GPS plugin for NetKet (www.netket.org), introducing new models, optimizers and Fermionic functionality.

A framework for efficient ab initio electronic structure with Gaussian Process States

Impact of conditional modelling for a universal autoregressive quantum state


[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher


A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images

COVID-19 open source data sets: a comprehensive survey

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19


PyTorch implementation of Soft Actor-Critic(SAC).

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

Prioritized Experience Replay

Soft Actor-Critic Algorithms and Applications

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Boosting Continuous Control with Consistency Policy


BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model [ACL-BioNLP 2022]

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

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


Revisiting Transferable Adversarial Images (arXiv)

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights

Defending Against Transfer Attacks From Public Models


PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

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

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters


Comostional question answering

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

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks


A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

LIMO: Latent Inceptionism for Targeted Molecule Generation

Reinforcement Learning of Molecule Optimization with Bayesian Neural Networks

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


An R package to calculate carbon footprints from air travel based on IATA airport codes or latitude and longitude.


Fair Empirical Risk Minimization (FERM)

Empirical Risk Minimization under Fairness Constraints

Fair Bayesian Optimization

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Algorithmic fairness datasets: the story so far

Optimized Score Transformation for Consistent Fair Classification

Wasserstein Robust Classification with Fairness Constraints

Learning from Discriminatory Training Data


Hierarchical annotation - line (phrase), syllable, phoneme annotations of the jingju (Beijing opera) a-cappella singing dataset

Timbre Analysis of Music Audio Signals with Convolutional Neural Networks

Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network


Framework for the specification and analysis of models for human reasoning.

A Quantitative Symbolic Approach to Individual Human Reasoning

The Predictive Power of Spatial Relational Reasoning Models: A New Evaluation Approach


Gene Absence Presence Identification tool.

Gene Loss and Acquisition in Lineages of Pseudomonas aeruginosa Evolving in Cystic Fibrosis Patient Airways

GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences

Gene loss and acquisition in lineages of bacteria evolving in a human host environment

Mycobacterium bovis Strain Ravenel Is Attenuated in Cattle

Prevalence and Genetic Characterization of Methicillin-Resistant Staphylococcus aureus Isolated from Pigs in Japan


C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements.

Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet

SIGCOMM '20: PROCEEDINGS OF THE 2020 ANNUAL CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION ON THE APPLICATIONS, TECHNOLOGIES, ARCHITECTURES, AND PROTOCOLS FOR COMPUTER COMMUNICATION

Cellular Controlled Delay TCP (C2TCP)


Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning

Imitating Graph-Based Planning with Goal-Conditioned Policies


PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)

On the Strong Correlation Between Model Invariance and Generalization

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images


Agroecology Map, Knowledge and Practices, is a technological platform that allows the mapping and exchange of Agroecological experiences (Agroforestry) in order to bring people in order to strengthen or/and create new, collaborative networks that enhance the sharing of real (and sometimes imaginary) experiences https://agroecologymap.org


Graphical-model based estimation and inference for differential privacy

Differentially Private Query Release Through Adaptive Projection

Private Synthetic Data for Multitask Learning and Marginal Queries


Learning a mapping from images to psychological similarity spaces with neural networks.

Rethinking the Inception Architecture for Computer Vision

Generalizing Psychological Similarity Spaces to Unseen Stimuli

Mapping Images to Psychological Similarity Spaces Using Neural Networks

Grounding Psychological Shape Space in Convolutional Neural Networks


This repository contains the code for "How many data points is a prompt worth?"

How Many Data Points is a Prompt Worth?

Are Prompt-based Models Clueless?

Prompting Strategies for Citation Classification

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Python based multi-component SED fitting package

A panchromatic view of infrared quasars: excess star formation and radio emission in the most heavily obscured systems

The demographics of obscured AGN from X-ray spectroscopy guided by multiwavelength information

The star formation properties of the observed and simulated AGN Universe: BAT versus EAGLE

Monthly notices of the Royal Astronomical Society

Obscuration beyond the nucleus: infrared quasars can be buried in extreme compact starbursts


Handy PyTorch implementation of Federated Learning (for your painless research)

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

LEAF: A Benchmark for Federated Settings

Adaptive Federated Optimization

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification


Machine learning experiments for CheckMyBlob

Automatic recognition of ligands in electron density by machine learning


LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020

MonoScene: Monocular 3D Semantic Scene Completion

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


SAASBO: a package for high-dimensional bayesian optimization

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

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

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB


Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.

Overcoming catastrophic forgetting in neural networks

Memory Aware Synapses: Learning what (not) to forget

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization

Greedy Frank-Wolfe Algorithm for Exemplar Selection


Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

From real-world electronic health record data to real-world results using artificial intelligence

Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study (Preprint)


The VeriNet toolkit for verification of neural networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Neural Network Verification with Branch-and-Bound for General Nonlinearities


A PyTorch Implementation of japanese chatbot using BERT and Transformer's decoder

Attention Is All You Need

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

Another Diversity-Promoting Objective Function for Neural Dialogue Generation


PyTorch implementation of some attentions for Deep Learning Researchers.

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Effective Approaches to Attention-based Neural Machine Translation

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

Attention-Based Models for Speech Recognition

Neural Turing Machines


A Bayesian classifier to identify members of the 27 nearest young associations within 150 pc of the Sun

BANYAN. XI. The BANYAN Σ Multivariate Bayesian Algorithm to Identify Members of Young Associations with 150 pc

Search for associations containing young stars (SACY). VIII. An updated census of spectroscopic binary systems exhibiting hints of non-universal multiplicity among their associations

A Young Ultramassive White Dwarf in the AB Doradus Moving Group

Transient Corotating Clumps around Adolescent Low-mass Stars from Four Years of TESS


A Large Semantic Knowledge Graph from Wikipedia Categories and Listings

Information Extraction From Co-Occurring Similar Entities

NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker

Transformer-based Subject Entity Detection in Wikipedia Listings


Single Cell Analysis of Five'Ends

Profiling of transcribed cis-regulatory elements in single cells

SCAFE: a software suite for analysis of transcribed cis-regulatory elements in single cells


Large-eddy simulation code written in CUDA Fortran for simulating atmospheric boundary layer flows


Accessing modified-base data from BAM files.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Chromosome-level, nanopore-only genome and allele-specific DNA methylation of Pallas's cat, Otocolobus manul

Deciphering D4Z4 CpG methylation gradients in fascioscapulohumeral muscular dystrophy using nanopore sequencing

Unraveling the whole genome DNA methylation profile of zebrafish kidney marrow by Oxford Nanopore sequencing


Ultraperformant reimplementation of SICER

epic2 efficiently finds diffuse domains in ChIP-seq data

Genome-wide analysis of the H3K27me3 epigenome and transcriptome in Brassica rapa


A python toolkit for analysing membrane protein-lipid interactions.

Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins

Mass spectrometry captures biased signalling and allosteric modulation of a G-protein-coupled receptor

ProLint: a web-based framework for the automated data analysis and visualization of lipid–protein interactions

The Glycosphingolipid GM3 Modulates Conformational Dynamics of the Glucagon Receptor

Peptidoglycan biosynthesis is driven by lipid transfer along enzyme-substrate affinity gradients

In Silico Identification of Cholesterol Binding Motifs in the Chemokine Receptor CCR3

The energetics and ion coupling of cholesterol transport through Patched1

GPCR Oligomerisation Modulation by Conformational State and Lipid Interactions Revealed by MD Simulations and Markov Models


Sentence Embeddings with BERT & XLNet

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation


MWPToolkit is an open-source framework for math word problem(MWP) solvers.

Template-Based Math Word Problem Solvers with Recursive Neural Networks

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

Math Word Problem Solving by Generating Linguistic Variants of Problem Statements

Can LLMs Solve longer Math Word Problems Better?


Large-scale multi-document summarization dataset and code

Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Leveraging Locality in Abstractive Text Summarization

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

A Spectral Method for Unsupervised Multi-Document Summarization

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

PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization

Multi-doc Hybrid Summarization via Salient Representation Learning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization


Genome-wide de novo genotyping with 2bRAD

Cleaner fish escape salmon farms and hybridize with local wrasse populations

Novel genomic resources for shelled pteropods: a draft genome and target capture probes for Limacina bulimoides, tested for cross-species relevance

Combining an Ecological Experiment and a Genome Scan Show Idiosyncratic Responses to Salinity Stress in Local Populations of a Seaweed

Gene expression associated with disease resistance and long-term growth in a reef-building coral

Genomic signatures of host‐associated divergence and adaptation in a coral‐eating snail, Coralliophila violacea (Kiener, 1836)

Epigenetic and Genetic Population Structure is Coupled in a Marine Invertebrate

The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia

2b-RAD Genotyping of the Seagrass Cymodocea nodosa Along a Latitudinal Cline Identifies Candidate Genes for Environmental Adaptation

Seascape genomics identify adaptive barriers correlated to tidal amplitude in the shore crabCarcinus maenas

Testing the ‘caves as islands’ model in two cave-obligate invertebrates with a genomic approach


Random scripts, mostly for dealing with RADseq data and DNA sequence alignments

Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

Taxonomic Uncertainty and the Anomaly Zone: Phylogenomics Disentangle a Rapid Radiation to Resolve Contentious Species (Gila robusta Complex) in the Colorado River

Age structuring and spatial heterogeneity in prion protein gene (PRNP) polymorphism in white-tailed deer

FGTpartitioner: A rapid method for parsimonious delimitation of ancestry breakpoints in large genome-wide SNP datasets


A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models


A fast safe reinforcement learning library in PyTorch

Datasets and Benchmarks for Offline Safe Reinforcement Learning

A Survey of Constraint Formulations in Safe Reinforcement Learning

Off-Policy Primal-Dual Safe Reinforcement Learning

Feasibility Consistent Representation Learning for Safe Reinforcement Learning


ASVspoof 2021 Baseline Systems

ADD 2022: the First Audio Deep Synthesis Detection Challenge

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Investigating self-supervised front ends for speech spoofing countermeasures

Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing

ADD 2023: the Second Audio Deepfake Detection Challenge

Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders

Audio Deepfake Detection: A Survey

Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck

CFAD: A Chinese Dataset for Fake Audio Detection

EmoFake: An Initial Dataset for Emotion Fake Audio Detection


Multi-model video-to-text by combining embeddings from Flan-T5 + CLIP + Whisper + SceneGraph. The 'backbone LLM' is pre-trained from scratch on YouTube (YT-1B dataset).

PaLM-E: An Embodied Multimodal Language Model

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Prismer: A Vision-Language Model with Multi-Task Experts

Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts


Set of utilities on sequences and BAM files

A unified catalog of 204,938 reference genomes from the human gut microbiome

Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma

A catalogue of 1,167 genomes from the human gut archaeome

Genome-resolved metagenomics using environmental and clinical samples

Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population

Draft genome sequence of a representative strain of the Catenibacterium genus isolated from human feces

Environmental sources along natural cave ripening shape the microbiome and metabolome of artisanal blue-veined cheeses


BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Backdoor Attack through Frequency Domain

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

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


Emissions Spatial and Temporal Allocator model


High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size


Graphite - Graph-based variant adjudication

Multi-platform discovery of haplotype-resolved structural variation in human genomes

Genome graphs and the evolution of genome inference

De novo and recessive forms of congenital heart disease have distinct genetic and phenotypic landscapes


Simple Black-box Adversarial Attacks

Random Noise Defense Against Query-Based Black-Box Attacks

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks


Annotated Genome Optimization Using Transcriptome Information

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

AGOUTI: improving genome assembly and annotation using transcriptome data

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

Three new genome assemblies of blue mussel lineages: North and South European Mytilus edulis and Mediterranean Mytilus galloprovincialis


Sarcasm detection on tweets using neural network

Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal

Empirical Methods in Natural Language Processing

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE Transactions on Affective Computing

Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction

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


cDNA read preprocessing

The gap-free genome of mulberry elucidates the architecture and evolution of polycentric chromosomes

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

Improved Nanopore full-length cDNA sequencing by PCR-suppression

Uncovering bacterial hosts of class 1 integrons in an urban coastal aquatic environment with a single-cell fusion-polymerase chain reaction technology

Uncovering the temporal dynamics and regulatory networks of thermal stress response in a hyperthermophile using transcriptomics and proteomics

Long-read sequencing-based transcriptomic landscape in longissimus dorsi and transcriptome-wide association studies for growth traits of meat rabbits

Leptospira transcriptome sequencing using long-read technology reveals unannotated transcripts and potential polyadenylation of RNA molecules

Chromosome-level genome assembly of Odontothrips loti Haliday (Thysanoptera: Thripidae)


Targetted language identifier, based on FastText and Hunspell.

A New Massive Multilingual Dataset for High-Performance Language
  Technologies

CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched
  with Linguistic and Genre Annotation


A new CardEst Benchmark to Bridge AI and DBMS

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Lero: A Learning-to-Rank Query Optimizer

FactorJoin: A New Cardinality Estimation Framework for Join Queries


piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies

Introducing piXedfit: A Spectral Energy Distribution Fitting Code Designed for Resolved Sources

The Astrophysical Journal Supplement Series

Dissecting Nearby Galaxies with piXedfit. I. Spatially Resolved Properties of Stars, Dust, and Gas as Revealed by Panchromatic SED Fitting

Spatially Resolved Stellar Populations of 0.3 < z < 6.0 Galaxies in WHL 0137–08 and MACS 0647+70 Clusters as Revealed by JWST: How Do Galaxies Grow and Quench over Cosmic Time?

