Jena Atomic Calculator

A fresh computational approach to atomic structures, processes and cascades

Atomic Cascade Computations

Dielectronic recombination strengths and plasma rate coefficients of multiply charged ions

Approximate Atomic Green Functions

Symbolic Evaluation of Expressions from Racah's Algebra

Photon Emission from Hollow Ions Near Surfaces


This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification

Robust Domain-Free Domain Generalization with Class-aware Alignment


Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)

Does size matter? The relationship between predictive power of single-subject morphometric networks to spatial scale and edge weight

graynet: single-subject morphometric networks for neuroscience connectivity applications

Asymptomatic carotid stenosis is associated with both edge and network reconfigurations identified by single-subject cortical thickness networks


highly-efficient & lightweight mutation signature matrix aggregation

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

Helmsman: fast and efficient mutation signature analysis for massive sequencing datasets

Helmsman: fast and efficient generation of input matrices for mutation signature analysis


The release codes of LA-MCTS with its application to Neural Architecture Search.

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search

Few-shot Neural Architecture Search

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

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

Searching in the Forest for Local Bayesian Optimization

Learning Regions of Interest for Bayesian Optimization with Adaptive
  Level-Set Estimation


Code for the intrinsic dimensionality estimate of data representations

Dimensionality-Driven Learning with Noisy Labels

Intrinsic dimension of data representations in deep neural networks

Dataset Distillation with Infinitely Wide Convolutional Networks

On the Intrinsic Dimensionality of Image Representations


Image segmentations of trees outside forest

Layer Normalization

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Adaptive Gradient Methods with Dynamic Bound of Learning Rate


MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).

UNETR: Transformers for 3D Medical Image Segmentation

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image
  Segmentation


Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

NRTSI: Non-Recurrent Time Series Imputation

Neural Ordinary Differential Equations for Intervention Modeling

Continuous Latent Process Flows

Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs)


Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

Benchmarking and survey of explanation methods for black box models

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency

Accountability by design in technology research

Computer law and security report/Computer law & security report

Identification, explanation and clinical evaluation of hospital patient
  subtypes

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis


8th place solution to Zindi's FarmPin Crop Detection Challenge

mixup: Beyond Empirical Risk Minimization

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Tile2Vec: Unsupervised representation learning for spatially distributed data


A fast xgboost feature selection algorithm

Application of deep generative networks for SAR/ISAR: a review

Reservoir Prediction by Machine Learning Methods on The Well Data and
  Seismic Attributes for Complex Coastal Conditions


Socially-Equitable Language Identification

Incorporating Dialectal Variability for Socially Equitable Language Identification

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

AfroLID: A Neural Language Identification Tool for African Languages

Language Identification on Massive Datasets of Short Messages using an Attention Mechanism CNN


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

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

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


Description  Describes the IndicNLP corpus and associated datasets

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for
  Indic Languages

Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages.

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing


LiTL: Library for Transparent Lock Interposition

Compact NUMA-Aware Locks

Avoiding Scalability Collapse by Restricting Concurrency

Protecting Locks Against Unbalanced Unlock()


Generate PSF super-tabulated models

Multi-CCD Point Spread Function Modelling

HAL (Le Centre pour la Communication Scientifique Directe)

Rethinking data-driven point spread function modeling with a differentiable optical model

ShapePipe: a new shape measurement pipeline and weak-lensing application
  to UNIONS/CFIS data

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in astronomy and space sciences


Repository for MolFormer

Large-scale chemical language representations capture molecular structure and properties

Beyond Chemical Language: A Multimodal Approach to Enhance Molecular
  Property Prediction


Simple maze environments using mujoco-py

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping

Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision


R package for working with CyToF data

Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

High-dimensional immunotyping of tumors grown in obese and non-obese mice

Computational Methods for Single-Cell Proteomics

Annual review of biomedical data science

A conserved immune trajectory of recovery in hospitalized COVID-19 patients

bioRxiv : the preprint server for biology


Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

A Comprehensive Study on Dataset Distillation: Performance, Privacy,
  Robustness and Fairness

Distilled Pruning: Using Synthetic Data to Win the Lottery


Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research

Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes

Optimized explicit Runge-Kutta schemes for the spectral difference
  method applied to wave propagation problems

Implicit and Implicit–Explicit Strong Stability Preserving Runge–Kutta Methods with High Linear Order

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016)

A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics

A Strong Stability Preserving Analysis for Explicit Multistage Two-Derivative Time-Stepping Schemes Based on Taylor Series Conditions

Optimal Explicit Strong Stability Preserving Runge--Kutta Methods with
  High Linear Order and optimal Nonlinear Order

NodePy: A package for the analysis of numerical ODE solvers

RK-Opt: A package for the design of numerical ODE solvers


De novo post-SELEX optimization of a G-quadruplex DNA aptamer binding to marine toxin gonyautoxin 1/4

Computational and structural biotechnology journal

When is variable importance estimation in species distribution modelling affected by spatial correlation?

Microperimetry Hill of Vision and Volumetric Measures of Retinal Sensitivity

Translational vision science & technology

Automated Mapping of Water Table for Cranberry Subirrigation Management: Comparison of Three Spatial Interpolation Methods

Genomic analysis of a parasite invasion: Colonization of the Americas by the blood fluke Schistosoma mansoni

Osmolality as a Novel Mechanism Explaining Diet Effects on the Outcome of Infection with a Blood Parasite

Connecting SDSS central galaxies to their host haloes using total satellite luminosity

Monthly notices of the Royal Astronomical Society

Novel measures for summarizing high-resolution forecast performance

Advances in statistical climatology, meteorology and oceanography

Migration ecology of western gray catbirds

Genome-Wide Identification of Loci Associated With Phenology-Related Traits and Their Adaptive Variations in a Highbush Blueberry Collection


[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks.

Discriminative Models Can Still Outperform Generative Models in Aspect
  Based Sentiment Analysis


RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Type-augmented Relation Prediction in Knowledge Graphs

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors


Tools for power sector emissions tracking

Tracking emissions in the US electricity system

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

A physics-informed data reconciliation framework for real-time electricity and emissions tracking


Code for CVPR 2021 paper: Anchor-Free Person Search

Anchor-Free Person Search

Efficient Person Search: An Anchor-Free Approach

Gallery Filter Network for Person Search


Fast and memory-efficient sequencing error corrector

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Lighter: fast and memory-efficient sequencing error correction without counting

Denoising of Aligned Genomic Data

Completed Genome Sequences of Strains from 36 Serotypes of Salmonella


Text Simplification System and Dataset

Optimizing Statistical Machine Translation for Text Simplification

Transactions of the Association for Computational Linguistics

Controllable Text Simplification with Lexical Constraint Loss

Meeting of the Association for Computational Linguistics

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

International Conference on Computational Logic

LENS: A Learnable Evaluation Metric for Text Simplification

On the Helpfulness of Document Context to Sentence Simplification

International Conference on Computational Linguistics

SimplifyUR: Unsupervised Lexical Text Simplification for Urdu

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

A Semi-Supervised Approach for Low-Resourced Text Generation

Claim Optimization in Computational Argumentation

Divide-and-Conquer Text Simplification by Scalable Data Enhancement

Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)


nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

International Symposium on Performance Analysis of Systems and Software

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)

COMET: X86 Cost Model Explanation Framework


Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"

Optical Flow Estimation using a Spatial Pyramid Network

HarDNet: A Low Memory Traffic Network

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Improving Real-Time Hand Gesture Recognition with Semantic Segmentation

Empowering cyberphysical systems of systems with intelligence


A collection of PDDL generators, some of which have been used to generate benchmarks for the International Planning Competition (IPC).

Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning

Learning Heuristic Selection with Dynamic Algorithm Configuration

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal
  Search

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning
  Problems


Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned
  from Images

3D-aware Image Synthesis via Learning Structural and Textural Representations

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

Generating Part-Aware Editable 3D Shapes without 3D Supervision


GeDi: Generative Discriminator Guided Sequence Generation

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

Generative and Discriminative Text Classification with Recurrent Neural Networks

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Detecting computer-generated disinformation

International journal of data science and analytics

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text
  Generation

Generating Scientific Definitions with Controllable Complexity

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

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation

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

Controlled Text Generation with Hidden Representation Transformations


This repository contains tools to perform modern cache attacks on ARM.

ARMageddon: Cache Attacks on Mobile Devices

AutoLock: Why Cache Attacks on ARM Are Harder Than You Think

Undermining User Privacy on Mobile Devices Using AI


This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.

MR-based synthetic CT generation using a deep convolutional neural network method

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

Medical image translation using an edge-guided generative adversarial network with global-to-local feature fusion

Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets


An R package for classification of immune subtypes, in cancer, using gene expression data.

Robust classification of Immune Subtypes in Cancer

A New Epigenetic Model to Stratify Glioma Patients According to Their Immunosuppressive State

Immune Subtypes in LUAD Identify Novel Tumor Microenvironment Profiles With Prognostic and Therapeutic Implications

A High Epigenetic Risk Score Shapes the Non-Inflamed Tumor Microenvironment in Breast Cancer


Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

End-to-End Incremental Learning

Large Scale Incremental Learning

Learning a Unified Classifier Incrementally via Rebalancing

Learning without Memorizing

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

Class-incremental Learning via Deep Model Consolidation

IL2M: Class Incremental Learning With Dual Memory

International Conference on Computer Vision


Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs

Lookback for Learning to Branch

Learning Cut Selection for Mixed-Integer Linear Programming via
  Hierarchical Sequence Model

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions

Promoting Generalization for Exact Solvers via Adversarial Instance
  Augmentation


Lstm variational auto-encoder for time series anomaly detection and features extraction

Tutorial on Variational Autoencoders

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

Time-Series Anomaly Detection with Implicit Neural Representation

Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder

21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021


Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

Multithreaded two-pass connected components labelling and particle analysis in ImageJ

Unsupervised Object Learning via Common Fate

Efficient Context-Aware Network for Abdominal Multi-organ Segmentation

Translation Consistent Semi-supervised Segmentation for 3D Medical
  Images

Knowledge Distillation from Cross Teaching Teachers for Efficient
  Semi-Supervised Abdominal Organ Segmentation in CT

Automatic segmentation of the great arteries for computational hemodynamic assessment

Automated computed tomography and magnetic resonance imaging
  segmentation using deep learning: a beginner's guide

Model discovery to link neural activity to behavioral tasks


DaPars(Dynamic analysis of Alternative PolyAdenylation from RNA-seq)

Alternative polyadenylation: methods, mechanism, function, and role in cancer

Journal of experimental & clinical cancer research : CR

Alternative cleavage and polyadenylation of genes associated with protein turnover and mitochondrial function are deregulated in Parkinson’s, Alzheimer’s and ALS disease

Dissecting the heterogeneity of the alternative polyadenylation profiles in triple-negative breast cancers

HPV shapes tumor transcriptome by globally modifying the pool of RNA binding protein-binding motif

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Comprehensive Analysis of APA Events and Their Association With Tumor Microenvironment in Lung Adenocarcinoma

Implications of Poly(A) Tail Processing in Repeat Expansion Diseases

Comprehensive analysis of a novel RNA modifications-related model in the prognostic characterization, immune landscape and drug therapy of bladder cancer


CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension

Natural Response Generation for Chinese Reading Comprehension


Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

Solving Linear Inverse Problems Provably via Posterior Sampling with
  Latent Diffusion Models

DiracDiffusion: Denoising and Incremental Reconstruction with Assured
  Data-Consistency

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion
  Models

Beyond First-Order Tweedie: Solving Inverse Problems using Latent
  Diffusion


1st place solution

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Probabilistic Forecasting with Temporal Convolutional Neural Network

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

Monash Time Series Forecasting Archive

Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training

Forecast evaluation for data scientists: common pitfalls and best practices

Ensembles of Localised Models for Time Series Forecasting

An accurate and fully-automated ensemble model for weekly time series forecasting

Parameter Efficient Deep Probabilistic Forecasting

Short-Term Load Forecasting in a microgrid environment: Investigating the series-specific and cross-learning forecasting methods


This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

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

Unsupervised Image-to-Image Translation Networks

Diverse Image-to-Image Translation via Disentangled Representations


All languages stopwords collection

COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA

MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment.

Constructing Geographic Dictionary from Streaming Geotagged Tweets

ISPRS international journal of geo-information

Constructing Geospatial Concept Graphs from Tagged Images for Geo-Aware Fine-Grained Image Recognition

Supervised Machine Learning mit Nutzergenerierten Inhalten: Oversampling für nicht balancierte Trainingsdaten


Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019

BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis


Transcriptome Annotation by Modular Algorithms (for long read RNA sequencing data)

Opportunities and challenges in long-read sequencing data analysis

Illuminating the dark side of the human transcriptome with long read transcript sequencing

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus

A reference genome for the critically endangered woylie, Bettongia penicillata ogilbyi


DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Denoising Diffusion Probabilistic Models

DiffWave: A Versatile Diffusion Model for Audio Synthesis

A Survey on Neural Speech Synthesis

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

Restoring degraded speech via a modified diffusion model

An Efficient Membership Inference Attack for the Diffusion Model by
  Proximal Initialization

Music ControlNet: Multiple Time-varying Controls for Music Generation

Mel Spectrogram Inversion with Stable Pitch

Score-based Source Separation with Applications to Digital Communication
  Signals


SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

Motion-supervised Co-Part Segmentation

Unsupervised Part Segmentation through Disentangling Appearance and Shape


We present the first open-source VR NERF Unity package that brings high resolution, low-latency, 6-DOF NERF rendering to VR. This work is based on Nvidia's ground breaking instant-ngp technique.

