A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

Biometric Face Presentation Attack Detection With Multi-Channel Convolutional Neural Network

IEEE transactions on information forensics and security

Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition

Disentangled Variational Representation for Heterogeneous Face Recognition

Deep Learning for Face Recognition: Pride or Prejudiced?

Dual-Attention GAN for Large-Pose Face Frontalization

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

ReMix: Towards Image-to-Image Translation with Limited Data

A Community Detection Approach to Cleaning Extremely Large Face Database

Computational intelligence and neuroscience

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis


Caffe Implementation of Google's MobileNets (v1 and v2)

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

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

Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines

DNN Feature Map Compression using Learned Representation over GF(2)


Quantization of Convolutional Neural networks.

Post training 4-bit quantization of convolutional networks for rapid-deployment

Post-Training 4-bit Quantization on Embedding Tables

SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration


RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Why We Need New Evaluation Metrics for NLG

Creating Training Corpora for NLG Micro-Planners

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Semantic Noise Matters for Neural Natural Language Generation

Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks

Conference on Computational Natural Language Learning

Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation

Semantic Refinement GRU-based Neural Language Generation for Spoken
  Dialogue Systems

Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network

Meeting of the Association for Computational Linguistics

Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG

Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems

Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines


Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Two-Stream Convolution Augmented Transformer for Human Activity Recognition

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

WiFi Motion Detection: A Study into Efficacy and Classification

A Survey of Human Activity Recognition Using WiFi CSI

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of
  Things


TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

Triangular Architecture for Rare Language Translation

Unsupervised Pivot Translation for Distant Languages

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing.

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

WCC-JC: A Web-Crawled Corpus for Japanese-Chinese Neural Machine Translation


Single Image Crowd Counting via MCNN (Unofficial Implementation)

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

Learning Spatial Awareness to Improve Crowd Counting

Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines


Workshop and Challenge on  Perceptual Image Restoration  and Manipulation

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

The Perception-Distortion Tradeoff

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution

Progressive Perception-Oriented Network for Single Image Super-Resolution

Journey Towards Tiny Perceptual Super-Resolution

Tarsier: Evolving Noise Injection in Super-Resolution GANs

Kernelized Back-Projection Networks for Blind Super Resolution


This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning.

AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice Conversion

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support


Evaluate three types of task shifting with popular continual learning algorithms.

Academic Excellence in Action: A Case Study of Effective Instructional Methodologies of Middle Grades Math Teachers

Class-incremental Learning with Pre-allocated Fixed Classifiers

On-device synaptic memory consolidation using Fowler-Nordheim quantum-tunneling


Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Precipitation Nowcasting with Weather Radar Images and Deep Learning in São Paulo, Brasil

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting


[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation


20x Real-time superpixel SLIC Implementation with CPU

Part-aware Prototype Network for Few-shot Semantic Segmentation

FocalClick: Towards Practical Interactive Image Segmentation

SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

GraphVid: It Only Takes a Few Nodes to Understand a Video

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide
  Cytology Images


Folklore facts on probability distribution learning, testing, and whatever-ing

The Structure of Optimal Private Tests for Simple Hypotheses

Deconstructing the Blockchain to Approach Physical Limits

A short note on learning discrete distributions

List Decoding Random Euclidean Codes and Infinite Constellations

Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes

Contraction of Locally Differentially Private Mechanisms

Exploring the Gap between Tolerant and Non-tolerant Distribution Testing


Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

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

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

IEEE transactions on intelligent transportation systems

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

When do contrastive learning signals help spatio-temporal graph forecasting?

Spatial-Temporal Synchronous Graph Transformer network (STSGT) for
  COVID-19 forecasting

Urban Regional Function Guided Traffic Flow Prediction

Graph Neural Rough Differential Equations for Traffic Forecasting


quality filtering tool for long reads

High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

Trycycler: consensus long-read assemblies for bacterial genomes

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Islands of retroelements are major components of Drosophila centromeres

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Long-read assembly of the Brassica napus reference genome Darmor-bzh

Comparison of long-read methods for sequencing and assembly of a plant genome

Dynamic turnover of centromeres drives karyotype evolution in Drosophila

Metagenomic profiling of ammonia- and methane-oxidizing microorganisms in a Dutch drinking water treatment plant

Tracking of Antibiotic Resistance Transfer and Rapid Plasmid Evolution in a Hospital Setting by Nanopore Sequencing


ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Exploring the Interchangeability of CNN Embedding Spaces

Canonical Face Embeddings

You trust a face like yours

Humanities and Social Sciences Communications

Common CNN-based Face Embedding Spaces are (Almost) Equivalent.

OTB-morph: One-time Biometrics via Morphing


Domain Generalization with MixStyle (ICLR'21)

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Domain Generalization: A Survey

Domain Generalization with MixStyle

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

MixStyle Neural Networks for Domain Generalization and Adaptation

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

On-Device Domain Generalization

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition


Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Practical Lossless Compression with Latent Variables using Bits Back Coding

Lossless Compression with Probabilistic Circuits


Official implementation of compound word transformer (AAAI'21)

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid
  Representation

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

Proceedings of the AAAI Conference on Artificial Intelligence

From Words to Music: A Study of Subword Tokenization Techniques in
  Symbolic Music Generation


Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

U-Net: Convolutional Networks for Biomedical Image Segmentation

Image-to-Image Translation with Conditional Adversarial Networks

Conditional Generative Adversarial Nets

Image Colorization Using Generative Adversarial Networks


:art: Winning solution for the Painter by Numbers competition on Kaggle.

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

AIRD: Adversarial Learning Framework for Image Repurposing Detection

User-Controllable Arbitrary Style Transfer via Entropy Regularization

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Vegetation Mapping by UAV Visible Imagery and Machine Learning


Mutual Information Neural Estimation in Pytorch

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

MINE: Mutual Information Neural Estimation

Opening the Black Box of Deep Neural Networks via Information

On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning

Machine learning in solar physics


Stellar LAbel Machine (SLAM).

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

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

Stellar Parameterization of LAMOST M Dwarf Stars

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters


Python implementation of PSRPOP, designed to be run from the command line or from Python scripts/interpreter

PALFA Discovery of a Highly Relativistic Double Neutron Star Binary

ARECIBO PULSAR SURVEY USING ALFA. IV. MOCK SPECTROMETER DATA ANALYSIS, SURVEY SENSITIVITY, AND THE DISCOVERY OF 40 PULSARS

The High Time Resolution Universe Pulsar Survey – XII. Galactic plane acceleration search and the discovery of 60 pulsars

Monthly Notices of the Royal Astronomical Society

THE GMRT HIGH RESOLUTION SOUTHERN SKY SURVEY FOR PULSARS AND TRANSIENTS. I. SURVEY DESCRIPTION AND INITIAL DISCOVERIES

Time-domain and spectral properties of pulsars at 154 MHz

ARECIBO PULSAR SURVEY USING ALFA. III. PRECURSOR SURVEY AND POPULATION SYNTHESIS

Role of the Fan Beam Model in Population Synthesis of Isolated Radio Pulsars

Radio Millisecond Pulsars

A 21 cm pilot survey for pulsars and transients using the Focal L-Band Array for the Green Bank Telescope

Binary neutron star populations in the Milky Way


Source codes for X-STILT(NOx) [Wu et al., 2018, 2023] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].

