Code Repository for the EMCL-PKDD 2021 "Multitask Recalibrated Aggregation Network for Medical Code Prediction)

A Unified Review of Deep Learning for Automated Medical Coding

Multitask Balanced and Recalibrated Network for Medical Code Prediction

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: APPLIED DATA SCIENCE TRACK, PT IV


Visualizations based on best open science practices.

Raincloud plots: a multi-platform tool for robust data visualization

A randomised, double-blind, sham-controlled trial of deep brain stimulation of the bed nucleus of the stria terminalis for treatment-resistant obsessive-compulsive disorder

Complexity and 1/f slope jointly reflect brain states

Recognizing the Impact of COVID-19 on the Poor Alters Attitudes Towards Poverty and Inequality

Journal of experimental social psychology

Does sleep-dependent consolidation favour weak memories?

Cortex; a journal devoted to the study of the nervous system and behavior

Testing the efficacy of three informational interventions for reducing misperceptions of the Black–White wealth gap

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

Mnemonic construction and representation of temporal structure in the hippocampal formation

Longitudinal patterns of white matter fibre density and morphology in children are associated with age and pubertal stage

Emotional Metacognition: Stimulus Valence Modulates Cardiac Arousal and Metamemory

Proactive and reactive metacontrol in task switching


Online Prototype Learning for Online Continual Learning (ICCV 2023)

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


TLDR: Extreme Summarization of Scientific Documents

Domain Adaptation of Neural Machine Translation by Lexicon Induction

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Twist Decoding: Diverse Generators Guide Each Other


Stencil with Optimized Dataflow Architecture Compiler

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

Symposium on Field Programmable Gate Arrays

SODA: Stencil with Optimized Dataflow Architecture

International Conference on Computer Aided Design

Rapid Cycle-Accurate Simulator for High-Level Synthesis


X-ray absorption re-emission scattering - Monte Carlo simulator for X-ray obscurers

X-ray spectral and eclipsing model of the clumpy obscurer in active galactic nuclei

Physically motivated X-ray obscurer models

X-ray radiative transfer in full 3D with SKIRT

The High-Energy X-ray Probe (HEX-P): the circum-nuclear environment of growing supermassive black holes

A hard look at the X-ray spectral variability of NGC 7582

Investigating Model Dependencies for Obscured Active Galactic Nuclei: A Case Study of NGC 3982


A convolutional neural network for tuberculosis diagnosis from frontal chest X-Rays

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation


Implementation of Block Recurrent Transformer - Pytorch

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Compressive Transformers for Long-Range Sequence Modelling

Block-Recurrent Transformers


Implementation of Deep Level Sets paper

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Learning a Predictable and Generative Vector Representation for Objects

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers


Brain-related -omics data

An anatomically comprehensive atlas of the adult human brain transcriptome

Analysis of shared heritability in common disorders of the brain

Comprehensive functional genomic resource and integrative model for the human brain

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain

Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases

An Atlas of Gene Regulatory Elements in Adult Mouse Cerebrum

Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development

Brain metastasis DNA methylomes, a novel resource for the identification of biological and clinical features

Widespread methylation quantitative trait loci and their role in schizophrenia risk


Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)

Linear Transformers Are Secretly Fast Weight Programmers

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers

A Modern Self-Referential Weight Matrix That Learns to Modify Itself


Implementation of BFT consensus protocols based on the Narwhal mempool.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Motorway: Seamless high speed BFT

JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable


Quantum Operators from SYmmetry

Numerical Evidence for Many-Body Localization in Two and Three Dimensions

Engineering topological models with a general-purpose symmetry-to-Hamiltonian approach

Operator Growth and Symmetry-Resolved Coefficient Entropy in Quantum Maps


Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized
  Control

Feedback Efficient Online Fine-Tuning of Diffusion Models


A fast sparse attack on deep neural networks.

DeepFool: a simple and accurate method to fool deep neural networks

SparseFool: a few pixels make a big difference

GreedyFool: Distortion-Aware Sparse Adversarial Attack

EdgeFool: An Adversarial Image Enhancement Filter


Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)

Enhanced Short Text Modeling: Leveraging Large Language Models for Topic
  Refinement

GINopic: Topic Modeling with Graph Isomorphism Network


Volumetric path tracer written in C++

Monte Carlo Methods for Volumetric Light Transport Simulation

Residual ratio tracking for estimating attenuation in participating media

International Conference on Computer Graphics and Interactive Techniques

Hero Wavelength Spectral Sampling

Production volume rendering

A null-scattering path integral formulation of light transport

Integral formulations of volumetric transmittance

Practical and controllable subsurface scattering for production path tracing


Full ROS implementation of BKI with dynamic BKI and convolutional BKI

RELLIS-3D Dataset: Data, Benchmarks and Analysis

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty


A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

AutoMeTS: The Autocomplete for Medical Text Simplification

Mitigating Data Scarcity for Large Language Models


A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

Pay Attention to MLPs

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling


Framework for writing bots that play Hanabi.

The Hanabi Challenge: A New Frontier for AI Research

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Improving Policies via Search in Cooperative Partially Observable Games

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

Theory of Mind for Deep Reinforcement Learning in Hanabi

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi


An official implementation of the MAF_HDA Tracker

Mask R-CNN

High-Speed Tracking with Kernelized Correlation Filters

IEEE transactions on pattern analysis and machine intelligence

Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management

Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion


Calculate Average Nucleotide Identity (ANI) for prokaryotic genomes

Development of gut microbiota and bifidobacterial communities of neonates in the first 6 weeks and their inheritance from mother

Comparative genomic analyses of Lactobacillus rhamnosus isolated from Chinese subjects

Gene content dissimilarity for subclassification of highly similar microbial strains

Draft genome sequences for the obligate bacterial predators Bacteriovorax spp. of four phylogenetic clusters

Complete genome assembly of clinical multidrug resistant Bacteroides fragilis isolates enables comprehensive identification of antimicrobial resistance genes and plasmids


Online construction of run-length BWT (RLBWT) and r-index. Plus, online LZ77 parsing based on RLBWT.

Refining the r-index

A Faster Implementation of Online Run-Length Burrows-Wheeler Transform

An Optimal-Time RLBWT Construction in BWT-runs Bounded Space

Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing


CCLasso: Correlation Inference for Compositional Data through Lasso

CCLasso: correlation inference for compositional data through Lasso

Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis

Modeling Microbial Community Networks: Methods and Tools

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data


This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection

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


Scaleable input gradient regularization

Explaining and Harnessing Adversarial Examples

A Closer Look at Accuracy vs. Robustness

Scaleable input gradient regularization for adversarial robustness

Adversarial Robustness Through Local Lipschitzness

Improved robustness to adversarial examples using Lipschitz regularization of the loss


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


CellRank's reproducibility repository.

Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis

CellRank for directed single-cell fate mapping

Single-cell mapping of lineage and identity in direct reprogramming

Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis


Normalized Mutual Information to evaluate overlapping community finding algorithms

Leveraging disjoint communities for detecting overlapping community structure

A Game-Theoretic Approach for Detection of Overlapping Communities in Dynamic Complex Networks

Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks


PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Mean-Shifted Contrastive Loss for Anomaly Detection

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation


Neural network loss functions for regression and classification tasks that can say "I don't know".

Combating Label Noise in Deep Learning Using Abstention

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems


On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

On the Convergence of Continuous Constrained Optimization for Structure Learning

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Optimizing NOTEARS Objectives via Topological Swaps

Learning DAGs from Data with Few Root Causes

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization


Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging


Evaluating video predictions from the standpoint of a robot making action decisions

Deep Visual Foresight for Planning Robot Motion

Predicting Deeper into the Future of Semantic Segmentation

Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study


[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"

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

Large Multi-modal Encoders for Recommendation


Code repo for KDD'22 paper : 'RES: A Robust Framework for Guiding Visual Explanation'

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

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

Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations


Interactive multivariate data analysis in R implemented in shiny.

Integrated microbiome and metabolome analysis reveals a novel interplay between commensal bacteria and metabolites in colorectal cancer

Genomic, Proteomic, and Metabolomic Data Integration Strategies

From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics

Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses


Concatenates FASTA formatted files to one "phyml" (PHYLIP) formatted file

The Lingula genome provides insights into brachiopod evolution and the origin of phosphate biomineralization

The tuatara genome reveals ancient features of amniote evolution

Comparative genomics of 10 new Caenorhabditis species

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

Zenodo (CERN European Organization for Nuclear Research)

Whole-genome microsynteny-based phylogeny of angiosperms

Continental-Scale Gene Flow Prevents Allopatric Divergence of Pelagic Freshwater Bacteria

Landscape of mobile genetic elements and their antibiotic resistance cargo in prokaryotic genomes

The Genome of Caenorhabditis bovis

Complex subsurface hydrothermal fluid mixing at a submarine arc volcano supports distinct and highly diverse microbial communities

Ultraconserved elements (UCEs) illuminate the population genomics of a recent, high-latitude avian speciation event


Data Distributional Properties Drive Emergent In-Context Learning in Transformers

The Transient Nature of Emergent In-Context Learning in Transformers

What needs to go right for an induction head? A mechanistic study of
  in-context learning circuits and their formation


Paddle detection to pytorch

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOX: Exceeding YOLO Series in 2021

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

PP-YOLOE: An evolved version of YOLO

YOLOv6 v3.0: A Full-Scale Reloading


HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

SODA: Stencil with Optimized Dataflow Architecture

HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration

FLASH: Fast, Parallel, and Accurate Simulator for HLS

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Rapid Cycle-Accurate Simulator for High-Level Synthesis


Green Finance and Environmental Risk


Creative Commons Attribution 4.0 International

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

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

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks


[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

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

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems

BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks


Codes for the benchmark experiments in the paper "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


Matlab scripts that extract single subject grey matter networks from grey matter segmented T1 weighted images

Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

Brain Structural Network Compensation Is Associated With Cognitive Impairment and Alzheimer’s Disease Pathology

Age and Sex-Related Effects on Single-Subject Gray Matter Networks in Healthy Participants

Gray matter structural networks related to 18F-THK5351 retention in cognitively normal older adults and Alzheimer's disease patients


Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding


Adaptive multidimensional Monte Carlo integration.

Tenth-Order Electron Anomalous Magnetic Moment --- Contribution of Diagrams without Closed Lepton Loops

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

Adaptive multidimensional integration: vegas enhanced

The first all-sky view of the Milky Way stellar halo with Gaia+2MASS RR Lyrae

Monthly Notices of the Royal Astronomical Society

Accelerated matrix element method with parallel computing

Improved information criteria for Bayesian model averaging in lattice field theory

Latest results from lattice N=4 supersymmetric Yang--Mills

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

Nonperturbative Infrared Finiteness in a Superrenormalizable Scalar Quantum Field Theory

Perturbative QCD meets phase quenching: The pressure of cold Quark
  Matter

SIDIS-RC EvGen: A Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections

Discovery of the shell structure via break radii in the outer halo of the Milky Way


The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE


G-SchNet - a generative model for 3d molecular structures

Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

MDM: Molecular Diffusion Model for 3D Molecule Generation

High-throughput property-driven generative design of functional organic molecules

Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation


CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions


code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22

A Survey of Machine Unlearning

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

CaMU: Disentangling Causal Effects in Deep Model Unlearning


Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Continuous Deep Q-Learning with Model-based Acceleration


A fast implementation of the LA Cosmic algorithm

SkyMapper Southern Survey: First Data Release (DR1)

Publications of the Astronomical Society of Australia

The SED Machine: A Robotic Spectrograph for Fast Transient Classification

Publications of the Astronomical Society of the Pacific

Light echoes from the plateau in Eta Carinae’s Great Eruption reveal a two-stage shock-powered event

Monthly notices of the Royal Astronomical Society

Exceptionally fast ejecta seen in light echoes of Eta Carinae’s Great Eruption

New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep

Hyper Suprime-Cam Low Surface Brightness Galaxies. II. A Hubble Space Telescope Study of the Globular Cluster Systems of Ultradiffuse Galaxies in Groups*

Constraints on Cosmic-ray Acceleration Efficiency in Balmer Shocks of Two Young Type Ia Supernova Remnants in the Large Magellanic Cloud

Discovery of a Very Large (≈20 kpc) Galaxy at z = 3.72

Disintegration of Long-period Comet C/2019 Y4 (ATLAS). I. Hubble Space Telescope Observations

SkyMapper Southern Survey: Data Release 4


A repo for knowledge tracing implementation by PyTorch

Deep Knowledge Tracing

A Self-Attentive model for Knowledge Tracing

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory


This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Capacity and Trainability in Recurrent Neural Networks


Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder

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

Disrupted intrinsic functional brain topology in patients with major depressive disorder

Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination

Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naive patients with major depressive disorder

Demonstrating quality control procedures for fMRI in DPABI


Arioc:  GPU-accelerated DNA short-read alignment

Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space

Arioc: GPU-accelerated alignment of short bisulfite-treated reads

Arioc: High-concurrency short-read alignment on multiple GPUs


An open-source Python library for extrinsic sensor calibration.

Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions

Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation


Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022

Latent Outlier Exposure for Anomaly Detection with Contaminated Data

Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings


Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21

Gated Path Planning Networks

Path Planning using Neural A* Search

Learning Heuristic Search via Imitation

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

[Reproducibility Report] Path Planning using Neural A* Search


LLaMA: Open and Efficient Foundation Language Models

Few-shot Learning with Multilingual Language Models

Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU


[ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

Theoretical Analysis of Offline Imitation With Supplementary Dataset

How to Leverage Diverse Demonstrations in Offline Imitation Learning


Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

New insights and perspectives on the natural gradient method

Preconditioned Stochastic Gradient Descent

IEEE transactions on neural networks and learning systems

Preconditioner on Matrix Lie Group for SGD

Black Box Lie Group Preconditioners for SGD

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners


CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Pre-gen metrics: Predicting caption quality metrics without generating captions

On Architectures for Including Visual Information in Neural Language Models for Image Description


*UNOFFICIAL, UNMAINTAINED and OUTDATED*: This was an unofficial archive of GMAP-GSNAP releases.  Please use the original website for current versions of the source code.

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

Technology dictates algorithms: Recent developments in read alignment

Early Life Exposure to Environmentally Relevant Levels of Endocrine Disruptors Drive Multigenerational and Transgenerational Epigenetic Changes in a Fish Model

Allele Workbench: Transcriptome Pipeline and Interactive Graphics for Allele-Specific Expression

Transcript Complexity and New Insights of Restorer Line in CMS-D8 Cotton Through Full-Length Transcriptomic Analysis

Single-Molecule Real-Time Sequencing for Identifying Sexual-Dimorphism-Related Transcriptomes and Genes in the Chinese Soft-Shelled Turtle (Pelodiscus sinensis)

Animals : an open access journal from MDPI


Simple codes and lines to process 3C/Hi-C data

A low Smc flux avoids collisions and facilitates chromosome organization in Bacillus subtilis

A joint-ParB interface promotes Smc DNA recruitment

Fine-tuning of the Smc flux facilitates chromosome organization in B. subtilis

Single-nucleotide resolution detection of Topo IV cleavage activity in the Escherichia coli genome with Topo-Seq


beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022

AdaBins: Depth Estimation using Adaptive Bins

Causal Influence Detection for Improving Efficiency in Reinforcement Learning

Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization


Experiments with speech enhancement

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

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

Speech Denoising with Deep Feature Losses

Improved Speech Enhancement with the Wave-U-Net


Generating Information-Seeking Conversations from Unlabeled Documents (EMNLP 2022).

Longformer: The Long-Document Transformer

FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models

Book2Dial: Generating Teacher-Student Interactions from Textbooks for
  Cost-Effective Development of Educational Chatbots


PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Do ImageNet Classifiers Generalize to ImageNet?

Human uncertainty makes classification more robust

A Survey of Deep Learning for Scientific Discovery

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.

A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets


A pipeline for complete characterization of complex germline rearrangements from long DNA reads

Long-read DNA sequencing fully characterized chromothripsis in a patient with Langer–Giedion syndrome and Cornelia de Lange syndrome-4

Biallelic structural variations within FGF12 detected by long-read sequencing in epilepsy

A method for complete characterization of complex germline rearrangements from long DNA reads

Finding rearrangements in nanopore DNA reads with last and dnarrange


Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Evaluating Bayesian Deep Learning Methods for Semantic Segmentation

Loss-Calibrated Approximate Inference in Bayesian Neural Networks


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Mean Field Multi-Agent Reinforcement Learning

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors


A toolkit for testing machine translation [ICSE'20, '21, ESEC/FSE'20]

Structure-Invariant Testing for Machine Translation

SemMT: A Semantic-Based Testing Approach for Machine Translation Systems

Machine Translation Testing via Syntactic Tree Pruning


GPT-4 Technical Report

Evaluating Superhuman Models with Consistency Checks


ADC Performance Survey 1997-2024 (ISSCC & VLSI Circuit Symposium)

Parallel in-memory wireless computing

X-Former: In-Memory Acceleration of Transformers

Continuous-Variable Quantum Key Distribution at 10 GBaud using an Integrated Photonic-Electronic Receiver

Waveforms for sub-THz 6G: Design Guidelines

CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool

Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory
  Accelerator Design

Spectral vs Energy Efficiency in 6G: Impact of the Receiver Front-End

Improved Likelihood Probability in MIMO Systems Using One-Bit ADCs

The Impact of SAR-ADC Mismatch on Quantized Massive MU-MIMO Systems


COMM 4940: Governing Human-Algorithm Behavior

A Contextual-Bandit Approach to Personalized News Article Recommendation

Exposure to ideologically diverse news and opinion on Facebook

A Theory of Racialized Organizations

#Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures

Thinking critically about and researching algorithms

Algorithmic Fairness: Choices, Assumptions, and Definitions

Annual Review of Statistics and Its Application

#thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities

Conference on Computer Supported Cooperative Work

The Sisyphean Cycle of Technology Panics

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

How social learning amplifies moral outrage expression in online social networks

Algorithmic precarity in cultural work


Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings


Code for fair classification (SVM) and dimensionality reduction (PCA)

Convex Formulations for Fair Principal Component Analysis

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms

Distributionally Robust Fair Principal Components via Geodesic Descents


source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"

LoRA: Low-Rank Adaptation of Large Language Models

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number


Colour transfer algorithms for grading the colours of an image

Robust Registration of Gaussian Mixtures for Colour Transfer

Patch based Colour Transfer using SIFT Flow

Iterative Nadaraya-Watson Distribution Transfer for Colour Grading


This repository contains all new resources that were created for the NAACL-2018 paper "Inducing a Lexicon of Abusive Words -- A Feature-Based Approach" by Michael Wiegand, Josef Ruppenhofer, Anna Schmidt and Clayton Greenberg.

Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection

LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness

North American Chapter of the Association for Computational Linguistics

Learning Representations for Detecting Abusive Language

minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices

International Conference on Data Science and Advanced Analytics


Event tracking on websites

Learning Efficient Representations of Mouse Movements to Predict User Attention

My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking

Ktisis at Cyprus University of Technology (Cyprus University of Technology)

A Price-per-attention Auction Scheme Using Mouse Cursor Information

ACM transactions on office information systems

The Attentive Cursor Dataset


Python package for the computation of the Bipartite Configuration Model.

Exact maximum-likelihood method to detect patterns in real networks

Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections

The different structure of economic ecosystems at the scales of companies and countries

Inferring comparative advantage via entropy maximization


Desktop application for colouring/shading sequence alignments

Skd3 (human ClpB) is a potent mitochondrial protein disaggregase that is inactivated by 3-methylglutaconic aciduria-linked mutations

Dosage differences in 12-OXOPHYTODIENOATE REDUCTASE genes modulate wheat root growth

Somatostatin-type and allatostatin-C–type neuropeptides are paralogous and have opposing myoregulatory roles in an echinoderm

Dnj1 Promotes Virulence in Cryptococcus neoformans by Maintaining Robust Endoplasmic Reticulum Homeostasis Under Temperature Stress

Structural basis of lipid head group entry to the Kennedy pathway by FLVCR1

bioRxiv : the preprint server for biology

Functional characterization of Cinnamate 4-hydroxylase gene family in soybean (Glycine max)

Soybean AROGENATE DEHYDRATASES (GmADTs): involvement in the cytosolic isoflavonoid metabolon or trans-organelle continuity?


