Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

Classification with costly features as a sequential decision-making problem

Generator Assisted Mixture of Experts For Feature Acquisition in Batch


A Python port, including numerous model updates, of the Coastal Impacts and Adaptation Model

Estimating Global Damages from Sea Level Rise with the Coastal Impact and Adaptation Model (CIAM)


NewsQA: A Machine Comprehension Dataset

Learning to Ask: Neural Question Generation for Reading Comprehension

Neural Question Generation from Text: A Preliminary Study

Diversify Question Generation with Retrieval-Augmented Style Transfer


ExaRanker: Synthetic Explanations Improve Neural Rankers

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

ExaRanker: Explanation-Augmented Neural Ranker

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs


PyTorch implementation of VoxResNet, Attention U-Net and V-Net

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation


Realtime, Accurate Background Changer, Portrait Segmentation, Portrait Matting, Background Removal for Android

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Robust Graph Learning From Noisy Data

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation


Correlation-consistent Gaussian basis sets for solids made simple

Ground-State Properties of Metallic Solids from Ab Initio Coupled-Cluster Theory.

Double-Hybrid DFT Functionals for the Condensed Phase: Gaussian and Plane Waves Implementation and Evaluation

Integral-direct Hartree-Fock and Møller-Plesset Perturbation Theory for Periodic Systems with Density Fitting: Application to the Benzene Crystal

Exploring cesium-tellurium phase space via high-throughput calculations beyond semi-local density-functional theory.

Optical Properties of Defects in Solids via Quantum Embedding with Good Active Space Orbitals

Ab Initio Quantum-Mechanical Predictions of Semiconducting Photocathode Materials

Accurate, fast and generalisable first principles simulation of aqueous lithium chloride

Ab initio quantum many-body description of superconducting trends in the cuprates

Ab initio surface chemistry with chemical accuracy


It contains a curated list of awesome RISC-V Resources.

Minimizing Computation in Convolutional Neural Networks

GhostRider

International Conference on Architectural Support for Programming Languages and Operating Systems

The Case for RISC-V in Space

RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors


PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"

F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning


standalone pedsim library (pedestrian simulator using social force model)

A Real-Time Approach for Chance-Constrained Motion Planning With Dynamic Obstacles

International Conference on Robotics and Automation

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

Improving Pedestrian Prediction Models With Self-Supervised Continual Learning

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation

Iterative Program Synthesis for Adaptable Social Navigation

Simulators for Mobile Social Robots: State-of-the-Art and Challenges

Learning Sensor Placement from Demonstration for UAV networks

Tight Collision Probability for UAV Motion Planning in Uncertain Environment


Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation


Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense


Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"

Variational image compression with a scale hyperprior

Joint Autoregressive and Hierarchical Priors for Learned Image Compression


A journey into Convolutional Neural Network visualization

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

International Journal of Computer Vision

Learning Deep Features for Discriminative Localization

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps


Vision

Deeper Depth Prediction with Fully Convolutional Residual Networks

Benchmarking Single-Image Dehazing and Beyond

O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images

I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images


BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks

A survey of dynamic graph neural networks


Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

Deep Residual Learning for Image Recognition

Continual Learning Through Synaptic Intelligence

Continual learning with hypernetworks

Adaptive Orthogonal Projection for Batch and Online Continual Learning

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Continual Learning Based on OOD Detection and Task Masking

Graceful Degradation and Related Fields


Code for "From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation".

Zero-Shot Semantic Segmentation

Context-aware Feature Generation for Zero-shot Semantic Segmentation

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


Image colorization with generative adversarial networks on the CIFAR10 dataset.

Spectral Normalization for Generative Adversarial Networks

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


Theory and operational rules for the discrete Hankel transform

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

Matlab code for the Discrete Hankel Transform

The Discrete Hankel Transform


Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Learning Fast Adaptation with Meta Strategy Optimization

Policy Transfer with Strategy Optimization

Fast Model-based Policy Search for Universal Policy Networks


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

Exoplanet Statistics and Theoretical Implications

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

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

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

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

A Joint Mass-Radius-Period Distribution of Exoplanets

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

Evaluating the Evidence for Water World Populations Using Mixture Models

The Demographics of Kepler's Earths and Super-Earths into the Habitable Zone


node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling


CORE: COnsistent REpresentation Learning for Face Forgery Detection, CVPRW 22

CORE: Consistent Representation Learning for Face Forgery Detection

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


An integration of JoernTI's CodeTIDAL5 neural type inference model.

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Learning Type Inference for Enhanced Dataflow Analysis


Release detailed information for the benchmarking algorithms

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

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation


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

Fast Gaussian Process Regression for Big Data

Gap‐Filled Multivariate Observations of Global Land–Climate Interactions

Zenodo (CERN European Organization for Nuclear Research)

CLIMFILL: A Framework for Intelligently Gap-filling Earth Observations


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

Probabilistic Inductive Logic Programming Based on Answer Set Programming

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

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


A Conflict-Based Search Framework for Multiobjective Multiagent Path Finding

Subdimensional Expansion for Multi-Objective Multi-Agent Path Finding

Multi-objective Conflict-based Search Using Safe-interval Path Planning


KPQA is an evaluation metric for generative question answering. (NAACL-21)

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

SCAI-QReCC Shared Task on Conversational Question Answering

Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models


WordBias: Visualizing Intersectional Social biases encoded in Word Embeddings

WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings

STILE: Exploring and Debugging Social Biases in Pre-trained Text Representations

Proceedings of the CHI Conference on Human Factors in Computing Systems

Towards Fair and Explainable AI using a Human-Centered AI Approach


Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

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

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks


Code for MedCPT, a model for zero-shot biomedical information retrieval.

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale
  Clinical Tool Learning


Library for working with 3D rotations in C++

Fused Angles: A Representation of Body Orientation for Balance

Fused Angles and the Deficiencies of Euler Angles

Bipedal Walking with Corrective Actions in the Tilt Phase Space

Tilt Rotations and the Tilt Phase Space


Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

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

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


Benchmark apps for static analyzing inter-component data leakage problem of Android apps.

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques

ACM Transactions on Privacy and Security

A Comprehensive Evaluation of Android ICC Resolution Techniques

µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android

International Conference on Software Engineering

AppAngio: Revealing Contextual Information of Android App Behaviors by API-Level Audit Logs


Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL

Split Q Learning: Reinforcement Learning with Two-Stream Rewards

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook


COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers


Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.

Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation

IEEE Transactions on Aerospace and Electronic Systems

Multiple Target Tracking Based on Sets of Trajectories

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms

Trajectory PHD and CPHD Filters

Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories

Gaussian implementation of the multi-Bernoulli mixture filter

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories

Continuous-Discrete Multiple Target Tracking With Out-of-Sequence Measurements

Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth


Introductory tutorial (approx. 3 hours) covering the setup and querying of an OpenTripPlanner instance

Evaluating the accessibility benefits of the new BRT system during the COVID-19 pandemic in Winnipeg, Canada

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models


Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

MIMO Channel Estimation Using Score-Based Generative Models

Score-Based Generative Models for Robust Channel Estimation

Deep Diffusion Models for Robust Channel Estimation.


A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

CoDesc: A Large Code-Description Parallel Dataset


NeurIPS 2022 - Cross-domain meta-learning competition

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results


The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development


Generating room impulse responses

Broadband doa estimation using convolutional neural networks trained with noise signals

Workshop on Applications of Signal Processing to Audio and Acoustics

ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration

Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise

Deep Ad-hoc Beamforming

Multi-Source DOA Estimation Through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features

Estimation of acoustic echoes using expectation-maximization methods

EURASIP Journal on Audio, Speech, and Music Processing

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays


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

Self-Challenging Improves Cross-Domain Generalization

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

Domain Generalization Emerges from Dreaming


A curated list of awesome HCI + DL

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

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

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

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

Multimodal Deep Learning for Activity and Context Recognition

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

SpotGarbage: Smartphone App to Detect Garbage Using Deep Learning

CNN-based sensor fusion techniques for multimodal human activity recognition

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

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

IEEE transactions on visualization and computer graphics

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

On Attention Models for Human Activity Recognition


Tools to annotate genomes using long read transcriptomics data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

Getting the Entire Message: Progress in Isoform Sequencing

Targeted, High-Resolution RNA Sequencing of Non-coding Genomic Regions Associated With Neuropsychiatric Functions

A chromosome-scale genome assembly and karyotype of the ctenophore Hormiphora californensis

Large-Scale Multiplexing Permits Full-Length Transcriptome Annotation of 32 Bovine Tissues From a Single Nanopore Flow Cell

Chromosome-Level Genome Assembly of the Asian Red-Tail Catfish (Hemibagrus wyckioides)

A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein

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

Integrative Analysis of Nanopore and Illumina Sequencing Reveals Alternative Splicing Complexity in Pig Longissimus Dorsi Muscle

Red and Blue Light Affect the Formation of Adventitious Roots of Tea Cuttings (Camellia sinensis) by Regulating Hormone Synthesis and Signal Transduction Pathways of Mature Leaves

Alternative Splicing Regulation of Glycine-Rich Proteins via Target of Rapamycin-Reactive Oxygen Species Pathway in Arabidopsis Seedlings Upon Glucose Stress


Data, plots and code for constraints on axions, axion-like particles, and dark photons

First results of the CAST-RADES haloscope search for axions at 34.67 μeV

Scalable haloscopes for axion dark matter detection in the 30 μeV range with RADES

Galactic origin of relativistic bosons and XENON1T excess

Journal of Cosmology and Astroparticle Physics

Search for galactic axions with a high-Q dielectric cavity

Cosmological constraints on decaying axion-like particles: a global analysis

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

Strong constraints on decay and annihilation of dark matter from heating of gas-rich dwarf galaxies

New inflationary probes of axion dark matter

Axion echoes from the supernova graveyard

Constraining axion and compact dark matter with interstellar medium heating


Drought SPEI Index Spain Map


A tool for concatenating multiple fasta alignments for supermatrix phylogenetic analyses

Challenging the Importance of Plastid Genome Structure Conservation: New Insights From Euglenophytes

The Whole Genome of Colletes collaris (Hymenoptera: Colletidae): An Important Step in Comparative Genomics of Cellophane Bees

A Chromosome-Scale Genome Assembly of Mitragyna speciosa (Kratom) and the Assessment of Its Genetic Diversity in Thailand

Phylogenomic discernments into Anaerolineaceae thermal adaptations and the proposal of a candidate genus Mesolinea


DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

Variational image compression with a scale hyperprior

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

IEEE Journal on Selected Topics in Signal Processing

Efficient Video Compression via Content-Adaptive Super-Resolution

Neural Video Compression using GANs for Detail Synthesis and Propagation

Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video

Video Coding using Learned Latent GAN Compression


Do What The F*ck You Want To Public License

Collection of Python and other data analysis resources

The ASA's Statement on p-Values: Context, Process, and Purpose

The New Statistics Why and How

Statistical Significance and the Dichotomization of Evidence

Journal of the American Statistical Association

Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses

Ten simple rules to create biological network figures for communication

Multiple comparisons: a tutorial. Part 1. Understanding hypothesis testing

Photodermatology, photoimmunology & photomedicine


Code, documentation, and discussion around the MIMIC-CXR database

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Generating Radiology Reports via Memory-driven Transformer

Cross-modal Memory Networks for Radiology Report Generation

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Progressive Transformer-Based Generation of Radiology Reports

MAIRA-1: A specialised large multimodal model for radiology report generation

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Controllable Chest X-Ray Report Generation from Longitudinal Representations

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation


Creative Commons Attribution 4.0 International

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.


Federated Learning package

Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks

Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning

On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective


daily SARS-CoV2 Re Values for select countries. See https://ibz-shiny.ethz.ch/covid-19-re/ for interactive visualisations.

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2

SARS-CoV-2 shifting transmission dynamics and hidden reservoirs potentially limit efficacy of public health interventions in Italy

SARS-CoV-2 Genetic Diversity and Lineage Dynamics in Egypt during the First 18 Months of the Pandemic

COVIDHunter: COVID-19 Pandemic Wave Prediction and Mitigation via Seasonality Aware Modeling

COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model


LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review


Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19

The DisGeNET knowledge platform for disease genomics: 2019 update

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature


Proximal Policy Optimization Algorithms

Addressing Function Approximation Error in Actor-Critic Methods

AMP

Clipped-Objective Policy Gradients for Pessimistic Policy Optimization


记录GitHub热门仓库，每小时更新，按天归档。

High-Resolution Image Synthesis with Latent Diffusion Models

Masked Autoencoders Are Scalable Vision Learners

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

You Only Learn One Representation: Unified Network for Multiple Tasks

DiffusionDet: Diffusion Model for Object Detection


Countering Adversarial Image using Input Transformations.