Space-based quantification of per capita CO2 emissions from cities

A Lagrangian Approach Towards Extracting Signals of Urban CO&lt;sub&gt;2&lt;/sub&gt; Emissions from Satellite Observations of Atmospheric Column CO&lt;sub&gt;2&lt;/sub&gt; (XCO&lt;sub&gt;2&lt;/sub&gt;): X-Stochastic Time-Inverted Lagrangian Transport model (&quot;X-STILT v1.1&quot;)

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO


Lightweight joint simulation of vehicular mobility and communication with LIMoSim

Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim

LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++


Code for the paper Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents: https://arxiv.org/abs/2205.12486

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

Big Bird: Transformers for Longer Sequences

Can Large Language Model Summarizers Adapt to Diverse Scientific
  Communication Goals?


A Python Package for the calculation of inflationary correlation functions.

Attractor behaviour in multifield inflation

Journal of cosmology and astroparticle physics

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

Journal of Cosmology and Astroparticle Physics

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

Non-linear effects in early Universe cosmology


A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Signed Graph Attention Networks

SDGNN: Learning Node Representation for Signed Directed Networks

PyTorch Geometric Signed Directed: A Software Package on Graph Neural
  Networks for Signed and Directed Graphs

A Graph Convolution for Signed Directed Graphs


Open-source software for computing the basin stability of multi-stable dynamical systems

bSTAB: an open-source software for computing the basin stability of multi-stable dynamical systems

Spatially localized vibrations in a rotor subjected to flutter

The Basin Stability of Bi-Stable Friction-Excited Oscillators


HOPS: automated detection and authentication of pathogen DNA in archaeological remains

The source of the Black Death in fourteenth-century central Eurasia

Human population dynamics and Yersinia pestis in ancient northeast Asia

Ancient Yersinia pestis and Salmonella enterica genomes from Bronze Age Crete


YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

YOLOv4: Optimal Speed and Accuracy of Object Detection


Provably Efficient Maximum Entropy Exploration

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration


ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks

Water Mixing Conditions Influence Sentinel-2 Monitoring of Chlorophyll Content in Monomictic Lakes

Comparative Analysis of Empirical and Machine Learning Models for Chla Extraction Using Sentinel-2 and Landsat OLI Data: Opportunities, Limitations, and Challenges


Implementation of different GAN in JAX/Haiku.

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Progressive Growing of GANs for Improved Quality, Stability, and Variation


D3 based visualisation for comparative genomics

Next-Generation Breeding Strategies for Climate-Ready Crops

PanViz: interactive visualization of the structure of functionally annotated pangenomes

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives

Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome


:package: Interface to the World Database on Protected Areas (WDPA)


Environmental data for Antarctic and Southern Ocean science


Python Soccer Simulation 2D Base

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

CYRUS Soccer Simulation 2D Team Description Paper 2022


R package for delineating temporal dataset shifts in Eletronic Health Records

Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories

Journal of the American Medical Informatics Association : JAMIA

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds

International journal of medical informatics

EHRtemporalVariability: delineating temporal data-set shifts in electronic health records


A Computational Workflow for Designing Libraries of sgRNAs for CRISPR-Mediated Base Editing, and much more

Expanding the CRISPR Toolbox in Zebrafish for Studying Development and Disease

Frontiers in cell and developmental biology

beditor: A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing

CRISPR-Cas Genome Editing Technique for Fish Disease Management: Current Study and Future Perspective


大创项目，层级注意力机器翻译

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Convolutional Sequence to Sequence Learning

Document-Level Neural Machine Translation with Hierarchical Attention Networks


A Language-Independent Unsupervised Morphological Segmentation Framework based on Adaptor Grammars

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation

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

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors

Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


Fusion-in-Decoder

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Improving language models by retrieving from trillions of tokens

Distilling Knowledge from Reader to Retriever for Question Answering

A Dataset for Answering Time-Sensitive Questions

A Memory Efficient Baseline for Open Domain Question Answering

On the Risk of Misinformation Pollution with Large Language Models

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Conversational Question Answering on Heterogeneous Sources

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media


Peak calling tool for CLIP-seq data

Grad-seq in a Gram-positive bacterium reveals exonucleolytic sRNA activation in competence control

The minimal meningococcal ProQ protein has an intrinsic capacity for structure-based global RNA recognition

Conditional Hfq Association with Small Noncoding RNAs in Pseudomonas aeruginosa Revealed through Comparative UV Cross-Linking Immunoprecipitation Followed by High-Throughput Sequencing

The core and accessory Hfq interactomes across Pseudomonas aeruginosa lineages

Improving CLIP-seq data analysis by incorporating transcript information

miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles

Galaxy CLIP-Explorer: a web server for CLIP-Seq data analysis

Time-Resolved Analysis of N-RNA Interactions during RVFV Infection Shows Qualitative and Quantitative Shifts in RNA Encapsidation and Packaging


FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment


ALLSorts is a B-Cell Acute Lymphoblastic Leukemia (B-ALL) subtype classifier. From gene expression counts to over 18 subtypes.

ALLSorts: an RNA-Seq subtype classifier for B-cell acute lymphoblastic leukemia

Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia

ALLSorts: a RNA-Seq classifier for B-Cell Acute Lymphoblastic Leukemia


Evaluation Measures for the BioASQ project

BioMegatron: Larger Biomedical Domain Language Model

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.

Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic


K* search based implementation of top-k and top-quality planners

K∗ and Partial Order Reduction for Top-Quality Planning

On K* Search for Top-K Planning

K∗ Search over Orbit Space for Top-k Planning

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence


Japanese Moral Foundations Dictionary (J-MFD)

Development and validation of the Japanese Moral Foundations Dictionary

Morality-based Assertion and Homophily on Social Media: A Cultural
  Comparison between English and Japanese Languages

Appraisal of the Fairness Moral Foundation Predicts the Language Use Involving Moral Issues on Twitter Among Japanese


COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".

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

Self-critical Sequence Training for Image Captioning

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

COMIC: Towards A Compact Image Captioning Model with Attention


Wasserstein GAN

Adversarial Regularizers in Inverse Problems

End-to-end reconstruction meets data-driven regularization for inverse problems

Wasserstein-based Projections with Applications to Inverse Problems

What's in a Prior? Learned Proximal Networks for Inverse Problems


blandr: a Bland-Altman Method Comparison package for R

Telomere Length Calibration from qPCR Measurement: Limitations of Current Method

Concordance between subjective and objective measures of infant sleep varies by age and maternal mood: Implications for studies of sleep and cognitive development

An Assessment of the Validity and Reliability of the Pediatric Child Health Utility 9D in Children with Inflammatory Bowel Disease

Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

Comparison of Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analysis in the Assessment of Body Composition in Women with Anorexia Nervosa upon Admission and Discharge from an Inpatient Specialist Unit

International journal of environmental research and public health

Mean kurtosis‐Curve (MK‐Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

Prospective Performance Evaluation of the miDiagnostics COVID-19 PCR Test for Rapid SARS-CoV-2 Detection on Nasopharyngeal Swabs

Test–retest reliability of eye tracking measures in a computerized Trail Making Test


Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Deep Reinforcement Learning for List-wise Recommendations

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.


