Interface for the Basic Local Alignment Search Tool (BLAST) - R-Package

Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals

Chromosome-level phased genome assembly of "Antonovka" identified candidate apple scab-resistance genes highly homologous to HcrVf2 and HcrVf1 on linkage group 1

Clonal composition and differentiation stage of human CD30+ B cells in reactive lymph nodes

Overnight Corticosterone and Gene Expression in Mouse Hippocampus: Time Course during Resting Period

International journal of molecular sciences

The Chromosomal Distribution of Sex-Biased MicroRNAs in Drosophila is Nonadaptive

The Evidential Statistics of Genetic Assembly: Bootstrapping a Reference Sequence


Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting (TIFS Accepted).

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

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


[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

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

MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling


Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

An efficient encoder-decoder architecture with top-down attention for speech separation

Compute and Memory Efficient Universal Sound Source Separation


Code to reproduce LREC Paper Simplifying Semantic Annotations of SMCalFlow

Task-Oriented Dialogue as Dataflow Synthesis

Transactions of the Association for Computational Linguistics

MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset


Gotree is a set of command line tools and an API to manipulate phylogenetic trees. It is implemented in Go language.

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Emergence of immune escape at dominant SARS-CoV-2 killer T-cell epitope

Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows

The OceanDNA MAG catalog contains over 50,000 prokaryotic genomes originated from various marine environments

Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy

Advances in Visualization Tools for Phylogenomic and Phylodynamic Studies of Viral Diseases

A genome-scale phylogeny of Fungi; insights into early evolution, radiations, and the relationship between taxonomy and phylogeny

A Barcode-Based Phylogenetic Characterization of Phytophthora cactorum Identifies Two Cosmopolitan Lineages with Distinct Host Affinities and the First Report of Phytophthora pseudotsugae in California

Cuban history of CRF19 recombinant subtype of HIV-1

Simulation data for the estimation of numerical constants for approximating pairwise evolutionary distances between amino acid sequences


Repository of Trans4PASS (accepted to CVPR2022)

Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation


Retrofitting Word Vectors to Semantic Lexicons

Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Empirical Methods in Natural Language Processing

Joint Word Representation Learning using a Corpus and a Semantic Lexicon

Learning Word Representations with Regularization from Prior Knowledge

Conference on Computational Natural Language Learning

Aff2Vec: Affect--Enriched Distributional Word Representations

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons

Target Concept Guided Medical Concept Normalization in Noisy User-Generated Texts

Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out

Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning

International Conference on Computational Linguistics


tools to find circRNAs in RNA-seq data

The RNA-binding protein SFPQ preserves long-intron splicing and regulates circRNA biogenesis in mammals

Present Scenario of Circular RNAs (circRNAs) in Plants

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Identification of circularRNAs and their targets in Gossypium under Verticillium wilt stress based on RNA-seq

Genome-wide identification and functional analysis of circRNAs in Zea mays

Circular RNAs in the cardiovascular system

Supplementation with Milk-Derived Extracellular Vesicles Shapes the Gut Microbiota and Regulates the Transcriptomic Landscape in Experimental Colitis

Disease-Associated Circular RNAs: From Biology to Computational Identification

Identification and characterization of melon circular RNAs involved in powdery mildew responses through comparative transcriptome analysis

Computational approaches for circRNAs prediction and in silico characterization


Tensorflow Implementation of R-Net

Attention Is All You Need

SQuAD: 100,000+ Questions for Machine Comprehension of Text

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

Machine Comprehension Using Match-LSTM and Answer Pointer

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

Difficulty Controllable Generation of Reading Comprehension Questions

Difficulty Controllable Question Generation for Reading Comprehension.

Comparative Analysis of Neural QA models on SQuAD

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller

Towards Inference-Oriented Reading Comprehension: ParallelQA


A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

International Conference on Computer Vision

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

IEEE transactions on pattern analysis and machine intelligence

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

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


A pipeline for identifying indel derived neoantigens using RNA-Seq data

Main Strategies for the Identification of Neoantigens

ScanNeo: identifying indel-derived neoantigens using RNA-Seq data

Integration of Omics Data Sources to Inform Mechanistic Modeling of Immune‐Oncology Therapies: A Tutorial for Clinical Pharmacologists

Computational cancer neoantigen prediction: current status and recent advances

Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo

Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms


Overview of CTC 2021: Chinese Text Correction for Native Speakers

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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

Mining Error Templates for Grammatical Error Correction


A Matlab/Octave toolbox for stochastic Galerkin methods

Polynomial Chaos Expansion of random coefficients and the solution of stochastic partial differential equations in the Tensor Train format

Computation of the Response Surface in the Tensor Train data format

T-IFISS: a toolbox for adaptive FEM computation

Post-Processing of High-Dimensional Data

Partial inversion of elliptic operator to speed up computation of likelihood in Bayesian inference

Comparing theory based and higher-order reduced models for fusion simulation data


Implementations of Reinforcement Learning Models in Tensorflow

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

GenPADS: Reinforcing politeness in an end-to-end dialogue system


My version of Dunc Lorimer's public free searching software

Discovery of two new pulsars in 47 Tucanae (NGC 104)

Monthly Notices of the Royal Astronomical Society: Letters

An investigation of pulsar searching techniques with the fast folding algorithm

The Implementation of a Fast-folding Pipeline for Long-period Pulsar Searching in the PALFA Survey

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

A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data

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

KERN

Coherent search for binary pulsars across all Five Keplerian parameters in radio observations using the template-bank algorithm

Discovery of 37 new pulsars through GPU-accelerated reprocessing of archival data of the Parkes multibeam pulsar survey

A Post-correlation Beamformer for Time-domain Studies of Pulsars and Transients


StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.


Clonal dynamics of haematopoiesis across the human lifespan

Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference

phylodyn: an R package for phylodynamic simulation and inference

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics

Estimating effective population size changes from preferentially sampled genetic sequences

Clonality and timing of relapsing colorectal cancer metastasis revealed through whole-genome single-cell sequencing


A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

KTO: Model Alignment as Prospect Theoretic Optimization

Large Language Models: A Survey

A Long Way to Go: Investigating Length Correlations in RLHF

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy
  Data

Towards Analyzing and Understanding the Limitations of DPO: A
  Theoretical Perspective

RaFe: Ranking Feedback Improves Query Rewriting for RAG

How Far Are We From AGI

PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences

PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic
  Degeneration in Large Language Models

NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment


Adversarial attacks and adversarial robustness in computational pathology

Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma

Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines


API Documentation

Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine

Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements

A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections

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

Modeling communication asymmetry and content personalization in online social networks

Transformer-based Prediction of Emotional Reactions to Online Social Network Posts

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis


Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)

Proteogenomic characterization of pancreatic ductal adenocarcinoma

A Curated Resource for Phosphosite-specific Signature Analysis

Mapping chromatin accessibility and active regulatory elements reveals pathological mechanisms in human gliomas

Kinome Array Profiling of Patient-Derived Pancreatic Ductal Adenocarcinoma Identifies Differentially Active Protein Tyrosine Kinases

Proteogenomics of diffuse gliomas reveal molecular subtypes associated with specific therapeutic targets and immune-evasion mechanisms

PRISMA and BioID disclose a motifs-based interactome of the intrinsically disordered transcription factor C/EBPα

Tumor biology and immune infiltration define primary liver cancer subsets linked to overall survival after immunotherapy

Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular signatures

Common Germline Risk Variants Impact Somatic Alterations and Clinical Features across Cancers

Rat deconvolution as knowledge miner for immune cell trafficking from toxicogenomics databases


Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.