Explaining and Harnessing Adversarial Examples

Adversarial Machine Learning at Scale

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Countering Adversarial Images using Input Transformations

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks


Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Constitutional AI: Harmlessness from AI Feedback

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Training Socially Aligned Language Models on Simulated Social Interactions

RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment

InstructGraph: Boosting Large Language Models via Graph-centric
  Instruction Tuning and Preference Alignment

Stable Code Technical Report

Unveiling Safety Vulnerabilities of Large Language Models

CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment


ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

A Survey on Awesome Korean NLP Datasets

mHuBERT-147: A Compact Multilingual HuBERT Model


Implementation of the Deep Frank-Wolfe Algorithm  -- Pytorch

Training Neural Networks for and by Interpolation

Deep Frank-Wolfe For Neural Network Optimization

A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance

A Stochastic Bundle Method for Interpolating Networks


TensorFlow implementation for our paper "Exploration via Hindsight Goal Generation"

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation


(a) (p)erfect (c)ircle? ... tests DNA sequences for overlapping ends, then trims and rejoins, and aligns reads to test the join

Whole genome sequencing of Borrelia miyamotoi isolate Izh-4: reference for a complex bacterial genome

Temperate Bacteriophages from Chronic Pseudomonas aeruginosa Lung Infections Show Disease-Specific Changes in Host Range and Modulate Antimicrobial Susceptibility

Whole-Genome Sequences of Five Acinetobacter baumannii Strains From a Child With Leukemia M2

Prevalence of Shigella boydii in Bangladesh: Isolation and Characterization of a Rare Phage MK-13 That Can Robustly Identify Shigellosis Caused by Shigella boydii Type 1

Complete Genome Sequence of a Multidrug-Resistant Acinetobacter baumannii Isolate Obtained from a Mexican Hospital (Sequence Type 422)

Complete Genome Sequence of a bla(OXA-)(58)-Producing Acinetobacter baumannii Strain Isolated from a Mexican Hospital

Genome Sequence of Enterotoxigenic Escherichia coli Strain FMU073332

Potential of an Isolated Bacteriophage to Inactivate Klebsiella pneumoniae: Preliminary Studies to Control Urinary Tract Infections

The Citizen Phage Library: Rapid Isolation of Phages for the Treatment of Antibiotic Resistant Infections in the UK


Cornell Touchdown natural language navigation and spatial reasoning dataset.

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View

Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation


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

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

COVID-19 Epidemic Forecast in Brazil

Quantifying political influence on COVID-19 fatality in Brazil

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

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

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

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

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

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

Variability scaling and capacity planning in Covid-19 pandemic

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


Next-Generation Sequencing(NGS) toolkits.

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

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

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

International journal of molecular sciences

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

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

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

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

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

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

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


Few scripts facilitating the extraction of info from Repeat Masker .out files

Rapid evolution of piRNA clusters in theDrosophila melanogasterovary

bioRxiv : the preprint server for biology

Structure of the germline genome of Tetrahymena thermophila and relationship to the massively rearranged somatic genome

Improved Genome Assembly and Annotation for the Rock Pigeon (Columba livia)

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Zenodo (CERN European Organization for Nuclear Research)

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

The transposable element-rich genome of the cereal pest Sitophilus oryzae

Nanopore Sequencing and De Novo Assembly of a Black-Shelled Pacific Oyster (Crassostrea gigas) Genome

Emergence and diversification of a highly invasive chestnut pathogen lineage across southeastern Europe

Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads

A chromosome-scale genome assembly of the tomato pathogen Cladosporium fulvum reveals a compartmentalized genome architecture and the presence of a dispensable chromosome


Python client for retrieving the latest data on the EU ETS market and its participants


Data and scripts used in the oneKP capstone analyses

One thousand plant transcriptomes and the phylogenomics of green plants

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

Diploid-dominant life cycles characterize the early evolution of Fungi

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

Compositional shifts associated with major evolutionary transitions in plants

LocoGSE, a sequence-based genome size estimator for plants


This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

Fake News Detection on Social Media: A Data Mining Perspective

CSI: A Hybrid Deep Model for Fake News Detection

International Conference on Information and Knowledge Management

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detection and Resolution of Rumours in Social Media: A Survey

Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Beyond News Contents: The Role of Social Context for Fake News Detection

MVAE: Multimodal Variational Autoencoder for Fake News Detection

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

Rumor Detection with Hierarchical Social Attention Network

Detect Rumor and Stance Jointly by Neural Multi-task Learning


CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.

Explainable AI Methods - A Brief Overview

Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy


A collection of Meta-Reinforcement Learning algorithms in PyTorch

A Simple Neural Attentive Meta-Learner

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Learning to reinforcement learn

Meta-Gradient Reinforcement Learning


Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

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

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


Excess mortality during COVID-19 pandemic

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

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

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

International journal of environmental research and public health


This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class
  Incremental Learning


Roman CGI direct imaging performance in the context of current instruments and known planets.

The Nancy Grace Roman Space Telescope Coronagraph Instrument (CGI) Technology Demonstration.

Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave

The Warm Neptune GJ 3470b Has a Polar Orbit

Radial Velocity Discovery of an Eccentric Jovian World Orbiting at 18 au

Direct Imaging and Spectroscopy of Extrasolar Planets

Lessons for WFIRST CGI from ground-based high-contrast systems

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

Flight mask designs of the Roman Space Telescope coronagraph instrument

Techniques and Instrumentation for Detection of Exoplanets X

The Possible Astrometric Signature of a Planetary-mass Companion to the Nearby Young Star TW Piscis Austrini (Fomalhaut B): Constraints from Astrometry, Radial Velocities, and Direct Imaging

Optical and Near-infrared View of Planet-forming Disks and Protoplanets

Nancy Grace Roman Space Telescope Coronagraph Instrument Overview and Status

Key Technologies for the Wide Field Infrared Survey Telescope Coronagraph Instrument


Multi Comparison Matrix: A long term approach to benchmark evaluations

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression

Finding Foundation Models for Time Series Classification with a PreText Task

aeon: a Python toolkit for learning from time series

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification


Use cloud radiative kernels to compute cloud-induced radiation anomalies

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth

Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

Insights from a refined decomposition of cloud feedbacks

An Analysis of the Short-Term Cloud Feedback Using MODIS Data


[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Temporal Attentive Alignment for Video Domain Adaptation

Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation


Code and datasets for the Tsetlin Machine

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

On the Convergence of Tsetlin Machines for the XOR Operator

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines

A relational tsetlin machine with applications to natural language understanding


How Powerful are Graph Neural Networks?

