A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Multimodal dynamics modeling for off-road autonomous vehicles

MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents

Discriminative Multimodal Learning via Conditional Priors in Generative Models


Deep neural networks learn general and clinically relevant representations of the ageing brain

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

Considerations on brain age predictions from repeatedly sampled data across time


The author's officially unofficial Pytorch EvolutionaryGAN implementation.

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

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


HAM

Listening between the Lines: Learning Personal Attributes from Conversations

RedDust: a Large Reusable Dataset of Reddit User Traits

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

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


Video Noise Contrastive Estimation

Improved Baselines with Momentum Contrastive Learning

Self-Supervised Learning of Pretext-Invariant Representations

Watching the World Go By: Representation Learning from Unlabeled Videos

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving


[CVPR2023] All in One: Exploring Unified Video-Language Pre-training

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering


Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels

Additive Margin Softmax for Face Verification

Circle Loss: A Unified Perspective of Pair Similarity Optimization

Proxy Anchor Loss for Deep Metric Learning


Realistic Lens Blur/Chromatic Aberration Filter

RGB Cameras Failures and Their Effects in Autonomous Driving Applications

Robust Traffic Sign Recognition Against Camera Failures

IEEE Open Journal of Intelligent Transportation Systems

Tolerate Failures of the Visual Camera With Robust Image Classifiers


Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

The ASHRAE Great Energy Predictor III competition: Overview and results

Science and Technology for the Built Environment

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting


CUDA implementation of Hierarchical Navigable Small World Graph algorithm

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Efficient Large-scale Approximate Nearest Neighbor Search on the GPU

Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform


Multi-Graph Convolutional Neural Networks

Deep Learning on Graphs: A Survey

Graph Convolutional Matrix Completion

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

A federated graph neural network framework for privacy-preserving personalization

Graph Learning based Recommender Systems: A Review

Inductive Graph Neural Networks for Spatiotemporal Kriging

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Scalable Probabilistic Matrix Factorization with Graph-Based Priors

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

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder


【Code of CVPR2021 paper】Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration

IEEE transactions on visualization and computer graphics

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


2018AIOps: The 1st match for AIOps

Deep Contrastive One-Class Time Series Anomaly Detection

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection

Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data

CARLA: Self-supervised contrastive representation learning for time series anomaly detection

Label-Efficient Interactive Time-Series Anomaly Detection


(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Graceful Degradation and Related Fields

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


KCWI data reduction pipeline. Developers: Don Neill, Matt Matuszewski, Chris Martin (Caltech)

Optically thin spatially resolved Mg II emission maps the escape of ionizing photons

Monthly notices of the Royal Astronomical Society

Circumgalactic Mg ii Emission from an Isotropic Starburst Galaxy Outflow Mapped by KCWI

Extreme chemical abundance ratio suggesting an exotic origin for an ultradiffuse galaxy

Spatially Resolved Stellar Kinematics of the Ultra-diffuse Galaxy Dragonfly 44. II. Constraints on Fuzzy Dark Matter

Integral Field Spectroscopy of Fast Outflows in Dwarf Galaxies with AGNs

The KBSS-KCWI survey: the connection between extended Ly alpha haloes and galaxy azimuthal angle at z similar to 2-3

Monthly Notices of the Royal Astronomical Society

Revisiting the gas kinematics in SSA22 Lyman-α Blob 1 with radiative transfer modelling in a multiphase, clumpy medium

The CGM at Cosmic Noon with KCWI: Outflows from a Star-forming Galaxy at z = 2.071

A complex multiphase DLA associated with a compact group at z = 2.431 traces accretion, outflows, and tidal streams

Inspiraling streams of enriched gas observed around a massive galaxy 11 billion years ago


Deep Implicit Coordination Graphs

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent
  Reinforcement Learning


Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"

Synthetic CT Skull Generation for Transcranial MR Imaging-Guided Focused Ultrasound Interventions with Conditional Adversarial Networks

Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures

Journal of medical imaging (Bellingham, Wash.)

Evaluation of Synthetically Generated CT for use in Transcranial Focused Ultrasound Procedures


MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators


code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

PGMAN: An Unsupervised Generative Multiadversarial Network for Pansharpening


Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

YORC: Yoruba Reading Comprehension dataset


Plant small RNA target prediction tool

Genome-Wide Identification of Circular RNAs in Arabidopsis thaliana

Small RNAs from the wheat stripe rust fungus (Puccinia striiformis f.sp. tritici)

P-SAMS: a web site for plant artificial microRNA and synthetic trans-acting small interfering RNA design

Whole-Transcriptome RNA Sequencing Reveals the Global Molecular Responses and CeRNA Regulatory Network of mRNAs, lncRNAs, miRNAs and circRNAs in Response to Salt Stress in Sugar Beet (Beta vulgaris)

International journal of molecular sciences

Transcriptome-Wide Identification and Characterization of Circular RNAs in Leaves of Chinese Cabbage (Brassica rapa L. ssp. pekinensis) in Response to Calcium Deficiency-Induced Tip-burn

Long noncoding RNAs in the model species Brachypodium distachyon

A novel miRNA analysis framework to analyze differential biological networks

Identification of miRNA–mRNA Regulatory Modules Involved in Lipid Metabolism and Seed Development in a Woody Oil Tree (Camellia oleifera)

Identification of Grafting-Responsive MicroRNAs Associated with Growth Regulation in Pecan [Carya illinoinensis (Wangenh.) K. Koch]

Genome-wide identification of microRNAs involved in the somatic embryogenesis of Eucalyptus


A collection of RL algorithms written in JAX.

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

Soft Actor-Critic Algorithms and Applications

Distributional Reinforcement Learning with Quantile Regression

Implicit Quantile Networks for Distributional Reinforcement Learning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Soft Actor-Critic for Discrete Action Settings

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction


VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

Cross-task weakly supervised learning from instructional videos

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Non-Sequential Graph Script Induction via Multimedia Grounding

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube


Ultimate ATAC-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.