SSD: Single Shot MultiBox Detector

YOLOv3: An Incremental Improvement


[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Simple Questions Generate Named Entity Recognition Datasets


A python package for calculating the PESQ.

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders

Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform

FastMVAE2: On Improving and Accelerating the Fast Variational Autoencoder-Based Source Separation Algorithm for Determined Mixtures

StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation

Rethinking the visual cues in audio-visual speaker extraction

FRA-RIR: Fast Random Approximation of the Image-source Method

FastMVAE: A Fast Optimization Algorithm for the Multichannel Variational Autoencoder Method

An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoders

FastFit: Towards Real-Time Iterative Neural Vocoder by Replacing U-Net Encoder With Multiple STFTs


A Three Party MPC framework for Machine learning and Databases

Secrecy: Secure collaborative analytics on secret-shared data

Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case

Privacy-preserving collaborative machine learning on genomic data using TensorFlow

Compact: Approximating Complex Activation Functions for Secure Computation

Secure Query Processing with Linear Complexity


Gaussian word embeddings

Order-Embeddings of Images and Language

Word Representations via Gaussian Embedding

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Embedding Words as Distributions with a Bayesian Skip-gram Model

Predicting Word Association Strengths

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding

Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding


Hyperbolic Embeddings

Representation Tradeoffs for Hyperbolic Embeddings

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space


IS mapping software

ISMapper: identifying transposase insertion sites in bacterial genomes from short read sequence data

Evolution of Bordetella pertussis over a 23-year period in France, 1996 to 2018

Genome sequence comparisons of serial multi-drug-resistant Mycobacterium tuberculosis isolates over 21 years of infection in a single patient

IS6110 Copy Number in Multi-Host Mycobacterium bovis Strains Circulating in Bovine Tuberculosis Endemic French Regions

Cooperation between physiological defenses and immune resistance produces asymptomatic carriage of a lethal bacterial pathogen

bioRxiv : the preprint server for biology

ISMapper: Identifying insertion sequences in bacterial genomes from short read sequence data


Trojan Attack on Neural Network

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

Proceedings of the 39th International Conference on Computer-Aided Design

Trojan Signatures in DNN Weights

Trembling triggers: exploring the sensitivity of backdoors in DNN-based face recognition

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks


Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation


Parametric component separation for Cosmic Microwave Background observations

Probing cosmic inflation with theLiteBIRDcosmic microwave background polarization survey

Progress of Theoretical and Experimental Physics

Measuring the spectrum of primordial gravitational waves with CMB, PTA and laser interferometers

Journal of Cosmology and Astroparticle Physics

The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes

Principal component analysis of the primordial tensor power spectrum

The Simons Observatory: Galactic Science Goals and Forecasts

Foreground model recognition through Neural Networks for CMB B-mode observations

Requirements for future CMB satellite missions: photometric and band-pass response calibration

Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations

LiteBIRD science goals and forecasts. A case study of the origin of primordial gravitational waves using large-scale CMB polarization


Data package: time series of load, wind and solar generation


Hardnet descriptor model - "Working hard to know your neighbor's margins:  Local descriptor learning loss"

Local Descriptors Optimized for Average Precision

From handcrafted to deep local features

Explicit Spatial Encoding for Deep Local Descriptors

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Compression of descriptor models for mobile applications

Learning and Crafting for the Wide Multiple Baseline Stereo


ROS network stack: Topic/service transport over unreliable network connections

NimbRo Rescue: Solving Disaster‐response Tasks with the Mobile Manipulation Robot Momaro

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration

Team NimbRo at MBZIRC 2017: Fast landing on a moving target and treasure hunting with a team of micro aerial vehicles

Robust Immersive Telepresence and Mobile Telemanipulation: NimbRo wins ANA Avatar XPRIZE Finals

Supervised Autonomy for Exploration and Mobile Manipulation in Rough Terrain with a Centaur-Like Robot

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

Bimanual telemanipulation with force and haptic feedback through an anthropomorphic avatar system

Online Visual Robot Tracking and Identification using Deep LSTM Networks

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems


Simplified Transfer Learning for Chest Radiography Models Using Less Data

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

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


tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. Developed by Alexander Luce (@Nerrror) in cooperation with Heribert Wankerl (@HarryTheBird).

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization

Parameterized reinforcement learning for optical system optimization

Investigation of inverse design of multilayer thin-films with conditional invertible neural networks


DeepSphere: a graph-based spherical CNN (PyTorch)

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

DeepSphere: a graph-based spherical CNN

A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess

DeepSphere: towards an equivariant graph-based spherical CNN

Inferring dark matter substructure with astrometric lensing beyond the power spectrum

DeepSphere: a graph-based spherical CNN (ICLR'20 spotlight)


Python Active-subspaces Utility Library

Learning nonlinear level sets for dimensionality reduction in function approximation

Sequential Learning of Active Subspaces

Active Manifolds: A non-linear analogue to Active Subspaces

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces

Accelerating Derivative-Free Optimization with Dimension Reduction and Hyperparameter Learning


Experiments with experimental rule-based models to go along with imodels.

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods

MDI+: A Flexible Random Forest-Based Feature Importance Framework

Fast Interpretable Greedy-Tree Sums

Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data


Tools for processing UMI RNA-tag data

fastp: an ultra-fast all-in-one FASTQ preprocessor

SCANPY: large-scale single-cell gene expression data analysis

Power analysis of single-cell RNA-sequencing experiments

A single-cell survey of Drosophila blood

Human sensorimotor organoids derived from healthy and amyotrophic lateral sclerosis stem cells form neuromuscular junctions

Hypoxic, glycolytic metabolism is a vulnerability of B-acute lymphoblastic leukemia-initiating cells


MBX is an energy and force calculator for data-driven many-body simulations.

Realistic phase diagram of water from "first principles" data-driven quantum simulations

Structure and thermodynamics of water adsorption in NU-1500-Cr

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

Transferable Water Potentials Using Equivariant Neural Networks


Open source software for medical image processing from the Empenn team

Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data

Boutiques: a flexible framework to integrate command-line applications in computing platforms

Changes in brain perfusion in successive arterial spin labeling MRI scans in neonates with hypoxic-ischemic encephalopathy

Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI

Evaluation of distortion correction methods in diffusion MRI of the spinal cord

Multiparametric Analysis of Cerebral Development in Preterm Infants Using Magnetic Resonance Imaging

Connectivity patterns of the core resting-state networks associated with apathy in late-life depression

Journal of psychiatry & neuroscience : JPN

Boutiques: a flexible framework for automated application integration in computing platforms

Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation

A three year follow-up study of gadolinium enhanced and non-enhanced regions in multiple sclerosis lesions using a multi-compartment T2 relaxometry model.


