Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack


MissForest—non-parametric missing value imputation for mixed-type data

Fast Gaussian Process Regression for Big Data

Gap‐Filled Multivariate Observations of Global Land–Climate Interactions

Zenodo (CERN European Organization for Nuclear Research)

CLIMFILL: A Framework for Intelligently Gap-filling Earth Observations


The Exoplanet Population Observation Simulator. I. The Inner Edges of Planetary Systems

Exoplanet Statistics and Theoretical Implications

The Occurrence of Rocky Habitable-zone Planets around Solar-like Stars from Kepler Data

A Probabilistic Approach to Kepler Completeness and Reliability for Exoplanet Occurrence Rates

Occurrence and Architecture of Kepler Planetary Systems as Functions of Stellar Mass and Effective Temperature

An exomoon survey of 70 cool giant exoplanets and the new candidate Kepler-1708 b-i

A Joint Mass-Radius-Period Distribution of Exoplanets

A Closer Look at Exoplanet Occurrence Rates: Considering the Multiplicity of Stars without Detected Planets

Evaluating the Evidence for Water World Populations Using Mixture Models

A Unified Treatment of Kepler Occurrence to Trace Planet Evolution. I. Methodology


An overview of all nanopack tools

NanoPack: visualizing and processing long-read sequencing data

NanoPack2: population-scale evaluation of long-read sequencing data

Single-cell architecture and functional requirement of alternative splicing during hematopoietic stem cell formation

Application of third-generation sequencing in cancer research

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

The complete genome of Escherichia coli JM101 assembled with a combination of Nanopore and Illumina platforms


A curated list of publically available human-robot interaction datasets

Timing in Multimodal Turn-Taking Interactions: Control and Analysis Using Timed Petri Nets

UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions

International Conference on Multimodal Interfaces

The PInSoRo dataset: Supporting the data-driven study of child-child and child-robot social dynamics

P2PSTORY: Dataset of Children as Storytellers and Listeners in Peer-to-Peer Interactions

PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018)


Reimplementation of GANs

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

On Convergence and Stability of GANs

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

IEEE International Conference on Computer Vision

BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Dist-GAN: An Improved GAN using Distance Constraints


Renewcast: Forecasting Renewable Electricity Generation in EU Countries.


Augmented Memory and Beam Enumeration implementation

Augmented Memory: Capitalizing on Experience Replay to Accelerate De Novo Molecular Design

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design

Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation


Self-supervised vision transformers for joint SAR-optical representation learning

Self-supervised Learning in Remote Sensing: A Review

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning


Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

La-MAML: Look-ahead Meta Learning for Continual Learning

Learning where to learn: Gradient sparsity in meta and continual learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation


State of the Art of Music Generation with Deep Learning and AI

Conditional LSTM-GAN for Melody Generation from Lyrics

ACM Transactions on Multimedia Computing, Communications, and Applications

Generating Polyphonic Music Using Tied Parallel Networks

Music Composition with Deep Learning: A Review


Download and manipulate some publicly available solar datasets


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

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations

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

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


code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

水动力学研究与进展.B辑

An Embedded Feature Selection Framework for Control

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


Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).

REALM: Retrieval-Augmented Language Model Pre-Training

ELI5: Long Form Question Answering

RELIC: Retrieving Evidence for Literary Claims


This computational method has been published in BMC genomics as: "Identifying branch-specific positive selection throughout the regulatory genome using an appropriate proxy neutral"

Positive selection within the genomes of SARS-CoV-2 and other Coronaviruses independent of impact on protein function

Comparative Analyses of Chromatin Landscape in White Adipose Tissue Suggest Humans May Have Less Beigeing Potential than Other Primates

Evolutionary Changes in the Chromatin Landscape Contribute to Reorganization of a Developmental Gene Network During Rapid Life History Evolution in Sea Urchins

Identifying branch-specific positive selection throughout the regulatory genome using an appropriate neutral proxy


[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Class-Balanced Loss Based on Effective Number of Samples

NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition


Design platform for creating single-chain polyhedral cages made from coiled-coil building modules

Coiled coil protein origami: from modular design principles towards biotechnological applications

Coiled-Coils: The Molecular Zippers that Self-Assemble Protein Nanostructures

International journal of molecular sciences

Metal ion–regulated assembly of designed modular protein cages

Designed folding pathway of modular coiled-coil-based proteins


Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Interaction


Evaluation of BEIR Datasets using ColBERT retrieval model

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Relevance-guided Supervision for OpenQA with ColBERT


Code, unit tests, and tutorials for running PICRUSt2

PICRUSt2: An improved and customizable approach for metagenome inference

Seasonal shifts in the gut microbiome indicate plastic responses to diet in wild geladas

Lactobacillus plantarum PS128 alleviates neurodegenerative progression in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse models of Parkinson's disease

Metformin attenuated sepsis-related liver injury by modulating gut microbiota

Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences

Repeated sleep disruption in mice leads to persistent shifts in the fecal microbiome and metabolome

A Korean-Style Balanced Diet Has a Potential Connection with Ruminococcaceae Enterotype and Reduction of Metabolic Syndrome Incidence in Korean Adults

Soil Microbial Diversity and Community Composition in Rice–Fish Co-Culture and Rice Monoculture Farming System

Ridinilazole, a narrow spectrum antibiotic for treatment of Clostridioides difficile infection, enhances preservation of microbiota-dependent bile acids

American journal of physiology. Gastrointestinal and liver physiology

Metformin Mitigates Sepsis-Related Neuroinflammation via Modulating Gut Microbiota and Metabolites


A curated list of text-based image manipulation methods.

Language-based colorization of scene sketches

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

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

Text-Guided Image Inpainting

Paired-D GAN for Semantic Image Synthesis

Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations


A python code to model the evolution of dust and gas in protoplanetary discs.

Planet-forming material in a protoplanetary disc: the interplay between chemical evolution and pebble drift

Monthly notices of the Royal Astronomical Society

On dust evolution in planet-forming discs in binary systems - I. Theoretical and numerical modelling: radial drift is faster in binary discs

Monthly Notices of the Royal Astronomical Society

Stellar multiplicity affects the correlation between protoplanetary disc masses and accretion rates: binaries explain high accretors in Upper Sco

On dust evolution in planet-forming discs in binary systems – II. Comparison with Taurus and ρ Ophiuchus (sub-)millimetre observations: discs in binaries have small dust sizes

Modelling the secular evolution of protoplanetary disc dust sizes – a comparison between the viscous and magnetic wind case


Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge


Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s41467-018-06921-8

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

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

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


Benchmark for LP-relaxed robustness verification of ReLU-networks

Towards Deep Learning Models Resistant to Adversarial Attacks

Provable defenses against adversarial examples via the convex outer adversarial polytope

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


Data augmentation for NLP, accepted at EMNLP 2021 Findings

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

AEDA: An Easier Data Augmentation Technique for Text Classification

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


Imaging the dynamics of magma propagation using radiated seismic intensity

Relative Source Locations of Continuous Tremor Before and After the Subplinian Events at Shinmoe‐dake, in 2011

Amplitude source location method with depth-dependent scattering and attenuation structures: application at Nevado del Ruiz volcano, Colombia

Journal of Geophysical Research: Solid Earth

Estimation of Relative Source Locations From Seismic Amplitude: Application to Earthquakes and Tremors at Meakandake Volcano, Eastern Hokkaido, Japan


A dataset of over 10000 question and answer pairs written for storybooks.