Fast gapped-read alignment with Bowtie 2

BEDTools: a flexible suite of utilities for comparing genomic features

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

Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities

A scaling normalization method for differential expression analysis of RNA-seq data

UMAP: Uniform Manifold Approximation and Projection

deepTools2: a next generation web server for deep-sequencing data analysis

MultiQC: summarize analysis results for multiple tools and samples in a single report

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

seaborn: statistical data visualization


source code of the paper Graphical Generative Adversarial Networks

Adversarially Learned Inference

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

From optimal transport to generative modeling: the VEGAN cookbook


Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Better Sign Language Translation with STMC-Transformer

Sign Language Translation with Transformers.

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation


Python interface for the simple global climate carbon-cycle model Hector

pyhector: A Python interface for the simple climate model Hector


A Survey on Causal Inference

Representation Learning for Treatment Effect Estimation from Observational Data

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

A Survey of Deep Causal Models and Their Industrial Applications

Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

Causal Effect Estimation using Variational Information Bottleneck

Adversarial Distribution Balancing for Counterfactual Reasoning


benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

HINT: Hierarchical interaction network for clinical-trial-outcome predictions

Uncertainty Quantification on Clinical Trial Outcome Prediction

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data

TDC-2: Multimodal Foundation for Therapeutic Science

Language Interaction Network for Clinical Trial Approval Estimation


Source code for the Self-Paced Deep Reinforcement Learning Experiments

Self-Paced Deep Reinforcement Learning

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning


Text Summarization for Research Papers

Text Summarization with Pretrained Encoders

A Supervised Approach to Extractive Summarisation of Scientific Papers

Data-driven Summarization of Scientific Articles


Code to calculate the crystal field Hamiltonian of magnetic ions.

Ni2Mo3O8 : Complex antiferromagnetic order on a honeycomb lattice

Crystal-field Hamiltonian and anisotropy in KErSe 2 and CsErSe 2

Data mining, dashboard and statistical analysis: a powerful framework for the chemical design of molecular nanomagnets

Crystal field levels and magnetic anisotropy in the kagome compounds Nd3Sb3Mg2O14 , Nd3Sb3Zn2O14 , and Pr3Sb3Mg2O14

Single-ion properties of the transverse-field Ising model materialCoNb2O6


A Data-Driven Graph Generative Model for Temporal Interaction Networks

DYMOND: DYnamic MOtif-NoDes Network Generative Model

Generating fine-grained surrogate temporal networks

Using Motif Transitions for Temporal Graph Generation

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

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series


National Electricity Market Emissions Data Tool


The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1-mt) and human written translation and evaluation data.

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs

A Preference-driven Paradigm for Enhanced Translation with Large Language Models

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models


crop classification using deep learning on satellite images


Atomic interaction potentials based on artificial neural networks

Recent advances and applications of deep learning methods in materials science

Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials

AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentials.

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

AI-Aided Mapping of the Structure-Composition-Conductivity Relationships of Glass-Ceramic Lithium Thiophosphate Electrolytes


A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control


Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

Diffusion Models Beat GANs on Image Synthesis

Equivariant Energy-Guided SDE for Inverse Molecular Design

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation

SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation


Easy domain adaptation method for filling the species gap in deep learning-based fruit detection

Lightweight Fruit-Detection Algorithm for Edge Computing Applications

CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism

Prediction of Harvest Time of Tomato Using Mask R-CNN


A repository to quickly generate synthetic data and associated trojaned deep learning models

Trigger Hunting with a Topological Prior for Trojan Detection

Topological Detection of Trojaned Neural Networks

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

Detecting Trojaned DNNs Using Counterfactual Attributions

Learning Topological Representations for Deep Image Understanding


Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery

A tutorial on modelling and inference in undirected graphical models for hyperspectral image analysis

EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery


Repository for all AMR preprocessing and postprocessing scripts

Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations

Improving AMR Parsing with Sequence-to-Sequence Pre-training

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

Dealing with Co-reference in Neural Semantic Parsing

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation

Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution

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

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics


Download and pre-processing of ROAD dataset

ROAD: The Road Event Awareness Dataset for Autonomous Driving

ROAD-R: the autonomous driving dataset with logical requirements

Machine Learning with Requirements: a Manifesto


Python Based Auxiliary-Field Quantum Monte Carlo

Unbiasing fermionic quantum Monte Carlo with a quantum computer

A phaseless auxiliary-field quantum Monte Carlo perspective on the uniform electron gas at finite temperatures: Issues, observations, and benchmark study

Stochastic resolution-of-the-identity auxiliary-field quantum Monte Carlo: Scaling reduction without overhead

ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs

Constrained-path auxiliary-field quantum Monte Carlo for coupled electrons and phonons

Spectral Functions from Auxiliary-Field Quantum Monte Carlo without Analytic Continuation: The Extended Koopmans' Theorem Approach.

Journal of chemical theory and computation

Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems


Question Answering as Global Reasoning over Semantic Abstractions (AAAI-18)

Answering Complex Questions Using Open Information Extraction

Reasoning-Driven Question-Answering for Natural Language Understanding


Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Deep Learning using Linear Support Vector Machines

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification


[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)

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

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Untangling in Invariant Speech Recognition

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

A Maturational Frequency Discrimination Deficit May Explain Developmental Language Disorder

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds


A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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

One TTS Alignment to Rule Them All

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech


WSDM'2021, PROP and SIGIR'2021,B-PROP

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval

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


State-of-the-Art Language Modeling and Text Classification in Hindi Language

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

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

iNLTK: Natural Language Toolkit for Indic Languages

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

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

CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation

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

When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT

International Conference on Computational Linguistics


Compute mean telomere length from Whole Genome Sequencing data.

Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data

Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma


RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

Change Matters: Medication Change Prediction with Recurrent Residual Networks

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

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

Attention-based neural networks for clinical prediction modelling on electronic health records


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


Preprints from the BDI Pathogen Dynamics team regarding digital contact tracing and other non-pharmaceutical interventions for Covid-19. More details on our website:

Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19

Bidirectional contact tracing could dramatically improve COVID-19 control

A population-based controlled experiment assessing the epidemiological impact of digital contact tracing

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

From Pandemic Control to Data-Driven Governance: The Case of China’s Health Code

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran

International journal of environmental research and public health

Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models

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

Large-scale calibration and simulation of COVID-19 epidemiologic scenarios to support healthcare planning


Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.