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

Relational Pooling for Graph Representations

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

State of the Art and Potentialities of Graph-level Learning


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


Reinforcement Learning Server

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

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

The Springer series on challenges in machine learning


Streaming sparse Gaussian process approximations

Streaming Sparse Gaussian Process Approximations

Kernel Interpolation for Scalable Online Gaussian Processes

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Continual Multi-task Gaussian Processes

Adaptive Sparse Gaussian Process


Deep Residual Learning for Image Recognition

Densely Connected Convolutional Networks

Big Transfer (BiT): General Visual Representation Learning

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


bits of software for manipulating and analysing brain images in the nifti format

Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis

Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects

Eigenvector centrality dynamics are related to Alzheimer’s disease pathological changes in non-demented individuals

An examination of the relationships between attention/deficit hyperactivity disorder symptoms and functional connectivity over time

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Load-dependent inverted U–shaped connectivity of the default mode network in schizophrenia during a working-memory task: evidence from a replication functional MRI study

Journal of psychiatry & neuroscience : JPN

Altered Functional Network Associated With Cognitive Performance in Early Parkinson Disease Measured by Eigenvector Centrality Mapping

Alteration of functional connectivity network in population of objectively-defined subtle cognitive decline

Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles

Eigenvector centrality and its variability over time are promising indicators of alterations in brain function due to early amyloid deposition


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

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

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

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


Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling (ACL-2020)

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling

Robust Zero-Shot Cross-Domain Slot Filling with Example Values


A generative model for mesoscale structure in multilayer networks implemented in MATLAB

Robust dynamic community detection with applications to human brain functional networks

Relating modularity maximization and stochastic block models in multilayer networks

Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization


A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines

CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profiling

GraphGR: A graph neural network to predict the effect of pharmacotherapy on the cancer cell growth

Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer


The hourly demand and supply of electricity in the US


Preferential Subspace Identification Algorithm

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)

Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior


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

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Curiosity-Driven Exploration via Latent Bayesian Surprise

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

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


How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?

Generative power of a protein language model trained on multiple sequence alignments

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

In vivo functional phenotypes from a computational epistatic model of evolution


Machine Learning applied to Cosmological Simulations

Machine learning and cosmological simulations – II. Hydrodynamical simulations

Monthly Notices of the Royal Astronomical Society

Machine Learning and Cosmological Simulations I: Semi-Analytical Models

Approximations to galaxy star formation rate histories: properties and uses of two examples


Source code for "Oscillators that sync and swarm" paper -- https://www.nature.com/articles/s41467-017-01190-3

Collective behaviour of swarmalators on a 1D ring

Pinning in a system of swarmalators

Sync and swarm: solvable model of non-identical swarmalators

Solvable model of driven matter with pinning


一份中文综述文章列表（自然语言处理&机器学习）

A Survey on Knowledge Graph-Based Recommender Systems

Knowledge Graph Construction Techniques

Survey on Techniques, Applications and Security of Machine Learning Interpretability

Text Emotion Analysis: A Survey

Research Review of Knowledge Graph and Its Application in Medical Domain

Recent Advances in Neural Machine Translation

Network representation learning: an overview

A Survey on Sentiment Classification

Recent Advances in Bayesian Machine Learning

Survey on Automatic Text Summarization


Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

Graph-based Molecular Representation Learning

Learning Invariant Molecular Representation in Latent Discrete Space


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

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

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of Cosmology and Astroparticle Physics

Studying large-scale structure probes of modified gravity with COLA

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

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

Revisiting Vainshtein screening for fast N-body simulations

Sesame: A power spectrum emulator pipeline for beyond-ΛCDM models

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


Unified benchmark and model for causal text mining

Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022

UniCausal: Unified Benchmark and Repository for Causal Text Mining

Constructing and Interpreting Causal Knowledge Graphs from News


A WEKA package for analyzing emotion and sentiment of tweets.

WASSA-2017 Shared Task on Emotion Intensity

Emotion Intensities in Tweets

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

North American Chapter of the Association for Computational Linguistics

Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets

Empirical Methods in Natural Language Processing

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction

KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

International Conference on Computational Linguistics


ESEC/FSE'21: Prediction-Preserving Program Simplification

A Convolutional Attention Network for Extreme Summarization of Source Code

Neural Program Repair by Jointly Learning to Localize and Repair

Understanding neural code intelligence through program simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Syntax-guided program reduction for understanding neural code intelligence models

Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Artifact for Article (SIVAND): Understanding Neural Code Intelligence Through Program Simplification


Chatting-Day's Dialogue State Tracking (DST)

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

Efficient Dialogue State Tracking by Selectively Overwriting Memory

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

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


R-package for elastic net regularized regression with zero sum constraint

Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances

Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints

Identification of gene pairs through penalized regression subject to constraints

A decomposition method for lasso problems with zero-sum constraint

Data Normalization in NMR-based Metabolomics


An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios

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

Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets

Validating Seed Data Samples for Synthetic Identities – Methodology and Uniqueness Metrics

Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition

Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets

Toward Robust Facial Authentication for Low-Power Edge-AI Consumer Devices

Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects


pytorch version of neural collaborative filtering

Neural Collaborative Filtering

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations


DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

DSAC - Differentiable RANSAC for Camera Localization

Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC

Rigidity Preserving Image Transformations and Equivariance in Perspective


The amazing will normalize non-standard Finnish/Swedish and dialectalize standard Finnish!

Dialect Text Normalization to Normative Standard Finnish

Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity

Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography

Normalization of Different Swedish Dialects Spoken in Finland

Proceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities

The Current State of Finnish NLP

Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets

Workshop on NLP for Similar Languages, Varieties and Dialects

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing


Geom-GCN: Geometric Graph Convolutional Networks

Adaptive Universal Generalized PageRank Graph Neural Network

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Deformable Graph Convolutional Networks


An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

Knowledge Graph Embedding with Hierarchical Relation Structure

ESA: Entity Summarization with Attention

Leveraging Entity-Type Properties in the Relational Context for Knowledge Graph Embedding

IEICE Transactions on Information and Systems


genetic distance plotting for recombination events analysis

RDP4: Detection and analysis of recombination patterns in virus genomes

Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource

Analysis and insights into recombination signals in lumpy skin disease virus recovered in the field

Comparative Genomics and Characterization of SARS-CoV-2 P.1 (Gamma) Variant of Concern From Amazonas, Brazil

Recan: Python tool for analysis of recombination events in viral genomes


Non-Parametric Calibration for Classification (AISTATS 2020)

Adaptive Label Smoothing

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration


Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

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

How to Index Item IDs for Recommendation Foundation Models

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

Recommender Systems with Generative Retrieval

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Stealthy Attack on Large Language Model based Recommendation

eCeLLM: Generalizing Large Language Models for E-commerce from
  Large-scale, High-quality Instruction Data