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales


Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability

Probabilistic Inductive Logic Programming Based on Answer Set Programming

diff-SAT -- A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming

Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization


Access data from Thalmic Labs' Myo Gesture Control Armband in m-code!

User-Independent Hand Gesture Recognition Classification Models Using Sensor Fusion

sEMG-Based Gesture Classifier for a Rehabilitation Glove

Adaptive Driver-Automation Shared Steering Control via Forearm Surface Electromyography Measurement

Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior


scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers

Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

Single-cell transcriptome analysis of lineage diversity in high-grade glioma

De novoGene Signature Identification from Single-Cell RNA-Seq with Hierarchical Poisson Factorization

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

Subcellular proteomics of dopamine neurons in the mouse brain reveals axonal enrichment of proteins encoded by Parkinson’s disease-linked genes

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

bioRxiv : the preprint server for biology

Single-Cell Analysis of 5-ALA Intraoperative Labeling Specificity for Glioblastoma

Conserved and cell type-specific transcriptional responses to IFN-γ in the ventral midbrain


Implementation of CVPR 2016 paper

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Pointing Novel Objects in Image Captioning

ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning


hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic

hULMonA: The Universal Language Model in Arabic

Meeting of the Association for Computational Linguistics

Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model

Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model


This repo implements several algorithms for learning with differential privacy.

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Large Language Models Can Be Strong Differentially Private Learners

Differentially Private Fine-tuning of Language Models

Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning

Large Scale Private Learning via Low-rank Reparametrization


Outlier detection related books and papers.

Isolation-Based Anomaly Detection

ACM Transactions on Knowledge Discovery from Data

Graph-based Anomaly Detection and Description: A Survey

A survey on unsupervised outlier detection in high‐dimensional numerical data

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

HiCS: High Contrast Subspaces for Density-Based Outlier Ranking

International Conference on Data Engineering

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

Isolation-based anomaly detection using nearest-neighbor ensembles

International Conference on Climate Informatics

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

Mining outlying aspects on numeric data

Improving iForest with Relative Mass

Pacific-Asia Conference on Knowledge Discovery and Data Mining


A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.

LW-FIRE: A Lightweight Wildfire Image Classification with a Deep Convolutional Neural Network

Non-stationary VFD Evaluation Kit: Dataset and Metrics to Fuel Video-Based Fire Detection Development

A Two-Stream CNN Model with Adaptive Adjustment of Receptive Field Dedicated to Flame Region Detection


CLIR version of ColBERT

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Relevance-guided Supervision for OpenQA with ColBERT

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Neural Approaches to Multilingual Information Retrieval

Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation


A genome visualization python package for comparative genomics

Segmental Duplications Drive the Evolution of Accessory Regions in a Major Crop Pathogen

Functional prediction of proteins from the human gut archaeome

Diversity and Evolutionary History of Ti Plasmids of "tumorigenes" Clade of Rhizobium spp. and Their Differentiation from Other Ti and Ri Plasmids.

Genomic Study of High-Risk Clones of Enterobacter hormaechei Collected from Tertiary Hospitals in the United Arab Emirates

In-depth characterization of multidrug-resistant NDM-1 and KPC-3 co-producing Klebsiella pneumoniae bloodstream isolates from Italian hospital patients


ACM CHIL 2020:  "Survival Cluster Analysis"

Adversarial Time-to-Event Modeling

Survival Cluster Analysis

A Deep Variational Approach to Clustering Survival Data

Survival Function Matching for Calibrated Time-to-Event Predictions

An Effective Meaningful Way to Evaluate Survival Models


Plug and Play Language Models: A Simple Approach to Controlled Text Generation

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation


Paper list for single object tracking (State-of-the-art SOT trackers)

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

Learning Spatial-Frequency Transformer for Visual Object Tracking

Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline


Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

Fully convolutional measurement network for compressive sensing image reconstruction

Adaptive Measurement Network for CS Image Reconstruction

Full Image Recover for Block-Based Compressive Sensing

Perceptual Compressive Sensing

PATTERN RECOGNITION AND COMPUTER VISION, PT III

Visualizing and understanding of learned compressive sensing with residual network

Color Image Reconstruction with Perceptual Compressive Sensing

International Conference on Pattern Recognition


HybSeq Target Capture of 353 Protein Coding Genes in Any Angiosperm

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

New targets acquired: Improving locus recovery from the Angiosperms353 probe set

A nuclear target sequence capture probe set for phylogeny reconstruction of the charismatic plant family Bignoniaceae

A target enrichment probe set for resolving phylogenetic relationships in the coffee family, Rubiaceae


replicAnt - generating annotated images of animals in complex environments with Unreal Engine

replicAnt: A pipeline for generating annotated images of animals in complex environments using Unreal Engine


NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Scaling Out-of-Distribution Detection for Real-World Settings


vertex cover solver

Scalable Kernelization for Maximum Independent Sets

On the Power of Simple Reductions for the Maximum Independent Set Problem

WeGotYouCovered: The Winning Solver from the PACE 2019 Implementation Challenge, Vertex Cover Track

An Updated Experimental Evaluation of Graph Bipartization Methods


Official code of our NAACL 2019 paper on Zero-Shot Cross-Lingual Transfer with Order Differences

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing


The hourly demand and supply of electricity in the US


All my scientific software thrown into one bucket.

Solving for multi-class using orthogonal coding matrices

Solving for multi-class: a survey and synthesis

Accelerating kernel classifiers through borders mapping


Deep Whole Brain Segmentation Using SLANT Method

3D whole brain segmentation using spatially localized atlas network tiles

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols


RE3: State Entropy Maximization with Random Encoders for Efficient Exploration

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Zeroth-order Min-max Optimization

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation

Proceedings of the Genetic and Evolutionary Computation Conference

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks


A high-performance library for computing Lorentzian spin foam amplitudes.

A high-performance code for EPRL spin foam amplitudes

How-to Compute EPRL Spin Foam Amplitudes

Radiative corrections to the Lorentzian Engle-Pereira-Rovelli-Livine spin foam propagator

Numerical evaluation of spin foam amplitudes beyond simplices

Zenodo (CERN European Organization for Nuclear Research)

A Monte Carlo algorithm for spin foam intertwiners


Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex

Hemodynamic and metabolic correspondence of resting-state voxel-based physiological metrics in healthy adults

Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

Disambiguating the role of blood flow and global signal with Partial Information Decomposition

Comparison of undirected frequency-domain connectivity measures for cerebro-peripheral analysis

WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions


Miscellaneous functions for analysis of species association and niche overlap

Diet drives the gut microbiome composition and assembly processes in winter migratory birds in the Poyang Lake wetland, China

From the Sunlit to the Aphotic Zone: Assembly Mechanisms and Co-Occurrence Patterns of Protistan-Bacterial Microbiotas in the Western Pacific Ocean

Protistan-Bacterial Microbiota Exhibit Stronger Species Sorting and Greater Network Connectivity Offshore than Nearshore across a Coast-to-Basin Continuum

Herbivore camping reshapes the taxonomy, function and network of pasture soil microbial communities

Establishment of an invasive snail Melanoides tuberculata (Müller, 1774) in a Sahelian urban reservoir in Ouagadougou, Burkina Faso

A phylogenetic approach identifies patterns of beta diversity and floristic subregions of the Qinghai-Tibet Plateau


A C++ based quantum transpiler for NISQ devices

Quantum computing with Qiskit

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices

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


Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

QAID: Question Answering Inspired Few-shot Intent Detection

ICL Markup: Structuring In-Context Learning using Soft-Token Tags

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training


Repository for "SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques" published in MSR4P&S'22.