Fast Linearized Coronagraph Optimizer (FALCO) in MATLAB

Fast linearized coronagraph optimizer (FALCO) I: a software toolbox for rapid coronagraphic design and wavefront correction

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics

High-contrast Demonstration of an Apodized Vortex Coronagraph

High contrast demonstrations of novel scalar vortex coronagraph designs at the high contrast spectroscopy testbed

Techniques and Instrumentation for Detection of Exoplanets X

Laboratory demonstration of the wrapped staircase scalar vortex coronagraph

Journal of Astronomical Telescopes, Instruments, and Systems

Flight designs and pupil error mitigation for the bowtie shaped pupil coronagraph on the Nancy Grace Roman Space Telescope

Topological designs for scalar vortex coronagraphs

Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave

Benefits of adding radial phase dimples on scalar coronagraph phase masks


Library for fast text representation and extreme classification.

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

A no-regret generalization of hierarchical softmax to extreme multi-label classification

Probabilistic Label Trees for Extreme Multi-label Classification


Java tools for Address-Event Representation (AER) neuromorphic vision and audio sensor processing

Event-based Vision: A Survey

Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection

Star Tracking using an Event Camera

Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

EDFLOW: Event Driven Optical Flow Camera With Keypoint Detection and Adaptive Block Matching

IEEE Transactions on Circuits and Systems for Video Technology

Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA

A Linear Comb Filter for Event Flicker Removal

Sensor fusion using EMG and vision for hand gesture classification in mobile applications

Falcon Neuro: an event-based sensor on the International Space Station

Optical Engineering: The Journal of SPIE

Towards neuromorphic FPGA-based infrastructures for a robotic arm


Constraints on the onset duration of the Paleocene–Eocene Thermal Maximum

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

Massive and rapid predominantly volcanic CO2 emission during the end-Permian mass extinction

Zenodo (CERN European Organization for Nuclear Research)

EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model

Iron and sulfur cycling in the cGENIE.muffin Earth system model (v0.9.21)

Data-constrained assessment of ocean circulation changes since the middle Miocene in an Earth system model

Resolving ecological feedbacks on the ocean carbon sink in Earth system models

Variable C∕P composition of organic production and its effect on ocean carbon storage in glacial-like model simulations

Inclusion of a suite of weathering tracers in the cGENIE Earth system model – muffin release v.0.9.23

Anoxic iron and sulphur cycling in the cGENIE.muffin Earth
system model (v0.9.16)

Sensitivity of ocean circulation to warming during the Early Eocene greenhouse

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


A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Highlighting the Safety Concerns of Deploying LLMs/VLMs in Robotics

Developmental Scaffolding with Large Language Models


Small and highly portable detection tests based on MITRE's ATT&CK.

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset

Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell
  Command Explainer

TREC: APT Tactic / Technique Recognition via Few-Shot Provenance
  Subgraph Learning

ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships


Text classification using deep learning models in Pytorch

Convolutional Neural Networks for Sentence Classification

A Structured Self-attentive Sentence Embedding

Identifying Misinformation from Website Screenshots

Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction


Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.

A Fast Incremental Gaussian Mixture Model

Identification of Wearable Devices with Bluetooth

IEEE Transactions on Sustainable Computing

Detecting and Classifying Human Touches in a Social Robot Through Acoustic Sensing and Machine Learning

Word Embeddings-Based Uncertainty Detection in Financial Disclosures

Meeting of the Association for Computational Linguistics

Scalable and Incremental Learning of Gaussian Mixture Models


A project to enable optimization of molecules by transforming them to and from a continuous representation.

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

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

AI-Aided Search for New HIV-1 Protease Ligands


Virtual Adversarial Training (VAT) implementation for PyTorch

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Unlabeled Data Improves Adversarial Robustness

Distributional Smoothing with Virtual Adversarial Training

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

SLIDE: a surrogate fairness constraint to ensure fairness consistency

UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles


[SDM 2022] Towards Similarity-Aware Time-Series Classification

Data-centric Artificial Intelligence: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection


[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

IEEE transactions on neural networks and learning systems

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection


Assembler for raw de novo genome assembly of long uncorrected reads.

High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

Genomic and Transcriptomic Insight of Giant Sclerotium Formation of Wood-Decay Fungi

Chromosomal rearrangements with stable repertoires of genes and transposable elements in an invasive forest-pathogenic fungus


Grism SED Fitting package

The nature of an ultra-faint galaxy in the cosmic dark ages seen with JWST

Physical Characterization of Early Galaxies in the Webb's First Deep Field SMACS J0723.3-7323

Early Results from GLASS–JWST. XXI. Rapid Asembly of a Galaxy at z = 6.23 Revealed by Its C/O Abundance

Testing the evolution of correlations between supermassive black holes and their host galaxies using eight strongly lensed quasars

Monthly Notices of the Royal Astronomical Society

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

Between the Extremes: A JWST Spectroscopic Benchmark for High Redshift
  Galaxies Using  500 Confirmed Sources at z⩾5

Strong gravitational lensing by AGNs as a probe of the quasar–host relations in the distant Universe


Attention Is All You Need

Squeeze-and-Excitation Networks

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing

FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement

Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses


Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Learning Loss for Active Learning

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios


LLM Self Defense: By Self Examination, LLMs know they are being tricked

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

Protecting Your LLMs with Information Bottleneck

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Attention Is All You Need

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

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

LaMDA: Language Models for Dialog Applications

GLU Variants Improve Transformer


Editing Models with Task Arithmetic

Editing Models with Task Arithmetic

TIES-Merging: Resolving Interference When Merging Models

Merging by Matching Models in Task Parameter Subspaces

Towards Efficient Pareto Set Approximation via Mixture of Experts Based
  Model Fusion

Parameter Competition Balancing for Model Merging


Code for the Gaze360: Physically Unconstrained Gaze Estimation in the Wild Dataset

An Objective System for Quantitative Assessment of Television Viewing Among Children (Family Level Assessment of Screen Use in the Home-Television): System Development Study


2nd place solution for Kaggle Deepfake Detection Challenge

The DeepFake Detection Challenge (DFDC) Dataset

Multi-attentional Deepfake Detection

Adversarial Threats to DeepFake Detection: A Practical Perspective

Deepfake Detection Scheme Based on Vision Transformer and Distillation

DeepFake-o-meter: An Open Platform for DeepFake Detection

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

Assessment Framework for Deepfake Detection in Real-world Situations

Robust Deepfake On Unrestricted Media: Generation And Detection

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers


This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

Graph neural network for traffic forecasting: A survey

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

A Comprehensive Survey on Traffic Prediction.

Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency


Stopwords for 50 languages in JSON format

Zika discourse in the Americas: A multilingual topic analysis of Twitter

Multilingual and Cross-Lingual Complex Word Identification

Recent Advances in Natural Language Processing

Sentiment Analysis of Tweets in Three Indian Languages

International Conference on Computational Linguistics

Measuring the Diffusion of Innovations with Paragraph Vector Topic Models

Learning Multilingual Topics from Incomparable Corpus

An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions

Analyzing Bayesian Crosslingual Transfer in Topic Models

North American Chapter of the Association for Computational Linguistics


A collection of implementations of adversarial domain adaptation algorithms

Unsupervised Domain Adaptation by Backpropagation

Adversarial Discriminative Domain Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation


Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

MACE: Mass Concept Erasure in Diffusion Models

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

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Espresso: Robust Concept Filtering in Text-to-Image Models


PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

Microsoft COCO: Common Objects in Context

Noise2Noise: Learning Image Restoration without Clean Data

Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy


Coding-Non-Coding Index (CNCI)

Non-coding RNAs and Their Roles in Stress Response in Plants

基因组蛋白质组与生物信息学报

Long Non-coding RNA ECRAR Triggers Post-natal Myocardial Regeneration by Activating ERK1/2 Signaling

Molecular therapy : the journal of the American Society of Gene Therapy

Identification and characterization of long intergenic noncoding RNAs in bovine mammary glands

A Review on Recent Computational Methods for Predicting Noncoding RNAs

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

International journal of molecular sciences

Prediction of Long Non-Coding RNAs Based on Deep Learning

Preliminary RNA-Seq Analysis of Long Non-Coding RNAs Expressed in Human Term Placenta

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data

Integrative analysis of genome‐wide lncRNA and mRNA expression in newly synthesized Brassica hexaploids

Transcriptome sequencing in a 6-hydroxydopamine rat model of Parkinson's disease.


Creative Commons Attribution Share Alike 4.0 International

[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Trends, Limitations and Open Challenges in Automatic Readability Assessment Research

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time

Hybrid Models for Sentence Readability Assessment

Workshop on Innovative Use of NLP for Building Educational Applications


My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Improving neural networks by preventing co-adaptation of feature detectors

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning

Out-distribution training confers robustness to deep neural networks


Auxiliary Classifier Generative Adversarial Networks in Keras

Conditional Image Synthesis With Auxiliary Classifier GANs

A Bayesian Data Augmentation Approach for Learning Deep Models

Fast-converging Conditional Generative Adversarial Networks for Image Synthesis


[ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


Circular bacterial genome plots based on BLAST or NUCMER/PROMER alignments

Inclusion of Oxford Nanopore long reads improves all microbial and phage metagenome-assembled genomes from a complex aquifer system

Characterization of an archaeal virus-host system reveals massive genomic rearrangements in a laboratory strain

Phenotypic and genomic assessment of the potential threat of human spaceflight-relevant Staphylococcus capitis isolates under stress conditions

First Report of Colistin-Resistant Escherichia coli Carrying mcr-1 IncI2(delta) and IncX4 Plasmids from Camels (Camelus dromedarius) in the Gulf Region

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


The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"

Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

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

Computer Vision For COVID-19 Control: A Survey

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images

Unsupervised Deep learning-based Feature Fusion Approach for Detection and Analysis of COVID-19 using X-ray and CT Images


Solar Panel Detection (Turing Climate Action Call)


A Python Package for the calculation of inflationary correlation functions.

Attractor behaviour in multifield inflation

Journal of Cosmology and Astroparticle Physics

Numerically evaluating the bispectrum in curved field-space— with PyTransport 2.0

Multi-field inflation with large scalar fluctuations: non-Gaussianity and perturbativity

Non-linear effects in early Universe cosmology


FASconCAT-G offers a wide range of possibilities to edit and concatenate multiple nucleotide, amino acid, and structure sequence alignment files for phylogenetic and population genetic purposes. The main options include sequence renaming, file format conversion, sequence translation, consensus generation of predefined sequence blocks, and RY coding as well as site exclusions in nucleotide sequences. FASconCAT-G implemented process options can be invoked in any combination and performed during a single process run. FASconCAT-G can also read in and handle different file formats (FASTA, CLUSTAL, and PHYLIP) in a single run.

The tuatara genome reveals ancient features of amniote evolution

The Crown Pearl: a draft genome assembly of the European freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758)

Complete mitochondrial genome of the ragworm annelid Hediste diversicolor (of Muller, 1776) (Annelida: Nereididae)

Shedding light on the Chimaeridae taxonomy: the complete mitochondrial genome of the cartilaginous fish Hydrolagus mirabilis (Collett, 1904) (Holocephali: Chimaeridae)

The complete mitochondrial genome of the endemic Iberian pygmy skate Neoraja iberica Stehmann, Séret, Costa, & Baro 2008 (Elasmobranchii, Rajidae)

Organellar genomes of giant kelp from the southern hemisphere


Drebin - NDSS 2014 Re-implementation

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection

When the Guard failed the Droid: A case study of Android malware

Dataset Bias in Android Malware Detection


mmCIF-based extension dictionary for computed structure models

RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning

The impact of AlphaFold Protein Structure Database on the fields of life sciences

Protein Data Bank: A Comprehensive Review of 3D Structure Holdings and Worldwide Utilization by Researchers, Educators, and Students

ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models


Official Pytorch implementation of GANILLA

GANILLA: Generative Adversarial Networks for Image to Illustration Translation

MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation

Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons


Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation


Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning


CMA-ES written in ANSI C (yet fairly object-oriented)

Quantifying the impact of boundary constraint handling methods on differential evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion


code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

Are EEG-to-Text Models Working?

BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision


Processing functions for Fiber Optic Distributed Sensing (FODS) data.

The Large eddy Observatory, Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing

NYTEFOX - The NY-Ålesund TurbulencE Fiber Optic eXperiment investigating the Arctic boundary layer, Svalbard

Zenodo (CERN European Organization for Nuclear Research)


(ECCVW 2020) Joint Denoising and SR in Microscopy Imaging

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders

Improving Blind Spot Denoising for Microscopy

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

Joint self-supervised blind denoising and noise estimation


[NeurIPS 2022] WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

ExpeL: LLM Agents Are Experiential Learners

On the Tool Manipulation Capability of Open-source Large Language Models

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

AgentGym: Evolving Large Language Model-based Agents across Diverse
  Environments

The Generalization Gap in Offline Reinforcement Learning


A repository of bioinformatic scripts, SOPs, and tutorials for analyzing microbiome data.

Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research

A Fungal World: Could the Gut Mycobiome Be Involved in Neurological Disease?

Differential Colonization and Succession of Microbial Communities in Rock and Soil Substrates on a Maritime Antarctic Glacier Forefield

Bacterial Dynamics of Wheat Silage

Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden

Atherosclerosis amelioration by allicin in raw garlic through gut microbiota and trimethylamine-N-oxide modulation

Bacterial Taxa and Functions Are Predictive of Sustained Remission Following Exclusive Enteral Nutrition in Pediatric Crohn's Disease

Evidence of high N2 fixation rates in the temperate northeast Atlantic

Effect of dietary oil from Camelina sativa on the growth performance, fillet fatty acid profile and gut microbiome of gilthead Sea bream (Sparus aurata)

Characterisation of gut microbiota of obesity and type 2 diabetes in a rodent model

Bioscience of microbiota, food and health


Runtime verification tool for Solidity smart contracts.