Mixed Model Package For Genome-wide association mapping.

Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome

Limited Contribution of DNA Methylation Variation to Expression Regulation in Arabidopsis thaliana

Multiple alleles at a single locus control seed dormancy in Swedish Arabidopsis

Extreme genetic signatures of local adaptation during Lotus japonicus colonization of Japan

Identification of genetic loci associated with higher resistance to pancreas disease (PD) in Atlantic salmon (Salmo salar L.)

The genetic architecture of the network underlying flowering time variation in Arabidopsis thaliana

Locally adaptive temperature response of vegetative growth in Arabidopsis thaliana


Image reconstruction and inference tool for optical interferometry

Building the Bloc: Intraparty Organization in the US Congress

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

MIRC-X: A Highly Sensitive Six-telescope Interferometric Imager at the CHARA Array

Principles of image reconstruction in optical interferometry: tutorial

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

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

Стоматология

Why chromatic imaging matters

Science with MATISSE

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

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


CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

COLA: Decentralized Linear Learning

Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression


Federated Learning package

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

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

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

A framework for energy and carbon footprint analysis of distributed and federated edge learning

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


Code for 'Emergent Symbols through Binding in External Memory'.

GAMR: A Guided Attention Model for (visual) Reasoning

Systematic Visual Reasoning through Object-Centric Relational
  Abstraction


A tool for concatenating multiple fasta alignments for supermatrix phylogenetic analyses

In the spotlight, losing IR region: insights from euglenophytes challenge the importance of inverted repeats in the genomes of secondary plastids

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

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


Graph-based and Transition-based dependency parsers based on BiLSTMs

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

DyNet: The Dynamic Neural Network Toolkit

Neural End-to-End Learning for Computational Argumentation Mining

Learning to select data for transfer learning with Bayesian Optimization

On-the-fly Operation Batching in Dynamic Computation Graphs

A Sub-Character Architecture for Korean Language Processing

An empirical study for Vietnamese dependency parsing

Dependency Parsing for Urdu: Resources, Conversions and Learning

LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)


A gene-targeted assembler tool

Xander: employing a novel method for efficient gene-targeted metagenomic assembly

Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin (TCDD) Dose-Dependently Shifts the Gut Microbiome Consistent with the Progression of Non-Alcoholic Fatty Liver Disease

International journal of molecular sciences

Review, Evaluation, and Directions for Gene-Targeted Assembly for Ecological Analyses of Metagenomes


Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill

Computing water flow through complex landscapes, Part 2: Finding hierarchies in depressions and morphological segmentations

Computing water flow through complex landscapes – Part 3: Fill–Spill–Merge: flow routing in depression hierarchies


Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

OODformer: Out-Of-Distribution Detection Transformer

An Effective Baseline for Robustness to Distributional Shift

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Towards Accurate Open-Set Recognition via Background-Class Regularization

Soft Labeling Affects Out-of-Distribution Detection of Deep Neural
  Networks

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder

Evaluating Out-of-Distribution Detectors Through Adversarial Generation
  of Outliers


[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

EscherNet: A Generative Model for Scalable View Synthesis

SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF and NeuS


Accompanying repository of our AAAI-20 paper "Fine-Grained Argument Unit Recognition and Classification."

ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

Active Learning for Argument Mining: A Practical Approach


Preparation of species occurrences and distribution data for the use in phylogenetic analyses. SpeciesgeocodeR is built for data exploration and data analysis and especially suited for biogeographical and ecological questions on large datasets. The package includes the easy creation of summary-tables and -graphs and geographical maps, the calculating of coexistence matrices and species ranges (EOO) as well as mapping diversity in geographic areas.

SpeciesGeoCoder: Fast Categorization of Species Occurrences for Analyses of Biodiversity, Biogeography, Ecology, and Evolution

Big data suggest migration and bioregion connectivity as crucial for the evolution of Neotropical biodiversity

Plastome phylogenomics reveals an early Pliocene North- and Central America colonization by long-distance dispersal from South America of a highly diverse bromeliad lineage


Official Repository for our CVPRW (MAI'21) paper.

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image

Depth-aware blending of smoothed images for Bokeh effect generation

Journal of visual communication and image representation


Implementation of the BLUE benchmark with Transformers.

MedSTS: A Resource for Clinical Semantic Textual Similarity

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

Pre-training technique to localize medical BERT and enhance biomedical
  BERT


Schema for modelling parliamentary debates

Interoperability in an Infrastructure Enabling Multidisciplinary Research: The case of CLARIN

Parlamenttisampo: eduskunnan aineistojen linkitetyn avoimen datan palvelu ja sen käyttömahdollisuudet

Building, Encoding, and Annotating a Corpus of Parliamentary Debates in XML-TEI: A Cross-Linguistic Account

Slovenian parliamentary corpus (1990-2018) siParl 2.0


SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis


Invariant-feature Subspace Recovery (ISR)

Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization

Linear unit-tests for invariance discovery

Provable Domain Generalization via Invariant-Feature Subspace Recovery


SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

North American Chapter of the Association for Computational Linguistics

Deep Learning Models for Multilingual Hate Speech Detection

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Meeting of the Association for Computational Linguistics

Selecting and combining complementary feature representations and classifiers for hate speech detection

Highly Generalizable Models for Multilingual Hate Speech Detection

Improving Automatic Hate Speech Detection with Multiword Expression Features

HURI: Hybrid user risk identification in social networks

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

Automated Identification of Sexual Orientation and Gender Identity
  Discriminatory Texts from Issue Comments


Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Feature Quantization Improves GAN Training


C++ Implementation of the Information Bottleneck System

Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings

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

BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications.


CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

GitRanking: A ranking of GitHub topics for software classification using active sampling

Detecting implicit cross-communities to which an active user belongs


Efficient Sequence Labeling

The Uppsala Corpus of Student Writings: Corpus Creation, Annotation, and Analysis

Part of Speech Tagging: Shallow or Deep Learning?

Northern European journal of language technology

SWEGRAM : A Web-Based Tool for Automatic Annotation and Analysis of Swedish Texts

Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling

Audiobook Stylistics: Comparing print and audio in the bestselling segment

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences


Cell tracking using TensorFlow and BayesianTracker

Local cellular neighborhood controls proliferation in cell competition

Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach

Single-cell approaches to cell competition: high-throughput imaging, machine learning and simulations


The Pound ROS node

Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration

Flexible Supervised Autonomy for Exploration in Subterranean
  Environments

Pound: A ROS node for Reducing Delay and Jitter in Wireless Multi-Robot
  Networks

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge


Statistical Rethinking course and book package

Bayesian Item Response Modeling in R with brms and Stan

Survival and Stationary Distribution Analysis of a Stochastic Competitive Model of Three Species in a Polluted Environment

Gene expression differs in susceptible and resistant amphibians exposed to Batrachochytrium dendrobatidis

Multiflora rose invasion amplifies prevalence of Lyme disease pathogen, but not necessarily Lyme disease risk

Impact of climate change on site characteristics of eight major
  astronomical observatories using high-resolution global climate projections
  until 2050

Semiparametric zero-inflated Bernoulli regression with applications

Epidemiological transitions in human evolution and the richness of viruses, helminths, and protozoa