Venmo trasaction dataset for data analysis/visualization/anything

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

Allocating Stimulus Checks in Times of Crisis

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms


R functions and datasets related to the mapping of text to the United Nations 17 Sustainable Development Goals (SDGs).


A web application for playing 20 Questions to crowdsource common sense.

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

Editing Common Sense in Transformers

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions

20Q: Overlap-Free World Knowledge Benchmark for Language Models

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)


pKAI: a fast and interpretable deep learning approach to accurate electrostatics-driven pKa prediction

PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions

Journal of chemical theory and computation

PKAD: a database of experimentally measured pKa values of ionizable groups in proteins

Database : the journal of biological databases and curation

PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pK(a) Calculations

Journal of chemical information and modeling

A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pKa Predictions in Proteins


Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Topological Experience Replay


Unofficail pytorch implementation of BigBiGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Revisiting Self-Supervised Visual Representation Learning

Large Scale Adversarial Representation Learning


Do Neural Language Representations Learn Physical Commonsense?

Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings


(Intended) Nationally Determined Contributions as provided in the UNFCCC registries, containing only the main document and using the English version if multiple are available.


MARNNs Can Learn Generalized Dyck Languages

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Context-Free Transductions with Neural Stacks

Can RNNs learn Recursive Nested Subject-Verb Agreements?

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis

Reservoir Stack Machines


轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）

MobileNetV2: Inverted Residuals and Linear Bottlenecks

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design


Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems

Scaling Graph-based Deep Learning models to larger networks


2.86% and 15.85% on CIFAR-10 and CIFAR-100

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

Between-class Learning for Image Classification

Shakedrop Regularization for Deep Residual Learning

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition


GitHub Cloner & Compiler

Augmenting Decompiler Output with Learned Variable Names and Types

Source Code Foundation Models are Transferable Binary Analysis Knowledge
  Bases

Pre-Training Representations of Binary Code Using Contrastive Learning

Revisiting Deep Learning for Variable Type Recovery


Workflow for Building  Microsynteny Networks

Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes

Whole-genome microsynteny-based phylogeny of angiosperms

Dissecting the Genome-Wide Evolution and Function of R2R3-MYB Transcription Factor Family in Rosa chinensis

Phylogenomic analysis provides insights into MADS-box and TCP gene diversification and floral development of the Asteraceae, supported by de novo genome and transcriptome sequences from dandelion (Taraxacum officinale)

The Genome of Plasmodium gonderi: Insights into the Evolution of Human Malaria Parasites.

Transposable elements in Rosaceae: insights into genome evolution, expression dynamics, and syntenic gene regulation


Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Leveraging Adversarial Examples to Quantify Membership Information Leakage

Membership Inference Attacks via Adversarial Examples


Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Concept-based model explanations for electronic health records

Proceedings of the Conference on Health, Inference, and Learning

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Journal of the American Medical Informatics Association : JAMIA

Boosting the interpretability of clinical risk scores with intervention predictions


Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph Embedded Pose Clustering for Anomaly Detection

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Mimetics: Towards Understanding Human Actions Out of Context

Normalizing Flows for Human Pose Anomaly Detection

GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition

IEEE International Conference on Computer Vision

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning


List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

Prohibited Item Detection in Airport X-Ray Security Images via Attention Mechanism Based CNN

PATTERN RECOGNITION AND COMPUTER VISION, PT II

Semantic Segmentation for Prohibited Items in Baggage Inspection

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

Threat Objects Detection in X-ray Images Using an Active Vision Approach

A GAN-Based Image Generation Method for X-Ray Security Prohibited Items

PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT I

Handgun Detection in Single-Spectrum Multiple X-ray Views Based on 3D Object Recognition

Deep Learning-Based X-Ray Baggage Hazardous Object Detection – An FPGA Implementation

Graph clustering and variational image segmentation for automated firearm detection in X-ray images

Application of Machine Learning Methods for Material Classification with Multi-energy X-Ray Transmission Images

Modified Adaptive Implicit Shape Model for Object Detection

NEURAL INFORMATION PROCESSING, ICONIP 2019, PT V


Plastid Genome Annotator

Complete plastome sequence of an endangered species, Calocedrus rupestris (Cupressaceae)

Comparative and Evolutionary Analyses on the Complete Plastomes of Five Kalanchoe Horticultural Plants

Characterization of the complete plastome of Aster pekinensis (Asteraceae), a perennial herb

Comparative and Phylogenetic Analysis of Complete Plastomes among Aristidoideae Species (Poaceae)

Characterization of the complete chloroplast genome of Suaeda salsa (Amaranthaceae/Chenopodiaceae), an annual succulent halophyte

Characterization and phylogenetic analysis of the complete plastome of Alopecurus japonicus (Gramineae), an annual weed

Complete Chloroplast Genome of Hypericum perforatum and Dynamic Evolution in Hypericum (Hypericaceae)

International journal of molecular sciences

Complete chloroplast genome sequence of Oxytropis glabra (Leguminosae)

Characterization of the complete chloroplast genome of Salvia hispanica (Lamiaceae)

The Complete Chloroplast Genomes of Bulbophyllum (Orchidaceae) Species: Insight into Genome Structure Divergence and Phylogenetic Analysis


A suite of routines for constructing and fitting linear transit timing variation models.

TESS hunt for young and maturing exoplanets (THYME). IV. Three small planets orbiting a 120 Myr old star in the pisces-eridanus stream

Prospects for TTV Detection and Dynamical Constraints with TESS

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906

Monthly notices of the Royal Astronomical Society

TOI-969: a late-K dwarf with a hot mini-Neptune in the desert and an eccentric cold Jupiter


Code for paper https://arxiv.org/abs/2102.13186

Towards a Unified Framework for Fair and Stable Graph Representation Learning

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Counterfactual Learning on Graphs: A Survey

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

Graph Fairness Learning under Distribution Shifts

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification


NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

Proceedings of the 30th ACM International Conference on Multimedia

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations

Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks


Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

Person Re-identification Method Based on Color Attack and Joint Defence

Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

A Person Re-identification Data Augmentation Method with Adversarial Defense Effect

Exploring Color Invariance through Image-Level Ensemble Learning


Train a StyleGAN2 model on Colaboratory to generate Steam banners.

GANSpace: Discovering Interpretable GAN Controls

Closed-Form Factorization of Latent Semantics in GANs

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space


Official implementation of SPTS: Single-Point Text Spotting (ACM MM 2022 Oral)

SPTS: Single-Point Text Spotting

SPTS v2: Single-Point Scene Text Spotting


Algorithms to recover input data from their gradient signal through a neural network

Inverting Gradients -- How easy is it to break privacy in federated learning?

