TransDecoder source

Long-read sequence assembly: a technical evaluation in barley

NRG1 functions downstream of EDS1 to regulate TIR-NLR-mediated plant immunity in Nicotiana benthamiana

Resequencing 545 ginkgo genomes across the world reveals the evolutionary history of the living fossil

Firefly genomes illuminate parallel origins of bioluminescence in beetles

The mosaic oat genome gives insights into a uniquely healthy cereal crop

The genome of Rhizophagus clarus HR1 reveals a common genetic basis for auxotrophy among arbuscular mycorrhizal fungi

Pseudo-chromosome length genome assembly of a double haploid ‘Bartlett’ pear (Pyrus communis L.)

Reference genome assemblies reveal the origin and evolution of allohexaploid oat

Phenotype loss is associated with widespread divergence of the gene regulatory landscape in evolution

Chromosome-level assembly of the horseshoe crab genome provides insights into its genome evolution


Python interface to the WebRTC Voice Activity Detector

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Continuous speech separation: dataset and analysis

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

Towards Building ASR Systems for the Next Billion Users

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition

Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge

End-to-End Speaker-Attributed ASR with Transformer


A BERT model for scientific text.

SciBERT: A Pretrained Language Model for Scientific Text

S2ORC: The Semantic Scholar Open Research Corpus

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

A Survey of Deep Learning for Scientific Discovery

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

A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

Biomedical Event Extraction as Multi-turn Question Answering

International Workshop on Health Text Mining and Information Analysis

How can natural language processing help model informed drug development?: a review


Python implementation of the METRIC model


Discontinuous Galerkin methods for a dispersive wave hydro-morphodynamic model with bed-load transport

Discontinuous Galerkin methods for a dispersive wave hydro-sediment-morphodynamic model

Computer Methods in Applied Mechanics and Engineering


A grammar of graphics for comparative genomics

Virophages and retrotransposons colonize the genomes of a heterotrophic flagellate

Transcriptome mining extends the host range of theFlaviviridaeto non-bilaterians

Unlocking the Complete Chloroplast Genome of a Native Tree Species from the Amazon Basin, Capirona (Calycophyllum Spruceanum, Rubiaceae), and Its Comparative Analysis with Other Ixoroideae Species

Endogenous virophages are active and mitigate giant virus infection in the marine protist Cafeteria burkhardae

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

Phased grapevine genome sequence of anRpv12carrier for biotechnological exploration of resistance toPlasmopara viticola

Population dynamics and characteristics of Klebsiella pneumoniae from healthy poultry in Norway

Widespread yet persistent low abundance of TIM5‐like cyanophages in the oceans

Highly divergent and diverse viral community infecting sylvatic mosquitoes from Northeast Brazil

ExplorePipolin: reconstruction and annotation of piPolB-encoding bacterial mobile elements from draft genomes

Short- and Long-Read Sequencing Reveals the Presence and Evolution of an IncF Plasmid Harboring blaCTX-M-15 and blaCTX-M-27 Genes in Escherichia coli ST131


Mapping the MIMIC-III database to the OMOP schema

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

MIMIC in the OMOP Common Data Model


Lightweight nudity detection

Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Holistic Evaluation of Text-To-Image Models

FLIRT: Feedback Loop In-context Red Teaming

MemeCap: A Dataset for Captioning and Interpreting Memes

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?

Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator


Bayesian Optimization using GPflow

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

GPflowOpt: A Bayesian Optimization Library using TensorFlow

Supervised Machine Learning Techniques: An Overview with Applications to Banking

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


Derivation of non-thermal particle distributions through MCMC spectral fitting

H.E.S.S. observations of RX J1713.7−3946 with improved angular and spectral resolution: Evidence for gamma-ray emission extending beyond the X-ray emitting shell

A cut-off in the TeV gamma-ray spectrum of the SNR Cassiopeia A

Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017)

H.E.S.S. detection of TeV emission from the interaction region between the supernova remnant G349.7+0.2 and a molecular cloud

Gamma-ray observations of low-luminosity active galactic nuclei

Monthly Notices of the Royal Astronomical Society

Energy distribution of relativistic electrons in the young supernova remnant G1.9+0.3

Secondary-electron radiation accompanying hadronic GeV-TeV gamma-rays from supernova remnants (vol 492, pg 4246, 2020)

The contribution of winds from star clusters to the Galactic cosmic-ray population

Detailed Analysis of the TeV γ-Ray Sources 3HWC J1928+178, 3HWC J1930+188, and the New Source HAWC J1932+192

Analysis Methods for Gamma-Ray Astronomy

An asymmetrical model for high-energy radiation of Cassiopeia A


[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Token Merging for Fast Stable Diffusion

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Official implementation of VQ-Diffusion

Vector Quantized Diffusion Model for Text-to-Image Synthesis

DIRE for Diffusion-Generated Image Detection

Improved Vector Quantized Diffusion Models

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Bidirectional Attention Flow for Machine Comprehension

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Meeting of the Association for Computational Linguistics

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

Difficulty Controllable Generation of Reading Comprehension Questions

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

ODSQA: Open-domain Spoken Question Answering Dataset

Semi-supervised Training Data Generation for Multilingual Question Answering

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)


GUI for a Vocal Remover that uses Deep Neural Networks.

Multi-scale Multi-band DenseNets for Audio Source Separation

FSD: An Initial Chinese Dataset for Fake Song Detection

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Smooth Talking and Fast Music: Understanding the Importance of Voice and Music in Travel and Tourism Ads via Acoustic Analytics

Benchmarks and leaderboards for sound demixing tasks

Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion


Taming Transformers for High-Resolution Image Synthesis

Vector-quantized Image Modeling with Improved VQGAN

Visual Prompting via Image Inpainting

Geometry-Free View Synthesis: Transformers and no 3D Priors

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

Aligning Latent and Image Spaces to Connect the Unconnectable

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation


Fit and compare complex models reliably and rapidly. Advanced nested sampling.

