher Feature Pyramid Matching for Anomaly Detection

IEEE International Conference on Computer Vision


Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"

ZARA: Improving Few-Shot Self-Rationalization for Small Language Models

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning


Transform data supporting the IEA Netzero2050 Roadmap (2021) to the IAMC format


Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation

Visualizations of Deep Neural Networks in Computer Vision: A Survey

TRANSPARENT DATA MINING FOR BIG AND SMALL DATA

Trends in Explainable AI (XAI) Literature


MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

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

A Comprehensive Survey on Community Detection With Deep Learning

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

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

Graph Learning based Recommender Systems: A Review

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Characterizing and Understanding HGNNs on GPUs

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network


This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Backdoor Attack through Frequency Domain

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Backdoor Defense via Deconfounded Representation Learning


code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation


Learning Transferable Visual Models From Natural Language Supervision

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Ask Your Distribution Shift if Pre-Training is Right for You


Code and data for IJCAI-17 paper Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

An Adversarial Transfer Network for Knowledge Representation Learning


Implementation of various state of the art architectures used in computer vision.

Attention Is All You Need

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

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

MLP-Mixer: An all-MLP Architecture for Vision

Single Image Super-Resolution via a Holistic Attention Network

Fastformer: Additive Attention Can Be All You Need


an efficient method for detecting adversarial image examples

Explaining and Harnessing Adversarial Examples

Towards Evaluating the Robustness of Neural Networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing


[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)

Hyperbolic Graph Convolutional Neural Networks

Neural Manifold Ordinary Differential Equations

Riemannian Residual Neural Networks

Adaptive Log-Euclidean Metrics for SPD Matrix Learning


Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

Local Gradients Smoothing: Defense against localized adversarial attacks

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

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


Artificial Bee Colony algorithm for Python

Binary artificial bee colony optimization

A modified scout bee for artificial bee colony algorithm and its performance on optimization problems

Journal of King Saud University: Computer and Information Sciences

Polygonal Approximation Using an Artificial Bee Colony Algorithm


Urdu Language Speech Emotional Corpus

Cross corpus multi-lingual speech emotion recognition using ensemble learning

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages

Introducing the Urdu-Sindhi Speech Emotion Corpus: A Novel Dataset of Speech Recordings for Emotion Recognition for Two Low-Resource Languages

International Journal of Advanced Computer Science and Applications


Smart RFI removal algorithms to be used on folded pulsar search and timing data

Discovery of a radio-emitting neutron star with an ultra-long spin period of 76 s

Five new real-time detections of fast radio bursts with UTMOST

Monthly Notices of the Royal Astronomical Society

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing

MKT J170456.2-482100: the first transient discovered by MeerKAT

Zenodo (CERN European Organization for Nuclear Research)

Radio and X-ray observations of giant pulses from XTE J1810-197

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

The GMRT High Resolution Southern Sky Survey for Pulsars and Transients. III. Searching for Long-period Pulsars

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

CHIME Discovery of a Binary Pulsar with a Massive Nondegenerate Companion


Religious Hate Speech Detection for Arabic Tweets

A Deep Learning Approach for Automatic Hate Speech Detection in the Saudi Twittersphere

Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach

Workshop on Arabic Natural Language Processing

Toxic language detection: A systematic review of Arabic datasets


Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

The Grammar of Emergent Languages

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Meeting of the Association for Computational Linguistics

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)


Targeted in situ genome-wide profiling with high efficiency for low cell numbers

C/EBPB-dependent adaptation to palmitic acid promotes tumor formation in hormone receptor negative breast cancer

UTX promotes CD8+ T cell-mediated antiviral defenses but reduces T cell durability

An Alzheimer’s disease-associated common regulatory variant in PTK2B has causal effects on microglial function


Yuck is a local-search constraint solver with FlatZinc interface

A Framework for Generating Informative Benchmark Instances

Generating Local Search Neighborhood with Synthesized Logic Programs


"Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

Locally Constant Networks


Machine Learning for photo-Z

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Anomaly detection for machine learning redshifts applied to SDSS galaxies

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection


Taxonomic classification of viruses at Order and Family level

Stability of the human gut virome and effect of gluten-free diet

Biases in Viral Metagenomics-Based Detection, Cataloguing and Quantification of Bacteriophage Genomes in Human Faeces, a Review

Metagenomic investigation of the equine faecal microbiome reveals extensive taxonomic diversity

Hi-C Metagenomics in the ICU: Exploring Clinically Relevant Features of Gut Microbiome in Chronically Critically Ill Patients