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data

Separation of Powers in Federated Learning (Poster Paper)

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

Theoretically Principled Federated Learning for Balancing Privacy and Utility

Dropout is NOT All You Need to Prevent Gradient Leakage

Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks


Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Light Schrödinger Bridge


Code and Swedish pre-trained models for BERT

Attention Is All You Need

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

Building a Swedish Question-Answering Model

Passive and Active Network Measurement Conference


Official PyTorch repository for Hypercomplex Image-to-Image Transaltion

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

Quaternion Generative Adversarial Networks

A Quaternion-Valued Variational Autoencoder

Hypercomplex Image- to- Image Translation

IEEE International Joint Conference on Neural Network


The Combined Anomalous Object Segmentation (CAOS) Benchmark

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

A Benchmark for Anomaly Segmentation.

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

Towards Robustness of Neural Networks


Toolbox for parameter estimation of the Standard Model of diffusion in white matter

NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain

White matter characterization with diffusional kurtosis imaging

Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation

Multi-compartment microscopic diffusion imaging

Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue

Mapping orientational and microstructural metrics of neuronal integrity with in vivo diffusion MRI

TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times

Disentangling micro from mesostructure by diffusion MRI: A Bayesian approach

Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI

Fiber ball imaging


Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models


Deep Residual Learning for Image Recognition

Rich feature hierarchies for accurate object detection and semantic segmentation

Identity Mappings in Deep Residual Networks

An overview of gradient descent optimization algorithms

Вестник компьютерных и информационных технологий


Versatile FASTA/FASTQ demultiplexer.

An Economical and Flexible Dual Barcoding, Two-Step PCR Approach for Highly Multiplexed Amplicon Sequencing

Differential Modulation of the European Sea Bass Gut Microbiota by Distinct Insect Meals

Hydrochemical and Seasonally Conditioned Changes of Microbial Communities in the Tufa-Forming Freshwater Network Ecosystem

Soil warming increases the number of growing bacterial taxa but not their growth rates

Microclimate shapes the phylosymbiosis of rodent gut microbiota in Jordan’s Great Rift Valley


A collection of datasets originally distributed in R packages

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison

Beyond Impute-Then-Regress: Adapting Prediction to Missing Data


Training a MNIST classifier, and use it to compute inception score (ICP)

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security


Tools for working with second gen assemblies, fasta sequences, etc

Genome assembly and geospatial phylogenomics of the bed bug Cimex lectularius

Quality control of next-generation sequencing data without a reference

Genomic analysis of Sparus aurata reveals the evolutionary dynamics of sex-biased genes in a sequential hermaphrodite fish

Shared transcriptional control and disparate gain and loss of aphid parasitism genes

Zenodo (CERN European Organization for Nuclear Research)

The Grayling Genome Reveals Selection on Gene Expression Regulation after Whole-Genome Duplication

Analysis of the genome of the New Zealand giant collembolan (Holacanthella duospinosa) sheds light on hexapod evolution

De Novo Transcriptome Analysis of the Common New Zealand Stick Insect Clitarchus hookeri (Phasmatodea) Reveals Genes Involved in Olfaction, Digestion and Sexual Reproduction

The Genome of the Great Gerbil Reveals Species-Specific Duplication of an MHCII Gene

Author Correction: Herbivorous turtle ants obtain essential nutrients from a conserved nitrogen-recycling gut microbiome

The genomic basis of host and vector specificity in non-pathogenic trypanosomatids


The AUTOmated Photometry Of Transients (AutoPhOT) is a novel automated pipeline that is designed for rapid, publication-quality photometry of transients.

The Automated Photometry Of Transients (AutoPhOT) pipeline

A shock flash breaking out of a dusty red supergiant

Photometric and spectroscopic evolution of the interacting transient at 2016jbu(Gaia16cfr)

A long life of excess: The interacting transient SN 2017hcc

SN 2018bsz: significant dust formation in a nearby superluminous supernova

Optical polarization and spectral properties of the hydrogen-poor superluminous supernovae SN 2021bnw and SN 2021fpl

Photometric study of the late-time near-infrared plateau in Type Ia supernovae

Rapidly Evolving Transients in Archival ZTF Public Alerts


Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation

FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Visualizing Missing Surfaces In Colonoscopy Videos Using Shared Latent Space Representations

International Symposium on Biomedical Imaging


Causal Effect Inference with Deep Latent-Variable Models

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

Transfer Learning for Causal Sentence Detection

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding


Parameter sets for the WOFOST crop simulation model implemented in YAML

Forecasting future crop suitability with microclimate data

Modelling Gas Exchange and Biomass Production in West
African Sahelian and Sudanian Ecological Zones

Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones


CLIPfa: Connecting Farsi Text and Images

Learning Transferable Visual Models From Natural Language Supervision

SRCB at SemEval-2023 Task 1: Prompt Based and Cross-Modal Retrieval Enhanced Visual Word Sense Disambiguation

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation


This repo supports various cross-lingual transfer learning & multilingual NLP models.

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Are All Languages Created Equal in Multilingual BERT?

Do Explicit Alignments Robustly Improve Multilingual Encoders?

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Zero-shot Cross-lingual Transfer is Under-specified Optimization

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16


Improving Indonesian text classification using multilingual language model

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Indonesian Text Classification Using Multilingual Language Model


Official implementation of Masked-Attention Transformers for Surgical Instrument Segmentation

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Pixel-Wise Recognition for Holistic Surgical Scene Understanding


Benchmarking of Session-based Recommendation Approaches

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Inter-Session Modeling for Session-Based Recommendation

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce


Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

A Lie Group Approach to Riemannian Batch Normalization

Riemannian Multinomial Logistics Regression for SPD Neural Networks


Learning from Hypervectors: A Survey on Hypervector Encoding

Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?

Brain-inspired Cognition in Next-generation Racetrack Memories


My collection of Python tools!