SecurityEval dataset: mining vulnerability examples to evaluate machine learning-based code generation techniques

Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security

Software Vulnerability and Functionality Assessment using LLMs

DeVAIC: A Tool for Security Assessment of AI-generated Code


Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Simplified Temporal Consistency Reinforcement Learning

DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse

Balancing Value Underestimation and Overestimation with Realistic Actor-Critic


Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

Unsupervised Visual Representation Learning by Context Prediction

Revisiting Self-Supervised Visual Representation Learning


A curated list of awesome HCI + DL

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

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

Multimodal Deep Learning for Activity and Context Recognition

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

CNN-based sensor fusion techniques for multimodal human activity recognition

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (ISWC 17)

GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

IEEE transactions on visualization and computer graphics

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention

On Attention Models for Human Activity Recognition

Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations

International Workshop on the Semantic Web


Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Knowledge Distillation via the Target-aware Transformer

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

The State of Knowledge Distillation for Classification


Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

A Light CNN for Deep Face Representation With Noisy Labels

Deep Polynomial Neural Networks

IEEE transactions on pattern analysis and machine intelligence

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem

A realistic approach to generate masked faces applied on two novel masked face recognition data sets


Wireless signal strength based localization using Gaussian processes and path loss models

Improving Gaussian Processes based mapping of wireless signals using path loss models

Data Information Fusion From Multiple Access Points for WiFi-Based Self-localization

International Conference on Robotics and Automation

Precise and accurate wireless signal strength mappings using Gaussian processes and path loss models

Fast and robust localization using laser rangefinder and wifi data

International Conference on Multisensor Fusion and Integration for Intelligent Systems


An open-source platform for light propagation in birefringent media

Ferroelectric nematic liquid crystalline phases

Control of Light by Topological Solitons in Soft Chiral Birefringent Media

Surface Stabilized Topological Solitons in Nematic Liquid Crystals

Physics-based multistep beam propagation in inhomogeneous birefringent media.

Ray-based optical visualisation of complex birefringent structures including energy transport

Photoaligned Liquid Crystal Devices with Switchable Hexagonal Diffraction Patterns


DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

DeepRoad: GAN-Based Metamorphic Testing and Input Validation Framework for Autonomous Driving Systems

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

Fairness Testing: Testing Software for Discrimination

Concolic Testing for Deep Neural Networks

Predictive Mutation Testing

International Symposium on Software Testing and Analysis

DeepStellar: model-based quantitative analysis of stateful deep learning systems

Is neuron coverage a meaningful measure for testing deep neural networks?

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks

International Conference on Software Engineering

Model-based exploration of the frontier of behaviours for deep learning system testing

DeepMutation++: A Mutation Testing Framework for Deep Learning Systems

International Conference on Automated Software Engineering


Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.

Neural speech restoration at the cocktail party: Auditory cortex recovers masked speech of both attended and ignored speakers

Heard or Understood? Neural Tracking of Language Features in a Comprehensible Story, an Incomprehensible Story and a Word List


Public releases of the FLEE agent-based modelling code.

A generalized simulation development approach for predicting refugee destinations

How Policy Decisions Affect Refugee Journeys in South Sudan: A Study Using Automated Ensemble Simulations

Journal of Artificial Societies and Social Simulation

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations

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

Sensitivity-driven simulation development: a case study in forced migration

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources

Zenodo (CERN European Organization for Nuclear Research)


Improved peak-calling with MACS2

NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors

Epigenetic dysregulation from chromosomal transit in micronuclei

The bowfin genome illuminates the developmental evolution of ray-finned fishes


Repository for tree crown delineation from RGB imagery, coupled with methods to delineate tree crowns from LiDAR data. Further scripts to analyse the mortality rates and carbon stocks of identified individual trees.


How Powerful are Graph Neural Networks?

On the equivalence between graph isomorphism testing and function approximation with GNNs

Relational Pooling for Graph Representations

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

State of the Art and Potentialities of Graph-level Learning


COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1590/SciELOPreprints.362

The ongoing COVID-19 epidemic in Minas Gerais, Brazil: insights from epidemiological data and SARS-CoV-2 whole genome sequencing

COVID-19 Epidemic Forecast in Brazil

Quantifying political influence on COVID-19 fatality in Brazil

Preventable COVID-19 cases and deaths by alternative vaccination and non-pharmacological intervention policies in Brazil

Impact of COVID-19 on the efficacy of meeting the transfusion demand by a Brazilian blood banks network

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis

Variability scaling and capacity planning in Covid-19 pandemic

Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil

Dynamics and Determinants of SARS-CoV-2 RT-PCR Testing on Symptomatic Individuals Attending Healthcare Centers during 2020 in Bahia, Brazil

NAIVE STATISTICAL ANALYSES FOR COVID-19: APPLICATION TO DATA FROM BRAZIL AND ITALY

Using Evolutionary Game Dynamics to Reproduce Phase Portrait Diversity in a Pandemic Scenario


An open source deep learning action recognition and segmentation framework

Temporal Action Detection Using a Statistical Language Model

Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling

A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition

Recurrent Residual Learning for Action Recognition


[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


Transformer Neural Network from Dynamic Malware Detection

SoK: The Impact of Unlabelled Data in Cyberthreat Detection

European Symposium on Security and Privacy

Nebula: Self-Attention for Dynamic Malware Analysis


Node Embeddings in Dynamic Graphs

Node embeddings in dynamic graphs

Temporal walk based centrality metric for graph streams

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

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


Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

A Survey on Time-Series Pre-Trained Models

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

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach


Excess mortality during COVID-19 pandemic

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

The rise and spread of the SARS-CoV-2 AY.122 lineage in Russia

A Spatial Analysis of COVID-19 in African Countries: Evaluating the Effects of Socio-Economic Vulnerabilities and Neighbouring

International journal of environmental research and public health


PET Unified Pipeline

Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease

Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies

Cross-sectional and longitudinal atrophy is preferentially associated with tau rather than amyloid β positron emission tomography pathology

Alzheimer's & dementia (Amsterdam, Netherlands)

Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer’s Disease: Results from the DIAN Study Group

Quantitative Amyloid Imaging Using Image-Derived Arterial Input Function

Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

Lack of association between acute stroke, post-stroke dementia, race, and β-amyloid status

Regional amyloid accumulation predicts memory decline in initially cognitively unimpaired individuals


Representation Learning from Stoichiometry

Recent advances and applications of deep learning methods in materials science

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Materials Representation and Transfer Learning for Multi-Property Prediction

Active learning based generative design for the discovery of wide bandgap materials

Predicting the Outcomes of Material Syntheses with Deep Learning


My master's dissertation on wind turbine fault prediction using machine learning


Differential RhythmicitY analysis in R is an R package that provides the statistical framework to assess differential rhythmicity of a time series with two and more conditions.