The eROSITA Final Equatorial-Depth Survey (eFEDS): The AGN Catalogue and its X-ray Spectral Properties

AT 2019avd: a novel addition to the diverse population of nuclear transients

Exploring the likelihood of the 21-cm power spectrum with simulation-based inference

The SRG/eROSITA all-sky survey

The relation between accretion rate and jet power in early-type galaxies with thermally unstable hot atmospheres

Learning the composition of ultrahigh energy cosmic rays

The SRG-eROSITA All-Sky Survey : Constraints on f(R) Gravity from
  Cluster Abundance


Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

ReCo: Retrieve and Co-segment for Zero-shot Transfer

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization

Accurate fruit localisation using high resolution LiDAR-camera fusion and instance segmentation

Harmonic Convolutional Networks based on Discrete Cosine Transform

DCSegNet: Deep Learning Framework Based on Divide-and-Conquer Method for Liver Segmentation

ELA: Efficient Local Attention for Deep Convolutional Neural Networks


MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

SSD: Single Shot MultiBox Detector

Data-Free Quantization Through Weight Equalization and Bias Correction

Post-Training Piecewise Linear Quantization for Deep Neural Networks

GAN "Steerability" without optimization

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery

Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors

Shift-and-Balance Attention


CRyPTIC data processing pipelines

A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics

Epidemiological cutoff values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis

TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis

A data compendium of Mycobacterium tuberculosis antibiotic resistance

Rifampicin resistant Mycobacterium tuberculosis in Vietnam, 2020–2022

Journal of clinical tuberculosis and other mycobacterial diseases

Clockwork database

Zenodo (CERN European Organization for Nuclear Research)


LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

WizardLM: Empowering Large Language Models to Follow Complex Instructions

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Instruction Tuning for Large Language Models: A Survey

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

AlpaGasus: Training A Better Alpaca with Fewer Data

OctoPack: Instruction Tuning Code Large Language Models

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

A Survey on Large Language Models for Software Engineering

Lion: Adversarial Distillation of Proprietary Large Language Models

UltraMedical: Building Specialized Generalists in Biomedicine


End-to-end ASR/LM implementation with PyTorch

Enhancing Monotonic Multihead Attention for Streaming ASR

CTC-synchronous Training for Monotonic Attention Model

StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR

VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording


A versatile simulation and optimization platform for power-system planning and operations.


Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Closed-Form Factorization of Latent Semantics in GANs

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

Few-shot Image Generation via Cross-domain Correspondence

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

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

Lifting 2D StyleGAN for 3D-Aware Face Generation

Anycost GANs for Interactive Image Synthesis and Editing

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

The Geometry of Deep Generative Image Models and its Applications


A pure-python fully automated and unattended fuzzing framework.

The Art, Science, and Engineering of Fuzzing: A Survey

ASE - FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

PropFuzz — An IT-security fuzzing framework for proprietary ICS protocols

International Conference on Applied Electronics

A Review of Machine Learning Applications in Fuzzing

Test Data Generation for Stateful Network Protocol Fuzzing Using a Rule-Based State Machine

清华大学学报：自然科学英文版

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing

Fuzzers for Stateful Systems: Survey and Research Directions

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities


ASHLAR: Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes

Receptor-Driven ERK Pulses Reconfigure MAPK Signaling and Enable Persistence of Drug-Adapted BRAF-Mutant Melanoma Cells

Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR

Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 severity

Single-cell tumor-immune microenvironment of BRCA1/2 mutated high-grade serous ovarian cancer

Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

IEEE transactions on visualization and computer graphics


Pellet is an OWL 2 reasoner in Java; open source (AGPL) and commercially licensed, commercial support available.

A Trust Model for Data Sharing in Smart Cities

International Conference on Communications

Smart Environments and Social Robots for Age-Friendly Integrated Care Services

International journal of environmental research and public health

Deep Learning for Ontology Reasoning

Automated discovery and integration of semantic urban data streams: The ACEIS middleware

Finding melanoma drugs through a probabilistic knowledge graph

DBpedia Archivo: A Web-Scale Interface for Ontology Archiving Under Consumer-Oriented Aspects

Harnessing ontology and machine learning for RSO classification

SUAVE: An Exemplar for Self-Adaptive Underwater Vehicles

Semantic Systems : In the Era of Knowledge Graphs : 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7-10, 2020 : proceedings

A rule-based decision support system for aiding iron deficiency management


[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Instruction Tuning for Large Language Models: A Survey

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

AutoAD III: The Prequel -- Back to the Pixels

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


StableLM: Stability AI Language Models

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

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

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

A Survey on Vision-Language-Action Models for Embodied AI

A Survey on Data Augmentation in Large Model Era

Unpacking the Ethical Value Alignment in Big Models

Test-Case-Driven Programming Understanding in Large Language Models for Better Code Generation

Isolating Compiler Bugs by Generating Effective Witness Programs With Large Language Models

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production


Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

Designing an Encoder for StyleGAN Image Manipulation

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

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

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild

DF40: Toward Next-Generation Deepfake Detection

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct
  Cross-modal Mapping and Geometric Regularization

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance


Post-analysis of immune repertoire sequencing data

VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires

Noninvasive Molecular Monitoring in Multiple Myeloma Patients Using Cell-Free Tumor DNA: A Pilot Study.

The Journal of molecular diagnostics : JMD

VDJviz: a versatile browser for immunogenomics data

Functionally specialized human CD4+ T-cell subsets express physicochemically distinct TCRs

The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling

Reduced diversity of intestinal T-cell receptor repertoire in patients with Crohn’s disease

Frontiers in cellular and infection microbiology


PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Improved Training of Wasserstein GANs

Wasserstein GAN

Deep Back-Projection Networks For Super-Resolution

Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

International Conference on Image Processing

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

Revisiting RCAN: Improved Training for Image Super-Resolution

Journey Towards Tiny Perceptual Super-Resolution

A Practical Contrastive Learning Framework for Single-Image Super-Resolution


Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data

Robust barcoding and identification of Mycobacterium tuberculosis lineages for epidemiological and clinical studies

The whole-genome sequencing in predicting Mycobacterium tuberculosis drug susceptibility and resistance in Papua, Indonesia

Geno-Spatial Distribution of Mycobacterium Tuberculosis and Drug Resistance Profiles in Myanmar–Thai Border Area

Tropical medicine and infectious disease

Natural Polymorphisms in Mycobacterium tuberculosis Conferring Resistance to Delamanid in Drug-Naive Patients

Use of Whole-Genome Sequencing to Predict Mycobacterium tuberculosis Complex Drug Resistance from Early Positive Liquid Cultures

Analysis of Drug-Resistance Characteristics and Genetic Diversity of Multidrug-Resistant Tuberculosis Based on Whole-Genome Sequencing on the Hainan Island, China

The Evolution and Transmission Dynamics of Multidrug-Resistant Tuberculosis in an Isolated High-Plateau Population of Tibet, China

A precision overview of genomic resistance screening in Ecuadorian isolates of Mycobacterium tuberculosis using web-based bioinformatics tools

Genomic analysis of Mycobacterium tuberculosis variant bovis strains isolated from bovine in the state of Mato Grosso, Brazil

Improving Multidrug-Resistance Tuberculosis Papua’s Management Using Whole Genome Sequencing

Proceedings of the 4th International Symposium on Health Research (ISHR 2019)


Tools test whether admixture occurred and more

Reconstructing the Deep Population History of Central and South America

The comparative genomics and complex population history of Papio baboons

On the limits of fitting complex models of population history to f-statistics

Human population dynamics and Yersinia pestis in ancient northeast Asia

Genome of a middle Holocene hunter-gatherer from Wallacea

Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization

Genetics and Material Culture Support Repeated Expansions into Paleolithic Eurasia from a Population Hub Out of Africa