LoRAS: An oversampling approach for imbalanced datasets

A multi-schematic classifier-independent oversampling approach for imbalanced datasets

A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios


Dataset and baseline for the first Audiocaption task

Clotho: An Audio Captioning Dataset

Audio Caption: Listen and Tell

International Conference on Acoustics, Speech, and Signal Processing

Audio Caption in a Car Setting with a Sentence-Level Loss

What does a Car-ssette tape tell?


Muller diagrams excel at visualizing evolutionary dynamics of a population over time.  A common use case, and the intended use case during development, describes the abundance and succession of genotypes within a population derived from  sequencing data from samples at specified timepoints.  This provides a useful method of quickly discerning the evolutionary relationship between genotypes seen in a population and how this changes over time.

Parallel Evolution of Tobramycin Resistance across Species and Environments

On-person adaptive evolution of Staphylococcus aureus during treatment for atopic dermatitis

Intermittent antibiotic treatment of bacterial biofilms favors the rapid evolution of resistance

Rapid adaptation of a complex trait during experimental evolution of Mycobacterium tuberculosis

Parallel genetic adaptation of Bacillus subtilis to different plant species

Species and condition shape the mutational spectrum in experimentally evolved biofilms

Following the Trail of One Million Genomes: Footprints of SARS-CoV-2 Adaptation to Humans

Streptococcus pneumoniae favors tolerance via metabolic adaptation over resistance to circumvent fluoroquinolones


This contains an evolving dataset of fake and real images shared in social media.

Discover Your Social Identity from What You Tweet: A Content Based Approach

Detection and visualization of misleading content on Twitter

International Journal of Multimedia Information Retrieval

Combating Disinformation in a Social Media Age

Visual and Textual Analysis for Image Trustworthiness Assessment within Online News

Misleading Metadata Detection on YouTube

VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias

A unified approach of detecting misleading images via tracing its instances on web and analyzing its past context for the verification of multimedia content

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies


An Efficient Chinese Text Classifier

Towards a Robust Deep Neural Network in Texts: A Survey

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization

Super Characters: A Conversion from Sentiment Classification to Image Classification

A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU

Journal of Organizational and End User Computing

Datasets for Large Language Models: A Comprehensive Survey

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension

ClusTop: An unsupervised and integrated text clustering and topic extraction framework


Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

mixup: Beyond Empirical Risk Minimization

Relation Networks for Object Detection

Towards Real-Time Multi-Object Tracking

Argus: Efficient Activity Detection System for Extended Video Analysis

2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


a "minimal buy-in" FITS library and utility package for astronomical data analysis

The HIX galaxy survey I: Study of the most gas rich galaxies from HIPASS

Monthly Notices of the Royal Astronomical Society

X-Ray Variability from the Ultraluminous Black Hole Candidate X-Ray Binary in the Globular Cluster RZ 2109

A Multi-band Study of the Remarkable Jet in Quasar 4C+19.44

Centaurus A: constraints on the nature of the giant lobe filaments from XMM-Newton observations

Optical and X-ray Follow-Up to a Globular Cluster Ultraluminous X-ray Source in NGC 4472


Play deep learning with CIFAR datasets

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

Towards Training Reproducible Deep Learning Models

Proceedings of the 44th International Conference on Software Engineering

Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Compression strategies and space-conscious representations for deep neural networks

Compact representations of convolutional neural networks via weight pruning and quantization

Detecting Deep Neural Network Defects with Data Flow Analysis


Adversarial Threat Landscape for AI Systems

Sponge Examples: Energy-Latency Attacks on Neural Networks

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Holistic Adversarial Robustness of Deep Learning Models

The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks

NLP-Based Techniques for Cyber Threat Intelligence

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks

Mental Models of Adversarial Machine Learning

A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models


Code release for ActionFormer (ECCV 2022)

ActionFormer: Localizing Moments of Actions with Transformers

UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization

Proceedings of the 31st ACM International Conference on Multimedia

Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge

NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023

FineBio: A Fine-Grained Video Dataset of Biological Experiments with
  Hierarchical Annotation

SnAG: Scalable and Accurate Video Grounding


Short read de novo assembler using de Bruijn graphs, as published in: D.R. Zerbino and E. Birney. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Research, 18: 821-829

A New Israeli Tobamovirus Isolate Infects Tomato Plants Harboring Tm-22 Resistance Genes

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Integrating long-range connectivity information into de Bruijn graphs

Sensitivity of Small RNA-Based Detection of Plant Viruses

High Diversity of Novel Viruses in the Tree Pathogen Phytophthora castaneae Revealed by High-Throughput Sequencing of Total and Small RNA

De Novo Assembly and Characterization of the Invasive Northern Pacific Seastar Transcriptome

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

Exon-based Phylogenomics and the Relationships of African Cichlid Fishes: Tackling the Challenges of Reconstructing Phylogenies with Repeated Rapid Radiations

De novo genome assembly of Bacillus altitudinis 19RS3 and Bacillus altitudinis T5S-T4, two plant growth-promoting bacteria isolated from Ilex paraguariensis St. Hil. (yerba mate)

Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments


GoldenEye Layer 7 (KeepAlive+NoCache) DoS Test Tool

Machine Learning DDoS Detection for Consumer Internet of Things Devices

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset

Trusted Multi-Domain DDoS Detection Based on Federated Learning


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

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

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


Robust Neural Posterior Estimation and Statistical Model Criticism

Misspecification-robust Sequential Neural Likelihood

Rapid parameter estimation for pulsar-timing-array datasets with
  variational inference and normalizing flows


A Python 3 gradient-free optimization library

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

CMA-ES with margin

Proceedings of the Genetic and Evolutionary Computation Conference

A case learning-based differential evolution algorithm for global optimization of interplanetary trajectory design

Fast Moving Natural Evolution Strategy for High-Dimensional Problems


A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Weight Uncertainty in Neural Networks

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Laplace Redux - Effortless Bayesian Deep Learning

Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

Laplace Redux -- Effortless Bayesian Deep Learning

Incorporating Unlabelled Data into Bayesian Neural Networks

Do Bayesian Variational Autoencoders Know What They Don't Know?