Aligning Large Language Models with Recommendation Knowledge


RTG Tools: Utilities for accurate VCF comparison and manipulation

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

An open resource for accurately benchmarking small variant and reference calls

Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology

SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

Assessment of human diploid genome assembly with 10x Linked-Reads data

Performance of methods to detect genetic variants from bisulphite sequencing data in a non‐model species

Identification and functional characterization of two novel mutations in KCNJ10 and PI4KB in SeSAME syndrome without electrolyte imbalance

DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework

Computational and mathematical methods in medicine


A package for dynamically modeling broad-line regions in active galactic nucleus, analyzing reverberation-mapping and spectro-astrometric data, and measuring the central black hole mass

Kinematics of the Broad-line Region of 3C 273 from a 10 yr Reverberation Mapping Campaign

Supermassive Black Holes with High Accretion Rates in Active Galactic Nuclei. VIII. Structure of the Broad-line Region and Mass of the Central Black Hole in Mrk 142

Geometric Distances of Quasars Measured by Spectroastrometry and Reverberation Mapping: Monte Carlo Simulations

The Astrophysical Journal Supplement Series

Spectroastrometric Reverberation Mapping of Broad-line Regions

Spectroastrometry and Reverberation Mapping (SARM) of Active Galactic
  Nuclei. I. The Hβ Broad-line Region Structure and Black Hole Mass of
  Five Quasars


PECANNs: Physics and Equality Constrained Artificial Neural Networks

Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion

An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations

A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks


Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

The Entropy Enigma: Success and Failure of Entropy Minimization

What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?


On Calibration of Modern Neural Networks

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

Linear Connectivity Reveals Generalization Strategies


Systematic ProtEin AnnotatoR

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

Twelve years of SAMtools and BCFtools

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies

Sustainable data analysis with Snakemake

Using Drosophila melanogaster as a Model for Genotoxic Chemical Mutational Studies with a New Program, SnpSift

Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies

Prospective mapping of viral mutations that escape antibodies used to treat COVID-19

Bioconda: sustainable and comprehensive software distribution for the life sciences.

Complete map of SARS-CoV-2 RBD mutations that escape the monoclonal antibody LY-CoV555 and its cocktail with LY-CoV016


ADAPT-VQE simulation code

A Quantum Computing View on Unitary Coupled Cluster Theory

Simulating periodic systems on quantum computer

An efficient adaptive variational quantum solver of the Schrödinger equation based on reduced density matrices.

Accurate quantum simulation of molecular ground and excited states with a transcorrelated Hamiltonian

Symmetry Breaking Slows Convergence of the ADAPT Variational Quantum Eigensolver

Neutron-proton pairing correlations described on quantum computers


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

A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting

IEEE transactions on neural networks and learning systems

On the Limitations of Stochastic Pre-processing Defenses


A Galaxy-Galaxy Lensing Python Package

Stringent σ8 constraints from small-scale galaxy clustering using a hybrid MCMC plus emulator framework

Monthly notices of the Royal Astronomical Society

Lensing without borders – I. A blind comparison of the amplitude of galaxy–galaxy lensing between independent imaging surveys

The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects

The Nature of Low-surface-brightness Galaxies in the Hyper Suprime-Cam Survey

Galaxy Clustering in the Mira-Titan Universe. I. Emulators for the Redshift Space Galaxy Correlation Function and Galaxy–Galaxy Lensing

DESI and DECaLS (D&D): galaxy–galaxy lensing measurements with 1 per cent survey and its forecast


IST'21 & SANER'22: Semantic-Preserving Program Transformations

A Convolutional Attention Network for Extreme Summarization of Source Code

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations

Testing Neural Program Analyzers

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code


Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Anomaly Detection in Partially Observed Traffic Networks

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

International Conference on Information and Knowledge Management

Adaptive Sampling for Rapidly Matching Histograms

Statistical inference on the Hilbert sphere with application to random densities


An FFTLog code for efficiently computing integrals containing 1 spherical Bessel function or Bessel function or its 1st/2nd derivative.

Beyond Limber: efficient computation of angular power spectra for galaxy clustering and weak lensing

Journal of Cosmology and Astroparticle Physics

Dark Energy Survey Year 3 results: galaxy clustering and systematics treatment for lens galaxy samples

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample

Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation

Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey

Monthly Notices of the Royal Astronomical Society

Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies

The N5K Challenge: Non-Limber Integration for LSST Cosmology

The Dark Energy Survey Year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering

Data-driven Cosmology from Three-dimensional Light Cones


Tools for solar system dynamics and observations.

No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects

The DECam Ecliptic Exploration Project (DEEP). V. The Absolute Magnitude Distribution of the Cold Classical Kuiper Belt

The DECam Ecliptic Exploration Project (DEEP). III. Survey Characterization and Simulation Methods

Photometric Properties of Jupiter Trojans Detected by the Dark Energy Survey


Proton Exchange Membrane (PEM) Fuel Cell Dataset

Dataset of Standard Tests of Nafion 112 Membrane and Membrane Electrode Assembly (MEA) Activation Tests of Proton Exchange Membrane (PEM) Fuel Cell


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

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

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

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


Microassembly based somatic variant caller for NGS data

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Lancet: genome-wide somatic variant calling using localized colored DeBruijn graphs

Enhancing sensitivity and controlling false discovery rate in somatic indel discovery


Tool to build force field input files for molecular simulation

Martini Coarse-Grained Models of Imidazolium-Based Ionic Liquids: From Nanostructural Organization to Liquid-Liquid Extraction

Resolving dispersion and induction components for polarisable molecular simulations of ionic liquids

Exfoliation of graphene and fluorographene in molecular and ionic liquids

Low-Temperature Phase Transitions of the Ionic Liquid 1-Ethyl-3-methylimidazolium Dicyanamide

Molecular Dynamics of Ionic Liquids from Fast-Field Cycling NMR and Molecular Dynamics Simulations

Charge Transport in Water-NaCl Electrolytes with Molecular Dynamics Simulations

Zenodo (CERN European Organization for Nuclear Research)

Ion Pair Free Energy Surface as a Probe of Ionic Liquid Structure

Unravelling free volume in branched-cation ionic liquids based on silicon

Room temperature ionic liquids with two symmetric ions


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

Domain wall QCD with physical quark masses

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

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

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

The decay constants ��_�� and ��_��_�� in the continuum limit of ��_��=2+1 domain wall lattice QCD

Lattice continuum-limit study of nucleon parton quasidistribution functions

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

Fourier accelerated conjugate gradient lattice gauge fixing

Improved lattice fermion action for heavy quarks

An exploratory study of heavy domain wall fermions on the lattice

Diquark properties from full QCD lattice simulations


Library for fast text representation and classification.