Systematic analysis of differential rhythmic liver gene expression mediated by the circadian clock and feeding rhythms

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

Sensory conflict disrupts circadian rhythms in the sea anemone Nematostella vectensis

Collecting mouse livers for transcriptome analysis of daily rhythms

Harvesting mouse suprachiasmatic nucleus by vibrating microtome for diurnal transcriptome analysis

Circadian transcriptome processing and analysis: a workflow for muscle stem cells


Official implementation of BVAE-TTS

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

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech

International Conference on Learning Representations

VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention


Topological data analysis tools for cross correlation matrices

Clique topology reveals intrinsic geometric structure in neural correlations

Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience

Geometry of spiking patterns in early visual cortex: a Topological Data Analytic approach

Clique topology of real symmetric matrices


Decoupled Weight Decay Regularization (ICLR 2019)

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

A Siren Song of Open Source Reproducibility

Computer Vision Self-supervised Learning Methods on Time Series

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models


PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]

Self-Challenging Improves Cross-Domain Generalization

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

Domain Generalization Emerges from Dreaming


ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries

Table-based Fact Verification with Self-labeled Keypoint Alignment

International Conference on Computational Linguistics


An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Searchable Symmetric Encryption.

HardIDX: Practical and Secure Index with SGX

Fast Searchable Encryption With Tunable Locality

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

DataBlinder: A distributed data protection middleware supporting search and computation on encrypted data

PROCEEDINGS OF THE 2019 20TH INTERNATIONAL MIDDLEWARE CONFERENCE INDUSTRIAL TRACK (MIDDLEWARE INDUSTRY '19)


Neural models for documents with metadata

Neural Models for Documents with Metadata

Classification aware neural topic model for COVID-19 disinformation categorisation

Improving Neural Topic Models using Knowledge Distillation

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Neural labeled LDA: a topic model for semi-supervised document classification

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Discovering Topics in Long-tailed Corpora with Causal Intervention

Meeting of the Association for Computational Linguistics

Hierarchical Interpretation of Neural Text Classification

Variational Gaussian Topic Model with Invertible Neural Projections

Classifying COVID-19 vaccine narratives


Next-Generation Sequencing(NGS) toolkits.

The domestication of Cucurbita argyrosperma as revealed by the genome of its wild relative

Environmental pH modulates transcriptomic responses in the fungus Fusarium sp. associated with KSHB Euwallacea sp. near fornicatus

Integrated Analysis of the Transcriptome and Metabolome of Cecropia obtusifolia: A Plant with High Chlorogenic Acid Content Traditionally Used to Treat Diabetes Mellitus

International journal of molecular sciences

Molecular evidence of the avocado defense response to Fusarium kuroshium infection: a deep transcriptome analysis using RNA-Seq

Novel findings to the biosynthetic pathway of magnoflorine and taspine through transcriptomic and metabolomic analysis of Croton draco (Euphorbiaceae)

Assessment of the Molecular Responses of an Ancient Angiosperm against Atypical Insect Oviposition: The Case of Hass Avocados and the Tephritid Fly Anastrepha ludens

Genomic Signals of Adaptation towards Mutualism and Sociality in Two Ambrosia Beetle Complexes

Transcriptomic Analysis of the Host Response to Mild and Severe CTV Strains in Naturally Infected Citrus sinensis Orchards

Transcriptome Mining Provides Insights into Cell Wall Metabolism and Fiber Lignification in Agave tequilana Weber

Ouabain Induces Transcript Changes and Activation of RhoA/ROCK Signaling in Cultured Epithelial Cells (MDCK)


An adversarial example library for constructing attacks, building defenses, and benchmarking both

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking


Recent progress on domain adaption/generalization for medical image segmentation

'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

Test-time adaptable neural networks for robust medical image segmentation

NuClick: A deep learning framework for interactive segmentation of microscopic images

Disentangle domain features for cross-modality cardiac image segmentation

Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

Diverse data augmentation for learning image segmentation with cross-modality annotations

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets


Measure the similarity of text corpora for 74 languages

Representations of Language Varieties Are Reliable Given Corpus Similarity Measures

Register Variation Remains Stable Across 60 Languages

Corpus Similarity Measures Remain Robust Across Diverse Languages

Predicting Embedding Reliability in Low-Resource Settings Using Corpus Similarity Measures


Optimal transport on Multilayer networks

Optimal Transport in Multilayer Networks for Traffic Flow Optimization

Sustainable optimal transport in multilayer networks


Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Relation Extraction Using Distant Supervision

Learning from Rules Generalizing Labeled Exemplars

A survey of noise reduction methods for distant supervision

Conference on Automated Knowledge Base Construction

Analysing the Noise Model Error for Realistic Noisy Label Data

A Brief Survey of Relation Extraction Based on Distant Supervision


Mapping individual differences across brain network structure to function and behavior with connectome embedding

Automated scoring across different modalities

Workshop on Innovative Use of NLP for Building Educational Applications

Seeing Social: A Neural Signature for Conscious Perception of Social Interactions

Analyzing Cognitive Plausibility of Subword Tokenization

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence

MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation

Avoiding Conflict: When Speaker Coordination Does Not Require Conceptual Agreement


A pytorch implementation of Abstract Syntax Networks

Abstract Syntax Networks for Code Generation and Semantic Parsing

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Embedding API dependency graph for neural code generation


R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds


WAND-PIC

Synergistic laser-wakefield and direct-laser acceleration in the plasma-bubble regime.

Far-field constant-gradient laser accelerator of electrons in an ion channel

Nonlinear plasma waves driven by short ultrarelativistic electron bunches

Laser-pulse and electron-bunch plasma wakefield accelerator

WAND-PIC: A three-dimensional quasi-static particle-in-cell code with parallel multigrid solver and without predictor-corrector

Accelerated three-dimensional quasistatic particle-in-cell code


Dense hybrid representations for text retrieval

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval

A Dense Representation Framework for Lexical and Semantic Matching

Densifying Sparse Representations for Passage Retrieval by Representational Slicing


Current Antarctic large iceberg positions derived from ASCAT and OSCAT-2


What goes up must come down again.


Interface to the World Database on Protected Areas


Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

Learning Cosmology and Clustering with Cosmic Graphs

Robust Field-level Likelihood-free Inference with Galaxies

Robust Field-level Inference of Cosmological Parameters with Dark Matter Halos

Robust field-level inference with dark matter halos

A universal equation to predict Ω_ m from halo and galaxy catalogues

Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects


[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Curiosity-Driven Exploration via Latent Bayesian Surprise

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning


Reinforcement Learning Server

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

The Springer series on challenges in machine learning


Zero -- A neural machine translation system

Attention Is All You Need

Self-Attention with Relative Position Representations

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

Fixup Initialization: Residual Learning Without Normalization

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Adaptive Feature Selection for End-to-End Speech Translation

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Sparse Attention with Linear Units

Revisiting End-to-End Speech-to-Text Translation From Scratch


Diarization scoring tools.