Immersive Neural Graphics Primitives

Bringing Instant Neural Graphics Primitives to Immersive Virtual Reality

2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Magic NeRF Lens: Interactive Fusion of Neural Radiance Fields for
  Virtual Facility Inspection


TLDR: Extreme Summarization of Scientific Documents

The Semantic Scholar Open Data Platform

Scientific document processing: challenges for modern learning methods

International journal on digital libraries

Twist Decoding: Diverse Generators Guide Each Other


The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

DocScanner: Robust Document Image Rectification with Progressive Learning

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild


GPU Accelerated t-SNE for CUDA with Python bindings

t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

Accelerating single-cell genomic analysis with GPUs


Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

SphereFace: Deep Hypersphere Embedding for Face Recognition

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Additive Margin Softmax for Face Verification


Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Learning Causal Semantic Representation for Out-of-Distribution Prediction

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation

Target Consistency for Domain Adaptation: when Robustness meets
  Transferability


Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

Pretrained Transformers for Text Ranking: BERT and Beyond

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages

Zenodo (CERN European Organization for Nuclear Research)

A Comparison of Supervised Learning to Match Methods for Product Search


Ruleset covering algorithms for transparent machine learning

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach

Differentiable Rule Induction with Learned Relational Features


Code for the paper "Exploration by Random Network Distillation"

See, Hear, Explore: Curiosity via Audio-Visual Association

Dealing with Sparse Rewards in Reinforcement Learning

Touch-based Curiosity for Sparse-Reward Tasks

Exploring Unknown States with Action Balance

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration.


MitoZ: A toolkit for assembly, annotation, and visualization of animal mitochondrial genomes

MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization

MitoZ: A toolkit for mitochondrial genome assembly, annotation and visualization

The complete mitochondrial genome of Ornithomya biloba (Diptera, Hippoboscidae)

Characterization and Comparative Analysis of Mitochondrial Genomes Among the Calliphoridae (Insecta: Diptera: Oestroidea) and Phylogenetic Implications

The complete mitochondrial genome of a new species of the genus Schizothorax from Sichuan, China (Cypriniformes: Cyprinidae)

Complete mitochondrial genome of the longicorn Anoplophora horsfieldi Hope (Coleoptera: Cerambycidae)


Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)

Semantic Image Synthesis with Spatially-Adaptive Normalization

StarGAN v2: Diverse Image Synthesis for Multiple Domains

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

Diff-ID: An Explainable Identity Difference Quantification Framework for
  DeepFake Detection


Implementation of Super Resolution CNN in Keras.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Image Super-Resolution Using Deep Convolutional Networks

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections


Python-based implementation of the Translate-Align-Retrieve method to automatically translate the SQuAD Dataset to Spanish.

On the Cross-lingual Transferability of Monolingual Representations

MLQA: Evaluating Cross-lingual Extractive Question Answering

Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering


A Unified Generative Framework for Various NER Subtasks

Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition


Interactive, web tool for exploring pan-genome of bacterial strains

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Evolutionary origins of the emergent ST796 clone of vancomycin resistant Enterococcus faecium

Genome-Wide Analyses Reveal Genes Subject to Positive Selection in Pasteurella multocida

Genome Sequencing and Comparative Genomics of Indian Isolates of Brucella melitensis


Library for implementing RNNs with Theano

Neural Machine Translation by Jointly Learning to Align and Translate

Generating Chinese Classical Poems with RNN Encoder-Decoder

Agreement on Target-bidirectional Neural Machine Translation

North American Chapter of the Association for Computational Linguistics

Convergence analysis of distributed stochastic gradient descent with shuffling

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

Neural Machine Translation Advised by Statistical Machine Translation

Interactive Attention for Neural Machine Translation

Memory-enhanced Decoder for Neural Machine Translation

Memory-augmented Neural Machine Translation

Variable-Length Word Encodings for Neural Translation Models

Empirical Methods in Natural Language Processing


DAGAN: Data Augmentation Generative Adversarial Networks

Sampling Generative Networks

Featurized Density Ratio Estimation

Unified Adversarial Invariance


PPG-Based Voice Conversion

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics.

Catch You and I Can: Revealing Source Voiceprint Against Voice
  Conversion

StreamVC: Real-Time Low-Latency Voice Conversion


Train embodied agents that can answer questions in environments

Embodied Question Answering

Neural Modular Control for Embodied Question Answering

Multi-Target Embodied Question Answering

Blindfold Baselines for Embodied QA

What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning.


Code for the ICASSP 2022 paper "Transformer-Based Multi-Aspect Multi-Granularity Non-native English Speaker Pronunciation Assessment".

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment

IEEE International Conference on Acoustics, Speech, and Signal Processing

Score-balanced Loss for Multi-aspect Pronunciation Assessment


Learning Rich Features for Image Manipulation Detection

Generate, Segment and Refine: Towards Generic Manipulation Segmentation

Constrained R-CNN: A general image manipulation detection model


VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:

Automated mapping of phenotype space with single-cell data

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Fetal-derived macrophages dominate in adult mammary glands

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells

Th17 reprogramming of T cells in systemic juvenile idiopathic arthritis

Organization of the human intestine at single-cell resolution

Single-cell transcriptomic analysis of mIHC images via antigen mapping

Fetal‐derived macrophages persist and sequentially maturate in ovaries after birth in mice

Multidimensional analysis of Gammaherpesvirus RNA expression reveals unexpected heterogeneity of gene expression


Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

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

How Expressive are Spectral-Temporal Graph Neural Networks for Time
  Series Forecasting?


Systemic is a C library for modeling exoplanetary radial velocities, with an R binding and a full GUI IDE.

The Solar Neighborhood XLVIII: Nine Giant Planets Orbiting Nearby K Dwarfs, and the CHIRON Spectrograph’s Radial Velocity Performance

A High-Precision NIR Survey for RV Variable Low-Mass Stars

Magellan/PFS Radial Velocities of GJ 9827, a Late K dwarf at 30 pc with Three Transiting Super-Earths


PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Self-Attentive Sequential Recommendation

Do Loyal Users Enjoy Better Recommendations?

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Rethinking Cross-Domain Sequential Recommendation under Open-World
  Assumptions

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Recursive Attentive Methods with Reused Item Representations for
  Sequential Recommendation

Towards Open-world Cross-Domain Sequential Recommendation: A
  Model-Agnostic Contrastive Denoising Approach


Social LSTM implementation in PyTorch

Deep Learning for Vision-based Prediction: A Survey

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization

Multi-agent Trajectory Prediction with Fuzzy Query Attention


[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints

Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo

IEEE transactions on pattern analysis and machine intelligence


Pytorch implementation of BRECQ, ICLR 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

FlexRound: Learnable Rounding based on Element-wise Division for
  Post-Training Quantization

Genie: Show Me the Data for Quantization


Calculate signed distance fields for arbitrary meshes

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Adversarial Generation of Continuous Implicit Shape Representations

NeuralFusion: Online Depth Fusion in Latent Space

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input

Object Motion Guided Human Motion Synthesis

Distributionally Robust Policy Learning via Adversarial Environment Generation

Learning Online Multi-Sensor Depth Fusion

FC2T2: The Fast Continuous Convolutional Taylor Transform with
  Applications in Vision and Graphics

Inferring Implicit 3D Representations from Human Figures on Pictorial Maps


Yet another repository for developing and benchmarking deep learning-based change detection methods.