Indian genetic heritage in Southeast Asian populations

Genomic insights into rapid speciation within the world’s largest tree genus Syzygium

Population dynamics and genetic connectivity in recent chimpanzee history


Use the HYSPLIT model from inside R and do more with it

Marine and terrestrial influences on ice nucleating particles during continuous springtime measurements in an Arctic oilfield location

Summertime surface PM&lt;sub&gt;1&lt;/sub&gt; aerosol composition and size by source region at the Lampedusa island in the central Mediterranean Sea

Chemical composition and source apportionment of atmospheric aerosols on the Namibian coast

Combining Regulatory Instruments and Low-Cost Sensors to Quantify the Effects of 2020 California Wildfires on PM2.5 in San Joaquin Valley


WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery

Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases

High-throughput allele-specific expression across 250 environmental conditions

Genetic and Transcriptional Analysis of Human Host Response to Healthy Gut Microbiota

Population-scale study of eRNA transcription reveals bipartite functional enhancer architecture

Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood

Genetic architecture of microRNA expression and its link to complex diseases in the Japanese population

scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation

A Chinese indicine pan-genome reveals a wealth of novel structural variants introgressed from other Bos species


Generate a dendrogram from a dataset

Investigating Fragmentation of Gas Structures in OB Cluster-forming Molecular Clump G33.92+0.11 with 1000 au Resolution Observations of ALMA

Structural and Dynamical Analysis of 0.1 pc Cores and Filaments in the 30 Doradus-10 Giant Molecular Cloud

A Parsec-scale Catalog of Molecular Clouds in the Solar Neighborhood Based on 3D Dust Mapping: Implications for the Mass–Size Relation

Universal gravity-driven isothermal turbulence cascade in disk galaxies


Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6

Ribosomal DNA copy number amplification and loss in human cancers is linked to tumor genetic context, nucleolus activity, and proliferation

Transcriptome driven characterization of curly- and smooth-leafed endives reveals molecular differences in the sesquiterpenoid pathway

Evolutionary History, Genomic Adaptation to Toxic Diet, and Extinction of the Carolina Parakeet

Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing

elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling

A Noninvasive Multianalytical Approach for Lung Cancer Diagnosis of Patients with Pulmonary Nodules

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

The RNA-binding profile of the splicing factor SRSF6 in immortalized human pancreatic β-cells

Sex-Biased Population Admixture Mediated Subsistence Strategy Transition of Heishuiguo People in Han Dynasty Hexi Corridor


Public repository of the META-SHARE software

The META-SHARE Language Resources Sharing Infrastructure: Principles, Challenges, Solutions

The META-SHARE Metadata Schema for the Description of Language Resources

RDF Representation of Licenses for Language Resources

Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications

META-SHARE: One year after

META-SHARE v2: An Open Network of Repositories for Language Resources including Data and Tools

CLARIN: Distributed Language Resources and Technology in a European Infrastructure

A Data Sharing and Annotation Service Infrastructure

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS


MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reinforcement Learning Friendly Vision-Language Model for Minecraft

Animal-AI 3: What's New & Why You Should Care


'ggplot2' Based Publication Ready Plots

High-Resolution Transcriptomic Profiling of the Heart During Chronic Stress Reveals Cellular Drivers of Cardiac Fibrosis and Hypertrophy

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain

Single-cell transcriptomic atlas of primate cardiopulmonary aging

In vitro interaction network of a synthetic gut bacterial community

Osteocytes regulate senescence of bone and bone marrow

A Link Between Mitochondrial Dysfunction and the Immune Microenvironment of Salivary Glands in Primary Sjogren’s Syndrome

MyelinJ: an ImageJ macro for high throughput analysis of myelinating cultures

Antibiotics and the developing intestinal microbiome, metabolome and inflammatory environment: a randomized trial of preterm infants

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Enterosignatures define common bacterial guilds in the human gut microbiome


Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Attention Networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Supervised Community Detection with Line Graph Neural Networks

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Learning on Attribute-Missing Graphs

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE Transactions on Knowledge and Data Engineering

You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP

AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction

IMF: Interactive Multimodal Fusion Model for Link Prediction


A simple, open database of local government climate action plan documents and emissions data.


Regression Modeling Strategies

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Prediction of Global Functional Outcome and Post-Concussive Symptoms after Mild Traumatic Brain Injury: External Validation of Prognostic Models in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study

A novel ferroptosis-related gene signature for overall survival prediction and immune infiltration in patients with breast cancer

Landscape of exitrons in gastric cancer

Development and Validation of a Nomogram for Preoperative Prediction of Early Recurrence after Upfront Surgery in Pancreatic Ductal Adenocarcinoma by Integrating Deep Learning and Radiological Variables

An Immune Signature Robustly Predicts Clinical Deterioration for Hepatitis C Virus-Related Early-Stage Cirrhosis Patients


A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Structure-Grounded Pretraining for Text-to-SQL

North American Chapter of the Association for Computational Linguistics

An Imitation Game for Learning Semantic Parsers from User Interaction

Generating Semantically Valid Adversarial Questions for TableQA


A (mostly) universal methylation extractor for BS-seq experiments.

Next-Generation Sequencing Technology: Current Trends and Advancements

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA

Retention of paternal DNA methylome in the developing zebrafish germline

Extensive epigenetic reprogramming during the life cycle of Marchantia polymorpha

Pattern of DNA Methylation in Daphnia: Evolutionary Perspective

Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements

SMYD2 promoter DNA methylation is associated with abdominal aortic aneurysm (AAA) and SMYD2 expression in vascular smooth muscle cells

Engineering of Effector Domains for Targeted DNA Methylation with Reduced Off-Target Effects

International journal of molecular sciences

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

WEE1 inhibition induces anti-tumor immunity by activating ERV and the dsRNA pathway


An interactive web-tool for RNA-seq analysis

A chemical biology toolbox to study protein methyltransferases and epigenetic signaling

AgriSeqDB: an online RNA-Seq database for functional studies of agriculturally relevant plant species

Dissecting the RecA-(In)dependent Response to Mitomycin C in Mycobacterium tuberculosis Using Transcriptional Profiling and Proteomics Analyses

The two-component system WalKR provides an essential link between cell wall homeostasis and DNA replication in Staphylococcus aureus

Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients

Heterogeneous Tfh cell populations that develop during enteric helminth infection predict the quality of type 2 protective response


District heating system optimisation and simulation models

District-Heating-Grid Simulation in Python: DiGriPy


Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Neural Controlled Differential Equations for Irregular Time Series

Scalable Gradients for Stochastic Differential Equations

On Neural Differential Equations

Neural SDEs as Infinite-Dimensional GANs

Efficient and Accurate Gradients for Neural SDEs

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics

Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data

STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction

Latent Stochastic Differential Equations for Change Point Detection


High-Performance Face Recognition Library on PaddlePaddle & PyTorch

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

Face.evoLVe: A High-Performance Face Recognition Library

ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence

IEEE International Conference on Automatic Face & Gesture Recognition

Technical Challenges for Training Fair Neural Networks

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

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

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

Boosting Semi-Supervised Face Recognition with Noise Robustness


System for Medical Concept Extraction and Linking

Knowledge grounded medical dialogue generation using augmented graphs

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation

Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation

Clinical Natural Language Processing Workshop

Improving Summarization with Human Edits

Clinical concept recognition: Evaluation of existing systems on EHRs

A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

On The Persona-based Summarization of Domain-Specific Documents


pycallgraph is a Python module that creates call graphs for Python programs.