A Multiwavelength view of IC 860: What Is in Action inside Quenching Galaxies

Extremely Low Molecular Gas Content in the Vicinity of a Red Nugget Galaxy at z = 1.91


NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation

MIND Your Language: A Multilingual Dataset for Cross-lingual News
  Recommendation


Testing the Ability of Language Models to Interpret Figurative Language

Metaphor Understanding Challenge Dataset for LLMs

Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors

ViPE: Visualise Pretty-much Everything


Amplicon sequencing workflow heavily using DADA2 and implemented in snakemake

Soil Texture, Sampling Depth and Root Hairs Shape the Structure of ACC Deaminase Bacterial Community Composition in Maize Rhizosphere

Effects of Tree Composition and Soil Depth on Structure and Functionality of Belowground Microbial Communities in Temperate European Forests

Water Deficit History Selects Plant Beneficial Soil Bacteria Differently Under Conventional and Organic Farming


Basic functions for power analysis in R

Field metabolic rates of teleost fishes are recorded in otolith carbonate

Compensatory Breeding in Years Following Drought in a Desert-Dwelling Cooperative Breeder

New Insights into Immunological Involvement in Congenital Disorders of Glycosylation (CDG) from a People-Centric Approach

Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain

Out of the Loop, in Your Bubble: Mind Wandering Is Independent From Automation Reliability, but Influences Task Engagement

Aphids Facing Their Parasitoids: A First Look at How Chemical Signals May Make Higher Densities of the Pea Aphid Acyrthosiphon pisum Less Attractive to the Parasitoid Aphidius ervi

Evaluating noninvasive methods for estimating cestode prevalence in a wild carnivore population

Zenodo (CERN European Organization for Nuclear Research)

The Effects of Spinal Manipulation on Oculomotor Control in Children with Attention Deficit Hyperactivity Disorder: A Pilot and Feasibility Study

Chronic 3,4-Methylenedioxymethamphetamine (MDMA) Use Is Related to Glutamate and GABA Concentrations in the Striatum But Not the Anterior Cingulate Cortex

The international journal of neuropsychopharmacology

Performance of Remsima® Monitor Drug Level versus RIDASCREEN IFX Monitoring in therapeutic drug monitoring of infliximab in patients with inflammatory bowel disease: A study of diagnostic accuracy


Automated filling of detail in reported emission scenarios

Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research


BAGEL software

Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier

Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens

Biases and Blind-Spots in Genome-Wide CRISPR Knockout Screens

Multiplex enCas12a screens show functional buffering by paralogs is systematically absent from genome-wide CRISPR/Cas9 knockout screens

DePARylation is critical for S phase progression and cell survival

Recovering false negatives in CRISPR fitness screens with JLOE


Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

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

Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

Pyramid Convolutional RNN for MRI Image Reconstruction

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

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction

Is good old GRAPPA dead


A novel R package that can identify and visualize 17 Sustainable Development Goals and associated 169 Targets in text

SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals


AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

Team ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

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

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages


For shallow-water Lagrangian particle routing.


Easy and versatile open-source  code to explore Kepler, K2 and TESS data in the search for exoplanets

GJ 273: on the formation, dynamical evolution, and habitability of a planetary system hosted by an M dwarf at 3.75 parsec

Two temperate super-Earths transiting a nearby late-type M dwarf

A large sub-Neptune transiting the thick-disk M4V TOI-2406.

A search for transiting planets around hot subdwarfs : I. Methods and performance tests on light curves from Kepler, K2, TESS, and CHEOPS

Keele Research Repository (Keele University)

TOI-2257 b: A highly eccentric long-period sub-Neptune transiting a nearby M dwarf

A super-Earth and a mini-Neptune near the 2:1 MMR straddling the radius valley around the nearby mid-M dwarf TOI-2096

The HD 260655 system: Two rocky worlds transiting a bright M dwarf at 10 pc

Two super-Earths at the edge of the habitable zone of the nearby M dwarf TOI-2095

TOI-2084 b and TOI-4184 b: Two new sub-Neptunes around M dwarf stars


A high-performance Java Implementation of RDF2Vec

Semantic similarity and machine learning with ontologies

RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings

Walk this Way! Entity Walks and Property Walks for RDF2vec

Putting RDF2vec in Order

Supervised Ontology and Instance Matching with MELT

The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

Entity Type Prediction Leveraging Graph Walks and Entity Descriptions

Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph

Ontology Matching Through Absolute Orientation of Embedding Spaces


The SDK for penglai-enclave


PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks

Parallel model exploration for tumor treatment simulations

Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells

Computational and structural biotechnology journal


These scripts create daily survey station daily temperature and anomaly plots as the ships work their way through the Bering Sea. These ships are conducting NOAA Fisheries' Alaska Fisheries Science Center's fisheries independent surveys in the Eastern Bering Sea. Scripts pull temperatures from google drive, entered by FPCs at sea, create daily maps and composite gifs, and then push the maps to google drive for the communications team.


Work with PBRT v4

Neural Network Generalization: The Impact of Camera Parameters

Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network

A computational observer model of spatial contrast sensitivity: Effects of photocurrent encoding, fixational eye movements, and inference engine

Software-Defined Imaging: A Survey

Simulations of fluorescence imaging in the oral cavity

Accurate smartphone camera simulation using 3D scenes

Using simulation to quantify the performance of automotive perception systems

Orthogonal neural representations support perceptual judgements of natural stimuli


Python Library for Signal/Image Data Analysis with Transport Methods

Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Radon cumulative distribution transform subspace modeling for image classification

The Signed Cumulative Distribution Transform for 1-D signal analysis and classification

Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification

End-to-End Signal Classification in Signed Cumulative Distribution Transform Space

Invariance encoding in sliced-Wasserstein space for image classification with limited training data

A novel reduced-order model for advection-dominated problems based on Radon-Cumulative-Distribution Transform

The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images

Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform


A python library for optimization, geared towards modular robots and evolutionary computing.

Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better


Universal Conceptual Cognitive Annotation (UCCA)

Simple and Effective Text Simplification Using Semantic and Neural Methods

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

Semantic Structural Decomposition for Neural Machine Translation

Joint Conference on Lexical and Computational Semantics

Cross-lingual Semantic Representation for NLP with UCCA

International Conference on Computational Linguistics

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation


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

GRETEL: Graph Counterfactual Explanation Evaluation Framework

Counterfactual Learning on Graphs: A Survey

Robust Stochastic Graph Generator for Counterfactual Explanations

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective


Support for Java, C#, Python

Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time

Aird-ComboComp: A combinable compressor framework with a dynamic-decider for lossy mass spectrometry data compression

Column storage enables edge computation of biological big data on 5G networks

Mathematical biosciences and engineering : MBE


Define your science modules to add values to Fink alerts!

fink, a new generation of broker for the LSST community

Monthly Notices of the Royal Astronomical Society

Fink: early supernovae Ia classification using active learning

Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification

The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression


Gephi - The Open Graph Viz Platform

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

Weighted Betweenness Preferential Attachment: A New Mechanism Explaining Social Network Formation and Evolution

Generic anomalous vertices detection utilizing a link prediction algorithm

Defining Cyber Security and Cyber Security Risk within a Multidisciplinary Context using Expert Elicitation

Risk analysis : an official publication of the Society for Risk Analysis

Genetic basis for the establishment of endosymbiosis in Paramecium

A hybrid algorithm based on community detection and multi attribute decision making for influence maximization

A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed

Therapeutic advances in gastroenterology

How Symmetric Are Real-World Graphs? A Large-Scale Study

Cross-Disciplinary Detection and Analysis of Network Motifs

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data


Metasploit Framework

RNNIDS: Enhancing network intrusion detection systems through deep learning

On generating network traffic datasets with synthetic attacks for intrusion detection

PatrIoT: practical and agile threat research for IoT

International Journal of Information Security

Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Well Begun is Half Done: An Empirical Study of Exploitability & Impact of Base-Image Vulnerabilities

Working mechanism of Eternalblue and its application in ransomworm

Real-Time Triggering of Android Memory Dumps for Stealthy Attack Investigation

Reversing Kia Motors Head Unit to discover and exploit software vulnerabilities

Journal of Computer Virology and Hacking Techniques

Responding to Targeted Stealthy Attacks on Android Using Timely-Captured Memory Dumps


Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation


Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

A Super Fast Algorithm for Estimating Sample Entropy

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression

Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective

A Deep Learning Framework for Intelligent Fault Diagnosis Using AutoML-CNN and Image-like Data Fusion


NAS Parallel Benchmarks 3.0 OpenMP C version

The ARM Scalable Vector Extension

Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications

Parallel Processing and Applied Mathematics

Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime Constructs


The nbench benchmark ported to SGX.

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

GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments

HyperEnclave: An Open and Cross-platform Trusted Execution Environment

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


BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.

Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics

HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes

Enabling Effective Error Mitigation in Memory Chips That Use On-Die Error-Correcting Codes

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation


Efficient Online Reinforcement Learning with Offline Data

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Accelerating Exploration with Unlabeled Prior Data

Unsupervised Behavior Extraction via Random Intent Priors

Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning


Atomic Line Spectral Estimation Toolbox

Variational Bayesian Inference of Line Spectra

Superfast Line Spectral Estimation

A Fast Interior Point Method for Atomic Norm Soft Thresholding


GCE (genomic charactor estimator) is a bayes model based method to estimate the  genome size, genomic repeat content and the heterozygsis rate of the sequencing sample. The estimated result  can be used to design the sequencing strategy.

Estimation of genomic characteristics by analyzing k-mer frequency in de novo genome projects

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa

Chromosome-Level Genome Assembly Provides New Insights into Genome Evolution and Tuberous Root Formation of Potentilla anserina

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

A chromosome-level reference genome of a Convolvulaceae species Ipomoea cairica

Chromosome-level genomes of seeded and seedless date plum based on third-generation DNA sequencing and Hi-C analysis

Near-chromosomal-level genome of the red palm weevil (Rhynchophorus ferrugineus), a potential resource for genome-based pest control

De Novo Genome Assembly of the Whitespot Parrotfish (Scarus forsteni): A Valuable Scaridae Genomic Resource


Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Mask-invariant Face Recognition through Template-level Knowledge Distillation

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions

Privacy-Preserving Multi-Biometric Indexing Based on Frequent Binary Patterns

Fast-DiM: Towards Fast Diffusion Morphs

Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs


Differential evolution global optimization in Python.

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

An Ultra-short Period Rocky Super-Earth with a Secondary Eclipse and a Neptune-like Companion around K2-141

The GAPS programme with HARPS-N at TNG XI. Pr~0211 in M~44: the first multi-planet system in an open cluster

Multicolour photometry for exoplanet candidate validation

A Sub-Neptune-sized Planet Transiting the M2.5 Dwarf G 9-40: Validation with the Habitable-zone Planet Finder

A possibly inflated planet around the bright young star DS Tucanae A

Kepler-423b: a half-Jupiter mass planet transiting a very old solar-like star

A Low-mass Exoplanet Candidate Detected by K2 Transiting the Praesepe M Dwarf JS 183

The GAPS Programme at TNG

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) -- II. Search for exoplanets in open clusters of the southern ecliptic hemisphere and their frequency


Deep Image Compression using Decoder Side Information (ECCV 2020)

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Neural Distributed Source Coding

Neural Distributed Image Compression Using Common Information


source code for EVM

A draft genome, resequencing, and metabolomes reveal the genetic background and molecular basis of the nutritional and medicinal properties of loquat (Eriobotrya japonica (Thunb.) Lindl)

The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light-use efficiency

The Plant journal : for cell and molecular biology

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis

High subtelomeric GC content in the genome of a zoonotic Cryptosporidium species

How genomic insights into the evolutionary history of clouded leopards inform their conservation

A draft genome at chromosome level and metabolomes of leave, root and flowers provide insights into the molecular basis of medicinal ingredients of loquat (Eriobotrya japonica&nbsp;(Thunb.) Lindl)

Chromosome-level Genome Assembly and Sex-specific Differential Transcriptome of the White-backed Planthopper, Sogatella furcifera


Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Tensor Normal Training for Deep Learning Models

Modular Block-diagonal Curvature Approximations for Feedforward Architectures

A Mini-Block Fisher Method for Deep Neural Networks

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models

Non-Convex Optimization with Spectral Radius Regularization

Randomized K-FACs: Speeding up K-FAC with Randomized Numerical Linear Algebra


Dataset and Code for MIPI2022 Challenge

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report


Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"

Masked Autoencoders Are Scalable Vision Learners


Pytorch implementation of the Power Spherical distribution

The Power Spherical distribution

Representation Uncertainty in Self-Supervised Learning as Variational Inference

Latent SDEs on Homogeneous Spaces


The implementation for the paper "Adversarial Supervised Contrastive Learning"

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

On Adaptive Attacks to Adversarial Example Defenses

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning


Deep Learning on a Data Diet: Finding Important Examples Early in Training

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

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

Coreset Selection with Prioritized Multiple Objectives

Does "Deep Learning on a Data Diet" reproduce? Overall yes, but GraNd at Initialization does not