Robust Cross-domain CT Image Reconstruction via Bayesian Noise Uncertainty Alignment

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models


A genome assembler that reduces the computational time of human genome assembly from 400,000 CPU hours to 2,000 CPU hours, utilizing long erroneous 3GS sequencing reads and short accurate NGS sequencing reads.

DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

HASLR: Fast Hybrid Assembly of Long Reads

New High-Quality Draft Genome of the Brown Rot Fungal Pathogen Monilinia fructicola

Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae)

Population Genomic Approaches for Weed Science

Hybrid Genome Assembly and Evidence-Based Annotation of the Egg Parasitoid and Biological Control AgentTrichogramma brassicae

Comparative analysis of 84 chloroplast genomes of Tylosema esculentum reveals two distinct cytotypes


Pyproffit is a Python code for the analysis of X-ray brightness profiles from clusters of galaxies

Low-scatter galaxy cluster mass proxies for the eROSITA all-sky survey

HSC-XXL: Baryon budget of the 136 XXL groups and clusters

Toward a characterization of X-ray galaxy clusters for cosmology

The Planck clusters in the LOFAR sky. III. LoTSS-DR2: Dynamic states and density fluctuations of the intracluster medium

The XXL Survey XLIV. Sunyaev-Zel'dovich mapping of a low-mass cluster at z~1: a multi-wavelength approach

HAL (Le Centre pour la Communication Scientifique Directe)

Setting the scene for BUFFALO: a study of the matter distribution in the HFF galaxy cluster MACS J0416.1−2403 and its parallel field

Re-energisation of AGN head-tail radio galaxies in the galaxy cluster ZwCl0634.1+47474

The complex intracluster medium of Abell 1569 and its interaction with central radio galaxies

Scaling relations of X-ray luminous clusters in the Hyper Suprime-Cam Subaru Strategic Program field


An adaptive optics simulation package. Yao is a yorick plugin. Many of the core routines are written in C, which makes it very fast.

Gemini multiconjugate adaptive optics system review - I. Design, trade-offs and integration

Overcoming the effect of pupil distortion in multiconjugate adaptive optics

SOWAT: Speckle Observations with Alleviated Turbulence

Publications of the Astronomical Society of the Pacific


Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models

Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation

Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Can Synthetic Translations Improve Bitext Quality?

Using Neural Machine Translation for Generating Diverse Challenging Exercises for Language Learner

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

A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content

European Association for Machine Translation Conferences/Workshops

Does mBERT understand Romansh? Evaluating word embeddings using word alignment


DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Network Traffic Classification based on Single Flow Time Series Analysis

NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification


Earth Engine SSEBop ET Model

Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin

Satellite Psychrometric Formulation of the Operational Simplified SURFACE ENERGY BALANCE (SSEBOP) MODEL FOR QUANTIFYING AND MAPPING EVAPOTRANSPIRATION

Satellite-based water use dynamics using historical Landsat data (1984-2014) in the southwestern United States

Long-Term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration

Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration


A flexible framework for anomaly detection in astronomy.

Astronomaly: Personalised active anomaly detection in astronomical data

Unsupervised machine learning for transient discovery in deeper, wider, faster light curves

A unique, ring-like radio source with quadrilateral structure detected with machine learning

Self-supervised contrastive learning of radio data for source detection,
  classification and peculiar object discovery


Bayesian AGN Decomposition Analysis for SDSS Spectra

Bayesian AGN Decomposition Analysis for SDSS spectra: a correlation analysis of [O iii] λ5007 outflow kinematics with AGN and host galaxy properties

An increase in black hole activity in galaxies with kinematically misaligned gas

Galaxy pairs in the Sloan Digital Sky Survey – XV. Properties of ionized outflows

Narrow-line Seyfert 1 galaxies in Sloan Digital Sky Survey: a new optical spectroscopic catalogue

The US Naval Observatory VLBI Spectroscopic Catalog

The Astrophysical Journal Supplement Series

VaDAR: Varstrometry for Dual AGN Using Radio Interferometry

The Messy Nature of Fiber Spectra: Star-Quasar Pairs Masquerading as Dual Type 1 AGNs


iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.

Choose a Transformer: Fourier or Galerkin

MooAFEM: An object oriented Matlab code for higher-order adaptive FEM for (nonlinear) elliptic PDEs

Error Analysis of a Decoupled Finite Element Method for Quad-Curl Problems

A new numerical method for div-curl systems with low regularity assumptions

Geometric Decomposition and Efficient Implementation of High Order Face and Edge Elements

Reduced Order Model Enhanced Source Iteration with Synthetic
  Acceleration for Parametric Radiative Transfer Equation

A Bootstrap Multigrid Eigensolver

A simple virtual element-based flux recovery on quadtree


For shallow-water Lagrangian particle routing.


Graph Network Simulator

Learning to Simulate Complex Physics with Graph Networks

Learning Mesh-Based Simulation with Graph Networks

Graph Neural Network-based surrogate model for granular flows

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Inverse analysis of granular flows using differentiable graph neural network simulator


Speech enhancement system for the CHiME-5 dinner party scenario

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription

GPU-accelerated Guided Source Separation for Meeting Transcription


Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES)


H2O.ai Machine Learning Interpretability Resources

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Question-Driven Design Process for Explainable AI User Experiences

On the Art and Science of Machine Learning Explanations


Short Read Connector (SRC)

A de novo approach to disentangle partner identity and function in holobiont systems

A resource-frugal probabilistic dictionary and applications in bioinformatics

Minimal perfect hash functions in large scale bioinformatics Problem


NRG Ljubljana is a numerical renormalization group implementation for solving quantum impurity problems in theoretical physics

Iron phthalocyanine on Au(111) is a "non-Landau" Fermi liquid

Topological quantum phase transition of nickelocene on Cu(100)

Josephson potentials for single impurity Anderson impurity in a junction between two superconductors

Zenodo (CERN European Organization for Nuclear Research)


MIRTK based SVR reconstruction

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI

Fetal whole heart blood flow imaging using 4D cine MRI

Fetal whole‐heart 4D imaging using motion‐corrected multi‐planar real‐time MRI

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction

Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

Total and Regional Brain Volumes in Fetuses With Congenital Heart Disease

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlas

medRxiv : the preprint server for health sciences


Thot toolkit for statistical machine translation

The New Thot Toolkit for Fully-Automatic and Interactive Statistical Machine Translation

Conference of the European Chapter of the Association for Computational Linguistics

Online Learning for Statistical Machine Translation

International Conference on Computational Logic

Online Automatic Post-editing for MT in a Multi-Domain Translation Environment

Automatic Post-Editing for Machine Translation

Instance Selection for Online Automatic Post-Editing in a multi-domain scenario

Conference of the Association for Machine Translation in the Americas


LSMS is a code for scalable first principles calculations of materials using multiple scattering theory.

Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

Machine Learning: Science and Technology

Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials

First-principles residual resistivity using a locally self-consistent multiple scattering method


Minterpy - Multivariate interpolation in Python.

Extraction of the frequency moments of spectral densities from imaginary-time correlation function data

Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions

Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power

Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces

High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations

High-order numerical integration on regular embedded surfaces


SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions

Spectrahedral Containment and Operator Systems with Finite-Dimensional Realization

SIAM Journal on applied algebra and geometry

Type-Independent Characterization of Spacelike Separated Resources.

Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data

Semi-definite programming and quantum information

On the general constraints in single qubit quantum process tomography

Measures and LMIs for Adaptive Control Validation

Semidefinite programming relaxations for quantum correlations

Model reduction of linear hybrid systems


Python library to train neural networks with a strong focus on hydrological applications.

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models

Deep learning rainfall-runoff predictions of extreme events

Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Benchmarking Data-Driven Rainfall-Runoff Models in GreatBritain: A comparison of LSTM-based models with four lumpedconceptual models


Backdoor Defense via Decoupling the Training Process

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

Towards Stable Backdoor Purification through Feature Shift Tuning

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor
  Learning

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering


AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. ai4climatecoop.org

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU


DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

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

A universal SNP and small-indel variant caller using deep neural networks

Resistance of SARS-CoV-2 variants to neutralization by monoclonal and serum-derived polyclonal antibodies

A draft human pangenome reference

Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Benchmarking challenging small variants with linked and long reads

Semi-automated assembly of high-quality diploid human reference genomes

DeepTrio: Variant Calling in Families Using Deep Learning


Medical Concept Annotation Tool

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset

MedCAT -- Medical Concept Annotation Tool

Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Review of Natural Language Processing in Pharmacology

Towards Generalizable Methods for Automating Risk Score Calculation

Workshop on Biomedical Natural Language Processing

MedMine: Examining Pre-trained Language Models on Medication Mining

Validating transformers for redaction of text from electronic health records in real-world healthcare

Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools


Supernova Analysis package

The Pantheon+ Analysis: The Full Dataset and Light-Curve Release

The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

Monthly Notices of the Royal Astronomical Society

SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

Fink: early supernovae Ia classification using active learning

Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era

The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

Binning is Sinning: Redemption for Hubble Diagram Using Photometrically Classified Type Ia Supernovae


A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

Neural Attention-driven Non-Maximum Suppression for Person Detection

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

Co-speech gestures for human-robot collaboration

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images

Efficient Online Processing with Deep Neural Networks


state-of-the-art gaze tracking model

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

Few-Shot Adaptive Gaze Estimation

Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

Appearance-Based Gaze Estimation Using Dilated-Convolutions

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

Learning to Personalize in Appearance-Based Gaze Tracking

Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition


Learning to Auto-Complete using RNN Language Models

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Learning Python Code Suggestion with a Sparse Pointer Network

The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python


Variational Autoencoder with Arbitrary Conditioning

Missing Data Imputation using Optimal Transport

Flow Models for Arbitrary Conditional Likelihoods

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features

Conditional Generative Model Based Predicate-Aware Query Approximation

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

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network


Description of the numerical weather prediction products at MET Norway

Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling

First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea

International journal of environmental research and public health

Analysis of Spatial Decorrelation of Small-Scale Tropospheric Delay Using High-Resolution NWP Data

Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint


3rd place solution for the Deepfake Detection Challenge on Kaggle

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

Assessment Framework for Deepfake Detection in Real-world Situations

Robust Deepfake On Unrestricted Media: Generation And Detection

The defalsif-AI project: protecting critical infrastructures against disinformation and fake news

e+i Elektrotechnik und Informationstechnik

Cross-Domain Local Characteristic Enhanced Deepfake Video Detection


Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement

Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement.

TENET: A Time-reversal Enhancement Network for Noise-robust ASR


PyTorch implementation of GAIL and AIRL based on PPO.

Proximal Policy Optimization Algorithms

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

Soft Actor-Critic Algorithms and Applications

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning


Python scripts for building 'Short Jokes' dataset, featured on Kaggle

Style is NOT a single variable: Case Studies for Cross-Style Language Understanding

From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey

Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor


Error correction for Oxford Nanopore data

Oxford Nanopore sequencing, hybrid error correction, and de novo assembly of a eukaryotic genome

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

A comparative evaluation of hybrid error correction methods for error-prone long reads

Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies

International journal of molecular sciences

Characterization, correction and de novo assembly of an Oxford Nanopore genomic dataset from Agrobacterium tumefaciens

NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm


Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

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

Small Language Models Learn Enhanced Reasoning Skills from Medical
  Textbooks

Hippocrates: An Open-Source Framework for Advancing Large Language
  Models in Healthcare


Automatically exported from code.google.com/p/sports-1m-dataset

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Video Activity Recognition: State-of-the-Art

CNN-VWII: An efficient approach for large-scale video retrieval by image queries

A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data


Modality-Agnostic Attention Fusion for visual search with text feedback

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Training and challenging models for text-guided fashion image retrieval


Pretrained SimCLRv2 models in Pytorch

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

Temperature as Uncertainty in Contrastive Learning

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?


face keypoints deteciton based on stackedhourglass

Mask R-CNN

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Stacked Hourglass Networks for Human Pose Estimation

Associative Embedding: End-to-End Learning for Joint Detection and Grouping


Sparse-input neural networks

Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Ensembled sparse-input hierarchical networks for high-dimensional datasets

A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks


Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

Lero: A Learning-to-Rank Query Optimizer


Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Transforming Question Answering Datasets Into Natural Language Inference Datasets

Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model


Beyond Low-frequency Information in Graph Convolutional Networks

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks

MarkovGNN: Graph Neural Networks on Markov Diffusion

Improving Signed Propagation for Graph Neural Networks


3D city model viewer for Mac

Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

ISPRS International Journal of Geo-Information

Reference study of IFC software support: The GeoBIM benchmark 2019—Part I

A DATA STRUCTURE TO INCORPORATE VERSIONING IN 3D CITY MODELS

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

Multisource spatial data integration for use cases applications

Visualising higher-dimensional space-time and space-scale objects as projections to ℝ^3


TTT Code Release

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


Estimate the autocorrelation time of time-series data very quickly

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

CosmoHammer: Cosmological parameter estimation with the MCMC Hammer

Comparison of sampling techniques for Bayesian parameter estimation

INFERRING THE GRAVITATIONAL POTENTIAL OF THE MILKY WAY WITH A FEW PRECISELY MEASURED STARS

K2-264: a transiting multiplanet system in the Praesepe open cluster

Monthly notices of the Royal Astronomical Society

The First Day in the Life of a Magnetar: Evolution of the Inclination Angle, Magnetic Dipole Moment, and Braking Index of Millisecond Magnetars during Gamma-Ray Burst Afterglows

K2-288Bb: A Small Temperate Planet in a Low-mass Binary System Discovered by Citizen Scientists

Spitzer Transit Follow-up of Planet Candidates from the K2 Mission

A multi-scale sub-voxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data

Bayes Factors via Savage-Dickey Supermodels


[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

Making Pre-trained Language Models Better Few-shot Learners

NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Towards Unified Prompt Tuning for Few-shot Text Classification

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Revisiting k-NN for Fine-tuning Pre-trained Language Models


Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models

Neural Priming for Sample-Efficient Adaptation


Random Number Generator NIST Test Suite framework for python 3.6 - SAILab - University of Siena

Pseudo Random Number Generation: a Reinforcement Learning approach

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks


A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Adversarial Learning for Semi-Supervised Semantic Segmentation

Semi-supervised semantic segmentation needs strong, varied perturbations

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

DMT: Dynamic mutual training for semi-supervised learning

Learning to Annotate Part Segmentation with Gradient Matching


GPU-specialized parameter server for GPU machine learning.

The Non-IID Data Quagmire of Decentralized Machine Learning

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data

MLtuner: System Support for Automatic Machine Learning Tuning


This is a R-based package for performing a range of delay discounting analyses and procedures.

An alternative approach to calculating Area‐Under‐the‐Curve (AUC) in delay discounting research

Journal of the experimental analysis of behavior

Accurate characterization of delay discounting: a multiple model approach using approximate Bayesian model selection and a unified discounting measure.

The discounting model selector: Statistical software for delay discounting applications.

Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research


A Watermark for Large Language Models

Provable Robust Watermarking for AI-Generated Text

On the Reliability of Watermarks for Large Language Models

Three Bricks to Consolidate Watermarks for Large Language Models

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models


A temporal ordering system for events and time expressions in written text.

Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource

Neural Language Modeling for Contextualized Temporal Graph Generation

Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding

This before That: Causal Precedence in the Biomedical Domain

Inducing Temporal Relations from Time Anchor Annotation

North American Chapter of the Association for Computational Linguistics

Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors

Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction

Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering


MATJAGS, a Matlab interface for JAGS

The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls

The development of retro-cue benefits with extensive practice: Implications for capacity estimation and attentional states in visual working memory


CLIPScore EMNLP code

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

Progressive Class Semantic Matching for Semi-supervised Text Classification

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification

Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization

Findings of the Association for Computational Linguistics: EMNLP 2021


The Aging Metabolome—Biomarkers to Hub Metabolites

CPT2 K79 acetylation regulates platelet life span


An Open-source Streaming High-fidelity Neural Audio Codec

Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec

IEEE International Conference on Acoustics, Speech, and Signal Processing

WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum
  Encoding and Decoding

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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


CMUdict maintenance, and tools

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

Challenging the Boundaries of Speech Recognition: The MALACH Corpus

Towards multilingual end‐to‐end speech recognition for air traffic control

When CTC Training Meets Acoustic Landmarks

Train & Constrain: Phonologically Informed Tongue-Twister Generation
  from Topics and Paraphrases

Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)

Workshop on Representation Learning for NLP


An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER

UNITER: UNiversal Image-TExt Representation Learning

VisualBERT: A Simple and Performant Baseline for Vision and Language

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Toward Unsupervised Realistic Visual Question Answering


Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer

Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features

Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review

Block shuffling learning for Deepfake Detection

Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

Numerical Analysis and Optimization Application Trend of Deepfake Video Inspection Technology

Multisemantic Path Neural Network for Deepfake Detection


De novo VIral Genome Annotator

Phage Annotation Guide: Guidelines for Assembly and High-Quality Annotation

Isolation of a Novel Jumbo Bacteriophage Effective Against Klebsiella aerogenes

VIGA: a sensitive, precise and automatic de novo VIral Genome Annotator

Bacteriophages Roam the Wheat Phyllosphere


A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Deep Learning on Graphs: A Survey

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


A multi-planet Radial Velocity and Transit modelling software

pyaneti: a fast and powerful software suite for multiplanet radial velocity and transit fitting

PYANETI - II. A multidimensional Gaussian process approach to analysing spectroscopic time-series

The transiting multi-planet system HD3167: a 5.7 MEarth Super-Earth and a 8.3 MEarth mini-Neptune

Two Intermediate-mass Transiting Brown Dwarfs from the TESS Mission

Super-Earth of 8 Mearth in a 2.2-day orbit around the K5V star K2-216

One year of AU Mic with HARPS – I. Measuring the masses of the two transiting planets

Monthly Notices of the Royal Astronomical Society

Greening of the Brown Dwarf Desert. EPIC 212036875 b – a 51 M_J object in a 5 day orbit around an F7 V star

K2-139 b: a low-mass warm Jupiter on a 29-d orbit transiting an active K0 V star

Detection and Doppler monitoring of K2-285 (EPIC 246471491), a system of four transiting planets smaller than Neptune

The GAPS Programme at TNG


Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

Universal Language Model Fine-tuning for Text Classification

Regularizing and Optimizing LSTM Language Models

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Empirical Methods in Natural Language Processing

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification


Pseudo-spectral Python code to compute ultralight dark matter dynamics.