Virome Sequencing of the Human Intestinal Mucosal–Luminal Interface

Frontiers in cellular and infection microbiology

High Level of Interaction between Phages and Bacteria in an Artisanal Raw Milk Cheese Microbial Community

Differences in Gut Virome Related to Barrett Esophagus and Esophageal Adenocarcinoma

Alpha-synuclein alters the faecal viromes of rats in a gut-initiated model of Parkinson’s disease

A Genomic Census of the Chicken Gut Microbiome using Metagenomics and Culture

Bacteriophages limitedly contribute to the antimicrobial resistome of microbial communities in wastewater treatment plants


The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

Reinforcement learning on graphs: A survey

Class-Balanced and Reinforced Active Learning on Graphs


BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA

Workshop on Biomedical Natural Language Processing

Transferability of Natural Language Inference to Biomedical Question Answering

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


KoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch

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

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

Korean-to-Japanese Neural Machine Translation System using Hanja Information


The Oxynet Python package repository

Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks

Estimating an individual’s oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation


Scripts to handle NGS data and other biological data

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

The genomes of ancient date palms germinated from 2,000 y old seeds

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

Elucidation of the Origin of the Monumental Olive Tree of Vouves in Crete, Greece

Haplotype mining panel for genetic dissection and breeding in Eucalyptus

Genomic evidence reveals three W-autosome fusions in Heliconius butterflies


This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

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


Simple CIFAR-10 classification with ConvMixer

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

Elephant Neural Networks: Born to Be a Continual Learner


End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework


NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)

Web-based decision support system tools: The Soil and Water Assessment Tool Online visualization and analyses (SWATOnline) and NASA earth observation data downloading and reformatting tool (NASAaccess)

Environmental modelling & software : with environment data news


Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)

Generative Image Inpainting with Contextual Attention

Deep Fusion Network for Image Completion

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

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


Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).

Interleaved entropy coders

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

MALICE: Manipulation Attacks on Learned Image ComprEssion


rhierbaps: R implementation of hierBAPS

ModelFinder: fast model selection for accurate phylogenetic estimates

phytools: an R package for phylogenetic comparative biology (and other things)

ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

Cross-transmission Is Not the Source of New Mycobacterium abscessus Infections in a Multicenter Cohort of Cystic Fibrosis Patients

Genetic Characterization of Extensively Drug-Resistant Shigella sonnei Infections, Spain, 2021-2022.


Process periodic box of objects into mock survey.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

Going beyond the galaxy power spectrum: An analysis of BOSS data with wavelet scattering transforms

Precise cosmological constraints from BOSS galaxy clustering with a simulation-based emulator of the wavelet scattering transform

Cosmic void exclusion models and their impact on the distance scale measurements from large scale structure


Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).


:question: Attention-based Visual Question Answering in Torch

VQA: Visual Question Answering

Stacked Attention Networks for Image Question Answering

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization


Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system utility, decrease the overall cost, and increase mission success probability. Deep Reinforcement Learning (DRL) helps organize agents' behaviors and actions based on their state and represents complex strategies (composition of actions). This research introduces a novel hierarchical strategy decomposition approach based on Bayesian chaining to separate an intricate policy into several simple sub-policies and organize their relationships as Bayesian strategy networks (BSN).

A Strategy-Oriented Bayesian Soft Actor-Critic Model

Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies


Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective

State of the Art and Potentialities of Graph-level Learning


Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

Locally Activated Gated Neural Network for Automatic Music Genre Classification

On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search


WaveNet for the separation of audio sources

Domain-Adversarial Training of Neural Networks

WaveNet: A Generative Model for Raw Audio

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

A Universal Music Translation Network


Code accompanying EGO-TOPO: Environment Affordances from Egocentric Video (CVPR 2020)

Rethinking Learning Approaches for Long-Term Action Anticipation

UnweaveNet: Unweaving Activity Stories


Code for the emrQA question answering dataset

A large language model for electronic health records

emrQA: A Large Corpus for Question Answering on Electronic Medical Records

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Entity-Enriched Neural Models for Clinical Question Answering

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Proceedings of the 5th Clinical Natural Language Processing Workshop


DAGs with No Curl: An Efficient DAG Structure Learning Approach

On the Convergence of Continuous Constrained Optimization for Structure Learning

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

Truncated Matrix Power Iteration for Differentiable DAG Learning

Learning DAGs from Data with Few Root Causes


Adversarial Weighting for Domain Adaptation in Regression

Domain-Adversarial Training of Neural Networks

Adversarial Discriminative Domain Adaptation

Bridging Theory and Algorithm for Domain Adaptation


A Multi-Turn Dialogue Corpus based on Alpaca Instructions

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback

PhoGPT: Generative Pre-training for Vietnamese

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting

KAUCUS: Knowledge Augmented User Simulators for Training Language Model
  Assistants

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference


Official implementation of paper "One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications".