The Details Matter: Preventing Class Collapse in Supervised Contrastive Learning

AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)

TRIAGE: Characterizing and auditing training data for improved regression

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness
  Characterization Methods for Data-Centric AI


HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

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

Domain Transfer Learning for Hyperspectral Image Super-Resolution

Self-Dictionary Regression for Hyperspectral Image Super-Resolution

Blind Fusion of Hyperspectral Multispectral Images Based on Matrix Factorization

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

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization

A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening


[SemEval-2024 Task 3] Multimodal Emotion Cause Analysis in Conversations

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations

PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations

LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing

UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction

International Workshop on Semantic Evaluation


Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Synthetic Experience Replay

GTA: Generative Trajectory Augmentation with Guidance for Offline
  Reinforcement Learning


Motion Averaging

Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot


a python package for eXtreme Angular Resolution Astronomy

Kernel phase imaging with VLT/NACO: high-contrast detection of new candidate low-mass stellar companions at the diffraction limit

Monthly notices of the Royal Astronomical Society

Kernel-phase analysis: Aperture modeling prescriptions that minimize calibration errors

Performance of near-infrared high-contrast imaging methods with JWST from commissioning

The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope. IV. Aperture Masking Interferometry

Kernel-phase detection limits

The Near Infrared Imager and Slitless Spectrograph for JWST. V. Kernel Phase Imaging and Data Analysis

Recovering saturated images for high dynamic kernel-phase analysis

High-resolution survey for planetary companions to young stars in the Taurus molecular cloud

Angular differential kernel phases

Mid-infrared photometry of the T Tauri triple system with kernel phase interferometry


MCFlow: Monte Carlo Flow Models for Data Imputation

Semi-supervised Learning with Missing Values Imputation


Anti-Backdoor learning (NeurIPS 2021)

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification

Backdoor Defense via Deconfounded Representation Learning

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Beating Backdoor Attack at Its Own Game

XGBD: Explanation-Guided Graph Backdoor Detection

Fisher Information guided Purification against Backdoor Attacks


Word alignments generated by the Montreal Forced Aligner for the Librispeech dataset

Self-Supervised Learning for speech recognition with Intermediate layer supervision

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation


Mnemonic Similarity Task

Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment

Optimizing the mnemonic similarity task for efficient, widespread use

Perceived stress associations with hippocampal-dependent behavior and hippocampal subfield volume

Healthy Middle-Aged Adults Have Preserved Mnemonic Discrimination and Integration, While Showing No Detectable Memory Benefits


[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy

Explaining and Harnessing Adversarial Examples

Towards Deep Learning Models Resistant to Adversarial Attacks

Boosting Adversarial Attacks with Momentum


a long read simulator that can imitate many types of read problems

Badread: simulation of error-prone long reads

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Detection of alternative isoforms of gene fusions from long-read RNA-seq with FLAIR-fusion


Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents


Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Feature Selection using Stochastic Gates

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

Composite Feature Selection using Deep Ensembles

Where to Pay Attention in Sparse Training for Feature Selection?

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Effective Neural Network L_0 Regularization With BinMask

ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data

Copula for Instance-wise Feature Selection and Ranking


Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

A point and density map hybrid network for crowd counting and localization based on unmanned aerial vehicles


DeepVel

DeepVel: Deep learning for the estimation of horizontal velocities at the solar surface

Machine learning in solar physics

Inferring Plasma Flows at Granular and Supergranular Scales With a New Architecture for the DeepVel Neural Network

Frontiers in Astronomy and Space Sciences

The Importance of Horizontal Poynting Flux in the Solar Photosphere


Flex ddG: Rosetta ensemble-based estimation of changes in protein-protein binding affinity upon mutation

Free Energy Perturbation Calculations of Mutation Effects on SARS-CoV-2 RBD::ACE2 Binding Affinity

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model


Explaining NLP Models via Minimal Contrastive Editing (MiCE)

Let the CAT out of the bag: Contrastive Attributed explanations for Text

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Code to run submissions for the Atlantic Causal Inference Competition

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

Treatment effect estimation with disentangled latent factors

On Inductive Biases for Heterogeneous Treatment Effect Estimation

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Counterfactual Representation Learning with Balancing Weights

In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Estimating causal effects with optimization-based methods: A review and empirical comparison

European Journal of Operational Research

Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators

Ensemble Method for Estimating Individualized Treatment Effects


Simple Implementation of Pix2Seq model for object detection in PyTorch

Attention Is All You Need

Training data-efficient image transformers & distillation through attention

Pix2seq: A Language Modeling Framework for Object Detection


Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier


Learning Transferable Visual Models From Natural Language Supervision

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

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


Microbiota Analysis in R Easily

Intestinal microbiota development and gestational age in preterm neonates

Chemotherapy-induced gastrointestinal toxicity is associated with changes in serum and urine metabolome and fecal microbiota in male Sprague–Dawley rats

Comparative analysis of vaginal microbiota sampling using 16S rRNA gene analysis

Colonic Mucosal Microbiota and Association of Bacterial Taxa with the Expression of Host Antimicrobial Peptides in Pediatric Ulcerative Colitis

International journal of molecular sciences

Parity and gestational age are associated with vaginal microbiota composition in term and late term pregnancies

Randomised clinical trial: effect of low-FODMAP rye bread versus regular rye bread on the intestinal microbiota of irritable bowel syndrome patients: association with individual symptom variation

Colonic Gene Expression and Fecal Microbiota in Diarrhea-predominant Irritable Bowel Syndrome: Increased Toll-like Receptor 4 but Minimal Inflammation and no Response to Mesalazine

Journal of neurogastroenterology and motility

Fecal Bacteria Implicated in Biofilm Production Are Enriched and Associate to Gastrointestinal Symptoms in Patients With APECED – A Pilot Study

Quantitative Fecal Microbiota Profiles Relate to Therapy Response During Induction With Tumor Necrosis Factor α Antagonist Infliximab in Pediatric Inflammatory Bowel Disease

Sources of gut microbiota variation in a large longitudinal Finnish infant cohort


Data repo for the ibean project of the AIR lab.

LoRA Training in the NTK Regime has No Spurious Local Minima

Cross-domain Transfer of defect features in technical domains based on partial target data


LS-GKM: a new gkm-SVM for large-scale datasets

Chromatin accessibility prediction via a hybrid deep convolutional neural network

Allele-specific transcription factor binding as a benchmark for assessing variant impact predictors

Gkmexplain: Fast and Accurate Interpretation of Nonlinear Gapped k-mer SVMs Using Integrated Gradients


PyTorch Implementation for Neural Graph Collaborative Filtering

Neural Graph Collaborative Filtering

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

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering

Spatial Autoregressive Coding for Graph Neural Recommendation


STOPGAP is a MATLAB-based package for subtomogram averaging.