Fully Convolutional Siamese Networks for Change Detection

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE transactions on geoscience and remote sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS journal of photogrammetry and remote sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE geoscience and remote sensing letters

Street-view change detection with deconvolutional networks

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

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


Heterogeneous Graph Neural Network

Graph Neural Networks: A Review of Methods and Applications

Heterogeneous Graph Attention Network

Deep Learning on Graphs: A Survey

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Multiplex Heterogeneous Graph Convolutional Network

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

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding


(Not Offical) BBMap short read aligner, and other bioinformatic tools.

Stable distinct core eukaryotic viromes in different mosquito species from Guadeloupe, using single mosquito viral metagenomics

Probiotic consumption relieved human stress and anxiety symptoms possibly via modulating the neuroactive potential of the gut microbiota

Proceedings of Azerbaijan High Technical Educational Institution

Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Metagenomic analysis of bile salt biotransformation in the human gut microbiome

Functional characterization of the human tRNA methyltransferases TRMT10A and TRMT10B

The megabase-scale crossover landscape is largely independent of sequence divergence

What Can Long Terminal Repeats Tell Us About the Age of LTR Retrotransposons, Gene Conversion and Ectopic Recombination?

Common Presence of Phototrophic Gemmatimonadota in Temperate Freshwater Lakes

Efficiency of ddRAD target enriched sequencing across spiny rock lobster species (Palinuridae: Jasus)


Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Conditional Simulation Using Diffusion Schrödinger Bridges

Generative Flows with Invertible Attentions

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of
  Experts And Frequency-augmented Decoder Approach


Piotr's Image & Video Matlab Toolbox

Video Frame Synthesis using Deep Voxel Flow

Getting to Know Low-light Images with The Exclusively Dark Dataset

Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images

Deep Multi-camera People Detection

Posterior amygdala regulates sexual and aggressive behaviors in male mice

Learning layer-specific edges for segmenting retinal layers with large deformations

Micro-expression detection in long videos using optical flow and recurrent neural networks

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Object Contour and Edge Detection with RefineContourNet

Visual Tracking via Boolean Map Representations


Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Aligning Linguistic Words and Visual Semantic Units for Image Captioning

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

Learning Visual Relation Priors for Image-Text Matching and Image
  Captioning with Neural Scene Graph Generators

Disentangled Motif-aware Graph Learning for Phrase Grounding

One-shot Scene Graph Generation

Generative Compositional Augmentations for Scene Graph Prediction

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score

Scene Graph Generation for Better Image Captioning?


Fertilizer reduction with bio-organic fertilizer to regulate the root soil microbial community structure to improve Baby Chinese cabbage yield

Comparative Molecular Characterization of Novel and Known Piscine Toti-Like Viruses

De novo assembly and transcriptome characterization: Novel insights into the mechanisms of primary ovarian cancer in Microtus fortis

Identification and Functional Analysis of Differentially Expressed Genes in Myzus persicae (Hemiptera: Aphididae) in Response to Trans-anethole

Mapping Floral Genetic Architecture in Prunus mume, an Ornamental Woody Plant

Atypical Serogroup IVb-v1 of Listeria monocytogenes Assigned to New ST2801, Widely Spread and Persistent in the Environment of a Pork-Meat Producing Plant of Central Italy

Peroxisome Proliferator-Activated Receptor Activation in Precision-Cut Bovine Liver Slices Reveals Novel Putative PPAR Targets in Periparturient Dairy Cows

Exploring programmatic indicators of tuberculosis control that incorporate routine Mycobacterium tuberculosis sequencing in low incidence settings: a comprehensive (2017–2021) patient cohort analysis

The Lancet regional health. Western Pacific

Cell-Penetrating Peptide–Peptide Nucleic Acid Conjugates as a Tool for Protein Functional Elucidation in the Native Bacterium

Synergistic Activity of Cefiderocol in Combination with Piperacillin-Tazobactam, Fosfomycin, Ampicillin-Sulbactam, Imipenem-Relebactam and Ceftazidime-Avibactam against Carbapenem-Resistant Gram-Negative Bacteria


Direct voxel grid optimization for fast radiance field reconstruction.

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

SpikingNeRF: Making Bio-inspired Neural Networks See through the Real
  World

SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field


Tools for fast and flexible genome assembly scaffolding and improvement

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

Automated assembly scaffolding elevates a new tomato system for high-throughput genome editing

Monitoring of the SARS-CoV-2 Omicron BA.1/BA.2 lineage transition in the Swedish population reveals increased viral RNA levels in BA.2 cases

Biosynthesis of mushroom-derived type II ganoderic acids by engineered yeast

CAMSA: a tool for comparative analysis and merging of scaffold assemblies

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

Compared analysis with a high-quality genome of weedy rice reveals the evolutionary game of de-domestication

Draft Genome Sequence of “Candidatus Nardonella dryophthoridicola” Strain NARMHE1, Endosymbiont of Metamasius hemipterus (Coleoptera, Curculionidae, Dryophthorinae)

A chromosome-level assembly of the widely used Rockefeller strain of Aedes aegypti, the yellow fever mosquito


Point-NeRF: Point-based Neural Radiance Fields

Ponder: Point Cloud Pre-training via Neural Rendering

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

Training Generative Adversarial Networks with Limited Data

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Regularizing Generative Adversarial Networks under Limited Data

Training GANs with Stronger Augmentations via Contrastive Discriminator

Variational Model Inversion Attacks

Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

Feature Statistics Mixing Regularization for Generative Adversarial Networks


MIRACL Cryptographic SDK: Multiprecision Integer and Rational Arithmetic Cryptographic Library is a C software library that is widely regarded by developers as the gold standard open source SDK for elliptic curve cryptography (ECC).

An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System

An Efficient and Provably Secure Certificateless Key-Encapsulated Signcryption Scheme for Flying Ad-hoc Network

How to End Password Reuse on the Web

Proceedings 2019 Network and Distributed System Security Symposium

An Efficient and Provably Secure Certificateless Blind Signature Scheme for Flying Ad-Hoc Network Based on Multi-Access Edge Computing

Multiaccess Edge Computing Empowered Flying Ad Hoc Networks with Secure Deployment Using Identity-Based Generalized Signcryption

TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band

International Conference on Computer Communications

An Online-Offline Certificateless Signature Scheme for Internet of Health Things

A Secure, Lightweight, and Anonymous User Authentication Protocol for IoT Environments

Identity-Based Key Exchange on In-Vehicle Networks: CAN-FD & FlexRay

MHCOOS: An Offline-Online Certificateless Signature Scheme for M-Health Devices


Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Layer Normalization

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Skip-Thought Vectors

Learning Distributed Representations of Sentences from Unlabelled Data

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

On Multiplicative Integration with Recurrent Neural Networks

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Meeting of the Association for Computational Linguistics

Efficient Vector Representation for Documents through Corruption


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Attention Is All You Need

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

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

Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

UniAudio: An Audio Foundation Model Toward Universal Audio Generation


A ECMAScript 2023 compliant JavaScript implementation built on GraalVM. With polyglot language interoperability support. Running Node.js applications!