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

The Third DIHARD Diarization Challenge

Automated evaluation of psychotherapy skills using speech and language technologies

Third DIHARD Challenge Evaluation Plan

Analysis of the BUT Diarization System for VoxConverse Challenge

Supervised online diarization with sample mean loss for multi-domain data

DOVER: A Method for Combining Diarization Outputs

A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AI


An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

VERSE: Versatile Graph Embeddings from Similarity Measures

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

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

GOSH: Embedding Big Graphs on Small Hardware

PROCEEDINGS OF THE 49TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2020

Understanding Coarsening for Embedding Large-Scale Graphs


Pytorch implementation of Quaternion Knowledge Graph Embeddings.

Quaternion Knowledge Graph Embeddings

Relational Message Passing for Knowledge Graph Completion

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models

Type-augmented Relation Prediction in Knowledge Graphs

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

BiQUE: Biquaternionic Embeddings of Knowledge Graphs


Collection of Wongnai's datasets

WangchanBERTa: Pretraining transformer-based Thai Language Models

Survey on Thai NLP Language Resources and Tools

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Thai Nested Named Entity Recognition Corpus

Findings of the Association for Computational Linguistics: ACL 2022

PhayaThaiBERT: Enhancing a Pretrained Thai Language Model with Unassimilated Loanwords

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark

Assessment of Massively Multilingual Sentiment Classifiers


Mid-Latitude Evaluation System

Bidimensional Diagnostics, Variability, and Trends of Northern Hemisphere Blocking

Changes in meandering of the Northern Hemisphere circulation

The representation of winter Northern Hemisphere atmospheric blocking in ECMWF seasonal prediction systems

Quarterly Journal of the Royal Meteorological Society


Code and data of multiscale Ulva model


Dutch coreference resolution & dialogue analysis using deterministic rules

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

A Dutch coreference resolution system with an evaluation on literary fiction

Computational Linguistics in the Netherlands

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

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


Whispers in the Machine: Confidentiality in LLM-integrated Systems

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Detecting Language Model Attacks with Perplexity

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition


Data and code for grapheme-to-phoneme transducers in lots of languages

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

Fast transcription of speech in low-resource languages

Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision


On the information bottleneck theory of deep learning

Journal of Statistical Mechanics: Theory and Experiment


Archived - please see updated sccmec tool at link below

Staphylococcus aureus viewed from the perspective of 40,000+ genomes

Genome Evolution of Invasive Methicillin-Resistant Staphylococcus aureus in the Americas

Accessory Genome Dynamics of Local and Global Staphylococcus pseudintermedius Populations


Learning Spatiotemporal Features with 3D Convolutional Networks

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

End-to-End Dense Video Captioning with Parallel Decoding

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding


Self-Supervised MRI Reconstruction

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition


Do What The F*ck You Want To Public License

A very long list of English profanity.

A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm

The Telegram Chronicles of Online Harm

Battling Hateful Content in Indic Languages HASOC '21

Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis

Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)

Detox Browser -- Towards Filtering Sensitive Content On the Web


Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Container orchestration on HPC systems through Kubernetes

Journal of Cloud Computing Advances Systems and Applications

MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes

Collectives in hybrid MPI+MPI code: design, practice and performance

Distributed Bayesian matrix factorization with limited communication


Verifying Strong Eventual Consistency in Distributed Systems

Proceedings of the ACM on Programming Languages

A Highly-Available Move Operation for Replicated Trees

IEEE Transactions on Parallel and Distributed Systems

Moving elements in list CRDTs


Processing and visualization tools for quantitative MRI data

Denoising of diffusion MRI using random matrix theory

Diffusion MRI Noise Mapping Using Random Matrix Theory

Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease

Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

Extended phase graphs: Dephasing, RF pulses, and echoes ‐ pure and simple

Journal of magnetic resonance imaging : JMRI

The importance of correcting for signal drift in diffusion MRI

Fast and accurate algorithm for the simulation of NMR spectra of large spin systems.

Journal of magnetic resonance (San Diego, Calif. : 1997)

REKINDLE: Robust extraction of kurtosis INDices with linear estimation

Muscle Changes Detected with Diffusion-Tensor Imaging after Long-Distance Running

Diffusion‐tensor MRI reveals the complex muscle architecture of the human forearm


Creative Commons Attribution 4.0 International

This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how the datasets can be loaded.

Polyconvex anisotropic hyperelasticity with neural networks

Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials

Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials

International Journal for Numerical Methods in Engineering

Numerical homogenization of second gradient, linear elastic constitutive models for cubic 3D beam-lattice metamaterials

International Journal of Solids and Structures

Finite electro-elasticity with physics-augmented neural networks

Computer Methods in Applied Mechanics and Engineering

Nonlinear isogeometric multiscale simulation for design and fabrication of functionally graded knitted textiles

Advanced discretization techniques for hyperelastic physics-augmented neural networks

Nonlinear electro-elastic finite element analysis with neural network constitutive models

Parametrised polyconvex hyperelasticity with physics-augmented neural networks


Tool to calculate the best dispersion measure for a burst using phase information.

Periodic activity from a fast radio burst source

Nine New Repeating Fast Radio Burst Sources from CHIME/FRB

A fast radio burst source at a complex magnetised site in a barred galaxy

Chromatic periodic activity down to 120 megahertz in a fast radio burst

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

Repeating fast radio bursts with WSRT/Apertif

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

The FRB 20121102A November rain in 2018 observed with the Arecibo Telescope

Burst properties of the highly active FRB20201124A using uGMRT

Monthly notices of the Royal Astronomical Society

An analysis of the time-frequency structure of several bursts from FRB 121102 detected with MeerKAT


Library for computer-assisted proofs in dynamical systems

Rigorous computation of solutions of semi-linear PDEs on unbounded domains via spectral methods

Stationary non-radial localized patterns in the planar Swift-Hohenberg PDE: Constructive proofs of existence

Constructive proofs for localized radial solutions of semilinear elliptic systems on ℝ^d

Periodic orbits in Hořava–Lifshitz cosmologies


General Inversion of Phase Technique (GIPhT)

Graph theory for analyzing pair-wise data: application to geophysical model parameters estimated from interferometric synthetic aperture radar data at Okmok volcano, Alaska

Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA

Bayesian Inversion of Wrapped Satellite Interferometric Phase to Estimate Fault and Volcano Surface Ground Deformation Models

Journal of Geophysical Research: Solid Earth

Spatio-temporal analysis and volumetric characterization of interferometric synthetic aperture radar-observed deformation signatures related to underground and in situ leach mining


When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo

Automated model discovery for human brain using Constitutive Artificial Neural Networks

Principal-stretch-based constitutive neural networks autonomously discover a subclass of Ogden models for human brain tissue

Automated model discovery for skin: Discovering the best model, data, and experiment

On sparse regression, Lp-regularization, and automated model discovery

Automated model discovery for human cardiac tissue: Discovering the best model and parameters

Automated model discovery for textile structures: The unique mechanical signature of warp knitted fabrics