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models


Port of Aleph to SWI-Prolog

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

White-box Induction From SVM Models: Explainable AI with Logic Programming

Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems


RuREBus shared task repo

RUREBUS-2020 SHARED TASK: RUSSIAN RELATION EXTRACTION FOR BUSINESS

Kompʹûternaâ lingvistika i intellektualʹnye tehnologii

So What's the Plan? Mining Strategic Planning Documents


Wind energy library, python and matlab tools for wind turbines analyses


Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Towards Impartial Multi-task Learning

International Conference on Learning Representations


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


Useful bioinformatic scripts

Genomics of rapid ecological divergence and parallel adaptation in four tidal marsh sparrows

Demography and Natural Selection Have Shaped Genetic Variation in the Widely Distributed Conifer Norway Spruce (Picea abies)

Chromosome-level genome assembly of hadal snailfish reveals mechanisms of deep-sea adaptation in vertebrates


Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.

PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time

Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games

Automatic verification of concurrent stochastic systems

Multi-player Equilibria Verification for Concurrent Stochastic Games

Probabilistic Model Checking for Strategic Equilibria-based Decision Making: Advances and Challenges


Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.

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

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

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference


Filtering and trimming of long read sequencing data

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

A preliminary study on the potential of Nanopore MinION and Illumina MiSeq 16S rRNA gene sequencing to characterize building-dust microbiomes

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Dynamic Transcriptome Sequencing of Bovine Alphaherpesvirus Type 1 and Host Cells Carried Out by a Multi-Technique Approach

Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing

A Comprehensive Multi-Omic Approach Reveals a Relatively Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda

A genome resource for Acacia, Australia’s largest plant genus


A Python toolkit for (simulation-based) inference and the mechanization of science.

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

Benchmarking Simulation-Based Inference

Error-guided likelihood-free MCMC


This is a package developed in the Mesoscience Lab to perform Hierarchy of Pure State (HOPS) calculations using an adaptive basis that provides size-invariant scaling for large systems.

Formally exact simulations of mesoscale exciton dynamics in molecular materials

Simulating optical linear absorption for mesoscale molecular aggregates: An adaptive hierarchy of pure states approach.

Dynamics of a strongly coupled quantum heat engine -- computing bath
  observables from the hierarchy of pure states


Simple model-fitting tools

Similarities and differences in spatial and non-spatial cognitive maps

The rational use of causal inference to guide reinforcement learning strengthens with age

Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating

Computational optimization of associative learning experiments

The self and the Bayesian brain: Testing probabilistic models of body ownership through a self-localization task

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


A macOS menu bar application that displays live air quality data from the nearest sensor station.


NAS-Bench-201 API and Instruction

Deep Residual Learning for Image Recognition

Aggregated Residual Transformations for Deep Neural Networks

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

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

On the insufficiency of existing momentum schemes for Stochastic Optimization

How Powerful are Performance Predictors in Neural Architecture Search?

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

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

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

Training Stronger Baselines for Learning to Optimize


A free and fast perovskite solar cell simulator with coupled ion vacancy and charge carrier dynamics in one dimension. Read the Wiki to find out more, or see our website for more information!


A top-down/breadth-first decision diagram manipulation framework

Exact Computation of Influence Spread by Binary Decision Diagrams

Efficient Network Reliability Computation in Uncertain Graphs

A Flow-Based Formulation for Parallel Machine Scheduling Using Decision Diagrams

International Competition on Graph Counting Algorithms 2023

Finding well-optimized special quasirandom structures with decision diagram


Deprecated repository for "Deep Learning with Topological Signatures"

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis


Data on CO2 and greenhouse gas emissions by Our World in Data

Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study

International journal of environmental research and public health

Economic Activities and Management Issues for the Environment: An Environmental Kuznets Curve (EKC) and STIRPAT Analysis in Turkey

CO2 emissions of nuclear power and renewable energies: a statistical analysis of European and global data

Practical Vitality of Green Bonds and Economic Benefits

Review of business and economics studies

Multilevel intergroup conflict at the core of climate (in)justice: Psychological challenges and ways forward

Wiley Interdisciplinary Reviews Climate Change

Cluster-Specific Predictions with Multi-Task Gaussian Processes


Virtual Imaging Clinical Trial for Regulatory Evaluation

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories

Deep learning in photoacoustic imaging: a review

SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics

In situ tumor model for longitudinal in silico imaging trials


Neuroimgaing data processing pipelines used in the lab

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

A functional connectome phenotyping dataset including cognitive state and personality measures

Gradients of connectivity distance are anchored in primary cortex

The age-dependent relationship between resting heart rate variability and functional brain connectivity

Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning


Public release items for the DARPA Space/Time Analysis for Cybersecurity (STAC) program

Statistical Model Checking for Hyperproperties

Quantitative Mitigation of Timing Side Channels

Data-Driven Debugging for Functional Side Channels

Guaranteeing Timed Opacity using Parametric Timed Model Checking

ACM Transactions on Software Engineering and Methodology

Parametric Timed Model Checking for Guaranteeing Timed Opacity

Efficient Detection and Quantification of Timing Leaks with Neural Networks

Configuring Timing Parameters to Ensure Execution-Time Opacity in Timed Automata

Electronic Proceedings in Theoretical Computer Science

Incremental Adaptive Attack Synthesis


A package for ontology engineering with deep learning and language models.

BERTMap: A BERT-based Ontology Alignment System

Contextual Semantic Embeddings for Ontology Subsumption Prediction

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Language Model Analysis for Ontology Subsumption Inference

DeepOnto: A Python Package for Ontology Engineering with Deep Learning

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

Contextualized Structural Self-supervised Learning for Ontology Matching


This is a repository is an overarching numerical framework for event-by-event simulations of relativistic heavy-ion collisions

Running the gamut of high energy nuclear collisions

Beam-energy dependence of the production of light nuclei in Au + Au collisions

3D structure of anisotropic flow in small collision systems at energies available at the BNL Relativistic Heavy Ion Collider

Viscosities of the Baryon-Rich Quark-Gluon Plasma from Beam Energy Scan Data

Applications of emulation and Bayesian methods in heavy-ion physics


deepMiner webminer proxy (update for cryptoNight R)

WebAssembly Diversification for Malware Evasion

Browser-based Crypto Mining and EU Data Protection and Privacy Law: A Critical Assessment and Possible Opportunities for the Monetisation of Web Services

The Journal of The British Blockchain Association

WASMixer: Binary Obfuscation for WebAssembly


An open source biological wastewater treatment simulation software...

BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration


1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog

Global genetic heterogeneity in adaptive traits

Polygenic adaptation of rosette growth in Arabidopsis thaliana


Tools for LOFAR solar data reduction

Imaging of the Quiet Sun in the Frequency Range of 20–80 MHz

Interferometric Imaging, and Beam-Formed Study of a Moving Type-IV Radio Burst with LOFAR


SKIRT version 7 -- 3D dust radiative transfer

SKIRT: An advanced dust radiative transfer code with a user-friendly architecture

Far-infrared and dust properties of present-day galaxies in the EAGLE simulations

DustPedia: A Definitive Study of Cosmic Dust in the Local Universe

Publications of the Astronomical Society of the Pacific

SKIRT: The design of a suite of input models for Monte Carlo radiative transfer simulations

Large and small-scale structures and the dust energy balance problem in spiral galaxies

SKIRT: Hybrid parallelization of radiative transfer simulations


The Land Matrix is a global and independent land monitoring initiative that promotes transparency and accountability in decisions over land and investment. The website is our Global Observatory - an open tool for collecting and visualising information about large-scale land acquisitions.


[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

SpreadsheetBench: Towards Challenging Real World Spreadsheet
  Manipulation


Libraries to analyze numerical simulations

The Quijote Simulations

The Astrophysical Journal Supplement Series

Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure.

User’s guide to extracting cosmological information from line-intensity maps

Super-resolution emulator of cosmological simulations using deep physical models

Monthly notices of the Royal Astronomical Society

Statistical Properties of Paired Fixed Fields

On the impact of baryons on the halo mass function, bias, and cluster cosmology

From Dark Matter to Galaxies with Convolutional Networks

Baryonic effects on the matter bispectrum

Anisotropic halo assembly bias and redshift-space distortions

Journal of Cosmology and Astroparticle Physics

What can we learn by combining the skew spectrum and the power spectrum?


GET_HOMOLOGUES: a versatile software package for pan-genome analysis

Analysis of Plant Pan-Genomes and Transcriptomes with GET_HOMOLOGUES-EST, a Clustering Solution for Sequences of the Same Species

Pan‐genome: A promising resource for noncoding RNA discovery in plants

Analysis of Whole-Genome Sequences of Pathogenic Gram-Positive and Gram-Negative Isolates from the Same Hospital Environment to Investigate Common Evolutionary Trends Associated with Horizontal Gene Exchange, Mutations and DNA Methylation Patterning


2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Thickness bound for nonlocal wide-field-of-view metalenses

Fast multi-source nanophotonic simulations using augmented partial factorization

Transmission Efficiency Limit for Nonlocal Metalenses

Fast Multichannel Inverse Design through Augmented Partial Factorization

Full-wave solver for massively multi-channel optics using augmented partial factorization

Numerical experiments of tomographic optical imaging inside scattering media

Wavefront shaping simulations with augmented partial factorization


Datasets with baselines for offline multi-agent reinforcement learning.

MADiff: Offline Multi-agent Learning with Diffusion Models

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

The Spectral Species Concept in Living Color


pathfindR: Enrichment Analysis Utilizing Active Subnetworks

pathfindR: An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks

pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks

Deep Proteome Profiling Reveals Signatures of Age and Sex Differences in Paw Skin and Sciatic Nerve of Naïve Mice

The microRNA-mediated gene regulatory network in the hippocampus and hypothalamus of the aging mouse


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

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


Implementation of the HYPE hypergraph partitioner.

High-Quality Hypergraph Partitioning

HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion

Shared-Memory n-level Hypergraph Partitioning


Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

On the Convergence and Calibration of Deep Learning with Differential Privacy.


Scripts for building a geo-located web corpus using Common Crawl data

Mapping languages: the Corpus of Global Language Use

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Mapping Languages and Demographics with Georeferenced Corpora


Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM

Impact of years of blindness on neural circuits underlying auditory spatial representation

Stronger responses in the visual cortex of sighted compared to blind individuals during auditory space representation

Neural correlates of proprioceptive upper limb position matching

Visual representations of time elicit early responses in human temporal cortex

Temporal cues trick the visual and auditory cortices mimicking spatial cues in blind individuals

Years of Blindness Lead to “Visualize” Space Through Time

Peripheral sounds elicit stronger activity in contralateral occipital cortex in blind than sighted individuals

Role of sensorimotor areas in early detection of motor errors: An EEG and TMS study


A Julia wrapper of iminuit. iminuit is a Python interface to the C++ version of the function minimization and error analysis package MINUIT.

Coupled-Channel Interpretation of the LHCb Double- J / ψ Spectrum and Hints of a New State Near the J / ψ J / ψ Threshold

Strange molecular partners of the
Zc(3900)
 and
Zc(4020)

Two-meson form factors in unitarized chiral perturbation theory

Can the two-pole structure of the D_0^*(2300) be understood from recent lattice data?


Variational Bayes HMM over x-vectors diarization

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

Analysis of the BUT Diarization System for VoxConverse Challenge

BUT System Description for DIHARD Speech Diarization Challenge 2019

Magnitude-aware Probabilistic Speaker Embeddings

Separation Guided Speaker Diarization in Realistic Mismatched Conditions

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

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

ALLIES: a Speech Corpus for Segmentation, Speaker Diarization Speech Recognition and Speaker Change detection

International Conference on Language Resources and Evaluation

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

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


The schedule of the seminar

Large-scale cluster management at Google with Borg

Borg, Omega, and Kubernetes

The dataflow model

Stateful Scalable Stream Processing at LinkedIn.

The Snowflake Elastic Data Warehouse

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

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

State Management in Apache Flink (R) Consistent Stateful Distributed Stream Processing

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Cloudburst: Stateful Functions-as-a-Service


Github for files currently published in the IPD-IMGT/HLA FTP Directory hosted at the European Bioinformatics Institute

Connecting MHC-I-binding motifs with HLA alleles via deep learning

TypeLoader2: Automated submission of novel HLA and killer‐cell immunoglobulin‐like receptor alleles in full length

Assessment of HLA-DPB1 genetic variation using an HLA-DP tool and its implications in clinical transplantation

SpecHLA enables full-resolution HLA typing from sequencing data


Snow and ice albedo modelling in Python

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

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

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

A Flexible Parameterization for Shortwave Optical Properties of Ice Crystals*

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

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

Glacier algae accelerate melt rates on the western Greenland Ice Sheet


Time-Series Anomaly Detection Service at Microsoft

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

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

Constructing Large-Scale Real-World Benchmark Datasets for AIOps


elastic fda python code

Active Licking Shapes Cortical Taste Coding


Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Collecting complex activity datasets in highly rich networked sensor environments