JEST: N+1-Version Differential Testing of Both JavaScript Engines and Specification


The official mirror of the V8 Git repository

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code

A Lightweight Design for Serverless Function as a Service

Smartphone Fingerprinting Via Motion Sensors: Analyzing Feasibility at
  Large-Scale and Studying Real Usage Patterns

Josephine: Using JavaScript to safely manage the lifetimes of Rust data

Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks

Galloping in Fast-Growth Natural Merge Sorts

SOK: On the Analysis of Web Browser Security


Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)

Dynamic Asymmetry Exposes 2019-nCoV Prefusion Spike

The journal of physical chemistry letters

Mild Phenotype of Wolfram Syndrome Associated With a Common Pathogenic Variant Is Predicted by a Structural Model of Wolframin

Computational normal mode analysis accurately replicates the activity and specificity profiles of CRISPR-Cas9 and high-fidelity variants

Computational and structural biotechnology journal

The Elastic Network Contact Model applied to RNA: enhanced accuracy for conformational space prediction


Verifying Strong Eventual Consistency in Distributed Systems

Proceedings of the ACM on programming languages

Moving elements in list CRDTs

A Highly-Available Move Operation for Replicated Trees

IEEE transactions on parallel and distributed systems


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

Adaptive Sampling for Rapidly Matching Histograms

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

International Conference on Information and Knowledge Management

Statistical inference on the Hilbert sphere with application to random densities


Non-Parametric Calibration for Classification (AISTATS 2020)

Adaptive Label Smoothing

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


Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)

projUNN: efficient method for training deep networks with unitary
  matrices

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness


soliDMFT allows to perform charge self-consistent DFT+DMFT calculations by utilizing the triqs library and VASP.

Effect of charge self-consistency in DFT+DMFT calculations for complex transition metal oxides

Oxygen Vacancies in Strontium Titanate: a DFT+DMFT study

Correlation-Induced Octahedral Rotations in SrMoO_3

Charge disproportionation and Hund's insulating behavior in a five-orbital Hubbard model applicable to d^4 perovskites

Charge self-consistency and double-counting in DFT+DMFT calculations for complex transition metal oxides


Mid-Latitude Evaluation System

Bidimensional Diagnostics, Variability, and Trends of Northern Hemisphere Blocking

Changes in meandering of the Northern Hemisphere circulation

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

Quarterly journal of the Royal Meteorological Society


A Python tool to study the information yield of counting experiments.

Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

Digging for dark matter: Spectral analysis and discovery potential of paleo-detectors

Paleodetectors for Galactic supernova neutrinos

Implications of the Gaia sausage for dark matter nuclear interactions

New Projections for Dark Matter Searches with Paleo-Detectors

swordfish: Efficient Forecasting of New Physics Searches without Monte Carlo


Research on Tabular Deep Learning: Papers & Packages

TransTab: Learning Transferable Tabular Transformers Across Tables

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns

Towards Cross-Table Masked Pretraining for Web Data Mining

NCART: Neural Classification and Regression Tree for Tabular Data

UniPredict: Large Language Models are Universal Tabular Classifiers

Benchmarking Distribution Shift in Tabular Data with TableShift


Display and fit Optical (spectro-)Interferometric OIFITS data

HR 6819 is a binary system with no black hole

Dynamical masses of the primary Be star and the secondary sdB star in
  the single-lined binary kappa Dra (B6 IIIe)

Resolving the dynamical mass tension of the massive binary 9 Sagittarii

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

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

Tracing a decade of activity towards a yellow hypergiant. The spectral and spatial morphology of IRC+10420 at au scales

Monthly notices of the Royal Astronomical Society

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

The Araucaria project: High-precision orbital parallaxes and masses of
  binary stars. I. VLTI/GRAVITY observations of ten double-lined spectroscopic
  binaries

The binary system of the spinning-top Be star Achernar

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


Chromatin domains bursting with flavor

Order and stochasticity in the folding of individual Drosophila genomes

Condensin II inactivation in interphase does not affect chromatin folding or gene expression

Live-cell three-dimensional single-molecule tracking reveals modulation of enhancer dynamics by NuRD

Benchmark of software tools for prokaryotic chromosomal interaction domain identification


Accessibily-enabled VR360 player

Culture 4 all: accessibility-enabled cultural experiences through immersive VR360 content

Accessibility in 360° video players

Accessibility in 360-degree video players


"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction"  (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging


Fast genealogical relationship evaluation of bacterial isolates with WGS data.

Genome-by-genome approach for fast bacterial genealogical relationship evaluation

High Prevalence and Persistence of Escherichia coli Strains Producing Shiga Toxin Subtype 2k in Goat Herds

Comparative Genomics of Shiga Toxin-Producing Escherichia coli Strains Isolated from Pediatric Patients with and without Hemolytic Uremic Syndrome from 2000 to 2016 in Finland

Genomic Insights Into Clinical Shiga Toxin-Producing Escherichia coli Strains: A 15-Year Period Survey in Jönköping, Sweden

High prevalence and pathogenic potential of Shiga toxin-producing Escherichia coli strains in raw mutton and beef in Shandong, China


An end to end Deep Neural Network for iris segmentation in unconstrained scenarios

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

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

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


SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Accelerated Federated Learning with Decoupled Adaptive Optimization


active learning + reusable workflows + likelihood free inference

A Trust Crisis In Simulation-Based Inference? Your Posterior
  Approximations Can Be Unfaithful

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio
  Estimation

Compositional Score Modeling for Simulation-based Inference

Balancing Simulation-based Inference for Conservative Posteriors

AI for Science: An Emerging Agenda


replication package for  From Commit Message Generation to History-Aware Commit Message Completion, ASE 2023

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Automating Code Review Activities by Large-Scale Pre-training

RACE: Retrieval-Augmented Commit Message Generation


Enhance

Enhancing SDO/HMI images using deep learning

ALMA observations of transient heating in a solar active region

Heating of the solar chromosphere through current dissipation

Subarcsecond Imaging of a Solar Active Region Filament With ALMA and IRIS

Machine learning in solar physics


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


SFU Opinion and Comments Corpus

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

The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English

Corpora Annotated with Negation: An Overview

International Conference on Computational Logic

Classifying Constructive Comments

A corpus analysis of online news comments using the Appraisal framework

Journal of corpora and discourse studies


Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

IEEE transactions on pattern analysis and machine intelligence

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Transportation research. Part C, Emerging technologies

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

Urban Traffic Speed Dataset of Guangzhou, China

Zenodo (CERN European Organization for Nuclear Research)


A  riscv isa simulator in rust.


Particle-tracking code that models strong-field QED interactions

Conceptual Design Report for the LUXE Experiment

The European physical journal. Special topics

Advances in QED with intense background fields

New physics searches with an optical dump at LUXE

Fully polarized nonlinear Breit-Wheeler pair production in pulsed plane waves

Strong-Field QED Experiments using the BELLA PW Laser Dual Beamlines

The European physical journal. D, Atomic, molecular and optical physics/The European physical journal. D, Atomic, molecular, optical and plasma physics

Technical Design Report for the LUXE Experiment

Studies of high-field QED with the LUXE experiment at the European XFEL

LUXE: A new experiment to study non-perturbative QED in e^--laser and γ-laser collisions

Classical Radiation Reaction in Red-Shifted Harmonics

LUXE: A new experiment to study non-perturbative QED in electron-laser and photon-laser collisions

Proceedings of Particles and Nuclei International Conference 2021 — PoS(PANIC2021)


This repository contains several sets of many-body codes developed by Morten Hjorth-Jensen and collaborators. The codes follow the GNU  GPL v.3 public license settings.