Effect of Norovirus Inoculum Dose on Virus Kinetics, Shedding, and Symptoms

Testing for Normality with Neural Networks

Is it possible to disregard obsolete requirements? a family of experiments in software effort estimation


Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"

Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words

The adaptation of the Affective Norms for English Words (ANEW) for Italian

The adaptation of the Affective Norms for English Words (ANEW) for European Portuguese

ANGST: Affective norms for German sentiment terms, derived from the affective norms for English words

Building Chinese Affective Resources in Valence-Arousal Dimensions

Leipzig Affective Norms for German: A reliability study

Affective Norms for 4900 Polish Words Reload (ANPW_R): Assessments for Valence, Arousal, Dominance, Origin, Significance, Concreteness, Imageability and, Age of Acquisition

Discrete emotion norms for nouns: Berlin affective word list (DENN–BAWL)

Nencki Affective Word List (NAWL): the cultural adaptation of the Berlin Affective Word List–Reloaded (BAWL-R) for Polish

Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words


Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Learning deep representations by mutual information estimation and maximization

Self-Supervised Relational Reasoning for Representation Learning

Mutual Information Gradient Estimation for Representation Learning

Prediction of Progression to Alzheimer's disease with Deep InfoMax

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning

Fair contrastive pre-training for geographic image segmentation


Transformer-based online speech recognition system with TensorFlow 2

Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

International Conference on Multimodal Interfaces

Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition

Learning to Count Words in Fluent Speech enables Online Speech
  Recognition

AV Taris: Online Audio-Visual Speech Recognition


How To Backdoor Federated Learning

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

RoFL: Robustness of Secure Federated Learning


A collection of Meta-Reinforcement Learning algorithms in PyTorch

A Simple Neural Attentive Meta-Learner

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Learning to reinforcement learn

Meta-Gradient Reinforcement Learning


Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

Cryptic diversity of a widespread global pathogen reveals expanded threats to amphibian conservation

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

SeqyClean: A Pipeline for High-throughput Sequence Data Preprocessing

International Conference on Bioinformatics

The Chloroplast Genome of Utricularia reniformis Sheds Light on the Evolution of the ndh Gene Complex of Terrestrial Carnivorous Plants from the Lentibulariaceae Family

Transcript expression plasticity as a response to alternative larval host plants in the speciation process of corn and rice strains of Spodoptera frugiperda

High-throughput and Cost-effective Chicken Genotyping Using Next-Generation Sequencing

Allele-specific expression is widespread in Bos indicus muscle and affects meat quality candidate genes

Genomic Correlates of Virulence Attenuation in the Deadly Amphibian Chytrid Fungus, Batrachochytrium dendrobatidis

Arbuscular Mycorrhizal Symbiosis Leads to Differential Regulation of Drought-Responsive Genes in Tissue-Specific Root Cells of Common Bean

Characterization of Four Multidrug Resistance Plasmids Captured from the Sediments of an Urban Coastal Wetland


Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

nuScenes: A multimodal dataset for autonomous driving

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning


Dependency Parsing as Sequence Labeling

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Viable Dependency Parsing as Sequence Labeling

Bracketing Encodings for 2-Planar Dependency Parsing

A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021

A Unifying Theory of Transition-based and Sequence Labeling Parsing


Gene Absence Presence Identification tool.

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

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

Mycobacterium bovis Strain Ravenel Is Attenuated in Cattle


Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems


[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation


Command-line driven tool to create dust opacities

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

Razor-thin dust layers in protoplanetary disks: Limits on the vertical shear instability

LIDA: The Leiden Ice Database for Astrochemistry

A multiwavelength analysis of the spiral arms in the protoplanetary disk around WaOph 6

Streaming instability in a global patch simulation of protoplanetary disks

The halo around HD 32297: μm-sized cometary dust

The impact of dynamic pressure bumps on the observational properties of
  protoplanetary disks

Apocenter pile-up and arcs: a narrow dust ring around HD 129590


FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

On the Similarity between the Laplace and Neural Tangent Kernels

Speeding-up Object Detection Training for Robotics with FALKON

Learning to predict target location with turbulent odor plumes


Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!


Visualizing the structure of planning problems using local-minima trees

Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree

Multilevel Motion Planning: A Fiber Bundle Formulation

The international journal of robotics research

Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning

Visualizing Local Minima in Multi-Robot Motion Planning using Multilevel
  Morse Theory


Detecting somatic mutations and predicting tumor-specific neo-antigens

TSNAD: an integrated software for cancer somatic mutation and tumour-specific neoantigen detection

Main Strategies for the Identification of Neoantigens

Computational cancer neoantigen prediction: current status and recent advances

TSNAD v2.0: A one-stop software solution for tumor-specific neoantigen detection

Computational and structural biotechnology journal


multiplicatively convolutional fast integral transforms implementing FFTLog

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Journal of Cosmology and Astroparticle Physics

Galaxy power-spectrum responses and redshift-space super-sample effect

Robustness of baryon acoustic oscillation constraints for early-Universe modifications of Λ CDM cosmology

Disconnected covariance of 2-point functions in large-scale structure

What does the marked power spectrum measure? Insights from perturbation theory

The reconstructed power spectrum in the Zeldovich approximation

Going Beyond the Galaxy Power Spectrum: an Analysis of BOSS Data with
  Wavelet Scattering Transforms

An effective model for the cosmic-dawn 21-cm signal

The Last Journey. I. An Extreme-scale Simulation on the Mira Supercomputer

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


R package for two-sample Mendelian randomization using the robust adjusted profile score

The MR-Base platform supports systematic causal inference across the human phenome

Guidelines for performing Mendelian randomization investigations: update for summer 2023

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization

Circulating S100B levels at birth and risk of six major neuropsychiatric or neurological disorders: a two-sample Mendelian Randomization Study


Effective Pan-Sharpening by Multiscale Invertible Neural Network and Heterogeneous Task Distilling

IEEE transactions on geoscience and remote sensing

Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening

Proceedings of the 30th ACM International Conference on Multimedia

Normalization-based Feature Selection and Restitution for Pan-sharpening

Modality-Aware Feature Integration for Pan-Sharpening


Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Differentiable Augmentation for Data-Efficient GAN Training

Data InStance Prior (DISP) in Generative Adversarial Networks


Creative Commons Attribution 4.0 International

This repository houses data and code for the Global Reforestation Opportunity Assessment (GROA) led by Susan Cook-Patton of the Nature Conservancy.


[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

Learning hierarchical behavior and motion planning for autonomous driving


R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds


MagNet graph convolutional network

MagNet: A Neural Network for Directed Graphs

DIGRAC: Digraph Clustering Based on Flow Imbalance

A Graph Convolution for Signed Directed Graphs


Statistical methods for forest genetic resources analysts

Accuracy and responses of genomic selection on key traits in apple breeding

Gene expression predictions and networks in natural populations supports the omnigenic theory

Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita

Seed Sourcing Strategies Considering Climate Change Forecasts: A Practical Test in Scots Pine

SNP Genotyping with Target Amplicon Sequencing Using a Multiplexed Primer Panel and Its Application to Genomic Prediction in Japanese Cedar, Cryptomeria japonica (L.f.) D.Don

Genome-wide association analysis for drought tolerance and associated traits in faba bean (Vicia faba L.)