PyCG: Practical Call Graph Generation in Python

Toward efficient interactions between Python and native libraries

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

Context-Aware Code Generation Framework for Code Repositories: Local, Global, and Third-Party Library Awareness


NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

Image Captioning with Semantic Attention

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Cross-Lingual Image Caption Generation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Guiding Long-Short Term Memory for Image Caption Generation

Text-Guided Attention Model for Image Captioning

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

Neural Image Caption Generation with Weighted Training and Reference

Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings


A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

Learning to Compose Dynamic Tree Structures for Visual Contexts

Recovering the Unbiased Scene Graphs from the Biased Ones

Adaptive Fine-Grained Predicates Learning for Scene Graph Generation

roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs

Iterative Scene Graph Generation

Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures

Dual-Branch Hybrid Learning Network for Unbiased Scene Graph Generation

Cross-Modal Graph with Meta Concepts for Video Captioning

Improving Scene Graph Generation with Superpixel-Based Interaction Learning


Data-driven wavefront-based PSF modelling framework.

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

Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model

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

Frontiers in Astronomy and Space Sciences


ENCODE ATAC-seq pipeline

Base-resolution models of transcription factor binding reveal soft motif syntax

Activation of NF-κB and p300/CBP potentiates cancer chemoimmunotherapy through induction of MHC-I antigen presentation

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

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments

Predicting transcription factor binding in single cells through deep learning

Massively parallel characterization of transcriptional regulatory elements in three diverse human cell types

bioRxiv : the preprint server for biology

Cortical RORβ is required for layer 4 transcriptional identity and barrel integrity

Evidence of pioneer factor activity of an oncogenic fusion transcription factor

Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities

TGFβ promotes widespread enhancer chromatin opening and operates on genomic regulatory domains


Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Authorship Attribution for Neural Text Generation

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

With Little Power Comes Great Responsibility

A Distributional Approach to Controlled Text Generation

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models

Detecting computer-generated disinformation

International Journal of Data Science and Analytics

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

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

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge

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


Tools for Flexible Spectroscopic Inference

Placing the Spotted T Tauri Star LkCa 4 on an HR Diagram

The SPHINX M-dwarf Spectral Grid. I. Benchmarking New Model Atmospheres to Derive Fundamental M-Dwarf Properties

Uniform Forward-modeling Analysis of Ultracool Dwarfs. I. Methodology and Benchmarking

Observationally Constraining the Starspot Properties of Magnetically Active M67 Sub-subgiant S1063

iancze/Starfish: ca. Czekala et al. 2015 release w/ Zenodo


Deep learning model for predicting environmental variables on river systems


PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

Underwater Ranker: Learn Which Is Better and How to Be Better

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment

PyTorch Image Quality: Metrics for Image Quality Assessment

Content-based Unrestricted Adversarial Attack

Correlation Matching Transformation Transformers for UHD Image Restoration

HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks

Semi-supervised Cycle-GAN for face photo-sketch translation in the wild

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

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning


STAR-Fusion codebase

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

The driver landscape of sporadic chordoma

A first-generation pediatric cancer dependency map

Computational Oncology in the Multi-Omics Era: State of the Art

Indel detection from RNA-seq data: tool evaluation and strategies for accurate detection of actionable mutations

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

Familial thrombocytopenia due to a complex structural variant resulting in a WAC-ANKRD26 fusion transcript

Proteogenomic Analysis Unveils the HLA Class I-Presented Immunopeptidome in Melanoma and EGFR-Mutant Lung Adenocarcinoma

Gene Fusions Create Partner and Collateral Dependencies Essential to Cancer Cell Survival

Identification and Characterization of Non-Coding RNAs in Thymoma

Medical science monitor : international medical journal of experimental and clinical research


Java utilities for Bioinformatics

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Tracking the origin of two genetic components associated with transposable element bursts in domesticated rice

JVarkit: java-based utilities for Bioinformatics

BAMClipper: removing primers from alignments to minimize false-negative mutations in amplicon next-generation sequencing

Search for Rare Copy-Number Variants in Congenital Heart Defects Identifies Novel Candidate Genes and a Potential Role for FOXC1 in Patients With Coarctation of the Aorta

Assessing DNA Sequence Alignment Methods for Characterizing Ancient Genomes and Methylomes

bioalcidae, samjs and vcffilterjs: object-oriented formatters and filters for bioinformatics files

Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

Pleiotropic effects of regulatory variation in tan result in correlation of two pigmentation traits in Drosophila melanogaster

Characterization of FMR1 Repeat Expansion and Intragenic Variants by Indirect Sequence Capture


Draw UpSet plots with Matplotlib

Nanopore direct RNA sequencing maps an Arabidopsis N6 methyladenosine epitranscriptome

Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Isolation and Identification of Staphylococcus Species Obtained from Healthy Companion Animals and Humans

Antimicrobial Resistance and Extended-Spectrum Beta-Lactamase Genes in Enterobacterales, Pseudomonas and Acinetobacter Isolates from the Uterus of Healthy Mares

A comprehensive tandem repeat catalog of the human genome


Machine Learning Interatomic Potentials with the Atomic Cluster Expansion

ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion

A Theoretical Case Study of the Generalisation of Machine-learned Potentials

Atomic Cluster Expansion without Self-Interaction

Benchmarking of machine learning interatomic potentials for reactive
  hydrogen dynamics at metal surfaces

Surrogate Models for Vibrational Entropy Based on a Spatial
  Decomposition


Machine Learning toolbox for Humans

A Roadmap for HEP Software and Computing R&D for the 2020s

Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics

Disk storage management for LHCb based on Data Popularity estimator

Machine learning and multivariate goodness of fit

Reproducible Experiment Platform


Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Putting People in their Place: Monocular Regression of 3D People in Depth

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image.