Ground and excited states of doubly open-shell nuclei from ab initio valence-space Hamiltonians

Doubly magic nuclei from lattice QCD forces at M PS = 469 MeV / c 2

First-principles calculations for c-coefficients of the isobaric mass multiplet equation in the 1p0f shell

Generalized seniority on a deformed single-particle basis

Application of the variational principle to a coherent-pair condensate: The BCS case

Recent Applications of Self-Consistent Green's Function Theory to Nuclei

NuHamil : A numerical code to generate nuclear two- and three-body matrix elements from chiral effective field theory

Computer code for applying the variational principle to a coherent-pair condensate: The BCS case

133In: A Rosetta Stone for decays of r-process nuclei


Deep Articulatory Synthesis and Inversion

Deep Speech Synthesis from Articulatory Representations

Speaker-Independent Acoustic-to-Articulatory Speech Inversion

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Deep Speech Synthesis from MRI-Based Articulatory Representations


A jupyter notebook workflow for performing post-processing finite-size corrections to periodic electronic structure calculations of charged defect supercells compatible with outputs from the software package FHI-aims.

Electrostatics-based finite-size corrections for first-principles point defect calculations

Physical review. B, Condensed matter and materials physics

A Computational Framework for Automation of Point Defect Calculations

CoFFEE: Corrections For Formation Energy and Eigenvalues for charged defect simulations


Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

Unsupervised Visual Representation Learning via Mutual Information
  Regularized Assignment


Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks


Extended Joint Models for Longitudinal and Survival Data

Fast and flexible inference for joint models of multivariate
  longitudinal and survival data using Integrated Nested Laplace Approximations

Bivariate joint models for survival and change of cognitive function

Efficiently analyzing large patient registries with Bayesian joint
  models for longitudinal and time-to-event data


한국어 개체명 정의 및 표지 표준화 기술보고서와 이를 기반으로 제작된 개체명 형태소 말뭉치

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

KLUE: Korean Language Understanding Evaluation

Open Korean Corpora: A Practical Report

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

Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition

Proceedings of the 1st Workshop on Multilingual Representation Learning

A Survey on Awesome Korean NLP Datasets


Database of galactic novae

A Population of Heavily Reddened, Optically Missed Novae from Palomar Gattini-IR: Constraints on the Galactic Nova Rate

The first nova eruption in a novalike variable: YZ Ret as seen in X-rays and gamma-rays

Searching the SETI Ellipsoid with Gaia


Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention

Efficient Zero-shot Event Extraction with Context-Definition Alignment

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Trigger-Argument based Explanation for Event Detection

Findings of the Association for Computational Linguistics: ACL 2023


Tutorials on phylogenetic and phylogenomic inference

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Most Genomic Loci Misrepresent the Phylogeny of an Avian Radiation Because of Ancient Gene Flow

Selection-driven trait loss in independently evolved cavefish populations

Hybridization underlies localized trait evolution in cavefish

Hybridization Dynamics and Extensive Introgression in the Daphnia longispina Species Complex: New Insights from a High-Quality Daphnia galeata Reference Genome

Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)

Genomic evidence for recurrent genetic admixture during domestication mediterranean olive trees (Olea europaea)


Hessian spectral density estimation in TF and Jax

Sharpness-Aware Minimization for Efficiently Improving Generalization

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density


This repository contains examples of Flush+Flush cache attacks

WHISPER: A Tool for Run-Time Detection of Side-Channel Attacks

A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks

RT-Sniper: A Low-Overhead Defense Mechanism Pinpointing Cache Side-Channel Attacks


A Live Movie Rating Dataset Collected From Twitter

Next Item Recommendation with Self-Attention

Combining similarity and sentiment in opinion mining for product recommendation

Journal of intelligent information systems

HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence

ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling

Coupled Variational Recurrent Collaborative Filtering

Text-based Sentiment Analysis and Music Emotion Recognition


Code for "Neural causal learning from unknown interventions"

Learning Neural Causal Models from Unknown Interventions

Learning Neural Causal Models with Active Interventions

On the Generalization and Adaption Performance of Causal Models


A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

Construction of the Literature Graph in Semantic Scholar

Content-Based Citation Recommendation

Navigation-based candidate expansion and pretrained language models for citation recommendation

Learning Neural Textual Representations for Citation Recommendation


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

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

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

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 Library For Dense Retrieval Oriented Vector Quantization

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Matching-oriented Embedding Quantization For Ad-hoc Retrieval

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval

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


A collection of digital forestry tools for Matlab/Octave


Code base for profiling highly replicated differential gene expression RNA-seq.

Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products

Information-Content-Informed Kendall-tau Correlation: Utilizing Missing Values


Code for the paper "Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset" (ACL 2020)

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

Reading Wikipedia to Answer Open-Domain Questions

emrQA: A Large Corpus for Question Answering on Electronic Medical Records


Knowledge-aware Zero-Shot Learning: Survey and Perspective

Benchmarking Knowledge-driven Zero-shot Learning

Ontology-guided Semantic Composition for Zero-Shot Learning


Official Repository of  "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

A Fair Comparison of Graph Neural Networks for Graph Classification

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing

Bayesian Deep Learning for Graphs

The International journal of applied philosophy/International journal of applied philosophy


Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Randomized Exploration for Reinforcement Learning with General Value Function Approximation

Automating Control of Overestimation Bias for Reinforcement Learning

Model-free Policy Learning with Reward Gradients


Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Memory-aware curriculum federated learning for breast cancer classification.

Differences between human and machine perception in medical diagnosis

Meta-repository of screening mammography classifiers

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms


JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Connecting the Dots: Towards Human-Level Grammatical Error Correction

Workshop on Innovative Use of NLP for Building Educational Applications

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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


On Automating the Doctrine of Double Effect

Toward the Engineering of Virtuous Machines

On Quantified Modal Theorem Proving for Modeling Ethics

Qualitative Mechanical Problem-Solving by Artificial Agents:

The International FLAIRS Conference Proceedings


[ICCV 2021] A new codebase containing various methods for Group Activity Recognition. Paper title: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


Python implementation of the monster group

The maximal subgroups of the Monster

A computer-friendly construction of the monster

A fast implementation of the Monster group


Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".

Segmenting Natural Language Sentences via Lexical Unit Analysis

NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation


PulsePortraiture (PP): a wideband pulsar timing code written in python.  It uses an extension of Joe Taylor's FFTFIT algorithm (Taylor 1992) to simultaneously measure a phase (TOA) and dispersion measure (DM).  PSRCHIVE, lmfit, and the latest vertsions of numpy and scipy are required.