The Design of the Fifth Answer Set Programming Competition

A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming

Theory and Practice of Logic Programming

Preliminary Report on WASP 2.0

Inconsistency Proofs for ASP: The ASP-DRUPE Format

A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming

Static Analysis and Stochastic Search for Reachability Problem

Evaluating Datalog Tools for Meta-reasoning over OWL 2 QL


A genome visualization python package for comparative genomics

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

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

Functional prediction of proteins from the human gut archaeome

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


This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

Two-sample Test with Kernel Projected Wasserstein Distance

E-Valuating Classifier Two-Sample Tests

A Learning Based Hypothesis Test for Harmful Covariate Shift

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

The Representation Jensen-Shannon Divergence


Kepler Science Data Processing Pipeline

Planetary Candidates Observed by Kepler. VIII. A Fully Automated Catalog with Measured Completeness and Reliability Based on Data Release 25

The Astrophysical journal. Supplement series

Kepler Data Validation I—Architecture, Diagnostic Tests, and Data Products for Vetting Transiting Planet Candidates

Publications of the Astronomical Society of the Pacific

Kepler Data Validation II -- Transit Model Fitting and Multiple-Planet
  Search

Zodiacal Exoplanets in Time (ZEIT). VI. A Three-planet System in the Hyades Cluster Including an Earth-sized Planet

Discovery and Vetting of Exoplanets. I. Benchmarking K2 Vetting Tools

Measuring Transit Signal Recovery in the Kepler Pipeline. IV. Completeness of the DR25 Planet Candidate Catalog

Re-evaluating Small Long-period Confirmed Planets from Kepler

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


code for generating metrics of forest vertical structure from airborne LiDAR data


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

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization

DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

Probabilistic Back-ends for Online Speaker Recognition and Clustering


Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Media Forensics and DeepFakes: an overview

A Survey of Machine Learning Techniques in Adversarial Image Forensics

Adversarial Attack on Deep Learning-Based Splice Localization


Mixed Kalman-Fuzzy Sliding Mode State Observer in Disturbance Rejection Control of a Vibrating Smart Structure Atta Oveisi*1, Tamara Nestorović1 1Ruhr-Universität Bochum, Mechanik adaptiver Systeme, Institut Computational Engineering, D-44801, Bochum, Germany.  E-Mail: atta.oveisi@rub.de  ABSTRACT In the controllers that are synthesized on a nominal model of the nonlinear plant, the parametric matched uncertainties and nonlinear/unmodeled dynamics of high order nature can significantly affect the performance of the closed-loop system. In this note, owing to the robust character of the sliding mode observer against modeling perturbations, measurement noise, and unknown disturbances and due to the non-fragile behavior of the Kalman filter against process noise, a mixed Kalman sliding mode state-observer is proposed and later enhanced by the addition of an intelligent fuzzy agent. In light of the proposed technique, the chattering phenomena and the conservative boundary neighboring layer of the high gain sliding mode observer are addressed. Then, a robust active disturbance rejection controller is developed by using static feedback of the estimated states using direct Lyapunov quadratic stability Theorem. The reduced order plant for control design purposes is subjected to some simulated square-integrable disturbances and is assumed to have mismatch uncertainties in system matrices. Finally, the robust performance of the closed-loop scheme with respect to the mentioned perturbation signals and modeling imperfections is tested by implementing the control system on a mechanical vibrating smart cantilever beam. Keywords: Fuzzy system; Nonlinear control; Active disturbance rejection; Kalman Filter; Vibration suppression.

Nonlinear system identification in structural dynamics: 10 more years of progress

Mechanical Systems and Signal Processing

Robust observer-based adaptive fuzzy sliding mode controller

From Nonlinear to Fuzzy Approaches in Trajectory Tracking Control of Wheeled Mobile Robots

A new adaptive fuzzy sliding mode observer for a class of MIMO nonlinear systems

Multivariable predictive control for vibrating structures: An application

Active vibration control of an arbitrary thick smart cylindrical panel with optimally placed piezoelectric sensor/actuator pairs

International Journal of Mechanics and Materials in Design

Improving active control of fan noise with automatic spectral reshaping for reference signal

Robust reliable control in vibration suppression of sandwich circular plates

A new non-fragile H ∞ proportional—integral filtered-error adaptive observer for a class of non-linear systems and its application to synchronous generators

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Transient response of an active nonlinear sandwich piezolaminated plate

Communications in nonlinear science & numerical simulation


PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent

Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Analyzing Federated Learning through an Adversarial Lens

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients


Domain Adaptation of Neural Machine Translation by Lexicon Induction

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Twist Decoding: Diverse Generators Guide Each Other


This is the tools for Spherical U-Net on spherical cortical surfaces

A Deep-Discrete Learning Framework for Spherical Surface Registration

SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration


MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!


SpikeGLX recording system GUI [Neuropixels NI]

A synaptic threshold mechanism for computing escape decisions

A Circuit for Integration of Head- and Visual-Motion Signals in Layer 6 of Mouse Primary Visual Cortex

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

Motor cortical output for skilled forelimb movement is selectively distributed across projection neuron classes

Flexible inhibitory control of visually evoked defensive behavior by the ventral lateral geniculate nucleus

Multisensory coding of angular head velocity in the retrosplenial cortex

CMU Array: A 3D nanoprinted, fully customizable high-density microelectrode array platform

Complexity of frequency receptive fields predicts tonotopic variability across species

Sleep/wake changes in perturbational complexity in rats and mice


Repository for the CODAH dataset

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense


Rigorous free fermion entanglement renormalization from wavelet theory

Rigorous Free-Fermion Entanglement Renormalization from Wavelet Theory

Quantum Circuit Approximations and Entanglement Renormalization for the Dirac Field in 1+1 Dimensions

Bosonic entanglement renormalization circuits from wavelet theory


Fast Doyle-Fuller-Newman (DFN) Electrochemical-Thermal Battery Model Simulator

An asymptotic derivation of a single particle model with electrolyte

A Suite of Reduced-Order Models of a Single-Layer Lithium-ion Pouch Cell

Asymptotic Reduction of a Lithium-ion Pouch Cell Model

Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics

Modelling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions

MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling


Domain Adaptation for Time Series Forecasting via Attention Sharing

Context-aware Domain Adaptation for Time Series Anomaly Detection


Evaluating the Mamba architecture on the Othello game

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT


A curated list of text-based image manipulation methods.

Language-based colorization of scene sketches

Text-Guided Image Inpainting

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

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

Paired-D GAN for Semantic Image Synthesis

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


PLATYPOS - PLAneTarY PhOtoevaporation Simulator

X-ray irradiation and evaporation of the four young planets around V1298 Tau

Monthly Notices of the Royal Astronomical Society

The influence of host star activity evolution on the population of super-Earths and mini-Neptunes

Estimating photoevaporative mass loss of exoplanets with PLATYPOS

Three young planets around the K-dwarf K2-198: high-energy environment, evaporation history, and expected future


Public code developed during my MSc study at University of Bologna

A Formalization of the Process Algebra CCS in HOL4

Further Formalization of the Process Algebra CCS in HOL4

Formalized Lambek Calculus in Higher Order Logic (HOL4)

A Formalization of Unique Solutions of Equations in Process Algebra


Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

Variational Sequential Optimal Experimental Design using Reinforcement Learning


[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks


SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Assessment of community efforts to advance network-based prediction of protein–protein interactions

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning


"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

Toward Convolutional Blind Denoising of Real Photographs

Unprocessing Images for Learned Raw Denoising

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling


A Novel Listwise Collaborative Ranking Algorithm published at ICML'18

SQL-Rank: A Listwise Approach to Collaborative Ranking

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

Advances in Collaborative Filtering and Ranking

A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems


Robust Multiple Kernel K-means using L21-norm

Low-rank Kernel Learning for Graph-based Clustering

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Twin Learning for Similarity and Clustering: A Unified Kernel Approach