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning


Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019

Policy Learning for Fairness in Ranking

Algorithmic fairness datasets: the story so far

Fairness for Robust Learning to Rank

A Pre-processing Method for Fairness in Ranking

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems


Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

Saath: Speeding up CoFlows by Exploiting the Spatial Dimension


Single cell RNA Seq data analysis with quantitative phenotypes

Large-scale simultaneous measurement of epitopes and transcriptomes in single cells

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue

Single-cell transcriptional dynamics of flavivirus infection

Northstar enables automatic classification of known and novel cell types from tumor samples

Pancreas patch-seq links physiologic dysfunction in diabetes to single-cell transcriptomic phenotypes

Developmental diversity and unique sensitivity to injury of lung endothelial subtypes during postnatal growth


Use EMCEE to do MCMC analyses of spectra in XSPEC

A dynamic black hole corona in an active galaxy through X-ray reverberation mapping

Velocity width measurements of the coolest X-ray emitting material in the cores of clusters, groups and elliptical galaxies

The remarkable X-ray variability of IRAS 13224–3809 – I. The variability process

Monthly notices of the Royal Astronomical Society

Light bending and X-ray echoes from behind a supermassive black hole

The nuclear environment of the NLS1 Mrk 335: Obscuration of the X-ray line emission by a variable outflow

Testing General Relativity with NuSTAR Data of Galactic Black Holes

Testing the accuracy of reflection-based supermassive black hole spin measurements in AGN

X-ray reflection from the inner disc of the AGN Ton S180

Multiwavelength study of the flaring activity of Sagittarius A in 2014 February−April

HAL (Le Centre pour la Communication Scientifique Directe)

NuSTAR monitoring of MAXI J1348-630: evidence of high density disc reflection


Tensorflow implementation for the SVGP-VAE model.

Gaussian Processes for Big Data

Gaussian Process Prior Variational Autoencoders

Scalable Gaussian Process Variational Autoencoders


A algebraic word problem dataset, with multiple choice questions annotated with rationales.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems

Faithful Chain-of-Thought Reasoning

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

DataComp-LM: In search of the next generation of training sets for
  language models

Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through
  Strategy Elicitation


A MinION-based pipeline for tracking species biodiversity

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

DNA Barcoding of Nematodes Using the MinION

Hydraena (s.str.) dinarica, new species (Coleoptera: Hydraenidae) along with further records of Hydraena spp. from Durmitor National Park, Montenegro and comments on the DNA barcoding problem with the genus

Tracking the Source of Human Q Fever from a Southern French Village: Sentinel Animals and Environmental Reservoir


MATLAB codes for matrix exponential times a vector.

Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators

Designing quantum experiments with a genetic algorithm

Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling

Limited-memory polynomial methods for large-scale matrix functions

Integral representations for higher-order Fréchet derivatives of matrix functions: Quadrature algorithms and new results on the level-2 condition number

A New Algorithm for Computing the Actions of Trigonometricand Hyperbolic Matrix Functions

Krylov subspace restarting for matrix Laplace transforms


A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Playing Atari with Deep Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Safe and Efficient Off-Policy Reinforcement Learning

Agent57: Outperforming the Atari Human Benchmark

Recurrent Experience Replay in Distributed Reinforcement Learning

International Conference on Learning Representations

Never Give Up: Learning Directed Exploration Strategies

Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals

An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task


Lazy random walks for superpixel segmentation (IEEE TIP14)

Lazy Random Walks for Superpixel Segmentation

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

Superpixel Segmentation Using Gaussian Mixture Model

An Iterative Spanning Forest Framework for Superpixel Segmentation

Content-Based Superpixel Segmentation and Matching Using Its Region Feature Descriptors

IEICE Transactions on Information and Systems


Universal Adversarial Perturbations (UAPs) for PyTorch

Adversarial Patch

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks

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

Universal Adversarial Robustness of Texture and Shape-Biased Models

International Conference on Information Photonics

Robustness and Transferability of Universal Attacks on Compressed Models

Jacobian Regularization for Mitigating Universal Adversarial Perturbations


Pytorch porting of C3D network, with Sports1M weights

Leveraging Random Label Memorization for Unsupervised Pre-Training

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

Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA

Workshop on Representation Learning for NLP


A simple particle tracking algorithm for MATLAB that can deal with gaps.