Refined Mass and Geometric Measurements of the High-mass PSR J0740+6620

A LOFAR census of millisecond pulsars

ELEMENTARY WIDEBAND TIMING OF RADIO PULSARS

The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Frequency-dependent Template Profiles for High-precision Pulsar Timing

Measurements of pulse jitter and single-pulse variability in millisecond pulsars using MeerKAT

Monthly Notices of the Royal Astronomical Society

Improving timing sensitivity in the microhertz frequency regime: limits from PSR J1713+0747 on gravitational waves produced by supermassive black hole binaries

Timing of PSR J2055+3829, an eclipsing black widow pulsar discovered with the Nancay Radio Telescope

Low-frequency wideband timing of InPTA pulsars observed with the uGMRT

Pulsar Timing Array Experiments


Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Graph-Based Continual Learning

Gated information bottleneck for generalization in sequential environments

Learning to Transfer with von Neumann Conditional Divergence

Continual Invariant Risk Minimization


Incremental learning of word embeddings with context informativeness.

High-risk learning: acquiring new word vectors from tiny data

Few-Shot Representation Learning for Out-Of-Vocabulary Words

Towards Incremental Learning of Word Embeddings Using Context Informativeness

Meeting of the Association for Computational Linguistics


UniGen approximately uniform sampler

Denoising Diffusion for Sampling SAT Solutions


ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts

Workshop on Biomedical Natural Language Processing

Chinese Couplet Generation with Syntactic Information

International Conference on Computational Linguistics


using CNN to do move prediction and board evaluation for the board game Go

Teaching Deep Convolutional Neural Networks to Play Go

Move Evaluation in Go Using Deep Convolutional Neural Networks

Multi-Labelled Value Networks for Computer Go

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)


Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

DeepMind Control Suite

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning


Simple language-driven navigation tasks for studying compositional learning

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

Compositional generalization in a deep seq2seq model by separating syntax and semantics

Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks

The Future of Computational Linguistics: On Beyond Alchemy

What they do when in doubt: a study of inductive biases in seq2seq learners

Compositional Generalization by Factorizing Alignment and Translation

Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models


Build a recommendation system from scratch

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Sampling-bias-corrected neural modeling for large corpus item recommendations

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models
  by Instance-Guided Mask

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction


Official PyTorch implementation of GENESIS and GENESIS-V2

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

Reconstruction Bottlenecks in Object-Centric Generative Models

Unsupervised Object Learning via Common Fate

Learning Foreground-Background Segmentation from Improved Layered GANs

Toward Compositional Generalization in Object-Oriented World Modeling

Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors

Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning


Curated lists of credible and non-credible online sources, available for public use

Capturing the Style of Fake News

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

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

Humanities and Social Sciences Communications

Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit
  Routines of Fake News sites

The Rise and Fall of Fake News sites: A Traffic Analysis

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

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

University Community Members' Perceptions of Labels for Online Media


Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Positive-Unlabeled Learning with Non-Negative Risk Estimator

Generative Adversarial Positive-Unlabelled Learning

Mixture Proportion Estimation and PU Learning: A Modern Approach

A Variational Approach for Learning from Positive and Unlabeled Data

Counter-examples generation from a positive unlabeled image dataset

Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

Discriminative adversarial networks for positive-unlabeled learning.


Codes of Centripetal SGD

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN


Mapping Wikipedia pages to Wikidata IDs and vice versa.

Enriching BERT with Knowledge Graph Embeddings for Document Classification

BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

Entity Linking in Tabular Data Needs the Right Attention


Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Dynamic and Efficient Inference for Text Generation via BERT Family

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


Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

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

AI applications in forest monitoring need remote sensing benchmark datasets


Diffusers-Interpret ♀: Model explainability for  Diffusers. Get explanations for your generated images.


Python based SED fitting code

Evolution of the galaxy stellar mass functions and UV luminosity functions at z = 6−9 in the Hubble Frontier Fields

Monthly notices of the Royal Astronomical Society

A consistent measure of the merger histories of massive galaxies using close-pair statistics I: Major mergers at $z < 3.5$

Discovery of a radio galaxy at z = 5.72

Populations of double white dwarfs in Milky Way satellites and their detectability with LISA

UV Spectral Slopes at z = 6−9 in the Hubble Frontier Fields: Lack of Evidence for Unusual or Population III Stellar Populations

Unbiased Differential Size Evolution and the Inside-Out Growth of Galaxies in the Deep CANDELS GOODS Fields at 1 ≤ z ≤ 7

A direct measurement of galaxy major and minor merger rates and stellar
  mass accretion histories at $z < 3$ using galaxy pairs in the REFINE survey

Surface Brightness Evolution of Galaxies in the CANDELS GOODS Fields up to z ∼ 6: High-z Galaxies are Unique or Remain Undetected

Revealing new high-redshift quasar populations through Gaussian mixture model selection


the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

Self-Ensemble Adversarial Training for Improved Robustness

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial
  Training


The official source code for the paper Consensus-Aware Visual-Semantic Embedding for Image-Text Matching (ECCV 2020)

Learning the Best Pooling Strategy for Visual Semantic Embedding

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval

Variational Transformer: A Framework Beyond the Trade-off between
  Accuracy and Diversity for Image Captioning


Robust Compressed Sensing MRI with Deep Generative Priors

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse
  Problems

A Regularized Conditional GAN for Posterior Sampling in Image Recovery
  Problems

Mining the manifolds of deep generative models for multiple
  data-consistent solutions of ill-posed tomographic imaging problems


Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset

Meaningfully Debugging Model Mistakes using Conceptual Counterfactual
  Explanations

MEDFAIR: Benchmarking Fairness for Medical Imaging

A deep-learning algorithm to classify skin lesions from mpox virus infection

Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm

The Role of Subgroup Separability in Group-Fair Medical Image Classification

Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

Domain Generalization for Medical Image Analysis: A Survey


Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

AI-driven Mobile Apps: an Explorative Study

IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets

North American Chapter of the Association for Computational Linguistics

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International journal of artificial intelligence and machine learning


A community repository for benchmarking Bayesian methods

Gaussian Processes for Big Data

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Differentiable Compositional Kernel Learning for Gaussian Processes

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Improving Hyperparameter Learning under Approximate Inference in
  Gaussian Process Models


Test DRAM for bit flips caused by the rowhammer problem

The RowHammer Problem and Other Issues We May Face as Memory Becomes
  Denser

PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses

RowHammer and Beyond

Understanding Rowhammer Attacks through the Lens of a Unified Reference Framework.

TeleHammer : A Stealthy Cross-Boundary Rowhammer Technique

GhostKnight: Breaching Data Integrity via Speculative Execution

TeleHammer: A Formal Model of Implicit Rowhammer


Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

Visualizing and Interpreting Single-Cell Gene Expression Datasets with Similarity Weighted Nonnegative Embedding

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma

Spatiotemporal dynamics of inner ear sensory and non-sensory cells revealed by single-cell transcriptomics


[EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering

TVQA+: Spatio-Temporal Grounding for Video Question Answering

On Modality Bias in the TVQA Dataset

Trying Bilinear Pooling in Video-QA

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

AssistSR: Affordance-centric Question-driven Video Segment Retrieval

Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels


Evaluation code for Dense-Captioning Events in Videos

Jointly Localizing and Describing Events for Dense Video Captioning

Weakly Supervised Dense Event Captioning in Videos

Streamlined Dense Video Captioning

Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event
  Captioning

Relational Graph Learning for Grounded Video Description Generation

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

Parallel Pathway Dense Video Captioning With Deformable Transformer


JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

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

Offline Reinforcement Learning with Implicit Q-Learning

RvS: What is Essential for Offline RL via Supervised Learning?