Simulating mixed fuzzy and cold dark matter

PyUltraLight: a pseudo-spectral solver for ultralight dark matter dynamics

Journal of Cosmology and Astroparticle Physics

Single and merger soliton dynamics in scalar field dark matter with and
  without self-interactions


Official implementation of  HIH:Towards More Accurate Face Alignment via Heatmap in Heatmap

Revisting Quantization Error in Face Alignment

International Conference on Computer Vision

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

A survey and classification of face alignment methods based on face models


MP2RAGE Scripts - T1 map correction & Background noise removal

The impact of B1+ correction on MP2RAGE cortical T 1 and apparent cortical thickness at 7T

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development

Examples of sub-millimeter, 7T, T1-weighted EPI datasets acquired with the T123DEPI sequence

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

Optimization of acquisition parameters for cortical inhomogeneous magnetization transfer (ihMT) imaging using a rapid gradient echo readout


ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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


This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

EmpHi: Generating Empathetic Responses with Human-like Intents

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


Image super-resolution through deep learning

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

Pixel Recursive Super Resolution

Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning

Generator From Edges: Reconstruction of Facial Images


Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

pPython for Parallel Python Programming


Conducting and Visualizing Specification Curve Analyses

Neural indicators of food cue reactivity, regulation, and valuation and their associations with body composition and daily eating behavior

Social Cognitive and Affective Neuroscience

Mindsets of conspiracy: A typology of affinities towards conspiracy myths in digital environments

Convergence: The International Journal of Research into New Media Technologies

Beyond Screen Time: Exploring the Associations between Types of Smartphone Use Content and Adolescents’ Social Relationships

International journal of environmental research and public health

Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study

Be Yourself and Behave Appropriately: Exploring Associations Between Incongruent Personality States and Positive Affect, Tiredness, and Cognitive Performance


PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (https://arxiv.org/abs/2105.03814).

A Modern Primer on Processing in Memory

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware

Casper: Accelerating Stencil Computations Using Near-Cache Processing

Casper: Accelerating Stencil Computation using Near-cache Processing

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures

DaPPA: A Data-Parallel Framework for Processing-in-Memory Architectures

EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators


AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings

Arabic Named Entity Recognition: What Works and What's Next

Meeting of the Association for Computational Linguistics

Leveraging Knowledge-Based Features With Multilevel Attention Mechanisms for Short Arabic Text Classification

Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings

Relational Prompt-based Pre-trained Language Models for Social Event
  Detection


My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Attention Is All You Need

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Large Scale Legal Text Classification Using Transformer Models

Sequence Length is a Domain: Length-based Overfitting in Transformer Models

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

Transformer Models for Text Coherence Assessment

Context-based Transformer Models for Answer Sentence Selection

IrEne-viz: Visualizing Energy Consumption of Transformer Models

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


RoutedFusion: Learning Real-time Depth Map Fusion

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Online Learning of a Probabilistic and Adaptive Scene Representation


Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Compositional Foundation Models for Hierarchical Planning


UniRep model, usage, and examples.

Predicting the antigenic evolution of SARS-COV-2 with deep learning

Pretraining model for biological sequence data

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

Identification of plant vacuole proteins by exploiting deep representation learning features

Computational and structural biotechnology journal

Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


Implementation for "Large-scale Pretraining for Visual Dialog"  https://arxiv.org/abs/1912.02379

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions

Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms

Proceedings of the 25th Conference on Computational Natural Language Learning

Modeling Coreference Relations in Visual Dialog


VoiceSplit: Targeted Voice Separation by Speaker-Conditioned Spectrogram

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

SpeechX: Neural Codec Language Model as a Versatile Speech Transformer

DReLUs: Dual Rectified Linear Units.

Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models


Population assignment analysis using R

Applications of random forest feature selection for fine-scale genetic population assignment

Seascape genomics of eastern oyster (Crassostrea virginica) along the Atlantic coast of Canada

Assessing the potential of genotyping‐by‐sequencing‐derived single nucleotide polymorphisms to identify the geographic origins of intercepted gypsy moth (Lymantria dispar) specimens: A proof‐of‐concept study

Single Nucleotide Polymorphisms (SNPs) Reveal Sibship Among Founders of a Bangladeshi Rohu (Labeo rohita) Breeding Population

Erratum‐ Benestan et al. 2015


[CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"

Florence: A New Foundation Model for Computer Vision

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

K-LITE: Learning Transferable Visual Models with External Knowledge


PromptCBLUE: a large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain in Chinese

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Datasets for Large Language Models: A Comprehensive Survey

Overview of the PromptCBLUE Shared Task in CHIP2023

MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models

Text2MDT: Extracting Medical Decision Trees from Medical Texts

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models
  with Sparse Mixture of Low-Rank Adapter Experts


2 ~ 6 sets venn diagram for python

Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN

Genetic and phylogenetic analysis of dissimilatory iodate-reducing bacteria identifies potential niches across the world’s oceans

Toll-like Interleukin 1 Receptor Regulator Is an Important Modulator of Inflammation Responsive Genes

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools

Efficient and accurate detection of viral sequences at single-cell resolution reveals putative novel viruses perturbing host gene expression

bioRxiv : the preprint server for biology

Establishing comprehensive quaternary structural proteomes from genome sequence

Differential prolyl hydroxylation by six Physcomitrella prolyl-4 hydroxylases


A library for speech data augmentation in time-domain

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Wav2Vec-Aug: Improved self-supervised training with limited data

Improving Generalizability of Distilled Self-Supervised Speech Processing Models Under Distorted Settings

Toward Degradation-Robust Voice Conversion

Dualvc 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion

Synthetic speech detection using meta-learning with prototypical loss

Representation Learning With Hidden Unit Clustering for Low Resource Speech Applications

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion

ManWav: The First Manchu ASR Model


Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

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

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

Label-Only Model Inversion Attacks via Knowledge Transfer


Fast and easy exoplanet transit light curve modelling.