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Continuous and Secure Integration Framework for Smart Contracts


Features selector based on the self selected-algorithm, loss function and validation method

AutoML to Date and Beyond: Challenges and Opportunities

Feature Selection Algorithms as One of the Python Data Analytical Tools

Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality Reduction


[DEPRECATED] Command line tools for recording, replaying and mirroring touchscreen events for Android

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models

Translating Video Recordings of Mobile App Usages into Replayable Scenarios

International Conference on Software Engineering

GIFdroid: Automated Replay of Visual Bug Reports for Android Apps

Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios

Visual Identification of Mobile App GUI Elements for Automated Robotic Testing

Computational intelligence and neuroscience

Towards Efficient Record and Replay: A Case Study in WeChat

Learning-Replay Based Automated Robotic Testing for Mobile App


Python client library for Guppy

An improved ovine reference genome assembly to facilitate in-depth functional annotation of the sheep genome

Microorganisms as bio‐filters to mitigate greenhouse gas emissions from high‐altitude permafrost revealed by nanopore‐based metagenomics

A Highly Contiguous Genome Assembly of Arthrinium puccinoides

Complete Genome Sequence of Lactobacillus crispatus Type Strain ATCC 33820

A bacterial symbiont in the gill of the marine scallop Argopecten irradians irradians metabolizes dimethylsulfoniopropionate

The highly diverse plasmid population found in Escherichia coli colonizing travellers to Laos and its role in antimicrobial resistance gene carriage

Whole-Genome Shotgun Sequence of Bacillus mycoides Strain U53, a Psychrotolerant Bacterium Isolated from the Sakhalin Region in Russia

Structure and rational engineering of the PglX methyltransferase and specificity factor for BREX phage defence


Data and information about the Polaris study

A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

Assessing structural variation in a personal genome—towards a human reference diploid genome

ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data

Characterization of 137 Genomic DNA Reference Materials for 28 Pharmacogenetic Genes: A GeT-RM Collaborative Project

The Journal of molecular diagnostics : JMD

Diversity in non-repetitive human sequences not found in the reference genome

Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms

Inheritance of paternal DNA damage by histone-mediated repair restriction

NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data

GeneBreaker: Variant simulation to improve the diagnosis of Mendelian rare genetic diseases


Alluvial diagrams

Developmental trajectory of the healthy human gut microbiota during the first 5 years of life

A Widespread Neurogenic Potential of Neocortical Astrocytes Is Induced by Injury

Reconfiguration of Cortical Networks in MDD Uncovered by Multiscale Community Detection with fMRI

Multiple roles of H2A.Z in regulating promoter chromatin architecture in human cells

Comparison of metadata with relevance for bibliometrics between Microsoft Academic Graph and OpenAlex until 2020

Concordance of Immunohistochemistry-Based and Gene Expression-Based Subtyping in Breast Cancer

Computational identification of repurposed drugs against viruses causing epidemics and pandemics via drug-target network analysis

Scores of a specific field-normalized indicator calculated with different approaches of field-categorization: Are the scores different or similar?

New insights into the epidemiology of Listeria monocytogenes – A cross-sectoral retrospective genomic analysis in the Netherlands (2010–2020)

Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over


Image segmentation of cultivated land


Hazel v2.0: synthesis and inversion of Stokes profiles caused by the joint action of atomic level polarization and the Hanle and Zeeman effects

Detecting Magnetic Fields in Exoplanets with Spectropolarimetry of the Helium Line at 1083 nm

Determining the dynamics and magnetic fields in He I 10830 Å during a solar filament eruption

Three-dimensional magnetic field structure of a flux-emerging region in the solar atmosphere

Magnetic field fluctuations in the shocked umbral chromosphere

The Plasma β in Quiet Sun Regions: Multi-instrument View


Bird tracking - GPS tracking network for large birds

GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast

GPS tracking data of Eurasian oystercatchers (Haematopus ostralegus) from the Netherlands and Belgium

O_WESTERSCHELDE - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in East Flanders (Belgium)

O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)

LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands)

HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)

LBBG_JUVENILE - Juvenile lesser black-backed gulls (Larus fuscus, Laridae) hatched in Zeebrugge (Belgium)

O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands)


BrainPainter - Brain Visualisation Software

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes

Differences in topological progression profile among neurodegenerative diseases from imaging data

Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks

Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy


Understand and test language model architectures on synthetic tasks.

Zoology: Measuring and Improving Recall in Efficient Language Models

Simple linear attention language models balance the recall-throughput tradeoff

HGRN2: Gated Linear RNNs with State Expansion

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks

Just read twice: closing the recall gap for recurrent language models

Linear Transformers with Learnable Kernel Functions are Better
  In-Context Models


ROSE2 python package

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

Interaction between SNAI2 and MYOD enhances oncogenesis and suppresses differentiation in Fusion Negative Rhabdomyosarcoma

Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Genome-wide profiling of active enhancers in colorectal cancer


A collection of open source DICE and DICE-like models


TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Recommender Systems in the Era of Large Language Models (LLMs)

Stealthy Attack on Large Language Model based Recommendation

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System

Finetuning Large Language Model for Personalized Ranking


This toolbox aims to unify audio generation model evaluation for easier comparison.

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

Audiobox: Unified Audio Generation with Natural Language Prompts

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video
  Generation

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI


INNUENDO quality control of reads, de novo assembly and contigs quality assessment, and possible contamination search

Listeria monocytogenes Sequence Types 121 and 14 Repeatedly Isolated Within One Year of Sampling in a Rabbit Meat Processing Plant: Persistence and Ecophysiology

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS

Screening of Bacteriocinogenic Lactic Acid Bacteria and Their Characterization as Potential Probiotics

Persistent contamination of raw milk by Campylobacter jejuni ST-883

Advanced Research Infrastructure for Experimentation in genomicS (ARIES): a lustrum of Galaxy experience

Longitudinal Study of Shiga Toxin-Producing Escherichia coli and Campylobacter jejuni on Finnish Dairy Farms and in Raw Milk

Streptococcus canis Are a Single Population Infecting Multiple Animal Hosts Despite the Diversity of the Universally Present M-Like Protein SCM

Evidence for the Dissemination to Humans of Methicillin-Resistant Staphylococcus aureus ST398 through the Pork Production Chain: A Study in a Portuguese Slaughterhouse

Identification of polysaccharide capsules among extensively drug-resistant genitourinary Haemophilus parainfluenzae isolates

Genome–scale approach to study the genetic relatedness among Brucella melitensis strains


R package to estimate q-values and false discovery rate quantities.