Genomic studies with preselected markers reveal dominance effects influencing growth traits in Eucalyptus nitens

Hybrid larch heterosis: for which traits and under which genetic control?

Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program

Estimating the Genetic Parameters of Flowering Time-Related Traits in a Miscanthus sinensis Population Tested with a Staggered-Start Design


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

Collective behavior of swarmalators on a ring

Pinning in a system of swarmalators

Sync and swarm: solvable model of non-identical swarmalators

Solvable model of driven matter with pinning


JAMP - Just Another Metabarcoding Pipeline

Validation of COI metabarcoding primers for terrestrial arthropods

Metabarcoding a diverse arthropod mock community

Slippage of degenerate primers can cause variation in amplicon length

Can metabarcoding resolve intraspecific genetic diversity changes to environmental stressors? A test case using river macrozoobenthos

Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species

Improved freshwater macroinvertebrate detection from eDNA through minimized non-target amplification

Exploring the potential of metabarcoding to disentangle macroinvertebrate community dynamics in intermittent streams

Moray eels are more common on coral reefs subject to higher human pressure in the greater Caribbean

Pooling size sorted malaise trap fractions to maximise taxon recovery with metabarcoding

Double-blind validation of alternative wild bee identification techniques: DNA metabarcoding and in vivo determination in the field

Journal of Hymenoptera Research/Journal of Hymenoptera research


DBAT - The Damped Bundle Adjustment toolbox for Matlab

Bundle Adjustment With and Without Damping

The photogrammetric record/Photogrammetric record

Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry

COMPARISON OF DIVER-OPERATED UNDERWATER PHOTOGRAMMETRIC SYSTEMS FOR CORAL REEF MONITORING

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

Camera Calibration using the Damped Bundle Adjustment Toolbox

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

MITIGATING IMAGE RESIDUALS SYSTEMATIC PATTERNS IN UNDERWATER PHOTOGRAMMETRY

EXTERNAL VERIFICATION OF THE BUNDLE ADJUSTMENT IN PHOTOGRAMMETRIC SOFTWARE USING THE DAMPED BUNDLE ADJUSTMENT TOOLBOX

Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations

Photogrammetric engineering and remote sensing

BUNDLE ADJUSTMENT WITH POLYNOMIAL POINT-TO-CAMERA DISTANCE DEPENDENT CORRECTIONS FOR UNDERWATER PHOTOGRAMMETRY

Creating a Terrain in Unity From a DEM

EXPERIMENTS WITH METADATA-DERIVED INITIAL VALUES AND LINESEARCH BUNDLE ADJUSTMENT IN ARCHITECTURAL PHOTOGRAMMETRY


EEG Pre-Processing Pipeline

The HAPPE plus Event-Related (HAPPE+ER) software: A standardized preprocessing pipeline for event-related potential analyses

HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings

The HAPPE plus Event-Related (HAPPE+ER) Software: A Standardized Processing Pipeline for Event-Related Potential Analyses

HAPPILEE: The Harvard Automated Processing Pipeline In Low Electrode Electroencephalography, a standardized software for low density EEG and ERP data


Semi-supervised Domain Adaptation via Minimax Entropy

Reducing Domain Gap by Reducing Style Bias

CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning

Effective Label Propagation for Discriminative Semi-Supervised Domain
  Adaptation

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble
  Pseudo-Labeling


read cloud assembler

High-quality genome sequences of uncultured microbes by assembly of read clouds

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

Strain-resolved microbiome sequencing reveals mobile elements that drive bacterial competition on a clinical timescale


Official PyTorch implementation of  MFCVAE : "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

Identifiability of deep generative models without auxiliary information

Multi-Facet Clustering Variational Autoencoders


This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

MMRotate: A Rotated Object Detection Benchmark using PyTorch

On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited

The KFIoU Loss for Rotated Object Detection

Arbitrary-Oriented Ship Detection Through Center-Head Point Extraction

Detecting Rotated Objects as Gaussian Distributions and Its 3-D
  Generalization


Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022

Proceedings of the 44th International Conference on Software Engineering

Adversarial Attacks on Code Models with Discriminative Graph Patterns

Towards Tracing Code Provenance with Code Watermarking


Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"

Personalizing Dialogue Agents: I have a dog, do you have pets too?

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

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

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7

MVP: Multi-task Supervised Pre-training for Natural Language Generation


Tools for exploiting Morphological Symmetries in robotics

On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis

Dynamics Harmonic Analysis of Robotic Systems: Application in
  Data-Driven Koopman Modelling


MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Representation Learning for General-sum Low-rank Markov Games


The one-stop package for formulating, simulating, and solving problems in boolean and spin form

Quantum Annealing Formulation for Binary Neural Networks

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA


Calculate the ET-SCI climate extremes indices

Increase of Simultaneous Soybean Failures Due To Climate Change

How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?

Annual summaries dataset of Heatwaves in Europe, as defined by the Excess Heat Factor


This is the repository for the JuSpace toolbox allowing for cross-modal correlations between imaging data and positron emission tomography derived information

JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

Mapping dopaminergic projections in the human brain with resting-state fMRI

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity

Integrative Functional, Molecular, and Transcriptomic Analyses of Altered Intrinsic Timescale Gradient in Depression

The origins of evil: From lesions to the functional architecture of the antisocial brain

Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Molecular mechanisms underlying resting-state brain functional correlates of behavioral inhibition


A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

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

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

Parameter-Efficient Transfer Learning for NLP

Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks.

An Empirical Study of Library Usage and Dependency in Deep Learning
  Frameworks


Python skymaps based on basemap

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

The Dark Energy Survey Data Release 2

The DECam Local Volume Exploration Survey: Overview and First Data Release

The DECam Local Volume Exploration Survey Data Release 2


Analysis Pipeline for Single Cell ATAC-seq

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

Single cell functional genomics reveals plasticity of subcutaneous white adipose tissue (WAT) during early postnatal development

Integrative analysis of single-cell RNA-seq and ATAC-seq reveals heterogeneity of induced pluripotent stem cell-derived hepatic organoids


source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conference "Neural Bilexicalized PCFG Induction"

Compound Probabilistic Context-Free Grammars for Grammar Induction

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Neural Bi-Lexicalized PCFG Induction

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs


MANET protocols for INET - no longer maintaiened. Please DO NOT use it with new projects.

A mobility aware duty cycling and preambling solution for wireless sensor network with mobile sink node

Definition of an 802.11 Interface Management Process in a Proposed System for Transmission Capacity Enhancement in Wireless Mesh Networks

Journal of computer networks and communications

Heterogeneous Buffer Size Impact on UDP Performance for Real-Time Video Streaming Application

International journal of advanced computer science and applications/International journal of advanced computer science & applications


Additional implementation of BIKE (Bit Flipping Key Encapsulation)

Y QC-MDPC Decoders with Several Shades of Gray

A toolbox for software optimization of QC-MDPC code-based cryptosystems

Fast polynomial inversion for post quantum QC-MDPC cryptography

On Constant-Time QC-MDPC Decoders with Negligible Failure Rate

Optimized implementation of QC‐MDPC code‐based cryptography

Hardware-Software Co-Design of BIKE with HLS-Generated Accelerators

An Evaluation of the State-of-the-Art Software and Hardware
  Implementations of BIKE


time series forecasting with image

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Forecasting with time series imaging


Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

Embodied Neuromorphic Vision with Continuous Random Backpropagation

International Conference on Biomedical Robotics and Biomechatronics


A deep learning framework for fault diagnositcs with PyTorch

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

IEEE transactions on industrial electronics

Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration


Face and Landmark Detector for Anime/Manga. This is 2009s version of Imager::AnimeFace, but it works on recent system.