Unified Spectral Clustering with Optimal Graph

Clustering with Similarity Preserving

Similarity Learning via Kernel Preserving Embedding

Discriminative Multiple Kernel Concept Factorization for Data Representation


Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Harnessing Large Language Models as Post-hoc Correctors

Bridging Local Details and Global Context in Text-Attributed Graphs

LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework


Masked Ascon Software Implementations

Protecting against Statistical Ineffective Fault Attacks

IACR Transactions on Cryptographic Hardware and Embedded Systems

Second-Order SCA Security with almost no Fresh Randomness

Threshold Implementations in Software: Micro-architectural Leakages in Algorithms


#66DaysOfData challenge in Financial Machine Learning and NLP

Sequence to Sequence Learning with Neural Networks

A Neural Algorithm of Artistic Style

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Quasi-Recurrent Neural Networks


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


Zero-Shot Cross-Lingual Semantic Parsing (Sherborne & Lapata, ACL 2022)

Zero-Shot Cross-lingual Semantic Parsing

Bootstrapping a Crosslingual Semantic Parser

Extrinsic Evaluation of Machine Translation Metrics

On Evaluating Multilingual Compositional Generalization with Translated Datasets


Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation
  Strategy

Expected Coordinate Improvement for High-Dimensional Bayesian
  Optimization


Repo for my Master Thesis at ULiège in 2019 (Machine learning under resource constraints)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

A Closer Look at Structured Pruning for Neural Network Compression


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion

U2Fusion: A Unified Unsupervised Image Fusion Network

IEEE transactions on pattern analysis and machine intelligence

FusionDN: A Unified Densely Connected Network for Image Fusion

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

SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

Infrared and Visible Image Fusion with Hybrid Image Filtering

Advanced Driving Assistance Based on the Fusion of Infrared and Visible Images

Cross Attention-guided Dense Network for Images Fusion

MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion


VectorDefense: Vectorization as a Defense to Adversarial Examples --->

Towards Deep Learning Models Resistant to Adversarial Attacks

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium


XVERSE-7B: A multilingual large language model developed by XVERSE Technology Inc.

Measuring Massive Multitask Language Understanding

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models


The COVID-19 Real World Worry Datasets

COVID-19 open source data sets: a comprehensive survey

Measuring Emotions in the COVID-19 Real World Worry Dataset

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

Open Data Resources for Fighting COVID-19


Mock Lenses in Time

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression

Monthly notices of the Royal Astronomical Society

Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

Simulating time-varying strong lenses

Time delay estimation in unresolved lensed quasars

Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong
  Galaxy-Galaxy Lenses with Convolutional Neural Networks


Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)

Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets

Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures

DAOC: Stable Clustering of Large Networks


Flexible local Fourier analysis library.

Automated Local Fourier Analysis (aLFA)

Optimizing Geometric Multigrid Methods with Evolutionary Computation


compute bolometric corrections and synthetic colours for input values of stellar parameters

On the use of Gaia magnitudes and new tables of bolometric corrections

Monthly Notices of the Royal Astronomical Society: Letters

Synthetic Stellar Photometry - II. Testing the bolometric flux scale and tables of bolometric corrections for the Hipparcos/Tycho, Pan-STARRS1, SkyMapper, and JWST systems

The GALAH survey: effective temperature calibration from the InfraRed Flux Method in the Gaia system

The all-sky PLATO input catalogue

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

Fundamental stellar parameters of benchmark stars from CHARA interferometry

Precision angular diameters for 16 southern stars with VLTI/PIONIER

Characterization of 92 southern TESS candidate planet hosts and a new photometric [Fe/H] relation for cool dwarfs

Analysis of eclipsing binaries in multiple stellar systems: the case of V1200 Centauri

Titans metal-poor reference stars II. Red giants and CEMP stars


The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

ActMAD: Activation Matching to Align Distributions for Test-Time-Training

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


On the Inference Calibration of Neural Machine Translation

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


PyTorch Lightning Implementations of Recent Satellite Image Classification !

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Remote Sensing Image Scene Classification: Benchmark and State of the Art

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

CoAtNet: Marrying Convolution and Attention for All Data Sizes


Vector Quantized Autoregressive Predictive Coding (VQ-APC)

An Unsupervised Autoregressive Model for Speech Representation Learning

Vector-Quantized Autoregressive Predictive Coding

DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch


multi-channel target speech extraction with channel decorrelation and target speaker adaptation

Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam

Multi-channel target speech extraction with channel decorrelation and target speaker adaptation

Improving Channel Decorrelation for Multi-Channel Target Speech Extraction


A method collection for top-k recommendation

Neural Collaborative Filtering

Collaborative Deep Learning for Recommender Systems

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

Personalized Video Recommendation Using Rich Contents from Videos


Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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

Improved Few-Shot Visual Classification

Improving Few-Shot Visual Classification with Unlabelled Examples

On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers


Testing the consistency of binary classification performance scores reported in papers

mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning

Testing the Consistency of Performance Scores Reported for Binary Classification Problems

Enumerating the k-fold configurations in multi-class classification problems


Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

Reinforcement learning on graphs: A survey

Transfer in Deep Reinforcement Learning using Knowledge Graphs


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


The public repository about our joint FINN research project

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Weight Uncertainty in Neural Networks

Fourier Neural Operator for Parametric Partial Differential Equations

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

Augmenting physical models with deep networks for complex dynamics forecasting

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks

Composing Partial Differential Equations with Physics-Aware Neural Networks

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction


a large-scale high-quality medical dialogue dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

Medical Dialogue Response Generation with Pivotal Information Recalling

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue
  Generation

Reasoning Like a Doctor: Improving Medical Dialogue Systems via
  Diagnostic Reasoning Process Alignment


Modular framework for property inference attacks on deep neural networks

Leakage of Dataset Properties in Multi-Party Machine Learning

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Formalizing Distribution Inference Risks


[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Representation Learning by Predicting Image Rotations

Rethinking the Value of Labels for Improving Class-Imbalanced Learning


Bangla-Bert is a pretrained bert model for Bengali language

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

A benchmark study of machine learning models for online fake news detection

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media

Computer systems science and engineering

A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models

BLP-2023 Task 2: Sentiment Analysis

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks

Bengali Fake Reviews: A Benchmark Dataset and Detection System


A sage module to create (convolved) conformal block table.

Bootstrapping the half-BPS line defect

Necessary Condition for Emergent Symmetry from the Conformal Bootstrap.