Scripts to run several protocols to process and analyze Next-Generation Sequencing data

Protein-coding genes in B chromosomes of the grasshopper Eyprepocnemis plorans

Comparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats

The Role of Satellite DNAs in Genome Architecture and Sex Chromosome Evolution in Crambidae Moths

A Glimpse into the Satellite DNA Library in Characidae Fish (Teleostei, Characiformes)

B chromosomes of multiple species have intense evolutionary dynamics and accumulated genes related to important biological processes

In-Depth Satellitome Analyses of 37 Drosophila Species Illuminate Repetitive DNA Evolution in the Drosophila Genus

A Long-Term Conserved Satellite DNA That Remains Unexpanded in Several Genomes of Characiformes Fish Is Actively Transcribed

Biology and Genomics of an Historic Therapeutic Escherichia coli Bacteriophage Collection

The Satellite DNA Catalogues of Two Serrasalmidae (Teleostei, Characiformes): Conservation of General satDNA Features over 30 Million Years

The complete mitochondrial genome sequence of Astyanax paranae (Teleostei: characiformes)


This is the official implementation of Multi-Agent PPO.

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

Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control

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

Safe Multi-agent Reinforcement Learning with Natural Language Constraints

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning


Official implementation of the paper Stochastic Latent Residual Video Prediction

Stochastic Image-to-Video Synthesis using cINNs

Understanding Object Dynamics for Interactive Image-to-Video Synthesis

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure


Chatting-Day's Dialogue State Tracking (DST)

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Efficient Dialogue State Tracking by Selectively Overwriting Memory

SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking

Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking


A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Learning with minibatch Wasserstein : asymptotic and gradient properties

Minibatch optimal transport distances; analysis and applications

Improving Mini-batch Optimal Transport via Partial Transportation

On Transportation of Mini-batches: A Hierarchical Approach

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


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

Should You Mask 15% in Masked Language Modeling?

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms

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

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


A C++ library for working with particles and grids in a parallel setting.

On the road to per cent accuracy - V. The non-linear power spectrum beyond Lambda CDM with massive neutrinos and baryonic feedback

Monthly Notices of the Royal Astronomical Society

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of Cosmology and Astroparticle Physics

Enabling matter power spectrum emulation in beyond-ΛCDM cosmologies with COLA

Studying large-scale structure probes of modified gravity with COLA

Hi-COLA: fast, approximate simulations of structure formation in Horndeski gravity

Sesame: A power spectrum emulator pipeline for beyond-Lambda CDM models

Revisiting Vainshtein screening for fast N-body simulations

Testing Gravity on Cosmological Scales: Theoretical Predictions with the COLA Method


Display and fit Optical (spectro-)Interferometric OIFITS data

HR 6819 is a binary system with no black hole

Flexible Spectro Interferometric modelling of OIFITS data with PMOIRED

Dynamical Masses of the Primary Be Star and Secondary sdB Star in the Single-lined Binary κ Dra (B6 IIIe)

Resolving the dynamical mass tension of the massive binary 9 Sagittarii

The origin of close massive binaries in the M17 star-forming region

Imaging the Inner Astronomical Unit of the Herbig Be Star HD 190073

The Araucaria project: High-precision orbital parallaxes and masses of binary stars

Transition disc nature of post-AGB binary systems confirmed by mid-infrared interferometry

The CHARA Array Interferometric Program on the Multiplicity of Classical Be Stars: New Detections and Orbits of Stripped Subdwarf Companions

The Great Dimming of the Hypergiant Star RW Cephei: CHARA Array Images and Spectral Analysis


SFU Opinion and Comments Corpus

News recommender system: a review of recent progress, challenges, and opportunities

The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English

Corpora Annotated with Negation: An Overview

A corpus analysis of online news comments using the Appraisal framework

Journal of Corpora and Discourse Studies

Classifying Constructive Comments


Slender-body hydrodynamics

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

The hydrodynamics of a twisting, bending, inextensible fiber in Stokes flow

Slender body theories for rotating filaments

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


A R package to apply the climate reconstruction CREST.

CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

Enabling possibilities to quantify past climate from fossil assemblages at a global scale

crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

Reconstructing Terrestrial Paleoclimates: A Comparison of the Co‐Existence Approach, Bayesian and Probability Reconstruction Techniques Using the UK Neogene

crestr An R package to perform probabilistic climate reconstructions using fossil proxies


This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.

Empathy: A Review of the Concept

The Emerging Study of Positive Empathy

Social and Personality Psychology Compass

Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention

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

Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community

Constructing Knowledge Graphs of Depression

What If Bots Feel Moods?

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

I like that you feel my pain, but I love that you feel my joy: Empathy for a partner’s negative versus positive emotions independently affect relationship quality

Journal of Social and Personal Relationships

The Language of Situational Empathy

Proceedings of the ACM on Human-Computer Interaction

Assessing Users' Mental Status from their Journaling Behavior through Chatbots

PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS (ACM IVA 2020)

Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking


Library for discrete Lehmann representation of imaginary time Green's functions

Discrete Lehmann representation of imaginary time Green's functions

libdlr: Efficient imaginary time calculations using the discrete Lehmann representation

A fast time domain solver for the equilibrium Dyson equation

Low-rank Green's function representations applied to dynamical mean-field theory

cppdlr: Imaginary time calculations using the discrete Lehmann
  representation


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

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


FastPoseGait is a user-friendly and flexible repository that aims to help researchers get started on pose-based gait recognition quickly.

Spatial transformer network on skeleton‐based gait recognition

GPGait: Generalized Pose-based Gait Recognition

FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition


Gauge Link Utility (GLU) is a lattice field theory library.

Domain wall QCD with physical quark masses

K →ππ Δ I=3/2 decay amplitude in the continuum limit

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Nonperturbative Renormalization of Nonlocal Quark Bilinears for Parton Quasidistribution Functions on the Lattice Using an Auxiliary Field

The decay constants f(D) and f(Ds) in the continuum limit of N-f=2+1 domain wall lattice QCD

Lattice continuum-limit study of nucleon parton quasidistribution functions

Dark matter from strong dynamics: the minimal theory of dark baryons

Fourier accelerated conjugate gradient lattice gauge fixing

Improved lattice fermion action for heavy quarks

An exploratory study of heavy domain wall fermions on the lattice

Diquark properties from full QCD lattice simulations


Library of approximate arithmetic circuits

EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods

PROCEEDINGS OF THE 2017 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)

Design of power-efficient approximate multipliers for approximate artificial neural networks

International Conference on Computer Aided Design

Evolutionary Approach to Approximate Digital Circuits Design

IEEE Transactions on Evolutionary Computation

Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems

PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

Role of circuit representation in evolutionary design of energy-efficient approximate circuits

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems


The continuous Bernoulli: fixing a pervasive error in variational autoencoders

Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning

The continuous categorical: a novel simplex-valued exponential family

Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial

Deep Learning-Based Graffiti Detection: A Study Using Images from the Streets of Lisbon

On the Normalizing Constant of the Continuous Categorical Distribution


RuREBus shared task repo

RUREBUS-2020 SHARED TASK: RUSSIAN RELATION EXTRACTION FOR BUSINESS

Kompʹûternaâ lingvistika i intellektualʹnye tehnologii

So What's the Plan? Mining Strategic Planning Documents


Config files for my GitHub profile.