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

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

Combinatorial CRISPR–Cas9 screens for de novo mapping of genetic interactions

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Balancing trade-offs between biotic and abiotic stress responses through leaf age-dependent variation in stress hormone cross-talk

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

Proteobacteria explain significant functional variability in the human gut microbiome

p62/SQSTM1-droplet serves as a platform for autophagosome formation and anti-oxidative stress response

HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design

Multinucleotide mutations cause false inferences of lineage-specific positive selection


ULYSSES: Universal LeptogeneSiS Equation Solver

Primordial black hole evaporation and dark matter production. II. Interplay with the freeze-in or freeze-out mechanism

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Rescuing high-scale leptogenesis using primordial black holes

Superradiant production of heavy dark matter from primordial black holes

ULYSSES, universal LeptogeneSiS equation solver: Version 2

Non-thermal WIMPy baryogenesis with primordial black hole


Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

International Conference on Computer Vision

Guided Open Vocabulary Image Captioning with Constrained Beam Search

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


Tool suite for analysing molecular dynamics trajectories using network analysis and PRS

MD-TASK: a software suite for analyzing molecular dynamics trajectories

MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics

Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 Mpro and its evolutionary mutations as a case study

Computational and structural biotechnology journal

Allosteric pockets and dynamic residue network hubs of falcipain 2 in mutations including those linked to artemisinin resistance

Evolutionary progression of collective mutations in Omicron sub-lineages towards efficient RBD-hACE2: Allosteric communications between and within viral and human proteins

SHP-1 tyrosine phosphatase binding to c-Src kinase phosphor-dependent conformations: A comparative structural framework


The project is a platform of zero learning with a library of games.

Deep Reinforcement Learning

Deep Learning for General Game Playing with Ludii and Polygames

AI and Wargaming

Efficient Reasoning in Regular Boardgames


Multiple-Instance Support Vector Machines

Attention-based Deep Multiple Instance Learning

Extracting microRNA-gene relations from biomedical literature using distant supervision

IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data

Pain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints

Theory and Algorithms for Shapelet-Based Multiple-Instance Learning

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications


Data and models for the SciFact verification task.

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

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Fact or Fiction: Verifying Scientific Claims

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration


STAR based ENCODE Long RNA-Seq processing pipeline

Expanded encyclopaedias of DNA elements in the human and mouse genomes

Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients

Bcl11b sets pro-T cell fate by site-specific cofactor recruitment and by repressing Id2 and Zbtb16

Landscape of innate lymphoid cells in human head and neck cancer reveals divergent NK cell states in the tumor microenvironment

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

Cell type–specific actions of Bcl11b in early T-lineage and group 2 innate lymphoid cells

Global translation during early development depends on the essential transcription factor PRDM10

The microdissected gene expression landscape of nasopharyngeal cancer reveals vulnerabilities in FGF and noncanonical NF-κB signaling

Loss of Nup210 results in muscle repair delays and age-associated alterations in muscle integrity

PRAM: a novel pooling approach for discovering intergenic transcripts from large-scale RNA sequencing experiments


Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs

International Conference on Computer Communications

Network Sampling: From Static to Streaming Graphs

On random walk based graph sampling

International Conference on Data Engineering

Fast Sequence-Based Embedding with Diffusion Graphs

Sampling social networks using shortest paths

Physica A: Statistical Mechanics and its Applications

Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness

Little Ball of Fur: A Python Library for Graph Sampling

Leveraging History for Faster Sampling of Online Social Networks

Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion


A C++ implementation of Jump Point Search on both 2D and 3D maps

Multirotor Planning in Dynamic Environments using Temporal Safe Corridors

MACE: Multi-Agent Autonomous Collaborative Exploration of Unknown Environments

High-Speed Motion Planning for Aerial Swarms in Unknown and Cluttered Environments


Pytorch implementation of FlowNet by Dosovitskiy et al.

FlowNet: Learning Optical Flow with Convolutional Networks

Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network

The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation


Large category of modules over monads on top of UniMaths and Display category

Presentable signatures and initial semantics

Modular specification of monads through higher-order presentations

Signatures and models for syntax and operational semantics in the presence of variable binding


The Catalogue of Life

An audit of some processing effects in aggregated occurrence records


A Python API for estimating statistical high-order epistasis in genotype-phenotype maps.

High-order epistasis shapes evolutionary trajectories

Molecular ensembles make evolution unpredictable

Uninterpretable interactions: epistasis as uncertainty

Master regulators of biological systems in higher dimensions

Master regulators of evolution and the microbiome in higher dimensions


floating-point errors checker

Stochastic rounding: implementation, error analysis and applications

The Positive Effects of Stochastic Rounding in Numerical Algorithms

Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis

Numerical Stability of DeepGOPlus Inference


Microsoft SEAL 4.X For Python

A survey on implementations of homomorphic encryption schemes

Measuring Linkability of Protected Biometric Templates Using Maximal Leakage

IEEE Transactions on Information Forensics and Security

Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication

CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network

EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

Secure Vertical Federated Learning Under Unreliable Connectivity

Homomorphic encryption for stochastic computing


Transfer Learning library for Deep Neural Networks.

Variational Information Distillation for Knowledge Transfer

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Transferring Knowledge across Learning Processes

Fast Adaptation with Linearized Neural Networks

Similarity of Neural Networks with Gradients

EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


A C++/python library for source modeling in gamma astronomy

Gamma-Ray Flares in the Long-term Light Curve of 3C 454.3

The Astrophysical Journal Supplement Series

Galactic gamma-ray and neutrino emission from interacting cosmic-ray nuclei

Multi wavelength study of 4C+28.07

Possible TeV Gamma-Ray Binary Origin of HESS J1828–099

Spectral Modeling of Flares in Long Term Gamma-Ray Light Curve of PKS 0903-57

Gamma-ray flares and broadband spectral study of PKS 0402-362

Hadronic re-acceleration at the Crab pulsar wind termination shock as a source of PeV gamma-rays

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)

Exploring the Emission Mechanisms of Mrk 180 with Long-term X-Ray and γ-Ray Data


✂ Automated high-quality background removal framework for an image using neural networks. ✂

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D

Guide3D: Create 3D Avatars from Text and Image Guidance

Are These the Same Apple? Comparing Images Based on Object Intrinsics


Flexible Framework for Parallel PDE Parameter Estimation in Julia

A fast marching algorithm for the factored eikonal equation

jInv -- a flexible Julia package for PDE parameter estimation

Full waveform inversion guided by travel time tomography


EventStream is like functional programming meets IO

Small World with High Risks: A Study of Security Threats in the npm Ecosystem

On the impact of security vulnerabilities in the npm and RubyGems dependency networks

Security Issues in Language-based Software Ecosystems

Software supply chain: review of attacks, risk assessment strategies and security controls

Automatically Assessing and Extending Code Coverage for NPM Packages


A free audio dataset of spoken digits. An audio version of MNIST.

SMIL: Multimodal Learning with Severely Missing Modality

Scalable Optical Learning Operator

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task

Towards Empirical Sandwich Bounds on the Rate-Distortion Function

On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections

Did the Model Change? Efficiently Assessing Machine Learning API Shifts

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning

Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices

Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity


An analysis of concurrency control protocols for in-memory databases with CCBench

Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking

Polynesia: Enabling Effective Hybrid Transactional/Analytical Databases with Specialized Hardware/Software Co-Design

Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems (Extended Version)

Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design

The full story of 1000 cores


OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction

BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields

EasyVolcap: Accelerating Neural Volumetric Video Research

SIGGRAPH Asia 2023 Technical Communications


AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch

Enabling robust offline active learning for machine learning potentials using simple physics-based priors

Machine Learning: Science and Technology

Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials

A Universal Framework for Featurization of Atomistic Systems

Machine Learning Diffusion Monte Carlo Forces

GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems


Python bindings for MPI

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

Comparing weak lensing peak counts in baryonic correction models to hydrodynamical simulations

Monthly Notices of the Royal Astronomical Society

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems


An open-source post-exploitation framework for students, researchers and developers.