Odd dynamics of living chiral crystals

In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy

Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends

Non-invasive transcranial volumetric ultrasound localization microscopy of the rat brain with continuous, high volume-rate acquisition

Compressed Sensing-Based Super-Resolution Ultrasound Imaging for Faster Acquisition and High Quality Images

Dynamic Imaging using any Ultrasound Localization Microscopy Dataset

3D transcranial Dynamic Ultrasound Localization Microscopy in the mouse
  brain using a Row-Column Array


This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency

Quantization Backdoors to Deep Learning Commercial Frameworks

Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense

HaS-Net: A Heal and Select Mechanism to Securely Train DNNs against Backdoor Attacks


Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity

How Powerful is Implicit Denoising in Graph Neural Networks


Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency


[ICCV 2023] DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Differential Privacy Preservation in Deep Learning under Model Attacks

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Preserving Differential Privacy in Convolutional Deep Belief Networks

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness


Official repository for VIGOR : Cross-View Image Geo-localization beyond One-to-one Retrieval

VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval

Cross-View Image Sequence Geo-localization

Visual and Object Geo-localization: A Comprehensive Survey


Diffusion Models: A Comprehensive Survey of Methods and Applications

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Weakly Supervised Anomaly Detection: A Survey

PyHealth: A Python Library for Health Predictive Models

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

TOD: GPU-accelerated Outlier Detection via Tensor Operations


MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing

Deep Blind Unmixing using Minimum Simplex Convolutional Network

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium


An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

How Much Can CLIP Benefit Vision-and-Language Tasks?

Multimodal Chain-of-Thought Reasoning in Language Models

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics


Sampling-Based Minimum Bayes-Risk Decoding for Neural Machine Translation

Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

On the probability-quality paradox in language generation

mbrs: A Library for Minimum Bayes Risk Decoding

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences


This is a new version of Learning Active Learning which uses reinforcement learning

Discovering General-Purpose Active Learning Strategies

Learning active learning at the crossroads? evaluation and discussion

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Few-Shot Backdoor Attacks on Visual Object Tracking

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Backdoor Defense via Deconfounded Representation Learning

Backdoor Cleansing with Unlabeled Data

DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation

Fisher Information guided Purification against Backdoor Attacks


[ICCV 2021] Multi-View Radar Semantic Segmentation

CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Multi-View Radar Semantic Segmentation

International Conference on Computer Vision

Deep learning for radar data exploitation of autonomous vehicle

Human Detection from 4D Radar Data in Low-Visibility Field Conditions


Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)

Neural Arithmetic Units

A Primer for Neural Arithmetic Logic Modules


Using ggtree to build phylogenetic trees

ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Using ggtree to Visualize Data on Tree‐Like Structures

Two Methods for Mapping and Visualizing Associated Data on Phylogeny Using Ggtree.


Implementation of CenterNet and FairMOT with PyTorch Lightning

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

CornerNet: Detecting Objects as Paired Keypoints

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection


The source code of article "Distinguish Confusing Law Articles for Legal Judgment Prediction", ACL 2020

Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting

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

Augmenting Legal Judgment Prediction with Contrastive Case Relations

International Conference on Computational Linguistics


An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)

Learning Gradient Fields for Molecular Conformation Generation

Graph-based Molecular Representation Learning

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design


A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Adversarial Deep Reinforcement Learning in Portfolio Management

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States


Repository of the integrated mouse gut metagenomic catalog

Reproducible changes in the gut microbiome suggest a shift in microbial and host metabolism during spaceflight

Impaired glucose metabolism and altered gut microbiome despite calorie restriction of ob/ob mice

An integrated metagenome catalog reveals novel insights into the murine gut microbiome

Genome-Based Targeted Sequencing as a Reproducible Microbial Community Profiling Assay

Shotgun metagenomics and systemic targeted metabolomics highlight indole-3-propionic acid as a protective gut microbial metabolite against influenza infection

MRGM: a mouse reference gut microbiome reveals a large functional discrepancy for gut bacteria of the same genus between mice and humans


Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.

Towards a Robust Deep Neural Network in Texts: A Survey

Interpretable Adversarial Training for Text


Optimization of shared bicycle location in Wuhan city based on multi-source geospatial big data

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications


A scalable variant calling and benchmarking framework supporting both short and long reads.