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

Scalars are universal: Equivariant machine learning, structured like classical physics

Dimensionless machine learning: Imposing exact units equivariance

Towards fully covariant machine learning

A simple equivariant machine learning method for dynamics based on scalars


Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Random forest based similarity learning for single cell RNA sequencing data

Analysis and Visualization of Spatial Transcriptomic Data

SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data

基因组蛋白质组与生物信息学报

Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer

Computational and structural biotechnology journal

Deep Learning in Single-Cell Analysis

Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles

Clustering with feature selection using alternating minimization, Application to computational biology


Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?


[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

Decoupled Training for Long-Tailed Classification With Stochastic Representations


Tools for working with Hansen et al. Global Forest Change dataset


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

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

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

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


This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

Radiomics to predict the mortality of patients with rheumatoid arthritis-associated interstitial lung disease: A proof-of-concept study

First results of spatial reconstruction and quantification of COVID-19 chest CT infiltrates using lung CT analyzer and 3D slicer

From Voxels to Prognosis: AI-Driven Quantitative Chest CT Analysis Forecasts ICU Requirements in 78 COVID-19 Cases

Estimation of Covid-19 lungs damage based on computer tomography images analysis


This repository is the official implementation of Improving Object-centric Learning With Query Optimization

Improving Object-centric Learning with Query Optimization

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior

OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning


A repository and benchmark for online test-time adaptation.

Continual Test-Time Domain Adaptation

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

Introducing Intermediate Domains for Effective Self-Training during Test-Time

Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction

Decoupled Prototype Learning for Reliable Test-Time Adaptation

A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-time Adaptation for Vision-Language Models


Neural information retrieval: at the end of the early years

Bernoulli Rank-1 Bandits for Click Feedback

A Graph-Enhanced Click Model for Web Search

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback

An Adversarial Imitation Click Model for Information Retrieval

Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank

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

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model

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

De-Biased Modeling of Search Click Behavior with Reinforcement Learning

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

USimAgent: Large Language Models for Simulating Search Users

Online Learning to Rank with List-level Feedback for Image Filtering


Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.

Entropy-based Logic Explanations of Neural Networks

Logic Explained Networks

PyTorch, Explain! A Python library for Logic Explained Networks

Extending Logic Explained Networks to Text Classification


Equation-Free function toolbox for Matlab/Octave

A toolbox of equation-free functions in Matlab/Octave for efficient system level simulation

Equation-free patch scheme for efficient computational homogenisation via self-adjoint coupling

A multiscale scheme accurately simulates macroscale shocks in an equation-free framework

Efficient computational homogenisation of 2D beams of heterogeneous elasticity using the patch scheme


Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

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

Noisy-MAPPO: Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods.


Classification of smart contract vulnerabilities

A Framework and DataSet for Bugs in Ethereum Smart Contracts

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration


A collection of tools to process single-cell omics datasets.

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines

Cancer-associated fibroblasts undergoing neoadjuvant chemotherapy suppress rectal cancer revealed by single-cell and spatial transcriptomics

The FASTQ plus format and PISA

Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish

Frontiers in cell and developmental biology

Single-Nucleus Chromatin Accessibility Landscape Reveals Diversity in Regulatory Regions Across Distinct Adult Rat Cortex

Transcriptomic Profile of the Mouse Postnatal Liver Development by Single-Nucleus RNA Sequencing

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta

Single-Cell Transcriptome Analysis of H5N1-HA-Stimulated Alpaca PBMCs

Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver


A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

qgs: A flexible Python framework of reduced-order multiscale climate models

Correcting for Model Changes in Statistical Post-Processing - An approach based on Response Theory

Causal dependencies and Shannon entropy budget -- Analysis of a reduced
  order atmospheric model


PyTorch implementation of SENet

Squeeze-and-Excitation Networks

Mixed High-Order Attention Network for Person Re-Identification

Rethinking the Pruning Criteria for Convolutional Neural Network

RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections

Weight Normalization based Quantization for Deep Neural Network Compression

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence


This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking neural networks.

Fast and energy-efficient neuromorphic deep learning with first-spike times

Event-based backpropagation can compute exact gradients for spiking neural networks

The Yin-Yang dataset

Learning efficient backprojections across cortical hierarchies in real time


code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Exponential Family Estimation via Adversarial Dynamics Embedding

Normalizing flows for novelty detection in industrial time series data

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Non-Gaussian Gaussian Processes for Few-Shot Regression

Flow-based likelihoods for non-Gaussian inference

Second-Order Neural ODE Optimizer

Interpolated Adjoint Method for Neural ODEs.

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows


ST-MoE: Designing Stable and Transferable Sparse Expert Models

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Mixture of Attention Heads: Selecting Attention Heads Per Token

OLMoE: Open Mixture-of-Experts Language Models


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

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

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

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

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


FlexiGIS: Open source GIS-based platform for the optimisation of flexibility options in urban areas


Accurate Condition Synthesis

Precise Condition Synthesis for Program Repair

Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques

Multi-Location Program Repair Strategies Learned from Successful Experience (S)


TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning


This repo is the home of Romanian Transformers.

RoBERT – A Romanian BERT Model

International Conference on Computational Linguistics

The birth of Romanian BERT

Exploring the Power of Romanian BERT for Dialect Identification

Workshop on NLP for Similar Languages, Varieties and Dialects

Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification

Deception detection in text and its relation to the cultural dimension of individualism/collectivism


NAS-Bench-201 API and Instruction

Deep Residual Learning for Image Recognition

Aggregated Residual Transformations for Deep Neural Networks

NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search

International Conference on Learning Representations

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

On the insufficiency of existing momentum schemes for Stochastic Optimization

How Powerful are Performance Predictors in Neural Architecture Search?

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Training Stronger Baselines for Learning to Optimize


Exploring techniques for estimating safety of machine learning classifiers

AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation

Uncertainty Wrappers for Data-Driven Models - Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates

SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures

Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring


Challenge inputs, details, and results for the SAMPL6 series of challenges

Blind prediction of host-guest binding affinities: a new SAMPL3 challenge

Journal of computer-aided molecular design

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

The SAMPL4 host–guest blind prediction challenge: an overview

Overview of the SAMPL5 host–guest challenge: Are we doing better?

Cucurbit[8]uril Mediated Donor–Acceptor Ternary Complexes: A Model System for Studying Charge-Transfer Interactions

Overview of the SAMPL6 host–guest binding affinity prediction challenge

Binding of cyclic carboxylates to octa-acid deep-cavity cavitand

Nonmonotonic assembly of a deep-cavity cavitand.