An Efficient Framework for Detection and Classification of IoT Botnet Traffic

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Trusted Multi-Domain DDoS Detection Based on Federated Learning

The SEED Internet Emulator and Its Applications in Cybersecurity Education


Pytorch Implementation of GoEmotions

GoEmotions: A Dataset of Fine-Grained Emotions

Comparing emotion feature extraction approaches for predicting depression and anxiety

Workshop on Computational Linguistics and Clinical Psychology

ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer


The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

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

Exploring Global Information for Session-based Recommendation

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022

Self Contrastive Learning for Session-based Recommendation

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review


Attention-based Deep Multiple Instance Learning

Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning

Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer

Histopathology Slide Indexing and Search: Are We There Yet?

Analysis and Validation of Image Search Engines in Histopathology


Solar radiation model for flight dynamics. Based on Duffie & Beckman "Solar energy thermal processes" (1974)


adds sample names and read-group (RG) tags to BAM alignments

Assessment of Genetic Diversity and Population Structure in Iranian Cannabis Germplasm

Transmembrane transport and stress response genes play an important role in adaptation of Arabidopsis halleri to metalliferous soils

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Diversity of Neofusicoccum parvum for the Production of the Phytotoxic Metabolites (-)-Terremutin and (R)-Mellein

Genome editing excisase origins illuminated by somatic genome of Blepharisma

Origins of genome-editing excisases as illuminated by the somatic genome of the ciliate Blepharisma

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


Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

Neural Metric Learning for Fast End-to-End Relation Extraction

Putting them under microscope: a fine-grained approach for detecting redundant test cases in natural language


Unified Concept Editing in Diffusion Models

MACE: Mass Concept Erasure in Diffusion Models

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

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


Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

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

Semi-Supervised Learning with Generative Adversarial Networks

Domain Transformer: Predicting Samples of Unseen, Future Domains


Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Correcting Diffusion-Based Perceptual Image Compression with Privileged
  End-to-End Decoder

Neural Image Compression with Text-guided Encoding for both Pixel-level
  and Perceptual Fidelity


Source code of the paper "Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task" published in LREC 2020.

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

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications

PerCQA: Persian Community Question Answering Dataset


Show and Tell : A Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

SAFE: Similarity-Aware Multi-Modal Fake News Detection

A Survey on the Use of Graph Convolutional Networks for Combating Fake News


A Broader Study of Cross-Domain Few-Shot Learning

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference


Temporal-Relational CrossTransformers (CVPR 2021)

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Few-shot Action Recognition via Intra- and Inter-Video Information Maximization

Rethinking matching-based few-shot action recognition


Building classifiers using cancer transcriptomes across 33 different cancer-types

Evaluating deep variational autoencoders trained on pan-cancer gene expression

Identifying Explainable Machine Learning Models and a Novel SFRP2+ Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer

International journal of molecular sciences


The Pytorch Implemention of MesoNet

MesoNet: a Compact Facial Video Forgery Detection Network

International Workshop on Information Forensics and Security

GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection

Block shuffling learning for Deepfake Detection


Breaking the Dilemma of Medical Image-to-image Translation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

An Attentive-based Generative Model for Medical Image Synthesis

Deformation equivariant cross-modality image synthesis with paired non-aligned training data


Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

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

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

What Are Tools Anyway? A Survey from the Language Model Perspective

ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition


DeepSpeech based forced alignment tool

Scaling Speech Technology to 1,000+ Languages

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

A Toolbox for Construction and Analysis of Speech Datasets

What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice


STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Social Attention: Modeling Attention in Human Crowds

International Conference on Computer Vision

Human Trajectory Prediction via Counterfactual Analysis


GSEE: Global Solar Energy Estimator

Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data

Optimized Balance Between Electricity Load and Wind-Solar Energy Production

Energy self-sufficient households with photovoltaics and electric vehicles are feasible in temperate climate

Comprehensive analysis of tropical rooftop PV project: A case study in nanning


Vitis HLS LLVM source code and examples

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach

A Survey of FPGA Optimization Methods for Data Center Energy Efficiency

IEEE Transactions on Sustainable Computing

Compiler Infrastructure for Specializing Domain-Specific Memory Templates


UAlbertaBot

Learning Macromanagement in StarCraft from Replays using Deep Learning

Modular Architecture for StarCraft II with Deep Reinforcement Learning

Combat Models for RTS Games

Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games

Learning to Identify Rush Strategies in StarCraft


Creating super-parallel corpora of more than 1500+ unique languages for NLP research

Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction

Meeting of the Association for Computational Linguistics

GlotLID: Language Identification for Low-Resource Languages


World Models with TensorFlow 2

World Models

Latent Representation Prediction Networks


An Enhanced OpenMP Library

OpenMP Loop Scheduling Revisited: Making a Case for More Schedules

A Probabilistic Machine Learning Approach to Scheduling Parallel Loops With Bayesian Optimization

IEEE Transactions on Parallel and Distributed Systems

Toward a Standard Interface for User-Defined Scheduling in OpenMP

Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach


Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

3D-aware Blending with Generative NeRFs

Masked Diffusion as Self-supervised Representation Learner

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining


Software for generating a brain-predicted age value, using Gaussian Processes regression, implemented in R

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme

Brain-age is associated with progression to dementia in memory clinic patients

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test-retest reliability of publicly available software packages

Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health

Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II

Accelerated brain aging in major depressive disorder and antidepressant treatment response: A CAN-BIND report

Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study

Network Modeling Sex Differences in Brain Integrity and Metabolic Health

White matter hyperintensity load is associated with premature brain aging


Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

On Calibration of Modern Neural Networks

Verified Uncertainty Calibration

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Distribution-Free Statistical Dispersion Control for Societal Applications

Hidden Heterogeneity: When to Choose Similarity-Based Calibration


A Span-Extraction Dataset for Chinese Machine Reading Comprehension  (CMRC 2018)

Empirical Methods in Natural Language Processing

Cross-Lingual Machine Reading Comprehension

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT

Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER)


A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)

New physics in light of the H_0 tension: an alternative view

Tale of stable interacting dark energy, observational signatures, and the H0 tension

Journal of Cosmology and Astroparticle Physics

Interacting dark energy with time varying equation of state and the
H0
 tension

Observational constraints on one-parameter dynamical dark-energy parametrizations and the H_0 tension

General cosmography model with spatial curvature

Monthly notices of the Royal Astronomical Society

No Evidence for Extensions to the Standard Cosmological Model

Update on Coupled Dark Energy and the H_0 tension

Dark Energy with Phantom Crossing and the H0 Tension

Observational constraints on sign-changeable interaction models and alleviation of the H-0 tension