Natural variants suppress mutations in hundreds of essential genes

Spontaneous Mutation Rates and Spectra of Respiratory-Deficient Yeast

Genome instability footprint under rapamycin and hydroxyurea treatments


Automated Scalable Bayesian Inference

Coresets for Scalable Bayesian Logistic Regression

Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent

Automated Scalable Bayesian Inference via Hilbert Coresets

Introduction to Core-sets: an Updated Survey

Continuous Regularized Wasserstein Barycenters

Sparse Variational Inference: Bayesian Coresets from Scratch

Assembly of a Coreset of Earth Observation Images on a Small Quantum Computer

Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings

Coreset Markov Chain Monte Carlo


VISIbility Based Line Extraction

Detecting Weak Spectral Lines in Interferometric Data through Matched Filtering

The First Detection of 13C17O in a Protoplanetary Disk: A Robust Tracer of Disk Gas Mass

An Unbiased ALMA Spectral Survey of the LkCa 15 and MWC 480 Protoplanetary Disks

Dust Continuum Emission and the Upper Limit Fluxes of Submillimeter Water Lines of the Protoplanetary Disk around HD 163296 Observed by ALMA

The Excitation Conditions of CN in TW Hya


Folklore facts on probability distribution learning, testing, and whatever-ing

The Structure of Optimal Private Tests for Simple Hypotheses

A short note on learning discrete distributions

Deconstructing the Blockchain to Approach Physical Limits

List Decoding Random Euclidean Codes and Infinite Constellations

International Symposium on Information Theory

Contraction of Locally Differentially Private Mechanisms

Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes

Nakamoto Consensus under Bounded Processing Capacity

Exploring the Gap between Tolerant and Non-tolerant Distribution Testing


A full pipeline to finetune Alpaca LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Alpaca architecture. Basically ChatGPT but with Alpaca

LoRA: Low-Rank Adaptation of Large Language Models

Fine-Tuning Language Models from Human Preferences

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models


Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Meta-learning for Few-shot Natural Language Processing: A Survey

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning

Adversarial Self-Supervised Learning for Out-of-Domain Detection

North American Chapter of the Association for Computational Linguistics

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes

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

Energy-based Unknown Intent Detection with Data Manipulation

ODIST: Open World Classification via Distributionally Shifted Instances

Findings of the Association for Computational Linguistics: EMNLP 2021

A Neural Few-Shot Text Classification Reality Check

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation


On Tiny Episodic Memories in Continual Learning

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal


S3D Text-Video model trained on HowTo100M using MIL-NCE

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

End-to-End Learning of Visual Representations from Uncurated Instructional Videos

RareAct: A video dataset of unusual interactions

Video Question Answering with Phrases via Semantic Roles

Learning a Grammar Inducer from Massive Uncurated Instructional Videos


A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.

Sequence to Sequence -- Video to Text

Describing Videos by Exploiting Temporal Structure

Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Reconstruction Network for Video Captioning

Memory-Attended Recurrent Network for Video Captioning


Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.

Through the eye of the PLC: semantic security monitoring for industrial processes

Asia-Pacific Computer Systems Architecture Conference

TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)

Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks

Timing-Based Anomaly Detection in SCADA Networks

IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems

International Conference on Software Engineering

Intrusion Detection for Sequence-Based Attacks with Reduced Traffic Models

Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen

Facilitating Protocol-independent Industrial Intrusion Detection Systems

Conference on Computer and Communications Security


This repository includes data for snap analyses of the 2018 Midterm Elections using unofficial election returns data.

Local News Online and COVID in the U.S.: Relationships among Coverage, Cases, Deaths, and Audience

NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems

Identifying the Socioeconomic, Demographic, and Political Determinants of Social Mobility and Their Effects on COVID-19 Cases and Deaths: Evidence From US Counties


LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

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

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario


Fine-tuning large language models with huggingface transformers and deepspeed

LoRA: Low-Rank Adaptation of Large Language Models

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation


The Pitfalls of Simplicity Bias in Neural Networks

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning


Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186


synthetic spectrum calculation companion to MARCS

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

HORuS transmission spectroscopy of 55 Cnc e

Monthly Notices of the Royal Astronomical Society

The CARMENES search for exoplanets around M dwarfs

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

Probing the atmosphere of HD189733b with the Na i and K i lines

Monthly notices of the Royal Astronomical Society

The Hidden Companion in J1527: A 0.69 Solar-mass White Dwarf?