A modular platform for automated cryo-FIB workflows

In situ cryo-electron tomography reveals gradient organization of ribosome biogenesis in intact nucleoli

Structures of the eukaryotic ribosome and its translational states in situ

STOPGAP: an open-source package for template matching, subtomogram alignment and classification

bioRxiv : the preprint server for biology

In situ architecture of the ciliary base reveals the stepwise assembly of IFT trains


Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data


RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Modeling Context in Referring Expressions

GuessWhat?! Visual object discovery through multi-modal dialogue

RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge


Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

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

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator


Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. CVPR_2021.

Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion

Real-time Streaming Video Denoising with Bidirectional Buffers

Proceedings of the 30th ACM International Conference on Multimedia

RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset


The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)

NVAE: A Deep Hierarchical Variational Autoencoder

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator


[NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale


Dynamic and static models for real-time facial emotion recognition

Deep Residual Learning for Image Recognition

VGGFace2: A dataset for recognising faces across pose and age

When Does Label Smoothing Help?

AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

IEEE Transactions on Affective Computing

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

IEEE transactions on affective computing

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study

RAMAS: Russian Multimodal Corpus of Dyadic Interaction for Affective Computing


Plasma Dispersion Relation Solver , Kinetic Version

BO: A unified tool for plasma waves and instabilities analysis

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization Calculations

Plasma wave propagation conditions analysis using the warm multi-fluid model


ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

Inferring Latent Domains for Unsupervised Deep Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Towards Recognizing New Semantic Concepts in New Visual Domains


Collection of papers on text mining for materials science

Unsupervised word embeddings capture latent knowledge from materials science literature

Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

Journal of chemical information and modeling

Text-mined dataset of inorganic materials synthesis recipes

Virtual screening of inorganic materials synthesis parameters with deep learning

Machine-learned and codified synthesis parameters of oxide materials

An open experimental database for exploring inorganic materials

Automated Extraction of Chemical Synthesis Actions from Experimental Procedures

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Semi-supervised machine-learning classification of materials synthesis procedures


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

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

Layer-diverse Negative Sampling for Graph Neural Networks


[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

Learning To Retrieve Prompts for In-Context Learning

GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

Unraveling the Mechanics of Learning-Based Demonstration Selection for
  In-Context Learning


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

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

Locally Constant Networks


PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)

Denoising Diffusion Probabilistic Models

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search


What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Understanding Catastrophic Forgetting in Language Models via Implicit Inference

Is Mamba Capable of In-Context Learning?

Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data


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

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

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

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation


Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on
  Zero-shot LLM Assessment

A Closer Look into Automatic Evaluation Using Large Language Models

Fusion-Eval: Integrating Evaluators with LLMs

DEBATE: Devil's Advocate-Based Assessment and Text Evaluation


This repository contains the source code of our proposed multimodal image segmentation frameworks. The network architectures and training procedure are provided to reproduce the experimental results in our publications.

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

IEEE International Symposium on Biomedical Imaging


ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile
  Industrial Anomaly Detection

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

MambaAD: Exploring State Space Models for Multi-class Unsupervised
  Anomaly Detection

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection

Learning Feature Inversion for Multi-class Anomaly Detection under
  General-purpose COCO-AD Benchmark


Code accompanying the article "Self-Supervised Learning for Scene Classification in Remote Sensing: current State of the Art and Perspectives"

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

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

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives


Entropy rate superpixel segmentation source code

Superpixel Segmentation Using Gaussian Mixture Model

Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint

Efficient Multiscale Object-based Superpixel Framework

ISEC: Iterative over-Segmentation via Edge Clustering

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

IEICE Transactions on Information and Systems

A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images


Derive the optimal cache hit ratio for Internet request traces with variable object sizes.

Practical Bounds on Optimal Caching with Variable Object Sizes

Proceedings of the ACM on Measurement and Analysis of Computing Systems

LeadCache: Regret-Optimal Caching in Networks

Online Caching with Optimal Switching Regret


Measuring laser beam quality, wavefronts, and lens aberrations using ptychography.

Adaptive optics enables aberration-free single-objective remote focusing for two-photon fluorescence microscopy

Spatial Wavefunction Characterization of Femtosecond Pulses at Single-Photon Level

Spinal cord motion assessed by phase-contrast MRI - An inter-center pooled data analysis


Component data sheets, busbars and files needed to build no-weld BMS DKblock style battery packs.   Here is a YouTube video, courtesy of Nick Jobbitt of a 10 block build, sped up: https://www.youtube.com/watch?v=V05_WOhEqQg&feature=youtu.be    ................    DKblock2 parts available on ebay search "DKblock


Predict multiple protein conformations using sequence clustering and AlphaFold2.

Prediction of multiple conformational states by combining sequence clustering with AlphaFold2

AlphaFold2 has more to learn about protein energy landscapes

ColabFold predicts alternative protein structures from single sequences, coevolution unnecessary for AF-cluster


ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

Learning Robust Global Representations by Penalizing Local Predictive Power

Self-Challenging Improves Cross-Domain Generalization

Masked Siamese Networks for Label-Efficient Learning

Computational models of category-selective brain regions enable high-throughput tests of selectivity

On the Strong Correlation Between Model Invariance and Generalization

Learning Visual Representations for Transfer Learning by Suppressing Texture

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift


A TensorFlow [2.0] implementation of ProSeNet: "Interpretable and Steerable Sequence Learning via Prototypes" (Ming et al., 2019)

ECG Heartbeat Classification: A Deep Transferable Representation

IEEE International Conference on Healthcare Informatics

Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling


RNA structure probing and post-transcriptional modifications mapping high-throughput data analysis

Genome-wide mapping of therapeutically-relevant SARS-CoV-2 RNA structures

SHAPE-guided RNA structure homology search and motif discovery


Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Wasserstein Adversarial Regularization for Learning With Label Noise

Wasserstein Adversarial Regularization (WAR) on label noise


Source code and dataset for "Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs"

Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs

Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation


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

NAS-Bench-101: Towards Reproducible Neural Architecture Search

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

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups


Decomposition-based peak identification, which find peaks across a large number of TSS (transcription starting site) profiles

FANTOM5 CAGE profiles of human and mouse samples

DUX4 is a multifunctional factor priming human embryonic genome activation

Transcriptomic diversity in human medullary thymic epithelial cells

Comprehensive characterization of the embryonic factor LEUTX

Monitoring transcription initiation activities in rat and dog

An Evaluation of Function of Multicopy Noncoding RNAs in Mammals Using ENCODE/FANTOM Data and Comparative Genomics

Transcription start site profiling of 15 anatomical regions of the Macaca mulatta central nervous system


WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Optimizing Dense Retrieval Model Training with Hard Negatives

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance


A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

Inference Compilation and Universal Probabilistic Programming

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Probabilistic Surrogate Networks for Simulators with Unbounded Randomness

Uncertain Evidence in Probabilistic Models and Stochastic Simulators


Plotly dataset-visualization pairs, feature extraction scripts, and model training code for VizML (CHI 2019)

VizML: A Machine Learning Approach to Visualization Recommendation

Table2Charts: Recommending Charts by Learning Shared Table Representations

Agnostic Visual Recommendation Systems: Open Challenges and Future Directions.


Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Deep Learning Based Recommender System

AI-enabled Efficient and Safe Food Supply Chain

Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems


Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Graph Contrastive Learning with Adaptive Augmentation

Large-Scale Representation Learning on Graphs via Bootstrapping

Graph Communal Contrastive Learning

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Compact Graph Structure Learning via Mutual Information Compression

Informative pseudo-labeling for graph neural networks with few labels

Relational Self-Supervised Learning on Graphs

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

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective


Dataset of 11,072 radiocarbon dates from the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP).

Holocene regional population dynamics and climatic trends in the Near East: A first comparison using archaeo-demographic proxies

Human responses and non-responses to climatic variations during the last Glacial-Interglacial transition in the eastern Mediterranean

Collapse and continuity: A multi-proxy reconstruction of settlement organization and population trajectories in the Northern Fertile Crescent during the 4.2kya Rapid Climate Change event


Improved Training of Wasserstein GANs

Improved Techniques for Training GANs

Wasserstein GAN

Generative Adversarial Text to Image Synthesis


EvaluationToolBox for Camouflaged Object Detection Task

Camouflaged Object Detection

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Boundary-Aware Segmentation Network for Mobile and Web Applications

MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing


Radial velocity and stellar parameter fitting code for large surveys

The Great Escape: Discovery of a nearby 1700 km/s star ejected from the
  Milky Way by Sgr A*

Monthly Notices of the Royal Astronomical Society

The southern stellar stream spectroscopic survey (S5) : Overview, target selection, data reduction, validation, and early science

Measuring the Mass of the Large Magellanic Cloud with Stellar Streams Observed by S5

Overview of the DESI Milky Way Survey

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

Zenodo (CERN European Organization for Nuclear Research)

The tidal remnant of an unusually metal-poor globular cluster

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor


log anomaly detection toolkit including DeepLog

LogBERT: Log Anomaly Detection via BERT

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges

PROCEEDINGS OF THE 2023 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2023

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques

Multivariate Log-based Anomaly Detection for Distributed Database

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly
  Generation and Discrimination


Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Learning to Reweight Examples for Robust Deep Learning

Data Consistency for Weakly Supervised Learning


A curated list of publically available human-robot interaction datasets

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

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

International Conference on Multimodal Interfaces

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

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

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


Classification of Alzheimer's disease status with convolutional neural networks.

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Clinica: an open source software platform for reproducible clinical neuroscience studies

Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse


tensorflow-as-gcn

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

GraphSAINT: Graph Sampling Based Inductive Learning Method

Adaptive Sampling Towards Fast Graph Representation Learning

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

Bandit Samplers for Training Graph Neural Networks

Dimensional Reweighting Graph Convolutional Networks

IGLU: Efficient GCN Training via Lazy Updates

Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs

Graph Generative Model for Benchmarking Graph Neural Networks


HAM

Listening between the Lines: Learning Personal Attributes from Conversations

RedDust: a Large Reusable Dataset of Reddit User Traits

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

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots


Enhanced version of the FastQTL QTL mapper

eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs

Genome-wide association of phenotypes based on clustering patterns of hand osteoarthritis identify WNT9A as novel osteoarthritis gene

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs

Epigenomic profiling of the infrapatellar fat pad in osteoarthritis

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration

Systematic visualisation of molecular QTLs reveals variant mechanisms at GWAS loci

bioRxiv : the preprint server for biology


Baselines for Model-Based Optimization

Conservative Objective Models for Effective Offline Model-Based Optimization

Generative Pretraining for Black-Box Optimization

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences


Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.

Network Geometry Inference using Common Neighbors

Physical review. E, Statistical, nonlinear, and soft matter physics

Manifold learning and maximum likelihood estimation for hyperbolic network embedding

The latent geometry of the human protein interaction network

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space

Geometric characterisation of disease modules


HybSeq Target Capture of 353 Protein Coding Genes in Any Angiosperm

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

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

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

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


The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models


pipeline for the analysis of small RNA data

Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson's disease revealed by deep sequencing analysis

Regional and subtype-dependent miRNA signatures in sporadic Creutzfeldt-Jakob disease are accompanied by alterations in miRNA silencing machinery and biogenesis

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

UPOCR: Towards Unified Pixel-Level OCR Interface

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization


Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.

Towards Open Set Deep Networks

Reducing Network Agnostophobia

Learning a Neural-network-based Representation for Open Set Recognition


Overlap assembler of paired-end DNA sequences generated by Illumina

Comparison of Sequencing Utility Programs

SNP-markers in Allium species to facilitate introgression breeding in onion

Is the whole greater than the sum of its parts? De novo assembly strategies for bacterial genomes based on paired-end sequencing


ICLR 2021, Contrastive Learning with Hard Negative Samples

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning Disentangled Group Representation as Feature

Contrastive Attraction and Contrastive Repulsion for Representation Learning

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

Sharpness & Shift-Aware Self-Supervised Learning


Build Text Rerankers with Deep Language Models

Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022

Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022

Post Turing: Mapping the landscape of LLM Evaluation


3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]

U-Net: Convolutional Networks for Biomedical Image Segmentation

Vision Transformers for Dense Prediction

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

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

The Entropy Enigma: Success and Failure of Entropy Minimization


Tools for viewing, analyzing, and processing multi-electrode array data.

MEA Viewer: A high-performance interactive application for visualizing electrophysiological data

Application of Spike Sorting Algorithm to Neuronal Signals Originated from Boron Doped Diamond Micro-Electrode Arrays


Fair Generative Modeling via Weak Supervision

Don't Play Favorites: Minority Guidance for Diffusion Models

Training Unbiased Diffusion Models From Biased Dataset

On Measuring Fairness in Generative Models


Weighted Wavelet Z-Transform Code for Python

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

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

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

eaydin/WWZ: First release

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


Essential introductory materials to get into computational biology.