Early modified gravity in light of the H-0 tension and LSS data


Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences

CDPAM: Contrastive learning for perceptual audio similarity

SESQA: semi-supervised learning for speech quality assessment


STREAM benchmark

High Performance Multivariate Geospatial Statistics on Manycore Systems

Secure Platform for Processing Sensitive Data on Shared HPC Systems

BIOS-Based Server Intelligent Optimization


Whole Genome Simulator for Next-Generation Sequencing

Evaluating the Information Content of Shallow Shotgun Metagenomics

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

The Drosophila Genome Nexus: A Population Genomic Resource of 623 Drosophila melanogaster Genomes, Including 197 from a Single Ancestral Range Population

Interactive analysis and assessment of single-cell copy-number variations

Exploring genome characteristics and sequence quality without a reference

Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters

NanoVar: Accurate Characterization of Patients’ Genomic Structural Variants Using Low-Depth Nanopore Sequencing

Spaced seeds improve k-mer-based metagenomic classification

Testing the advantages and disadvantages of short- and long- read eukaryotic metagenomics using simulated reads


A technical report on convolution arithmetic in the context of deep learning

A guide to convolution arithmetic for deep learning

CASI: A Convolutional Neural Network Approach for Shell Identification

Braille Recognition for Reducing Asymmetric Communication between the Blind and Non-Blind

SCN: A Novel Shape Classification Algorithm Based on Convolutional Neural Network

Master's Thesis : Deep Learning for Visual Recognition

Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks

Off-By-One Implementation Error in J-UNIWARD


A toolkit for working with piano rolls

Multitask learning for frame-level instrument recognition

A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning

Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation


Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Restart Sampling for Improving Generative Processes

Poisson flow consistency models for low-dose CT image denoising


Machine Learning and Artificial Intelligence for Medicine.

PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees

International Conference on Learning Representations

GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

INVASE: Instance-wise Variable Selection using Neural Networks

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design

International Conference on Machine Learning

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning

CASTLE: Regularization via Auxiliary Causal Graph Discovery

Scalable Bayesian Inverse Reinforcement Learning

KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks


A python package for battery models


PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Multivariate Time-series Anomaly Detection via Graph Attention Network

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability


Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

The Astrophysical Journal Supplement Series

Machine Learning Techniques for Stellar Light Curve Classification

From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning

Streaming Classification of Variable Stars


Open source release of the evaluation benchmark suite described in  "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Class-Imbalanced Semi-Supervised Learning

Don't fear the unlabelled: safe semi-supervised learning via simple debiasing


Creative Commons Attribution 4.0 International

BETO - Spanish version of the BERT model

Spanish Pre-trained BERT Model and Evaluation Data

Mitigating Language-Dependent Ethnic Bias in BERT

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Multi-Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis

Pre-training Polish Transformer-based Language Models at Scale

Constructing Taxonomies from Pretrained Language Models

“Here Are the Rules: Ignore All Rules”: Automatic Contradiction Detection in Spanish

Automatic Correction of Real-Word Errors in Spanish Clinical Texts

Lessons learned from the evaluation of Spanish Language Models

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


simple customizable risk scores in python

Learning Optimized Risk Scores

Connecting Interpretability and Robustness in Decision Trees through Separation

MonoNet: Towards Interpretable Models by Learning Monotonic Features

FasterRisk: Fast and Accurate Interpretable Risk Scores

OPTIMIZED RISK SCORE TO PREDICT MORTALITY IN PATIENTS WITH CARDIOGENIC SHOCK IN THE CARDIAC INTENSIVE CARE UNIT

Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease

Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models


TOFlow: Video Enhancement with Task-Oriented Flow

International Journal of Computer Vision

Deep Contextual Video Compression

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

VFIMamba: Video Frame Interpolation with State Space Models


This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

The Dynamic Embedded Topic Model

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)

GDTM: Graph-based Dynamic Topic Models

Measuring national capability over big science’s multidisciplinarity: A case study of nuclear fusion research

Deep Probabilistic Graphical Modeling

Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic Labeling

Australasian Language Technology Association Workshop


Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation

SLC19A1 transports immunoreactive cyclic dinucleotides

Combined CRISPRi/a-Based Chemical Genetic Screens Reveal that Rigosertib Is a Microtubule-Destabilizing Agent

Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs

A curative combination cancer therapy achieves high fractional cell killing through low cross-resistance and drug additivity

Cellular response to small molecules that selectively stall protein synthesis by the ribosome

FBXL4 ubiquitin ligase deficiency promotes mitophagy by elevating NIX levels

Genome-wide CRISPRi screening identifies OCIAD1 as a prohibitin client and regulatory determinant of mitochondrial Complex III assembly in human cells

Improving prime editing with an endogenous small RNA-binding protein

IFITM proteins assist cellular uptake of diverse linked chemotypes


CUDA-accelerated Fully Homomorphic Encryption Library

HEAX: An Architecture for Computing on Encrypted Data

SoK: Fully Homomorphic Encryption Compilers

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

Non-Interactive Private Decision Tree Evaluation

Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE

Accelerating Encrypted Computing on Intel GPUs

HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits

SoK: Fully Homomorphic Encryption Accelerators

Practical solutions in fully homomorphic encryption: a survey analyzing existing acceleration methods


A tool for learning vector representations of words and entities from Wikipedia

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

Neural Entity Linking: A Survey of Models Based on Deep Learning

Novel Entity Discovery from Web Tables

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

Neural Attentive Bag-of-Entities Model for Text Classification

Representation Learning of Entities and Documents from Knowledge Base Descriptions

Studio Ousia's Quiz Bowl Question Answering System

The Springer series on challenges in machine learning

On the Coherence of Fake News Articles


Python package to model and forecast the risk of deforestation


Raster to Vector Graphics Converter

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding

StarVector: Generating Scalable Vector Graphics Code from Images

Image Vectorization: a Review

Visually Descriptive Language Model for Vector Graphics Reasoning


A Python package for modelling the Australian National Electricity Market dispatch procedure


Matlab toolbox for classification and regression of multi-dimensional data

Characterizing the dynamics of mental representations: the temporal generalization method

MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis

Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task

Auditory cortical alpha/beta desynchronization prioritizes the representation of memory items during a retention period

Targeted memory reactivation in human REM sleep elicits detectable reactivation

Temporal prediction elicits rhythmic preactivation of relevant sensory cortices

Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis

Auditory cortical alpha desynchronization prioritizes the representation of memory items during a retention period

Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA


PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

TorchAudio: Building Blocks for Audio and Speech Processing

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

On the Compensation Between Magnitude and Phase in Speech Separation

Investigating Self-Supervised Learning for Speech Enhancement and Separation

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders

Speech Denoising Without Clean Training Data: A Noise2Noise Approach

STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency

Atss-Net: Target Speaker Separation via Attention-based Neural Network

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation


A learning environment for man-made Interactive Fiction games.

Interactive Fiction Games: A Colossal Adventure

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Playing Text-Based Games with Common Sense

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents

Modeling Worlds in Text

Situated Language Learning via Interactive Narratives

Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning

Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games