GHOST Commissioning Science Results II: a very metal-poor star witnessing the early Galactic assembly

Evidence of deep mixing in IRS 7, a cool massive supergiant member of the Galactic nuclear star cluster

Chemical abundances of the young inner-disc open cluster NGC 6705 observed by APOGEE: sodium-rich and not α-enhanced


Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups


Finetuning instruct-LLaMA on german datasets.

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Zero-shot cross-lingual transfer in instruction tuning of large language
  model

Impact of Tokenization on LLaMa Russian Adaptation


A Tensorflow implementation of the paper arXiv:1604.03539

Cross-stitch Networks for Multi-task Learning

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task


Using Tree-of-Thought Prompting to boost ChatGPT's reasoning

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL

Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials

Large Language Models Enable Automated Formative Feedback in Human-Robot
  Interaction Tasks

Autonomous Prompt Engineering in Large Language Models


A Survey of Machine Unlearning

DeltaGrad: Rapid retraining of machine learning models

Certifiable Machine Unlearning for Linear Models

Learn to Unlearn: A Survey on Machine Unlearning


Compound Probabilistic Context-Free Grammars for Grammar Induction

Unsupervised Recurrent Neural Network Grammars

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Meeting of the Association for Computational Linguistics

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)

On Importance Sampling-Based Evaluation of Latent Language Models


Supporting code for uncultivated gut virus manuscript

IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

Ultra-deep sequencing of Hadza hunter-gatherers recovers vanishing gut microbes

bioRxiv : the preprint server for biology

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight

A global atlas of soil viruses reveals unexplored biodiversity and potential biogeochemical impacts

Terabase-Scale Coassembly of a Tropical Soil Microbiome

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces

A 20-year time-series of a freshwater lake reveals seasonal dynamics and environmental drivers of viral diversity, ecology, and evolution


A tool that detects honeypots in Ethereum smart contracts :honey_pot: (USENIX 2019).

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

A Data Science Approach for Honeypot Detection in Ethereum

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts

Vulnerability and Transaction behavior based detection of Malicious Smart Contracts

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

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


C program for selecting DNA substitution models using PAUP*

Páramo is the world's fastest evolving and coolest biodiversity hotspot

Phylogenetic analyses of Begonia sect. Coelocentrum and allied limestone species of China shed light on the evolution of Sino-Vietnamese karst flora

A new generic system for the pantropical Caesalpinia group (Leguminosae)

Discovery from a large-scaled survey of Trichoderma in soil of China

Biogeography and taxonomy of extinct and endangered monk seals illuminated by ancient DNA and skull morphology

Phylogeographic Patterns in Africa and High Resolution Delineation of Genetic Clades in the Lion (Panthera leo)

Seven wood-inhabiting new species of the genus Trichoderma (Fungi, Ascomycota) in Viride clade

A new species of Trichoderma hypoxylon harbours abundant secondary metabolites

The widespread biting midge Culicoides impunctatus (Ceratopogonidae) is susceptible to infection with numerous Haemoproteus (Haemoproteidae) species

Phylogenetic and morphological studies in Xylodon (Hymenochaetales, Basidiomycota) with the addition of four new species


The re-implementation of Smooth Grad-CAM++ with pytorch

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

International Journal of Computer Vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models


Curriculum by Smoothing (NeurIPS 2020)

Curriculum By Smoothing

Learning Rate Curriculum

Frequency Dropout: Feature-Level Regularization via Randomized Filtering


Open Platform for Energy Networks


Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces

AdvFaces: Adversarial Face Synthesis

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Unified Detection of Digital and Physical Face Attacks


Natural Language Processing Advancements By Deep Learning: A Survey

Quasar: Datasets for Question Answering by Search and Reading

Denoising Distantly Supervised Open-Domain Question Answering

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

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

Cross-Thought for Sentence Encoder Pre-training

Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization

Findings of the Association for Computational Linguistics: EMNLP 2021


An extensible C++ library for probabilistic inference in graphical models.