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

pytransit: fast and easy exoplanet transit modelling in python

Transiting exoplanet candidates from K2 Campaigns 5 and 6

The GTC exoplanet transit spectroscopy survey I: OSIRIS transmission spectroscopy of the short period planet WASP-43b

Multicolour photometry for exoplanet candidate validation

The Kepler-19 System: A Thick-envelope Super-Earth with Two Neptune-mass Companions Characterized Using Radial Velocities and Transit Timing Variations

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

Kepler-77b: a very low albedo, Saturn-mass transiting planet around a metal-rich solar-like star

The atmosphere and architecture of WASP-189 b probed by its CHEOPS phase curve

A PSF-based approach to Kepler/K2 data – II. Exoplanet candidates in Praesepe (M 44)


PyContinual (An Easy and Extendible Framework for Continual Learning)

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Continual Pre-training of Language Models

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks

Continual Learning of Natural Language Processing Tasks: A Survey

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks

Continual Training of Language Models for Few-Shot Learning

Continual Learning with Knowledge Transfer for Sentiment Classification

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks


A Mathematica Tracing Package Using FORM

FormTracer. A mathematica tracing package using FORM

Lorentzian quantum gravity and the graviton spectral function

On Gauge Consistency In Gauge-Fixed Yang-Mills Theory

QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations

Quantum Gravity from dynamical metric fluctuations


Protein Origami via Genetic Fusions

Designed proteins assemble antibodies into modular nanocages

Design of multi-scale protein complexes by hierarchical building block fusion

De novo design of obligate ABC-type heterotrimeric proteins

Computational design of non-porous pH-responsive antibody nanoparticles


Open source German transmission grid model based on OpenStreetMap

PyPSA-Eur: An open optimisation model of the European transmission system

RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system

Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool


Implementation of [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2]

Identity Mappings in Deep Residual Networks

Multimedia super-resolution via deep learning: A survey


Full-gradient saliency maps

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

International Journal of Computer Vision

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

SmoothGrad: removing noise by adding noise

Full-Gradient Representation for Neural Network Visualization

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning

Generating Attribution Maps with Disentangled Masked Backpropagation

IEEE International Conference on Computer Vision


Task generation for testing text understanding and reasoning

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient

BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack

Learning to Organize Knowledge with N-Gram Machines

Learning to Organize Knowledge and Answer Questions with N-Gram Machines


C Code generation for NMPC

Aerial navigation in obstructed environments with embedded nonlinear model predictive control

Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC

Real-Time Distributed Automation Of Road Intersections


Classifies galaxy morphology with Bayesian CNN

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

Practical galaxy morphology tools from deep supervised representation learning

Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys

A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification

Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy

Monthly notices of the Royal Astronomical Society

Scaling Laws for Galaxy Images

Galaxy Zoo DESI: Detailed Morphology Classifications for 8.7M Galaxies in the DESI Legacy Imaging Surveys

Zenodo (CERN European Organization for Nuclear Research)


Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch  (NeurIPS 2020)

Personalized Federated Learning with First Order Model Optimization

FedLab: A Flexible Federated Learning Framework

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

FedMe: Federated Learning via Model Exchange

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment

Federated Prompt Learning for Weather Foundation Models on Devices

MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes

A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy


Deep learning framework for atomistic image data

Recent advances and applications of deep learning methods in materials science

AtomVision: A Machine Vision Library for Atomistic Images

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design


A self-supervised domain-general learning framework for human ventral stream representation

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Video Face Clustering with Unknown Number of Clusters

Understanding Unequal Gender Classification Accuracy from Face Images

Bias, awareness, and ignorance in deep-learning-based face recognition

Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information

On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs

Composite recurrent network with internal denoising for facial alignment in still and video images in the wild

FRMDB: Face Recognition Using Multiple Points of View

Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey


ETNLP: A toolkit to evaluate, extract, and visualize multiple embeddings

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

PhoBERT: Pre-trained language models for Vietnamese

ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task

Predicting Job Titles from Job Descriptions with Multi-label Text Classification

National Foundation for Science and Technology Development Conference on Information and Computer Science

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.

An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension

International Conference on Communications


Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)


Make continuous reforestation part of your daily workflow :deciduous_tree:


Synaptic Plasticity with Online Reinforcement learning

Embodied Synaptic Plasticity With Online Reinforcement Learning

A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents

Closing the loop between neural network simulators and the OpenAI Gym


Heavy Workload on Reviewing Papers?  ReviewAdvisor Helps out

Can We Automate Scientific Reviewing?

Artificial intelligence technologies to support research assessment: A review

AcademicGPT: Empowering Academic Research


Learned in Translation: Contextualized Word Vectors

What do you learn from context? Probing for sentence structure in contextualized word representations

Stochastic Answer Networks for Machine Reading Comprehension

Stochastic Answer Networks for SQuAD 2.0

Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension

Leveraging Pre-trained Models for Failure Analysis Triplets Generation


Calculates the Variant Allele Fraction of variants in VCF files

Prediction of acute myeloid leukaemia risk in healthy individuals

Genomic Evolution of Breast Cancer Metastasis and Relapse

Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

Somatic mutation rates scale with lifespan across mammals

Clonal dynamics of haematopoiesis across the human lifespan

The longitudinal dynamics and natural history of clonal haematopoiesis

Life histories of myeloproliferative neoplasms inferred from phylogenies

In utero origin of myelofibrosis presenting in adult monozygotic twins

Lineage tracing of human embryonic development and foetal haematopoiesis through somatic mutations


Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics

The journal of physical chemistry letters

Deep learning for UV absorption spectra with SchNarc: First steps toward transferability in chemical compound space

Physically inspired deep learning of molecular excitations and photoemission spectra

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


The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

TADAM: Task dependent adaptive metric for improved few-shot learning

Learning from Few Samples: A Survey

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation


GraphXAI: Resource to support the development and evaluation of GNN explainers

Evaluating Explainability for Graph Neural Networks

Counterfactual Learning on Graphs: A Survey


Creative Commons Attribution 4.0 International

A collection of task-specific NLU datasets

Efficient Intent Detection with Dual Sentence Encoders

Benchmarking Natural Language Understanding Services for building Conversational Agents

Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations

Intent Mining from past conversations for conversational agent

Stable LM 2 1.6B Technical Report

NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue

Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

Unsupervised Layer-wise Score Aggregation for Textual OOD Detection

Split-and-Denoise: Protect large language model inference with local differential privacy

Adaptive Memory Replay for Continual Learning