Surrogate Gradient Field for Latent Space Manipulation

Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems

Disentangling Style and Content in Anime Illustrations

Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks


Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Rethinking the Value of Network Pruning

Generative Optimization Networks for Memory Efficient Data Generation


PyTorch implementation of  two-stream networks for video action recognition

Deep Temporal Linear Encoding Networks

Hidden Two-Stream Convolutional Networks for Action Recognition

A Comprehensive Study of Deep Video Action Recognition

Multimodal Object Detection via Probabilistic Ensembling


LISA for ICML 2022

Improving Out-of-Distribution Robustness via Selective Augmentation

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization

Sufficient Invariant Learning for Distribution Shift


Code for the calculation and implementation of the PC Based epigenetic clocks

OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases

Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations


Adversarial Examples Make Strong Poisons

Availability Attacks Create Shortcuts

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

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression


Flash2 has some improvements from flash_1 including new logic from innie and outie overlaps as well as some initial steps for flash for amplicons

Human Milk Microbial Community Structure Is Relatively Stable and Related to Variations in Macronutrient and Micronutrient Intakes in Healthy Lactating Women

The journal of nutrition/The Journal of nutrition

A Phylogenomic Approach Based on PCR Target Enrichment and High Throughput Sequencing: Resolving the Diversity within the South American Species of Bartsia L. (Orobanchaceae)

Hfq CLASH uncovers sRNA-target interaction networks linked to nutrient availability adaptation

Delaying chloroplast turnover increases water-deficit stress tolerance through the enhancement of nitrogen assimilation in rice

Subtyping analysis reveals new variants and accelerated evolution of Clostridioides difficile toxin B

RNase III CLASH in MRSA uncovers sRNA regulatory networks coupling metabolism to toxin expression

Zenodo (CERN European Organization for Nuclear Research)

Fluidigm2PURC: automated processing and haplotype inference for double-barcoded PCR amplicons

Targeted gene disruption in a marsupial, Monodelphis domestica, by CRISPR/Cas9 genome editing

Unexpected binding behaviors of bacterial Argonautes in human cells cast doubts on their use as targetable gene regulators

Low recovery of bacterial community after an extreme salinization-desalinization cycle


Synthetic Minority Over-Sampling Technique for Regression

RLOC: Terrain-Aware Legged Locomotion Using Reinforcement Learning and Optimal Control

Mimicking the halo–galaxy connection using machine learning

Monthly notices of the Royal Astronomical Society

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods

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

High-fidelity reproduction of central galaxy joint distributions with neural networks

Machine learning for yield prediction for chemical reactions using in situ sensors

Journal of molecular graphics & modelling/Journal of molecular graphics and modelling


Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

Static and Dynamic Robust PCA and Matrix Completion: A Review

Low Rank Regularization: A Review

Provable Dynamic Robust PCA or Robust Subspace Tracking

Provable Subspace Tracking From Missing Data and Matrix Completion

Low-M-Rank Tensor Completion and Robust Tensor PCA

Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches

International journal of online and biomedical engineering

Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations


Implementation of fast exact k-means algorithms

Fast K-Means with Accurate Bounds

Nested Mini-Batch K-Means


CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

Optimizing Dense Retrieval Model Training with Hard Negatives

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Injecting Domain Adaptation with Learning-to-hash for Effective and
  Efficient Zero-shot Dense Retrieval


code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720

Learning Transferable Visual Models From Natural Language Supervision

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

Multitask Vision-Language Prompt Tuning


(beta-)VAE Tensorflow

Auto-Encoding Variational Bayes

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Explanation by Progressive Exaggeration

Autoregressive Quantile Networks for Generative Modeling


Direct Attentive Dependency Parser

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies

International Workshop/Conference on Parsing Technologies

Out-of-Domain Evaluation of Finnish Dependency Parsing


记录GitHub热门仓库，每小时更新，按天归档。

High-Resolution Image Synthesis with Latent Diffusion Models

Masked Autoencoders Are Scalable Vision Learners

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

You Only Learn One Representation: Unified Network for Multiple Tasks

DiffusionDet: Diffusion Model for Object Detection


Early satellite cell communication creates a permissive environment for long-term muscle growth

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Peripheral Mononuclear Cells in Patients With Ankylosing Spondylitis

Single-cell analysis of a high-grade serous ovarian cancer cell line reveals transcriptomic changes and cell subpopulations sensitive to epigenetic combination treatment

LSD1 promotes secretory cell specification to drive BRAF mutant colorectal cancer


Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Combating Fake News: A Survey on Identification and Mitigation Techniques

A Survey on Natural Language Processing for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Combating disinformation in a social media age


Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Reversal of pre-existing NGFR-driven tumor and immune therapy resistance

Biomarker analysis from CheckMate 214: nivolumab plus ipilimumab versus sunitinib in renal cell carcinoma

Improved prognostication of glioblastoma beyond molecular subtyping by transcriptional profiling of the tumor microenvironment

S100A5 Attenuates Efficiency of Anti-PD-L1/PD-1 Immunotherapy by Inhibiting CD8+ T Cell-Mediated Anti-Cancer Immunity in Bladder Carcinoma.

The oncogenic role of treacle ribosome biogenesis factor 1 (TCOF1) in human tumors: a pan-cancer analysis

Immunogenomic pathways associated with cytotoxic lymphocyte infiltration and survival in colorectal cancer

The Cancer-Associated Fibroblasts-Related Gene COMP Is a Novel Predictor for Prognosis and Immunotherapy Efficacy and Is Correlated with M2 Macrophage Infiltration in Colon Cancer

Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer

Expression, oncological and immunological characterizations of BZW1/2 in pancreatic adenocarcinoma


Quantifying Controversy in Social Media

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

Vocabulary-based Method for Quantifying Controversy in Social Media


kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

kuenm: an R package for detailed development of ecological niche models using Maxent

Current and Future Distribution of the Lone Star Tick, Amblyomma americanum (L.) (Acari: Ixodidae) in North America

Likely Geographic Distributional Shifts among Medically Important Tick Species and Tick-Associated Diseases under Climate Change in North America: A Review

Potential distributions of Bacillus anthracis and Bacillus cereus biovar anthracis causing anthrax in Africa

Sex determination systems in reptiles are related to ambient temperature but not to the level of climatic fluctuation

Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model

Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change

Allele Surfing and Holocene Expansion of an Australian Fig (Ficus—Moraceae)

Potentially suitable habitats of Daodi goji berry in China under climate change


RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

RobustBench: a standardized adversarial robustness benchmark

Reveal of Vision Transformers Robustness against Adversarial Attacks

Evading Black-box Classifiers Without Breaking Eggs


Tools for bam file processing

biobambam: tools for read pair collation based algorithms on BAM files

A comprehensive characterization of cis-acting splicing-associated variants in human cancer