Lifted Marginal MAP Inference

IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees


Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

Rotated Binary Neural Network

SiMaN: Sign-to-Magnitude Network Binarization

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy


download Google Earth Engine datasets to tiles as geotiff arrays

Fewshot learning on global multimodal embeddings for earth observation tasks

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery


Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

A molecular cell atlas of the human lung from single cell RNA sequencing

Potent Neutralizing Antibodies against SARS-CoV-2 Identified by High-Throughput Single-Cell Sequencing of Convalescent Patients’ B Cells

SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells

Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing

B cell clonal expansion and convergent antibody responses to SARS-CoV-2

The landscape of lung bronchoalveolar immune cells in COVID-19 revealed by single-cell RNA sequencing

Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T-cell memory formation after mild COVID-19 infection

Identification of Candidate COVID-19 Therapeutics using hPSC-derived Lung Organoids

Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium


[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

Sharpness-Aware Minimization for Efficiently Improving Generalization

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Learning Adversarially Fair and Transferable Representations

Learning Not to Learn: Training Deep Neural Networks with Biased Data

SWAD: Domain Generalization by Seeking Flat Minima

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

EnD: Entangling and Disentangling deep representations for bias correction

Conditional Learning of Fair Representations

Fairness by Learning Orthogonal Disentangled Representations


Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting

Risk-Averse Offline Reinforcement Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning


CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment

Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties

CEGAN: Crystal Edge Graph Attention Network for multiscale classification of materials environment

A snapshot review on soft materials assembly design utilizing machine learning methods


demo

Trained Ternary Quantization

Ternary Weight Networks

Ternary Compression for Communication-Efficient Federated Learning


MatBuilder: Mastering Sampling Uniformity Over Projections

Generator Matrices by Solving Integer Linear Programs


Control and design of two-photon photostimulation experiments

How many neurons are sufficient for perception of cortical activity?

Cortico-cortical feedback engages active dendrites in visual cortex

Propagation of activity through the cortical hierarchy and perception are determined by neural variability

The influence of cortical activity on perception depends on behavioral state and sensory context


Collection of scripts to reproduce the results of Astic et al. (2020): forward modelling and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)

SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications

A framework for simulation and inversion in electromagnetics

A framework for petrophysically and geologically guided geophysical inversion using a dynamic Gaussian mixture model prior

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

Petrophysically guided geophysical inversion using a dynamic Gaussian mixture model prior

SEG Technical Program Expanded Abstracts 2018


Semantic Drift Compensation for Class-Incremental Learning

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning


Lightweight Iterative Gene set Enrichment in R

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

A genome-wide innateness gradient defines the functional state of human innate T cells


Reimplementing SOTA convolution variants with Tensorflow 2.0.

CBAM: Convolutional Block Attention Module

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Attention Augmented Convolutional Networks

MixConv: Mixed Depthwise Convolutional Kernels


pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning

In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics

MS/MS Spectrum Prediction for Modified Peptides Using pDeep2 Trained by Transfer Learning.

Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage

DeepPhospho: Accelerate DIA phosphoproteome profiling by Deep Learning


Situation entity type labeling system

Classification of telicity using cross-linguistic annotation projection

Empirical Methods in Natural Language Processing

Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention

Joint Conference on Lexical and Computational Semantics

Classifying Semantic Clause Types With Recurrent Neural Networks: Analysis of Attention, Context & Genre Characteristics

Contrast Sets for Stativity of English Verbs in Context

International Conference on Computational Linguistics


GEE App to explore the state of the world's (degraded) soils


The Open Lab Book: A collection of freely distributable scientific protocols

Dissection of Root Transcriptional Responses to Low pH, Aluminum Toxicity and Iron Excess Under Pi-Limiting Conditions in Arabidopsis Wild-Type and stop1 Seedlings

A transition phase in late mouse oogenesis impacts DNA methylation of the early embryo

ROOT PENETRATION INDEX 3, a major quantitative trait locus (QTL) associated with root system penetrability in Arabidopsis


Vietnamese Punctuation Prediction using Pretrained Language Models

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models

An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction


TSAR2022 Shared Task on Lexical Simplification - Datasets and Evaluation scripts

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification
  Resources for Catalan and Spanish


Code for "Bilingual Lexicon Induction with Semi-supervisionin Non-Isometric Embedding Spaces", ACL 2019

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.


Forecast the US demand for electricity


Creative Commons Attribution Share Alike 4.0 International

A Python Package for Stochastic Block Model Inference

Learning from Counterfactual Links for Link Prediction

Counterfactual Graph Learning for Link Prediction.

A generalized Bayesian stochastic block model for microbiome community detection


BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

Multimodal Chain-of-Thought Reasoning in Language Models

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Neurotoxin: Durable Backdoors in Federated Learning

Single-Forward-Step Projective Splitting: Exploiting Cocoercivity


A list of datasets, tools, papers and code related to Deepfakes.