Journal of the American Chemical Society

Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge

A Simple Assay for Quality Binders to Cucurbiturils


A python package that allows you to download PADOVA isochrones directly from their website

StarHorse : a Bayesian tool for determining stellar masses, ages, distances, and extinctions for field stars

Monthly Notices of the Royal Astronomical Society

From the bulge to the outer disc: StarHorse stellar parameters, distances, and extinctions for stars in APOGEE DR16 and other spectroscopic surveys

A Gaia DR2 Mock Stellar Catalog

Publications of the Astronomical Society of the Pacific

StarHorse results for spectroscopic surveys and Gaia DR3: Chrono-chemical populations in the solar vicinity, the genuine thick disk, and young alpha-rich stars

Uncovering new white dwarf - open cluster associations using Gaia DR3


A JavaScript bilingual text realizer for web development

JSrealB: A Bilingual Text Realizer for Web Programming

The jsRealB Text Realizer: Organization and Use Cases -- Revised version


Next generation sequence parameter library for proteins

Direct prediction of intrinsically disordered protein conformational properties from sequence

The Analytical Flory Random Coil Is a Simple-to-Use Reference Model for Unfolded and Disordered Proteins

bioRxiv : the preprint server for biology

Aberrant Phase Separation is a Common Killing Strategy of Positively Charged Peptides in Biology and Human Disease

Conserved molecular recognition by an intrinsically disordered region in the absence of sequence conservation

Labile assembly of a tardigrade protein induces biostasis

Protein science : a publication of the Protein Society


Parallel Search-Based Planning Algorithms

ePA*SE: Edge-based Parallel A* for Slow Evaluations

GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations

A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations


Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021

Few-shot Compositional Font Generation with Dual Memory

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

Few-Shot Font Generation With Weakly Supervised Localized Representations


[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using
  Local-Global Features


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

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

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

phippery: a software suite for PhIP-Seq data analysis

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


ANNOgesic - A Swiss army knife for the RNA-Seq based annotation of bacterial/archaeal genomes

ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes

Identification of BvgA-Dependent and BvgA-Independent Small RNAs (sRNAs) in Bordetella pertussis Using the Prokaryotic sRNA Prediction Toolkit ANNOgesic

Development and application of computational tools for RNA-Seq based transcriptome annotations

Use of a combined antibacterial synergy approach and the ANNOgesic tool to identify novel targets within the gene networks of multidrug-resistant Klebsiella pneumoniae


Adversarial Natural Language Inference Benchmark

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

Language Models are Few-Shot Learners

RoBERTa: A Robustly Optimized BERT Pretraining Approach

XLNet: Generalized Autoregressive Pretraining for Language Understanding

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Adversarial NLI: A New Benchmark for Natural Language Understanding

Adversarial Training for Large Neural Language Models

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena


High-accuracy simulation of light propagation

A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media

Ultra-thin boundary layer for high-accuracy simulations of light propagation

Observation of Light-Induced Dipole-Dipole Forces in Ultracold Atomic Gases


HPXML to Home Energy Score Translator


This project includes a simulator and workload generator for Edge-to-Cloud environments. Users can implement different scenarios, including those with heterogeneous Edge and Cloud resources and configure energy constraints on them.

E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems

Optimizing Task Scheduling in Heterogeneous Computing Environments: A
  Comparative Analysis of CPU, GPU, and ASIC Platforms Using E2C Simulator


RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

Whole genome sequencing in clinical and public health microbiology

Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns

The tuatara genome reveals ancient features of amniote evolution

Comprehensive Genomic Profiling of Neuroendocrine Carcinomas of the Gastrointestinal System

A Format for Phylogenetic Placements

Complete Genome Sequencing of Lactobacillus plantarum ZLP001, a Potential Probiotic That Enhances Intestinal Epithelial Barrier Function and Defense Against Pathogens in Pigs

Complete Genome Sequencing and Comparative Genome Characterization of Lactobacillus johnsonii ZLJ010, a Potential Probiotic With Health-Promoting Properties

Target Nuclear and Off-Target Plastid Hybrid Enrichment Data Inform a Range of Evolutionary Depths in the Orchid Genus Epidendrum

Biocontrol Potential of a Novel Endophytic Bacterium From Mulberry (Morus) Tree

Frontiers in bioengineering and biotechnology


A GenePattern module for running the ssGSEA method

Dissecting the DNA binding landscape and gene regulatory network of p63 and p53

Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress

Integration of bulk RNA sequencing and single-cell analysis reveals a global landscape of DNA damage response in the immune environment of Alzheimer’s disease


Variational Bayes HMM over x-vectors diarization

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Analysis of the BUT Diarization System for VoxConverse Challenge

BUT System Description for DIHARD Speech Diarization Challenge 2019

Magnitude-aware Probabilistic Speaker Embeddings

Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization

Separation Guided Speaker Diarization in Realistic Mismatched Conditions

Channel-Combination Algorithms for Robust Distant Voice Activity and Overlapped Speech Detection

ALLIES: A Speech Corpus for Segmentation, Speaker Diarization, Speech Recognition and Speaker Change Detection

International Conference on Language Resources and Evaluation

Collar-aware Training for Streaming Speaker Change Detection in Broadcast Speech

The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description


Public repository of the CLASS code that has the functionality of producing delensed CMB spectra and lensing-reconstruction noise spectra, for given CMB experimental specifications. Code can also be used as a submodule of the Fisher forecasting tool https://github.com/ctrendafilova/FisherLens.

The benefits of CMB delensing

Improving constraints on models addressing the Hubble tension with CMB delensing

Improving constraints on inflation with CMB delensing

Beyond Fisher forecasting for cosmology

Cosmological parameter forecasts for a CMB-HD survey


Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks


Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging

qMRLab: Quantitative MRI analysis, under one umbrella

Cortical recycling in high-level visual cortex during childhood development

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

Microstructural properties of the vertical occipital fasciculus explain the variability in human stereoacuity

Microstructural plasticity in the bilingual brain

Diffusivity and quantitative T1 profile of human visual white matter tracts after retinal ganglion cell damage

Infants’ cortex undergoes microstructural growth coupled with myelination during development

White matter fascicles and cortical microstructure predict reading-related responses in human ventral temporal cortex

Microstructural deficits of the thalamus in major depressive disorder


The Rolling Hough Transform

Inference of the chromospheric magnetic field orientation in the Ca II 8542 Å line fibrils

Magnetically aligned straight depolarization canals and the rolling Hough transform

Turbulence and Energetic Particles in Radiative Shock Waves in the Cygnus Loop. II. Development of Postshock Turbulence

Multi-tracer analysis of straight depolarisation canals in the surroundings of the 3C 196 field

A Comparison of Multiphase Magnetic Field Tracers in a High Galactic Latitude Region of the Filamentary Interstellar Medium

HI filaments as potential compass needles? Comparing the magnetic field structure of the Small Magellanic Cloud to the orientation of GASKAP-HI filaments

MaLeFiSenta: Machine Learning for FilamentS Identification and Orientation in the ISM


Diffusion MRI Simulation Toolbox in Matlab

Challenges for biophysical modeling of microstructure

SpinDoctor: A MATLAB toolbox for diffusion MRI simulation

Diffusion MRI simulation of realistic neurons with SpinDoctor and the Neuron Module

Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions


Data Consistency Toolbox for Magnetic Resonance Imaging

U-Net: Convolutional Networks for Biomedical Image Segmentation

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Recurrent inference machines for reconstructing heterogeneous MRI data

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

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

A unified model for reconstruction and R-2* mapping of accelerated 7T data using the quantitative recurrent inference machine