A Survey of Advanced Computer Vision Techniques for Sports


Bamboo see https://github.com/cornellblockchain/bamboo

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

Scilla: a Smart Contract Intermediate-Level LAnguage

Safer smart contract programming with Scilla

Proceedings of the ACM on Programming Languages

A Generalized Formal Semantic Framework for Smart Contracts

Mandala: A Smart Contract Programming Language


Vector (and Scalar) Quantization, in Pytorch

Neural Discrete Representation Learning

SoundStream: An End-to-End Neural Audio Codec

Self-supervised Learning with Random-projection Quantizer for Speech Recognition

Finite Scalar Quantization: VQ-VAE Made Simple

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Discrete Key-Value Bottleneck

Towards image compression with perfect realism at ultra-low bitrates

Vector Quantized Time Series Generation with a Bidirectional Prior Model

Exploration Into Translation-Equivariant Image Quantization

Masked Generative Modeling with Enhanced Sampling Scheme


machine learning with logical rules in Python

Counterfactual Phenotyping with Censored Time-to-Events

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

Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain

NetRCA: An Effective Network Fault Cause Localization Algorithm

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis

Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs

Rule-based Out-Of-Distribution Detection

PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks

Frontiers in research metrics and analytics

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for
  Energy Consumption Prediction

Intelligent Tools to Monitor, Control and Predict Wastewater Reclamation and Reuse


Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/

STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets

APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion


[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Once-for-All: Train One Network and Specialize it for Efficient Deployment

Hardware-Centric AutoML for Mixed-Precision Quantization

L^2NAS: Learning to Optimize Neural Architectures via
  Continuous-Action Reinforcement Learning

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Tackling Neural Architecture Search With Quality Diversity Optimization


MMSA is a unified framework for Multimodal Sentiment Analysis.

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality

Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis

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

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis

On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation


R package implementing analysis tools for lattice QCD

Scattering of two and three physical pions at maximal isospin from lattice QCD

Hadron–Hadron interactions from
    N_f=2+1+1
Nf=2+1+1 lattice QCD: the
    ρ
ρ-resonance

Relativistic N-particle energy shift in finite volume

The ρ-resonance with physical pion mass from N_f=2 lattice QCD

Digitising SU(2) gauge fields and the freezing transition

Three-body resonances in the φ4 theory

Elastic π − N scattering in the I = 3/2 channel

Hamiltonian limit of lattice QED in 2+1 dimensions


Basic minc-tools from former minc repository

[18F]FDG PET signal is driven by astroglial glutamate transport

Cerebral atrophy in amyotrophic lateral sclerosis parallels the pathological distribution of TDP43

Habenular Involvement in Response to Subcallosal Cingulate Deep Brain Stimulation for Depression

Super-resolution QSM in little or no additional time for imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes


:rocket: A sequencing simulator

Simulating Illumina metagenomic data with InSilicoSeq

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data


Quantitative features for mass spectrometry data

Replication of single-cell proteomics data reveals important computational challenges

The current state of single-cell proteomics data analysis

DEP2: an upgraded comprehensive analysis toolkit for quantitative proteomics data


VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

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

A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19

Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions

Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis

Sexist Slurs: Reinforcing Feminine Stereotypes Online

Over a Decade of Social Opinion Mining: A Systematic Review

The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records


This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

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

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization

Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text

Visual Speech Enhancement Without A Real Visual Stream

Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs

DF40: Toward Next-Generation Deepfake Detection

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes

Exposing Lip-syncing Deepfakes from Mouth Inconsistencies


Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

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

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

SpeedySpeech: Efficient Neural Speech Synthesis

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics


Woltka: a versatile meta'omic data classifier

Effects of ‘Healthy’ Fecal Microbiota Transplantation against the Deterioration of Depression in Fawn-Hooded Rats

Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy

Evaluation of the Effect of Storage Methods on Fecal, Saliva, and Skin Microbiome Composition

A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities

Zebra: Static and Dynamic Genome Cover Thresholds with Overlapping References

Gut microbiome dynamics and predictive value in hospitalized COVID-19 patients: a comparative analysis of shallow and deep shotgun sequencing

The Impact of Maternal Asthma on the Preterm Infants' Gut Metabolome and Microbiome - The Microbiome, Atopic Disease, and Prematurity (MAP) Study


OpenVR SDK

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

HTC Vive MeVisLab integration via OpenVR for medical applications

Controller-based Text-input Techniques for Virtual Reality: An Empirical Comparison

International Journal of Virtual Reality

TanGi: Tangible Proxies for Embodied Object Exploration and Manipulation in Virtual Reality

Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays

Men Scare Me More: Gender Differences in Social Fear Conditioning in Virtual Reality

Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR

Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study

Proceedings of the 30th ACM International Conference on Multimedia

Rhoban Football Club: RoboCup Humanoid KidSize 2019 Champion Team Paper

A Benchmarking Framework for Interactive 3D Applications in the Cloud


Cluster Investigation & Virus Epidemiology Tool

Transmission of paediatric respiratory syncytial virus and influenza in the wake of the COVID-19 pandemic

Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission

The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks

Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - a high risk community-hospital interface


An implementation of CycleGan using TensorFlow

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

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

International Joint Conference on Neural Network

Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment

Anomaly Generation Using Generative Adversarial Networks in Host-Based Intrusion Detection

Ubiquitous Computing, Electronics & Mobile Communication Conference

Can Synthetic Data Improve Object Detection Results for Remote Sensing Images?

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection


API to run VirtualHome, a Multi-Agent Household Simulator

VirtualHome: Simulating Household Activities via Programs

Pre-Trained Language Models for Interactive Decision-Making

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems


A large-scale 7B pretraining language model developed by BaiChuan-Inc.

Measuring Massive Multitask Language Understanding

RoFormer: Enhanced Transformer with Rotary Position Embedding

Qwen Technical Report

GPT Can Solve Mathematical Problems Without a Calculator

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Radiology-Llama2: Best-in-Class Large Language Model for Radiology

CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Evaluating Large Language Models for Radiology Natural Language Processing

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models


CoLight: Learning Network-level Cooperation for Traffic Signal Control

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

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

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

International Conference on Information and Knowledge Management

PlanLight: Learning to Optimize Traffic Signal Control With Planning and Iterative Policy Improvement

Variational Policy Propagation for Multi-agent Reinforcement Learning


CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

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

CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Capturing Failures of Large Language Models via Human Cognitive Biases

Natural Language to Code Generation in Interactive Data Science Notebooks

Understanding LLMs: A Comprehensive Overview from Training to Inference

Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans

A Survey on Large Language Models for Software Engineering

When LLMs Meet Cybersecurity: A Systematic Literature Review

A Simple, Yet Effective Approach to Finding Biases in Code Generation


Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Mip-Splatting: Alias-free 3D Gaussian Splatting

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization

Compact 3D Scene Representation via Self-Organizing Gaussian Grids

Revising Densification in Gaussian Splatting

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric
  Diffusion

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via
  Gaussian Splatting

DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D
  Reconstruction Via Gaussian Consensus

EVOLUTION OF RENDERING BASED ON RADIANCE FIELDS. THE PALERMO CASE STUDY FOR A COMPARISON BETWEEN NERF AND GAUSSIAN SPLATTING

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


An automatic engine for predicting materials properties.