SimSwap: An Efficient Framework For High Fidelity Face Swapping

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

LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

DeepFacePencil: Creating Face Images from Freehand Sketches

Talking Face Generation with Expression-Tailored Generative Adversarial Network


Automatic Data-Regularized Actor-Critic (Auto-DrAC)

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Automatic Data Augmentation for Generalization in Reinforcement Learning

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL

Rethinking Value Function Learning for Generalization in Reinforcement Learning

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction


Gender Bias in Coreference Resolution

Discovering Language Model Behaviors with Model-Written Evaluations

Understanding the Learning Dynamics of Alignment with Human Feedback

Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety


codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Learning to Solve Routing Problems via Distributionally Robust Optimization

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Efficient Neural Neighborhood Search for Pickup and Delivery Problems

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library

Continuation Path Learning for Homotopy Optimization

Routing Arena: A Benchmark Suite for Neural Routing Solvers

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


Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach

Dataset of Pathloss and ToA Radio Maps With Localization Application

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning


DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.

MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications

A Preliminary Analysis of Software Metrics in Decentralised Applications

Proceedings of the Fifth ACM International Workshop on Blockchain-enabled Networked Sensor Systems


Data generator for creating synthetic audio mixtures suitable for DCASE Challenge 2022 Task 3

Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms

META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection

Sound Source Distance Estimation in Diverse and Dynamic Acoustic Conditions

Zero- and Few-shot Sound Event Localization and Detection


This repo provides code and data used in our TANDA paper.

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

Early Exiting BERT for Efficient Document Ranking

The Cascade Transformer: an Application for Efficient Answer Sentence Selection

Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

Question-Answer Sentence Graph for Joint Modeling Answer Selection


Code for LAMOL: LAnguage MOdeling for Lifelong Language Learning

Lifelong Language Knowledge Distillation

Distill and Replay for Continual Language Learning

Continual Sequence Generation with Adaptive Compositional Modules

Class-Incremental Learning based on Label Generation

Reminding the incremental language model via data-free self-distillation

RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning

Generative Replay Inspired by Hippocampal Memory Indexing for Continual Language Learning

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics


The Dataset for Multi Label Hate Speech and Abusive Language Detection in Indonesian Twitter

Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Deep Learning Models for Multilingual Hate Speech Detection

Hate Speech Detection in Indonesian Twitter using Contextual Embedding Approach

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

Identifikasi Ujaran Kebencian Multilabel Pada Teks Twitter Berbahasa Indonesia Menggunakan Convolution Neural Network

Jurnal Sistem Komputer dan Informatika (JSON)


Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Measuring Robustness to Natural Distribution Shifts in Image Classification

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Consistency Regularization for Certified Robustness of Smoothed Classifiers

Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

On the Certified Robustness for Ensemble Models and Beyond

Data-Dependent Randomized Smoothing

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing

Adversarially Trained Models with Test-Time Covariate Shift Adaptation.


Design, analysis, findings and raw data from the 2018 GitHub Education Classroom Report

Mere belonging: The power of social connections.

Journal of personality and social psychology

First-generation students' academic engagement and retention

The Emergence of GitHub as a Collaborative Platform for Education

PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'15)

Student Experiences Using GitHub in Software Engineering Courses: A Case Study

International Conference on Software Engineering

Supporting and structuring “contributing student pedagogy” in Computer Science curricula

Using GitHub in the classroom - a collaborative learning experience

International Symposium for Design and Technology in Electronic Packaging


an implementation of softmax splatting for differentiable forward warping using PyTorch

Softmax Splatting for Video Frame Interpolation

FILM: Frame Interpolation for Large Motion

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation


Rich Feature Construction for the Optimization-Generalization Dilemma

Understanding and Improving Feature Learning for Out-of-Distribution Generalization

Learning useful representations for shifting tasks and distributions


Official Repository for our CVPRW (MAI'21) paper.

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image

Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

Journal of Visual Communication and Image Representation


MoDELib is the Mechanics of Defects Evolution Library, a c++ template library for computer simulations of defects in crystalline materials.

A discrete dislocation dynamics study of precipitate bypass mechanisms in nickel-based superalloys

Mild-to-wild plastic transition is governed by athermal screw dislocation slip in bcc Nb

Incompatible strain gradient elasticity of Mindlin type: screw and edge dislocations


(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Towards Open World Object Detection

OW-DETR: Open-world Detection Transformer

Incremental Object Detection via Meta-Learning

On the Stability-Plasticity Dilemma of Class-Incremental Learning