Ten Simple Rules for Reproducible Computational Research

Best Practices for Scientific Computing

Good Enough Practices in Scientific Computing

Gene name errors are widespread in the scientific literature

Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

Bioinformatics core competencies for undergraduate life sciences education

Ten quick tips for teaching programming

Truke, a web tool to check for and handle excel misidentified gene symbols


pyebm - A toolbox for Event Based Models

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling

Data-Driven Disease Progression Modelling


[ACMMM 2024] Point-GCC: Universal Self-supervised 3D Scene Pre-training via  Geometry-Color Contrast

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?


Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"

Learning to Generate Novel Scene Compositions from Single Images and Videos

One-Shot Synthesis of Images and Segmentation Masks


TALL: Temporal Activity Localization via Language Query

MAC: Mining Activity Concepts for Language-based Temporal Localization

A Survey on Video Moment Localization

Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions


Code for Adversarial Example Games NeurIPS 2020 Paper

Adversarial Example Games

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets


Instruments for CNN training, based on Qt, Opencv and tiny-dnn projects

Weakly Supervised Few-Shot Segmentation Via Meta-Learning

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

Learning to Segment Medical Images from Few-Shot Sparse Labels

Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation


Predicting plasmid contigs from assemblies using single copy marker genes, plasmid genes, kmers - Developed by Linda van der Graaf

Antimicrobial Resistance in Salmonella enterica Serovar Paratyphi B Variant Java in Poultry from Europe and Latin America

Re-Emergence of Salmonellosis in Hog Farms: Outbreak and Bacteriological Characterization

Genetic Background and Antibiotic Resistance Profiles of K. pneumoniae NDM-1 Strains Isolated from UTI, ABU, and the GI Tract, from One Hospital in Poland, in Relation to Strains Nationally and Worldwide


Scene Text Visual Question Answering

Hierarchical multimodal transformers for Multi-Page DocVQA

Document Understanding Dataset and Evaluation (DUDE)


Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?

A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification

Clickbait Post Detection using NLP for Sustainable Content

Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection

Catching Attention with Automatic Pull Quote Selection


A Python package for analysing knots and links, in space-curves or from standard topological notations

Topological nature of the liquid–liquid phase transition in tetrahedral liquids

New Stick Number Bounds from Random Sampling of Confined Polygons

Hypergraphs for multiscale cycles in structured data

A statistical approach to knot confinement via persistent homology

Knot probabilities in equilateral random polygons

Journal of Physics A: Mathematical and Theoretical


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

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

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

QAID: Question Answering Inspired Few-shot Intent Detection

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

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


BamDeal: a comprehensive toolkit for bam manipulation

Epitranscriptome Analysis of Oxidative Stressed Retinal Epithelial Cells Depicted a Possible RNA Editing Landscape of Retinal Degeneration

Significant compositional and functional variation reveals the patterns of gut microbiota evolution among the widespread Asian honeybee populations

The first high-quality chromosome-level genome of the Sipuncula Sipunculus nudus using HiFi and Hi-C data

The mitochondrial genome of Diaphanosoma excisum Sars, 1885 (Crustacea: Branchiopoda: Cladocera) from Hainan Island, China

Chromosome-level Genome of the Muskrat (Ondatra zibethicus)

Draft genome sequence data of Haemaphysalis longicornis Oita strain


Code for coreset selection methods

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

Data pruning and neural scaling laws: fundamental limitations of score-based algorithms

Exploring Learning Complexity for Downstream Data Pruning

Spectral Greedy Coresets for Graph Neural Networks


Make a non-redundant, comprehensive COI database from NCBI and BOLD and include customizing options

COInr and mkCOInr: Building and customizing a nonredundant barcoding reference database from BOLD and NCBI using a semi‐automated pipeline

COInr and mkCOInr: Building and customizing a non-redundant barcoding reference database from BOLD and NCBI using a lightweight pipeline

COInr a comprehensive, non-redundant COI database from NCBI-nt and BOLD


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

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

Large Language Models as Hyper-Heuristics for Combinatorial Optimization

Algorithm Evolution Using Large Language Model

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

RouteFinder: Towards Foundation Models for Vehicle Routing Problems


LOD3 road space models in CityGML+SketchUp of the research project SAVe and SAVeNoW

INTEGRATION OF 3D POINT CLOUDS WITH SEMANTIC 3D CITY MODELS – PROVIDING SEMANTIC INFORMATION BEYOND CLASSIFICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

PLASTIC SURGERY FOR 3D CITY MODELS: A PIPELINE FOR AUTOMATIC GEOMETRY REFINEMENT AND SEMANTIC ENRICHMENT


Gradient based sample selection for online continual learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Online Prototype Learning for Online Continual Learning

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


This repository provides cytogenetics related datasets to investigate the semantic segmentation

A Geometric Approach For Fully Automatic Chromosome Segmentation

Image Segmentation to Distinguish Between Overlapping Human Chromosomes

Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation

Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation

Using Orientation to Distinguish Overlapping Chromosomes


A two-stage RST discourse parser

A Two-Stage Parsing Method for Text-Level Discourse Analysis

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2

MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision

Improving Neural RST Parsing Model with Silver Agreement Subtrees

North American Chapter of the Association for Computational Linguistics

A Language Model-based Generative Classifier for Sentence-level Discourse Parsing

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models


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

IEEE Transactions on Knowledge and Data Engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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

Robust Dynamic Network Embedding via Ensembles


A microbiome analysis toolkit for R

Recipe for a Healthy Gut: Intake of Unpasteurised Milk Is Associated with Increased Lactobacillus Abundance in the Human Gut Microbiome

The live biotherapeutic Blautia stercoris MRx0006 attenuates social deficits, repetitive behaviour, and anxiety-like behaviour in a mouse model relevant to autism

Prebiotic supplementation modulates selective effects of stress on behavior and brain metabolome in aged mice

Diet Prevents Social Stress-Induced Maladaptive Neurobehavioural and Gut Microbiota Changes in a Histamine-Dependent Manner

International journal of molecular sciences


Image reconstruction and inference tool for optical interferometry

A triple-star system with a misaligned and warped circumstellar disk shaped by disk tearing

MIRC-X: a highly-sensitive six telescope interferometric imager at the CHARA Array

Principles of image reconstruction in optical interferometry: tutorial

Journal of the Optical Society of America. A, Optics, image science, and vision

GRAVITY chromatic imaging of η Car’s core - Milliarcsecond resolution imaging of the wind-wind collision zone (Brγ, He I)

HAL (Le Centre pour la Communication Scientifique Directe)

Long Term Evolution of Surface Features on the Red Supergiant AZ Cyg

Why chromatic imaging matters

First Images of Cool Starspots on a Star Other than the Sun: Interferometric Imaging of λ Andromedae

Science with MATISSE

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


Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

Representation Learning with Contrastive Predictive Coding

Neural Discrete Representation Learning

Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks


Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

The Federated Tumor Segmentation (FeTS) Challenge

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023