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

A critical examination of compound stability predictions from machine-learned formation energies

High-throughput discovery of high Curie point two-dimensional ferromagnetic materials

AtomSets as a hierarchical transfer learning framework for small and large materials datasets


An R package for multivariate adaptive shrinkage.

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

Multi-omics colocalization with genome-wide association studies reveals a context-specific genetic mechanism at a childhood onset asthma risk locus

A genome-wide multiphenotypic association analysis identified candidate genes and gene ontology shared by four common risky behaviors

The statistical practice of the GTEx Project: from single to multiple tissues


Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Adversarial Diffusion Distillation

Exploiting Diffusion Prior for Real-World Image Super-Resolution

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Holistic Evaluation of Text-To-Image Models

TextDiffuser: Diffusion Models as Text Painters

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D


Application for inferring subclonal composition and evolution from whole-genome sequencing data.

Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

A community effort to create standards for evaluating tumor subclonal reconstruction

Quantifying the influence of mutation detection on tumour subclonal reconstruction

Reconstructing tumor evolutionary histories and clone trees in polynomial-time with SubMARine

Clinical and molecular features of acquired resistance to immunotherapy in non-small cell lung cancer

Cellular and Molecular Architecture of Hematopoietic Stem Cells and Progenitors in Genetic Models of Bone Marrow Failure

A Bayesian Nonparametric Model for Inferring Subclonal Populations from Structured DNA Sequencing Data

Exact inference under the perfect phylogeny model


SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Rotation Equivariant Siamese Networks for Tracking

Fast Visual Object Tracking with Rotated Bounding Boxes

Few-Shot Backdoor Attacks on Visual Object Tracking

SiamMan: Siamese Motion-aware Network for Visual Tracking

Tackling Occlusion in Siamese Tracking with Structured Dropouts

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

Siamese Tracking with Lingual Object Constraints

An Analysis of Object Representations in Deep Visual Trackers


FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

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

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Survey of Vector Database Management Systems

Reconfigurable Inverted Index

Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search

Attention-Based Audio Embeddings for Query-by-Example


Extensible Combinatorial Optimization Learning Environments

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

Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning


Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

The False Promise of Imitating Proprietary LLMs

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Focused Transformer: Contrastive Training for Context Scaling

Lemur: Harmonizing Natural Language and Code for Language Agents

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Multilingual Mathematical Autoformalization

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback


dataset and code for 2016 paper "Learning a Driving Simulator"

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Learning a Driving Simulator

Predicting Scene Parsing and Motion Dynamics in the Future

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network

Road Context-aware Intrusion Detection System for Autonomous Cars

ARTDL: Adaptive Random Testing for Deep Learning Systems

Practical Issues of Action-conditioned Next Image Prediction

Diffusion for World Modeling: Visual Details Matter in Atari


Yet another Japanese morphological analyzer

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

A clinical specific BERT developed using a huge Japanese clinical text corpus

WeChat Neural Machine Translation Systems for WMT21

The NiuTrans Machine Translation Systems for WMT20

Empirical Methods in Natural Language Processing

fugashi, a Tool for Tokenizing Japanese in Python

The NiuTrans Machine Translation Systems for WMT21

An Empirical Study of Generating Texts for Search Engine Advertising

North American Chapter of the Association for Computational Linguistics

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling

Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing

Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language


A novel machine learning pipeline to analyse spatial transcriptomics data

stLearn: integrating spatial location, tissue morphology and gene expression to find cell types, cell-cell interactions and spatial trajectories within undissociated tissues

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Deep Learning in Single-Cell Analysis

Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients


An industrial deep learning framework for high-dimension sparse data

Learning Tree-based Deep Model for Recommender Systems

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Learning Optimal Tree Models Under Beam Search

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent


Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN

Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN


fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

Mosdepth: quick coverage calculation for genomes and exomes

Rapid and comprehensive diagnostic method for repeat expansion diseases using nanopore sequencing

A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers

Identification of Copy Number Variation in Domestic Chicken Using Whole-Genome Sequencing Reveals Evidence of Selection in the Genome

Animals : an open access journal from MDPI

A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungusRhizophagus irregularis

A Computational Framework for Comprehensive Genomic Profiling in Solid Cancers: The Analytical Performance of a High-Throughput Assay for Small and Copy Number Variants

Uncovering the true features of dystrophin gene rearrangement and improving the molecular diagnosis of Duchenne and Becker muscular dystrophies

Whole-exome sequencing in familial type 2 diabetes identifies an atypical missense variant in the RyR2 gene


Run Keras models in the browser, with GPU support using WebGL

Moving Deep Learning into Web Browser: How Far Can We Go?

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Approach for Improving User Interface Based on Gesture Recognition

Live Emoji: Semantic Emotional Expressiveness of 2D Live Animation


The Ferret program from NOAA/PMEL


Python framework for Virtual Heart Rate

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

An Open Framework for Remote-PPG Methods and Their Assessment

pyVHR: a Python framework for remote photoplethysmography

Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication

Person Re-identification Attack on Wearable Sensing


Mobility, an open-source library for mobility modelisation


COIN-OR Linear Programming Solver

Design and implementation of a modular interior-point solver for linear optimization

ROC++: Robust Optimization in C++

Preprocessing and cutting planes with conflict graphs

Learning to Reformulate for Linear Programming

Linear programming feedrate optimization - Adaptive path sampling and feedrate override

The International Journal of Advanced Manufacturing Technology

From an Interior Point to a Corner Point: Smart Crossover

2-neighborly 0/1-polytopes of dimension 7


Image Deblurring using Generative Adversarial Networks

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

GAN Based Image Deblurring Using Dark Channel Prior

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

Face and Body-Based Human Recognition by GAN-Based Blur Restoration


Command-line utility for limiting an adapter's bandwidth

Cloud-gaming: Analysis of Google Stadia traffic

Con-Pi: A Distributed Container-Based Edge and Fog Computing Framework

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Petals: Collaborative Inference and Fine-tuning of Large Models

Semi-dynamic load balancing

Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation

Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection

Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning

The Effects of Computational Resources on Flaky Tests

BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge


Guided Pattern Mining for API Misuse Detection by Change-Based Code Analysis

From source code to test cases: A comprehensive benchmark for resource leak detection in Android apps

An Experimental Analysis of Graph-Distance Algorithms for Comparing API Usages

An Investigation into Misuse of Java Security APIs by Large Language Models

Automated Change Rule Inference for Distance-Based API Misuse Detection


Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

Genetic diversity fuels gene discovery for tobacco and alcohol use

Causal effects of gut microbiota on diabetic retinopathy: A Mendelian randomization study