The Scramble conversion tool

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions

Copy number variation underlies complex phenotypes in domestic dog breeds and other canids

Cellular and molecular architecture of hematopoietic stem cells and progenitors in genetic models of bone marrow failure

Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations


Detect and segment individual tree from remotely sensed data

Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds

Slow development of woodland vegetation and bird communities during 33 years of passive rewilding in open farmland

Mapping Tree Canopy in Urban Environments Using Point Clouds from Airborne Laser Scanning and Street Level Imagery


An Automated Fortran Code Refactoring Tool to Facilitate Acceleration of Numerical Simulations

Domain-Specific Acceleration and Auto-Parallelization of Legacy
  Scientific Code in FORTRAN 77 using Source-to-Source Compilation

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs


Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

TIM: Teaching Large Language Models to Translate with Comparison

BMX: Boosting Natural Language Generation Metrics with Explainability

Improving LLM-based Machine Translation with Systematic Self-Correction

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

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


The official Talk2Car dataset repo

Talk2Car: Taking Control of Your Self-Driving Car

Empirical Methods in Natural Language Processing

A Baseline for the Commands For Autonomous Vehicles Challenge

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary


Further improve robustness of mixup-trained models in inference (ICLR 2020)

Identity Mappings in Deep Residual Networks

mixup: Beyond Empirical Risk Minimization

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

Interpolated Adversarial Training: Achieving Robust Neural Networks
  without Sacrificing Too Much Accuracy

Unifying Gradients to Improve Real-world Robustness for Deep Networks

Guidance Through Surrogate: Towards a Generic Diagnostic Attack


ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a physics-rich manipulation skill benchmark with large-scale demonstrations.

Off-Policy Deep Reinforcement Learning without Exploration

Conservative Q-Learning for Offline Reinforcement Learning

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations


Benchmarked implementations of Offline RL Algorithms.

Decision Transformer: Reinforcement Learning via Sequence Modeling

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Extreme Q-Learning: MaxEnt RL without Entropy

The In-Sample Softmax for Offline Reinforcement Learning


A toolbox for improving metagenome-assembled genomes.

Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.)

Comparative Genomics of Candidate Phylum TM6 Suggests That Parasitism Is Widespread and Ancestral in This Lineage

Comparative genomics reveals electron transfer and syntrophic mechanisms differentiating methanotrophic and methanogenic archaea

Comparative Genomics and Proteomic Analysis of Assimilatory Sulfate Reduction Pathways in Anaerobic Methanotrophic Archaea

Western and non-western gut microbiomes reveal new roles of Prevotella in carbohydrate metabolism and mouth–gut axis

Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater

Phylogenetic and metabolic diversity of microbial communities performing anaerobic ammonium and methane oxidations under different nitrogen loadings


A two-stage RST discourse parser

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

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

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

Improving Neural RST Parsing Model with Silver Agreement Subtrees

North American Chapter of the Association for Computational Linguistics

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

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

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

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

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


Single-cell Hierarchical Poisson Factorization

Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

A single-cell reference map for human blood and tissue T cell activation reveals functional states in health and disease

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

bioRxiv : the preprint server for biology


Desmistificando DevOps: Projetando Arquiteturas Efetivamente Escaláveis

Borg, Omega, and Kubernetes

Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture

Continuous software engineering: A roadmap and agenda

Journal of systems and software/The Journal of systems and software

Microservices: The Journey So Far and Challenges Ahead

Containerization and the PaaS Cloud

Cloud Container Technologies: A State-of-the-Art Review

DevOps

A Survey of DevOps Concepts and Challenges

Continuous deployment of software intensive products and services: A systematic mapping study

Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study


Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Synthetic vs Real: Deep Learning on Controlled Noise


pytorch implementation of  face detection algorithm  MTCNN

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Face Recognition: Too Bias, or Not Too Bias?

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Automatic Face Understanding: Recognizing Families in Photos


Cross-disease comparison of case-control gut microbiome studies

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction

Meta analysis of microbiome studies identifies shared and disease-specific patterns


Smith-Waterman local aligner

Accurate detection of complex structural variations using single molecule sequencing

Balancing sensitivity and specificity in distinguishing TCR groups by CDR sequence similarity

Digital data storage on DNA tape using CRISPR base editors


CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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

Generalizing over Long Tail Concepts for Medical Term Normalization

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations


An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization

International journal of computer vision

Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection

Re Learning Memory Guided Normality for Anomaly Detection

Crowd-level Abnormal Behavior Detection via Multi-scale Motion
  Consistency Learning


Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction


Pilon is an automated genome assembly improvement and variant detection tool

Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement

The water lily genome and the early evolution of flowering plants

A mini foxtail millet with an Arabidopsis-like life cycle as a C4 model system

Prevotella copri increases fat accumulation in pigs fed with formula diets

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Whole genomes and transcriptomes reveal adaptation and domestication of pistachio

The celery genome sequence reveals sequential paleo‐polyploidizations, karyotype evolution and resistance gene reduction in apiales

De novo phased assembly of the Vitis riparia grape genome

High-quality genome assembly of 'Cuiguan' pear (Pyrus pyrifolia) as a reference genome for identifying regulatory genes and epigenetic modifications responsible for bud dormancy

The genome of Medicago polymorpha provides insights into its edibility and nutritional value as a vegetable and forage legume


ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Composition-based Multi-Relational Graph Convolutional Networks

Temporal Knowledge Graph Forecasting with Neural ODE

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

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Sem@K: Is my knowledge graph embedding model semantic-aware?

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

Mitigating Relational Bias on Knowledge Graphs

Relation-aware Ensemble Learning for Knowledge Graph Embedding

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning


NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec
  Language Modeling

Deep Learning Based Assessment of Synthetic Speech Naturalness

VioLA: Unified Codec Language Models for Speech Recognition, Synthesis,
  and Translation

DNN No-Reference PSTN Speech Quality Prediction

Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks

International Conference on Acoustics, Speech, and Signal Processing

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement

PolyVoice: Language Models for Speech to Speech Translation

A Comparison Of Deep Learning MOS Predictors For Speech Synthesis Quality


Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Few-shot Event Detection: An Empirical Study and a Unified View


Gradient based sample selection for online continual learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

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

Online Prototype Learning for Online Continual Learning


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

LIMO: Latent Inceptionism for Targeted Molecule Generation

Reinforcement Learning of Molecule Optimization with Bayesian Neural Networks


Codebase, data and models for the SummaC paper in TACL

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization

TRUE: Re-evaluating Factual Consistency Evaluation

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

Revisiting text decomposition methods for NLI-based factuality scoring of summaries

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Proceedings of the 5th Clinical Natural Language Processing Workshop

Leveraging Summary Guidance on Medical Report Summarization

AWESOME: GPU Memory-constrained Long Document Summarization using Memory
  Mechanism and Global Salient Content

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization


R2D2: Repeatable and Reliable Detector and Descriptor

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

Online Invariance Selection for Local Feature Descriptors

D2D: Keypoint Extraction with Describe to Detect Approach

Decoupling Makes Weakly Supervised Local Feature Better

FFD: Fast Feature Detector

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

Single-Image Depth Prediction Makes Feature Matching Easier

MD-Net: Multi-Detector for Local Feature Extraction

Real-time Local Feature with Global Visual Information Enhancement


AI Feynman: a Physics-Inspired Method for Symbolic Regression

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific
  Discovery

Cosmic backreaction and the mean redshift drift from symbolic regression

Conjecturing-Based Discovery of Patterns in Data

Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics


Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

Visual-Inertial Monocular SLAM With Map Reuse

International Conference on Robotics and Automation

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

XTDrone: A Customizable Multi-Rotor UAVs Simulation Platform

Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices

Asynchronous Multi-View SLAM

EVALUATION OF VISION-BASED LOCALIZATION AND MAPPING TECHNIQUES IN A SUBSEA METROLOGY SCENARIO

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

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Structure from Motion for Panorama-Style Videos


Estimating emissions for mobile sources


Training and evaluating NBM and SPAM for interpretable machine learning.