Bootstrapping the minimal 3D SCFT

Bootstrap bound for conformal multi-flavor QCD on lattice

autoboot: a generator of bootstrap equations with global symmetry

3d N=2
    ��=2
 minimal SCFTs from wrapped M5-branes

Bootstrap experiments on higher dimensional CFTs

International Journal of Modern Physics A

Bootstrap bound on extremal Reissner-Nordström black hole in AdS

Topologically twisted renormalization group flow and its holographic dual

An Automated Generation of Bootstrap Equations for Numerical Study of Critical Phenomena


AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Can contrastive learning avoid shortcut solutions?

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future


Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

Hebbian semi-supervised learning in a sample efficiency setting

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

Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks

Deep Features for CBIR with Scarce Data using Hebbian Learning

Training Convolutional Neural Networks With Hebbian Principal Component Analysis


AlphaNet Improved Training of Supernet with Alpha-Divergence

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

AlphaNet: Improved Training of Supernets with Alpha-Divergence

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators


The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Towards Understanding and Evaluating Structural Node Embeddings


Recursive Diffeomorphism-Based Regression for Shape Functions

Multiresolution mode decomposition for adaptive time series analysis

A Fast Algorithm for Multiresolution Mode Decomposition


Indonesian part-of-speech (POS) tagging

Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging

Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models

No Budget? Don't Flex! Cost Consideration when Planning to Adopt NLP for Your Business.

Costs to Consider in Adopting NLP for Your Business


Self-attentive Associative Memory & SAM-based Two-Memory Model

Self-Attentive Associative Memory

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking


Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces


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


SAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source computational environment for the development of machine-learning models for the prediction of ligand-binding affinity. We developed SAnDReS using Python programming language, and SciPy, NumPy, scikit-learn, and Matplotlib libraries as a computational

Molegro Virtual Docker for Docking

Methods in molecular biology (Clifton, N.J.)

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity


Source code for the DeepViral paper

A generalized approach to predicting protein-protein interactions between virus and host

DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes

DeepViral: infectious disease phenotypes improve prediction of novel virus–host interactions

Prediction of novel virus-host interactions by integrating clinical symptoms and protein sequences


[CVPR 2021] CDFI: Compression-Driven Network Design for Frame Interpolation

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Sparsity-guided Network Design for Frame Interpolation


Machine Translation (MT) Preparation Scripts

Fine-tuning Large Language Models for Adaptive Machine Translation

Domain-Specific Text Generation for Machine Translation

Language Modelling Approaches to Adaptive Machine Translation


communication-efficient distributed coordinate ascent

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Adding vs. Averaging in Distributed Primal-Dual Optimization

Screening Rules for Convex Problems

DUAL-LOCO: Distributing Statistical Estimation Using Random Projections

LOCO: Distributing Ridge Regression with Random Projections

SCOPE: Scalable Composite Optimization for Learning on Spark


[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Improving Adversarial Robustness via Promoting Ensemble Diversity

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 12

Adversarial attacks for mixtures of classifiers


Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

On the Art and Science of Machine Learning Explanations

Proposed Guidelines for the Responsible Use of Explainable Machine Learning

Safety design concepts for statistical machine learning components toward accordance with functional safety standards


Library to perform image and video self-supervised learning.

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning

COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers

Similarity contrastive estimation for image and video soft contrastive self-supervised learning


Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)

Efficiently Modeling Long Sequences with Structured State Spaces

Resurrecting Recurrent Neural Networks for Long Sequences

Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues

Gated recurrent neural networks discover attention


MindSpore implementations of deep reinforcement learning algorithms and environments

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Soft Actor-Critic Algorithms and Applications

Hindsight Experience Replay

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

Diversity is All You Need: Learning Skills without a Reward Function


A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R package with an API around it.

Benchmarking in Optimization: Best Practice and Open Issues

An ant colony optimization algorithm for job shop scheduling problem

A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problems

Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling

Solving the Job Shop Scheduling Problem with Ant Colony Optimization


Asynchronous Methods for Deep Reinforcement Learning

Effective Approaches to Attention-based Neural Machine Translation

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback


What goes up must come down again.


Collection of layers that can perform arithmetic operations

Neural Arithmetic Logic Units

iNALU: Improved Neural Arithmetic Logic Unit

Neural Power Units


A public repository for the code L-PICOLA

COLA with scale-dependent growth: applications to screened modified gravity models

Journal of Cosmology and Astroparticle Physics

COLA with massive neutrinos

Euclid: The search for primordial features

The large-scale structure from non-Gaussian primordial perturbations

Monthly Notices of the Royal Astronomical Society

On the primordial origin of the smoothing excess in the Planck temperature power spectrum in light of LSS data


Clone of "Digital Representations of Tree Species Range Maps from "Atlas of United States Trees" by Elbert L. Little, Jr. (and other publications)"

High exposure of global tree diversity to human pressure

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

Geographic and Ecological Dimensions of Host Plant-Associated Genetic Differentiation and Speciation in the Rhagoletis cingulata (Diptera: Tephritidae) Sibling Species Group

The cold-drought tolerance trade-off in temperate woody plants constrains range size, but not range filling


Use R to get data from the Environmental Protection Agency API


Exoplanet spectroscopy and photometry with the Twinkle space telescope

ARES. V. No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b

Stellar impact on disequilibrium chemistry and observed spectra of hot Jupiter atmospheres

Remote sensing of exoplanetary atmospheres with ground-based high-resolution near-infrared spectroscopy

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

MarcoPolo: a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering

Age- and Microbiota-Dependent Cell Stemness Plasticity Revealed by Cattle Cell Landscape


Multi-level visualization of genomic statistical variables on rectangular chromosomes

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

Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants

The chromosome-scale genome of the raccoon dog: Insights into its evolutionary characteristics

Chromosome-Scale Genome of Masked Palm Civet (Paguma larvata) Shows Genomic Signatures of Its Biological Characteristics and Evolution

Novel Heredity Basis of the Four-Horn Phenotype in Sheep Using Genome-Wide Sequence Data

Animals : an open access journal from MDPI

Gonadal transcriptome sequencing reveals sexual dimorphism in expression profiling of sex-related genes in Asian arowana (Scleropages formosus)


Identifying the Human Values behind Arguments

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

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments

Clickbait Spoiling via Question Answering and Passage Retrieval

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

Small-Text: Active Learning for Text Classification in Python


ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering


Library containing PyTorch implementations of various adversarial attacks and resources

Towards Evaluating the Robustness of Neural Networks

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

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

Trust Region Based Adversarial Attack on Neural Networks

Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Stochastic sparse adversarial attacks

PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack


Equilibrium Expectation for ERGM parameter estimation for large networks

Exponential random graph model parameter estimation for very large directed networks

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data

Patent citation network analysis: A perspective from descriptive statistics and ERGMs

Auxiliary Parameter MCMC for Exponential Random Graph Models

A Simple Algorithm for Scalable Monte Carlo Inference