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

GWAS of serum ALT and AST reveals an association of SLC30A10 Thr95Ile with hypermanganesemia symptoms

The role of vitamin C in pneumonia and COVID-19 infection in adults with European ancestry: a Mendelian randomisation study

Genome-wide association study meta-analysis of suicide death and suicidal behavior

Graves’ Disease and Rheumatoid Arthritis: A Bidirectional Mendelian Randomization Study

Host genetic factors of COVID-19 susceptibility and disease severity in a Thai population

Loci for insulin processing and secretion provide insight into type 2 diabetes risk


A Python package for exploring and analysing genetic variation data

Genomic Analysis of Plasmodium vivax in Southern Ethiopia Reveals Selective Pressures in Multiple Parasite Mechanisms

Genome-wide divergence among invasive populations of Aedes aegypti in California

Resistance to pirimiphos-methyl in West African Anopheles is spreading via duplication and introgression of the Ace1 locus

Genomic consequences of domestication of the Siamese fighting fish

An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples

Radiation with reticulation marks the origin of a major malaria vector

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

Horizontal transmission enables flexible associations with locally adapted symbiont strains in deep-sea hydrothermal vent symbioses

A deep learning framework for characterization of genotype data

Evidence of Local Extinction and Reintroduction of Aedes aegypti in Exeter, California

A multiplexed plant-animal SNP array for selective breeding and species conservation applications


A library for debugging/inspecting machine learning classifiers and explaining their predictions

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Prediction of Mean Wave Overtopping Discharge Using Gradient Boosting Decision Trees

Named Entity Recognition for Sensitive Data Discovery in Portuguese

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

ferret: a Framework for Benchmarking Explainers on Transformers

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities

Transfer Learning Facilitates the Prediction of Polymer-Surface Adhesion Strength


MetaXcan software and manuscript

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Integrating predicted transcriptome from multiple tissues improves association detection

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility

Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition

Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases

Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification


Collection of hyperparameter optimization benchmark problems

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions

Searching in the Forest for Local Bayesian Optimization


A multi-scale energy systems modelling framework

Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability

Adequacy of time-series reduction for renewable energy systems

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

Harder, better, faster, stronger: understanding and improving the tractability of large energy system models


A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Generative Art Using Neural Visual Grammars and Dual Encoders

Visual Conceptual Blending with Large-scale Language and Vision Models

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Seeding Diversity into AI Art

The Cultivated Practices of Text-to-Image Generation

Artistic Strategies to Guide Neural Networks


Aspect Based Sentiment Analysis, PyTorch Implementations.  基于方面的情感分析，使用PyTorch实现。

Attention-based LSTM for Aspect-level Sentiment Classification

Interactive Attention Networks for Aspect-Level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification

Recurrent Attention Network on Memory for Aspect Sentiment Analysis

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce


Open Charge Map is the global public registry of electric vehicle charging locations. Established 2011. Help wanted.


PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

A Survey on Neural Speech Synthesis

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

Towards Automatic Face-to-Face Translation

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

SpeedySpeech: Efficient Neural Speech Synthesis

IndicSpeech: Text-to-Speech Corpus for Indian Languages

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


xOpera orchestrator compliant with TOSCA YAML v1.3 in the making

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Containerization for High Performance Computing Systems: Survey and Prospects

IEEE Transactions on Software Engineering

Static Analysis of Infrastructure as Code: a Survey

2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)

Automated Application Deployment on Multi-Access Edge Computing: A Survey

A Declarative Modelling Framework for the Deployment and Management of Blockchain Applications

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model


Biodiversity Data Quality (BDQ) Interest Group

Herbarium data: Global biodiversity and societal botanical needs for novel research

The Atlas of Living Australia: History, current state and future directions

Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data

Biodiversity Information Science and Standards

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Research infrastructure challenges in preparing essential biodiversity variables data products for alien invasive species

Toward a Biodiversity Data Fitness for Use Backbone (FFUB): A Node.js module prototype


The Agile Numerical Galaxy Organisation System

The formation of ultradiffuse galaxies in the RomulusC galaxy cluster simulation

Monthly Notices of the Royal Astronomical Society

The formation of isolated ultradiffuse galaxies in romulus25

TANGOS: The Agile Numerical Galaxy Organization System

The Astrophysical Journal Supplement Series

The Role of Mass and Environment on Satellite Distributions around Milky Way Analogs in the Romulus25 Simulation


A data utility for tracking climate action


Metrics for verifying forecasts

Accurate medium-range global weather forecasting with 3D neural networks

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast


PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Neural Lander: Stable Drone Landing Control Using Learned Dynamics

International Conference on Robotics and Automation

Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

Flightmare: A Flexible Quadrotor Simulator

The Role of Physics-Based Simulators in Robotics

Annual Review of Control, Robotics, and Autonomous Systems

Autonomous Drone Racing: A Survey

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems

IEEE International Conference on Pervasive Computing and Communications

Intelligent Position Controller for Unmanned Aerial Vehicles (UAV) Based on Supervised Deep Learning


VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

Online Temporal Calibration for Monocular Visual-Inertial Systems

R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Visual-Inertial Odometry of Aerial Robots

Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM

VIR-SLAM: visual, inertial, and ranging SLAM for single and multi-robot systems

Optimization-Based Online Initialization and Calibration of Monocular Visual-Inertial Odometry Considering Spatial-Temporal Constraints

Research on Event Accumulator Settings for Event-Based SLAM


Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and  Transformers. For access to our API, please email us at contact@unitary.ai.

Automated Hate Speech Detection and the Problem of Offensive Language

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

A General Language Assistant as a Laboratory for Alignment

Racial Bias in Hate Speech and Abusive Language Detection Datasets

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

DataComp: In search of the next generation of multimodal datasets

Predictability and Surprise in Large Generative Models

Pretraining Language Models with Human Preferences


Distributed and decentralized training framework for PyTorch over graph

Exponential Graph is Provably Efficient for Decentralized Deep Training

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


python module to plot beautiful and highly customizable genome browser tracks

pyGenomeTracks: reproducible plots for multivariate genomic datasets

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

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing

Cell-type specific profiling of histone post-translational modifications in the adult mouse striatum

ZCWPW1 loss-of-function variants in Alzheimer's Disease

CONTEXT-INDEPENDENT FUNCTION OF A CHROMATIN BOUNDARY IN VIVO


MQT QMAP - A tool for Quantum Circuit Mapping written in C++

Qubit Mapping and Routing via MaxSAT

A SAT Encoding for Optimal Clifford Circuit Synthesis

Limiting the Search Space in Optimal Quantum Circuit Mapping

On Optimal Subarchitectures for Quantum Circuit Mapping

MQT QMAP: Efficient Quantum Circuit Mapping

Proceedings of the 2023 International Symposium on Physical Design

Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers

Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits

Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors
  with 100+ Qubits

An Abstract Model and Efficient Routing for Logical Entangling Gates on
  Zoned Neutral Atom Architectures


viral-ngs: complete pipelines

Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

Intrathecal inflammatory responses in the absence of SARS-CoV-2 nucleic acid in the CSF of COVID-19 hospitalized patients

Rapid repeat infection of SARS-CoV-2 by two highly distinct delta-lineage viruses

Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis

The Journal of molecular diagnostics : JMD

Severe COVID-19 is associated with fungal colonization of the nasopharynx and potent induction of IL-17 responses in the nasal epithelium

medRxiv : the preprint server for health sciences


Hera: Ewasm virtual machine conforming to the EVMC API

Characterizing and Detecting WebAssembly Runtime Bugs

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts


Define your science modules to add values to Fink alerts!