International Conference on Networked Sensing Systems

Transition-Aware Human Activity Recognition Using Smartphones

Smart Devices are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition

SENSYS'15: PROCEEDINGS OF THE 13TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS

On-body localization of wearable devices: An investigation of position-aware activity recognition

IEEE International Conference on Pervasive Computing and Communications

Wearables in the wet lab

Tutorial on Deep Learning for Human Activity Recognition


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

The Benefits of CMB Delensing

Improving constraints on models addressing the Hubble tension with CMB delensing

Beyond Fisher forecasting for cosmology

CMB-HD as a Probe of Dark Matter on Sub-Galactic Scales

The impact of cross-covariances between the CMB and reconstructed lensing power

Improving Constraints on Inflation with CMB Delensing


FluSight Forecast Submissions

Prediction of infectious disease epidemics via weighted density ensembles

Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016

Near-term forecasts of influenza-like illness An evaluation of autoregressive time series approaches

Accurate regional influenza epidemics tracking using Internet search data

The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research

Improving probabilistic infectious disease forecasting through coherence


Lectures for INFO8010 Deep Learning, ULiège

Deep Residual Learning for Image Recognition

Attention Is All You Need

YOLO9000: Better, Faster, Stronger

Denoising Diffusion Probabilistic Models

High-Resolution Image Synthesis with Latent Diffusion Models

Understanding deep learning requires rethinking generalization

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Evaluating Large Language Models Trained on Code

Do Deep Generative Models Know What They Don't Know?

Discovering Symbolic Models from Deep Learning with Inductive Biases


Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

Concealed Object Detection

Advances in Deep Concealed Scene Understanding

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges


Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z > 7

Enhanced Global Signal of Neutral Hydrogen Due to Excess Radiation at Cosmic Dawn

Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal

Data Analysis for Precision 21 cm Cosmology

A Simplified, Lossless Reanalysis of PAPER-64

Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization

Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn

Monthly Notices of the Royal Astronomical Society

Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC

High mass X-ray binaries: Beacons in a stormy universe

Proceedings of the International Astronomical Union. International Astronomical Union


GAP Benchmark Suite

The GAP Benchmark Suite

SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface

Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics

Zenodo (CERN European Organization for Nuclear Research)

DGAP: Efficient Dynamic Graph Analysis on Persistent Memory

Lightweight Frequency-Based Tiering for CXL Memory Systems

MATRYOSHKA: Non-Exclusive Memory Tiering via Transactional Page Migration


APT & CyberCriminal Campaign Collection

EXTRACTOR: Extracting Attack Behavior from Threat Reports

MALOnt: An Ontology for Malware Threat Intelligence

Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis.

Advanced Persistent Threat Group Correlation Analysis via Attack Behavior Patterns and Rough Sets


Code for "On the Utility of Learning about Humans for Human-AI Coordination"

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

A Hierarchical Approach to Population Training for Human-AI Collaboration

Select to Perfect: Imitating desired behavior from large multi-agent data


CL2QCD is a Lattice QCD application based on OpenCL, applicable to CPUs and GPUs.

N f =2 QCD chiral phase transition with Wilson fermions at zero and imaginary chemical potential

Roberge-Weiss transition in N f =2 QCD with Wilson fermions and N τ =6

The deconfinement critical point of lattice QCD with N_ f=2 Wilson fermions

Updates on the Columbia plot and its extended/alternative versions

Finite size and cut-off effects on the Roberge-Weiss transition in
Nf=2
 QCD with staggered fermions

BaHaMAS A Bash Handler to Monitor and Administrate Simulations

Roberge-Weiss transition in N_f=2 QCD with staggered fermions and N_τ=6

The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014

Supercomputing Frontiers and Innovations


Deep learning for plant phenotyping.


HiRep repository

Glueballs and strings in Sp(2N) Yang-Mills theories

Lattice studies of the Sp(4) gauge theory with two fundamental and three antisymmetric Dirac fermions

Ergodic sampling of the topological charge using the density of states

Sp(2N) Lattice Gauge Theories and Extensions of the Standard Model of Particle Physics

Investigating the conformal behavior of SU(2) with one adjoint Dirac flavor

Singlets in gauge theories with fundamental matter

Meson spectroscopy from spectral densities in lattice gauge theories

On the mixing between flavor singlets in lattice gauge theories coupled
  to matter fields in multiple representations

First-order phase transitions in Yang-Mills theories and the density of state method---data and analysis code release

Scattering of dark pions in Sp(4) gauge theory


Data science for wildfire risk forecasting and monitoring


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

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

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

International journal of computational fluid dynamics

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

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

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


Patch's Javascript client library - https://www.patch.io


The new intelligent grounder of the logic-based Artificial Intelligence system DLV

Optimizing Answer Set Computation via Heuristic-Based Decomposition

Theory and Practice of Logic Programming

Incremental maintenance of overgrounded logic programs with tailored simplifications

Efficiently Coupling the I-DLV Grounder with ASP Solvers

Enhancing Magic Sets with an Application to Ontological Reasoning

DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries


SmartR

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

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

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


Quantitative Pathology

CD11c-CD8 Spatial Cross Presentation: A Novel Approach to Link Immune Surveillance and Patient Survival in Soft Tissue Sarcoma

Regulatory FOXP3+ T cells in uterine sarcomas are associated with favorable prognosis, low extracellular matrix expression and reduced YAP activation


CRITERIA-3D is a three-dimensional agro-hydrological model for small catchments.


QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Socially-Aware Self-Supervised Tri-Training for Recommendation

Modelling High-Order Social Relations for Item Recommendation

Robust Preference-Guided Denoising for Graph based Social Recommendation

Multi-faceted Trust-based Collaborative Filtering

User Modeling, Adaptation, and Personalization

With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Motifs-based recommender system via hypergraph convolution and contrastive learning

Private Hierarchical Clustering in Federated Networks


This is the official code repository for MUSIC, a (3+1)D hydrodynamic code package for relativistic heavy-ion collisions

Running the gamut of high energy nuclear collisions

Beam-energy dependence of the production of light nuclei in Au + Au collisions

Deuteron production in AuAu collisions at sNN=7–200 GeV via pion catalysis

3D structure of anisotropic flow in small collision systems at energies available at the BNL Relativistic Heavy Ion Collider

Resonance production in PbPb collisions at 5.02 TeV via hydrodynamics and hadronic afterburner

Impact of fluctuating initial conditions on bottomonium suppression in 5.02 TeV heavy-ion collisions

Non-equilibrium evolution of quarkonium in medium in the open quantum system approach