The Primacy Bias in Deep Reinforcement Learning

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion
  Policies

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Understanding the Complexity Gains of Single-Task RL with a Curriculum

Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement


Creative Commons Attribution Share Alike 4.0 International

We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title  Unsupervised Quality Estimation for Neural Machine Translation

Are we Estimating or Guesstimating Translation Quality?

Noising Scheme for Data Augmentation in Automatic Post-Editing

Empirical Methods in Natural Language Processing

POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation


DRUMMER: Detection of RNA modifications in nanopore direct RNA Sequencing datasets

Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing

DRUMMER—rapid detection of RNA modifications through comparative nanopore sequencing

Dissecting the effects of METTL3 on alternative splicing in prostate cancer


Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023 (Oral)

Exploring Transfer Learning for Low Resource Emotional TTS

Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis
  with Graph-based Multi-modal Context Modeling

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech


The repo contains our code of ``Semantic Mask for Transformer based End-to-End Speech Recognition"

Don’t Shoot Butterfly with Rifles: Multi-Channel Continuous Speech Separation with Early Exit Transformer

SpliceOut: A Simple and Efficient Audio Augmentation Method

Ultra Fast Speech Separation Model with Teacher Student Learning


Coverage tests to check the quality of your posterior estimators.

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

A Trust Crisis In Simulation-Based Inference? Your Posterior
  Approximations Can Be Unfaithful

Sampling-Based Accuracy Testing of Posterior Estimators for General
  Inference

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering


End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. Additional material and updates.

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

IEEE International Conference on Electronics and Nanotechnology

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics


Milky Way Streams Footprint Library and Toolkit for Python

Streams, Substructures, and the Early History of the Milky Way

Annual review of astronomy and astrophysics

Fourteen candidate RR Lyrae star streams in the inner Galaxy

Monthly Notices of the Royal Astronomical Society

Chemo-kinematics of the Gaia RR Lyrae: the halo and the disc

Overview of the DESI Milky Way Survey

galstreams: A Library of Milky Way Stellar Stream Footprints and Tracks

Implications of Milky Way substructures for the nature of dark matter

The Milky Way's stellar streams and globular clusters do not align in a Vast Polar Structure

Discovery of Extended Tidal Tails around the Globular Cluster Palomar 13

Mapping Gaia Parallax Systematic Errors over the Sky with Faint Milky Way Stars


Discovering known and novel miRNAs from small RNA sequencing data

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Identification and characterization of differentially expressed exosomal microRNAs in bovine milk infected with Staphylococcus aureus

High Throughput Sequencing of MicroRNA in Rainbow Trout Plasma, Mucus, and Surrounding Water Following Acute Stress

Transcriptome and chromatin accessibility in porcine intestinal epithelial cells upon Zearalenone exposure

Integration of miRNA and mRNA Co-Expression Reveals Potential Regulatory Roles of miRNAs in Developmental and Immunological Processes in Calf Ileum during Early Growth

Comprehensive Analysis of Serum Small Extracellular Vesicles-Derived Coding and Non-Coding RNAs from Retinoblastoma Patients for Identifying Regulatory Interactions

High-Throughput Sequencing-Based Identification of miRNAs and Their Target mRNAs in Wheat Variety Qing Mai 6 Under Salt Stress Condition

Transcriptome and miRNA Profiles of Black Tiger Shrimp, Penaeus monodon, Under Different Salinity Conditions

Proteomic and microRNA-omic profiles and potential mechanisms of dysfunction in pancreatic islet cells primed by inflammation

Genome-wide identification and characterization of perirenal adipose tissue microRNAs in rabbits fed a high-fat diet


Library for translating between 200 languages. Built on  transformers.

Beyond English-Centric Multilingual Machine Translation

No Language Left Behind: Scaling Human-Centered Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and
  Finetuning

ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer Models


Domino: Discovering Systematic Errors with Cross-Modal Embeddings

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models

Adaptive Testing of Computer Vision Models

Towards a More Rigorous Science of Blindspot Discovery in Image
  Classification Models

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms


Code for the Convolutional Vision Transformer (ConViT)

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Conviformers: Convolutionally guided Vision Transformer


Python package for measuring memorization in LLMs.

TLDR: Extreme Summarization of Scientific Documents

Do Membership Inference Attacks Work on Large Language Models?

Pandora's White-Box: Increased Training Data Leakage in Open LLMs


Sonification tool for turning scatter plots into perceptually uniform sound files for science and science access.

A New Approach to Sonification of Astrophysical Data: The User Centred Design of SonoUno

American journal of astronomy and astrophysics

SonoUno Web: An Innovative User Centred Web Interface


Collection of tools  for the analysis of CpG data

Direct haplotype-resolved 5-base HiFi sequencing for genome-wide profiling of hypermethylation outliers in a rare disease cohort

High Coverage Highly Accurate Long-Read Sequencing of a Mouse Neuronal Cell Line Using the PacBio Revio Sequencer

bioRxiv : the preprint server for biology


Visualize Solidity control flow for smart contract security analysis.  :dollar: ⇆ :dollar:

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

International Conference on Software Engineering

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Scilla: a Smart Contract Intermediate-Level LAnguage

Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

SMACS: Smart Contract Access Control Service

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media

Continuous and Secure Integration Framework for Smart Contracts

A Survey of Verification, Validation and Testing Solutions for Smart
  Contracts


Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Spiking Neural Networks and Their Applications: A Review

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs

International Conference on Robotics and Automation

A toolbox for neuromorphic perception in robotics

Frameworks for SNNs: a Review of Data Science-oriented Software and an
  Expansion of SpykeTorch


Open Source Light Field Toolbox for Super-Resolution

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results

Advanced Scalability for Light Field Image Coding

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


Data for the HIPE 2022 shared task.

Named Entity Recognition and Classification in Historical Documents: A Survey

hmBERT: Historical Multilingual Language Models for Named Entity
  Recognition

A survey on recent advances in named entity recognition


aspect-based sentiment classification

Interactive Attention Networks for Aspect-Level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification

Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention


Collection of categorization systems for climate policy analysis


Several sequential recommended models implemented by tenosrflow1.x

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Sequential Recommendation Model for Next Purchase Prediction

Generating Negative Samples for Sequential Recommendation


SynVisio is an interactive multiscale visualization tool that lets you explore the results of McScanX a popular synteny and collinearity detection toolkit.

Multiple wheat genomes reveal global variation in modern breeding

High contiguity long read assembly of Brassica nigra allows localization of active centromeres and provides insights into the ancestral Brassica genome

PearMODB: a multiomics database for pear (Pyrus) genomics, genetics and breeding study

Database : the journal of biological databases and curation

Phylloxera and aphids show distinct features of genome evolution despite similar reproductive modes


mmCIF-based extension dictionary for computed structure models

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

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

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

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


Creative Commons Attribution 4.0 International

JRC Hydro-power plants database

The role of new nuclear power in the UK's net-zero emissions energy system


PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

Deep Residual Learning for Image Recognition

Aggregated Residual Transformations for Deep Neural Networks

Designing Network Design Spaces

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units