FINK, a new generation of broker for the LSST community

Fink: early supernovae Ia classification using active learning

Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification

The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression


Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

TinyML Platforms Benchmarking

Introducing the Monitoring Equipment Mask Environment

Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?

An Open-Source Tool for Classification Models in Resource-Constrained Hardware

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning

Model-less Is the Best Model: Generating Pure Code Implementations to
  Replace On-Device DL Models

Optimization of Lightweight Malware Detection Models For AIoT Devices


Viral genomics analysis pipelines

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Journal of visualized experiments : JoVE

Powassan Virus Neuropathology and Genomic Diversity in Patients With Fatal Encephalitis

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses

VGEA: an RNA viral assembly toolkit

The Prevalence of Undiagnosed Salmonella enterica Serovar Typhi in Healthy School-Aged Children in Osun State, Nigeria

Natural history of Ebola virus disease in rhesus monkeys shows viral variant emergence dynamics and tissue-specific host responses


Tools for air quality data analysis


Keras model of NSFW detector

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

RedCaps: web-curated image-text data created by the people, for the people

Scalable 3D Captioning with Pretrained Models

PASS: An ImageNet replacement for self-supervised pretraining without humans

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

MPCHAT: Towards Multimodal Persona-Grounded Conversation

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal
  Dataset with One Trillion Tokens

From Pixels to Prose: A Large Dataset of Dense Image Captions

mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus


The Galacticus galaxy formation model

Quantum fluctuations masquerade as haloes: bounds on ultra-light dark matter from quadruply imaged quasars

Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass

A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos

Tidal Tracks and Artificial Disruption of Cold Dark Matter Halos

A random-walk model for dark matter halo spins

Structure formation and the global 21-cm signal in the presence of Coulomb-like dark matter-baryon interactions

Growing the First Galaxies' Merger Trees

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

A comprehensive model for the formation and evolution of the faintest Milky Way dwarf satellites

Devouring the Milky Way Satellites: Modeling Dwarf Galaxies with Galacticus


Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads

Raw Filtering of JSON Data on FPGAs

Cloudprofiler: TSC-based inter-node profiling and high-throughput data ingestion for cloud streaming workloads


Spin dynamics and generalization to SU(N) coherent states

Geometric integration of classical spin dynamics via a mean-field Schrödinger equation

Langevin dynamics of generalized spins as SU(N) coherent states

Bond-dependent anisotropy and magnon decay in cobalt-based Kitaev triangular antiferromagnet

Spin wave Hamiltonian and anomalous scattering in NiPS_3

Field-induced partial disorder in a Shastry-Sutherland lattice

Quantum to classical crossover in generalized spin systems – the temperature-dependent spin dynamics of FeI_2

Renormalized Classical Theory of Quantum Magnets

Eight-color chiral spin liquid in the S=1 bilinear-biquadratic model
  with Kitaev interactions

A high-performance implementation of atomistic spin dynamics simulations on x86 CPUs

Spin-Phonon Coupling in Transition Metal Insulators: General
  Computational Approach and Application to MnPSe_3


An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

A taxonomy of prompt modifiers for text-to-image generation

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

A Prompt Log Analysis of Text-to-Image Generation Systems

Generative Disco: Text-to-Video Generation for Music Visualization

HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Pathway to Future Symbiotic Creativity


Cycle oriented CartoCSS style.

RobotCycle: Assessing Cycling Safety in Urban Environments


Python library for knowledge graph embedding and representation learning.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

TuckER: Tensor Factorization for Knowledge Graph Completion

ProjE: Embedding Projection for Knowledge Graph Completion

A survey of embedding models of entities and relationships for knowledge graph completion

Pykg2vec: A Python Library for Knowledge Graph Embedding

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Bilinear Scoring Function Search for Knowledge Graph Learning

Learning Triple Embeddings from Knowledge Graphs

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

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications

Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?

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


Resource-adaptive cluster scheduler for deep learning training.

An Empirical Model of Large-Batch Training

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

AdaScale SGD: A User-Friendly Algorithm for Distributed Training

Blox: A Modular Toolkit for Deep Learning Schedulers


Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

TinyBERT: Distilling BERT for Natural Language Understanding

DynaBERT: Dynamic BERT with Adaptive Width and Depth

BinaryBERT: Pushing the Limit of BERT Quantization

TernaryBERT: Distillation-aware Ultra-low Bit BERT

Structured Pruning Learns Compact and Accurate Models

BiBERT: Accurate Fully Binarized BERT

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

MixKD: Towards Efficient Distillation of Large-scale Language Models

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models


scikit-learn contrib estimators

Can Transformer Language Models Predict Psychometric Properties?

Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching

Parallel MCMC Without Embarrassing Failures

Improved Learning-augmented Algorithms for k-means and k-medians Clustering

Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

Tackling Provably Hard Representative Selection via Graph Neural Networks

Tell Me What Is Good About This Property: Leveraging Reviews For Segment-Personalized Image Collection Summarization


Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

A ConvNet for the 2020s

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Building Normalizing Flows with Stochastic Interpolants

Synthetic Experience Replay

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Machine learning in solar physics

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Can denoising diffusion probabilistic models generate realistic astrophysical fields?


Analysis kit for large-scale structure datasets, the massively parallel way

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

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

FastPM: a new scheme for fast simulations of dark matter and haloes

J C A P 1 0 ( 2 0 1 7 ) 0 0 9 ournal of C osmology and A stroparticle P hysics

Journal of Cosmology and Astroparticle Physics

Iterative initial condition reconstruction

Modeling biased tracers at the field level

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

An optimal FFT-based anisotropic power spectrum estimator

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Cosmological reconstruction from galaxy light: neural network based light-matter connection


Full public release of large scale and linear scaling DFT code CONQUEST

Polar morphologies from first principles: PbTiO_3 films on SrTiO_3 substrates and the p(2 ×Λ) surface reconstruction

The pseudoatomic orbital basis: electronic accuracy and soft-mode distortions in ABO_3 perovskites.

Origin of Ferroelectric Domain Wall Alignment with Surface Trenches in Ultrathin Films.