Neural Basis Models for Interpretability

Scalable Interpretability via Polynomials

Modular Neural Networks for Time Series Forecasting: Interpretability
  and Feature Selection using Attention


flexible barcode and adapter removal

Flexbar 3.0 – SIMD and multicore parallelization

Genome-wide Integrative Analysis of Zika-Virus-Infected Neuronal Stem Cells Reveals Roles for MicroRNAs in Cell Cycle and Stemness

Simultaneous sequencing of genetic and epigenetic bases in DNA

Genome-wide analysis of the Dof gene family in durian reveals fruit ripening-associated and cultivar-dependent Dof transcription factors

De novo assembly of Persea americana cv. ‘Hass’ transcriptome during fruit development

Homeostatic plasticity fails at the intersection of autism-gene mutations and a novel class of common genetic modifiers

Mkt1 is required for RNAi-mediated silencing and establishment of heterochromatin in fission yeast

Identification of Novel Placentally Expressed Aspartic Proteinase in Humans

International journal of molecular sciences

De Novo Transcriptome Sequencing in Kiwifruit (Actinidia chinensis var. deliciosa (A Chev) Liang et Ferguson) and Development of Tissue-Specific Transcriptomic Resources

mRNA expression and DNA methylation analysis of the inhibitory mechanism of H2O2 on the proliferation of A549 cells


A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.

Generalized End-to-End Loss for Speaker Verification

Voice Conversion Can Improve ASR in Very Low-Resource Settings

Universal Source Separation with Weakly Labelled Data

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of
  Angela Merkel's Weekly Video Podcasts

Disentanglement in a GAN for Unconditional Speech Synthesis


Official repository of the paper 'Attention-aware Multi-stroke Style Transfer' in CVPR 2019

Universal Style Transfer via Feature Transforms

Fast Patch-based Style Transfer of Arbitrary Style

Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

Learning without Forgetting

End-to-End Incremental Learning

Overcoming Catastrophic Forgetting by Generative Regularization


Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

A Survey on Causal Inference

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

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

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects
  Estimation

Benchmarking Heterogeneous Treatment Effect Models through the Lens of
  Interpretability

A Survey of Deep Causal Models and Their Industrial Applications


Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

Deep Kernel Learning for Clustering


Embedding Multimodal Relational Data for Knowledge Base Completion

Incorporating Literals into Knowledge Graph Embeddings

Integrating Knowledge Graph embedding and pretrained Language Models in
  Hypercomplex Spaces


This is a Pytorch implementation of GraphLIME

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Explainable AI Methods - A Brief Overview

Survey of Explainable AI Techniques in Healthcare

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine


PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

International Conference on Computer Vision

A Survey of Deep Learning for Scientific Discovery

Missingness Bias in Model Debugging

How explainable are adversarially-robust CNNs?

Information-Theoretic Visual Explanation for Black-Box Classifiers

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound


NAACL 2021 - Progressive Generation of Long Text

Toward Diverse Text Generation with Inverse Reinforcement Learning

Progressive Generation of Long Text with Pretrained Language Models

Jointly Measuring Diversity and Quality in Text Generation Models

Progressive Generation of Long Text.

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media


A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.

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

Dissecting cell identity via network inference and in silico gene perturbation

CRISPR-Cas9-mediated loss-of-function screens

Robustness and applicability of functional genomics tools on scRNA-seq data


EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

ConveRT: Efficient and Accurate Conversational Representations from Transformers

A Systematic Evaluation of Response Selection for Open Domain Dialogue

A Transformer-based Response Evaluator for Open-Domain Spoken
  Conversation

NAISTeacher: A Prompt and Rerank Approach to Generating Teacher Utterances in Educational Dialogues

Workshop on Innovative Use of NLP for Building Educational Applications


Phase-aware speech enchancement with Deep Complex U-Net

Phase-aware Speech Enhancement with Deep Complex U-Net

Improved Speech Enhancement with the Wave-U-Net

Speech Denoising Without Clean Training Data: A Noise2Noise Approach


Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".

Enhanced Language Representation with Label Knowledge for Span Extraction

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

EventGraph: Event Extraction as Semantic Graph Parsing


AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

Autoencoding beyond pixels using a learned similarity metric

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Invertible Conditional GANs for image editing

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Fighting Deepfakes by Detecting GAN DCT Anomalies

Deepfakes Generation and Detection: A Short Survey

High Resolution Face Editing with Masked GAN Latent Code Optimization

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection

Datamorphic Testing: A Methodology for Testing AI Applications


PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey

BVMatch: Lidar-Based Place Recognition Using Bird's-Eye View Images

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding

Point-based metric and topological localisation between lidar and overhead imagery

SeqNetVLAD vs PointNetVLAD: Image Sequence vs 3D Point Clouds for Day-Night Place Recognition.


HOW local descriptors

Learning and aggregating deep local descriptors for instance-level recognition

Learning Super-Features for Image Retrieval


ACL 2021: Question Answering over Temporal Knowledge Graphs

Tensor Decompositions for temporal knowledge base completion

Question Answering Over Temporal Knowledge Graphs

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs


Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

NBDT: Neural-Backed Decision Trees

NBDT: Neural-Backed Decision Tree

International Conference on Learning Representations

Coarse-to-Fine Curriculum Learning

Dive into Decision Trees and Forests: A Theoretical Demonstration

SONGs: Self-Organizing Neural Graphs


Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Identity Mappings in Deep Residual Networks

Bag of Tricks for Adversarial Training

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness

Max-Mahalanobis Linear Discriminant Analysis Networks


Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Fast and Scalable Image Search For Histology


AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection


Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

MixMatch: A Holistic Approach to Semi-Supervised Learning

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning

IEEE Workshop/Winter Conference on Applications of Computer Vision


SEACR: Sparse Enrichment Analysis for CUT&RUN

Multifactorial profiling of epigenetic landscapes at single-cell resolution using MulTI-Tag

CUT&RUN: Targeted in situ genome-wide profiling with high efficiency for low cell numbers protocol abstract

Multifactorial chromatin regulatory landscapes at single cell resolution

A modified CUT&RUN protocol and analysis pipeline to identify transcription factor binding sites in human cell lines

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis

Simultaneous CUT&Tag profiling of the accessible and silenced regulome in single cells