Fast Principal Component Analysis of Large-Scale Genome-Wide Data

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

Randomized algorithms for low-rank matrix approximation: Design,
  analysis, and applications

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis

Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health

FlashPCA: fast sparse canonical correlation analysis of genomic data

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks

Genome-wide association analysis identifies a susceptibility locus for sporadic vestibular schwannoma at 9p21


Automated SpectroPhotometric Image REDuction (ASPIRED)

Identifying Blue Large Amplitude Pulsators from Gaia DR2 & ZTF DR3

Monthly notices of the Royal Astronomical Society

AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN

Rapidly Evolving Transients in Archival ZTF Public Alerts


[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

On-Device Training Under 256KB Memory

Tiny Machine Learning: Progress and Futures [Feature]


Command line C++ and Python VSTi Host library with MFCC, FFT, RMS and audio extraction and .wav writing.

Universal audio synthesizer control with normalizing flows

Flow Synthesizer: Universal Audio Synthesizer Control with Normalizing Flows

The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction


TPMCalculator quantifies mRNA abundance directly from the alignments by parsing BAM files

TPMCalculator: one-step software to quantify mRNA abundance of genomic features

A simple guide to de novo transcriptome assembly and annotation

PAM-altering SNP-based allele-specific CRISPR-Cas9 therapeutic strategies for Huntington’s disease

Molecular therapy. Methods & clinical development


A Model for Natural Language Attack on Text Classification and Inference

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Contextualized Perturbation for Textual Adversarial Attack

Towards a Robust Deep Neural Network in Texts: A Survey

Token-Aware Virtual Adversarial Training in Natural Language Understanding

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling

Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations

Authorship Obfuscation in Multilingual Machine-Generated Text Detection


MARMOT - the open source framework for feature extraction and machine learning, designed to estimate the quality of Machine Translation output

Findings of the 2015 Workshop on Statistical Machine Translation

Alibaba Submission for WMT18 Quality Estimation Task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

MARMOT: A Toolkit for Translation Quality Estimation at the Word Level

Contextual Encoding for Translation Quality Estimation

Joint ASR and MT Features for Quality Estimation in Spoken Language Translation

International Workshop on Spoken Language Translation

Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features.


BWK awk modified for biological data

Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species

Highly contiguous assemblies of 101 drosophilid genomes

Small-RNA-mediated transgenerational silencing of histone genes impairs fertility in piRNA mutants

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Germline inherited small RNAs facilitate the clearance of untranslated maternal mRNAs in C. elegans embryos

Northern Spotted Owl (Strix occidentalis caurina) Genome: Divergence with the Barred Owl (Strix varia) and Characterization of Light-Associated Genes

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

Complete mitochondrial genome sequences of the northern spotted owl (Strix occidentalis caurina) and the barred owl (Strix varia; Aves: Strigiformes: Strigidae) confirm the presence of a duplicated control region


BRIE: Bayesian Regression for Isoform Estimate in Single Cells

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

BRIE: transcriptome-wide splicing quantification in single cells

BRIE2: computational identification of splicing phenotypes from single-cell transcriptomic experiments

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


LaneNet implementation in PyTorch

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Towards End-to-End Lane Detection: an Instance Segmentation Approach

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving


Repo for Chinese Medical ChatGLM 基于中文医学知识的ChatGLM指令微调

Instruction Tuning for Large Language Models: A Survey

CMB: A Comprehensive Medical Benchmark in Chinese

Evaluating Large Language Models for Radiology Natural Language Processing

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

A Survey of Large Language Models in Medicine: Principles, Applications,
  and Challenges

MedChatZH: a Better Medical Adviser Learns from Better Instructions


Bioinformatics data analysis and visualization toolkit

High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip

When explainable AI meets IoT applications for supervised learning

The use of novel electronic nose technology to locate missing persons for criminal investigations

Immunoregulatory properties of erythroid nucleated cells induced from CD34+ progenitors from bone marrow

Zenodo (CERN European Organization for Nuclear Research)

Murine Bone Marrow Erythroid Cells Have Two Branches of Differentiation Defined by the Presence of CD45 and a Different Immune Transcriptome Than Fetal Liver Erythroid Cells

International journal of molecular sciences


neural question generation for reading comprehension

Learning to Ask: Neural Question Generation for Reading Comprehension

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Self-Attention Architectures for Answer-Agnostic Neural Question Generation

Meeting of the Association for Computational Linguistics

On the Importance of Diversity in Question Generation for QA

Improving Question Generation With to the Point Context

A Semantic Role-based Approach to Open-Domain Automatic Question Generation

Workshop on Innovative Use of NLP for Building Educational Applications

Automatic question generation based on sentence structure analysis using machine learning approach

What BERT Sees: Cross-Modal Transfer for Visual Question Generation

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations.

Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies


GLIDE: a diffusion-based text-conditional image synthesis model

GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models

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

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

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

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Transformer models: an introduction and catalog

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

Mutual Information Divergence: A Unified Metric for Multimodal
  Generative Models

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and
  Text-to-Image Models


PyTorch implementation of Glow

Glow: Generative Flow with Invertible 1x1 Convolutions

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Latent Space Smoothing for Individually Fair Representations

Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark

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

Diffeomorphic Counterfactuals with Generative Models

NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging
  Inverse Problems

Positive Difference Distribution for Image Outlier Detection using
  Normalizing Flows and Contrastive Data

AmbientFlow: Invertible generative models from incomplete, noisy
  measurements


Dataset of GPT-2 outputs for research in detection, biases, and more

The Curious Case of Neural Text Degeneration

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Assessing Social and Intersectional Biases in Contextualized Word Representations

Can AI-Generated Text be Reliably Detected?

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

Automatic Detection of Machine Generated Text: A Critical Survey

Authorship Attribution for Neural Text Generation

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

Trojaning Language Models for Fun and Profit

The Science of Detecting LLM-Generated Texts

CoCon: A Self-Supervised Approach for Controlled Text Generation


Bayesian Additive Regression Trees For Python

A Survey on Causal Inference

GraphITE: Estimating Individual Effects of Graph-structured Treatments

Machine learning applied to asteroid dynamics

Celestial mechanics & dynamical astronomy/Celestial mechanics and dynamical astronomy

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression
  Trees

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential
  Model-based Optimization


Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Masked Diffusion as Self-supervised Representation Learner


Interactive hydrodynamic solver for pipe and channel networks


Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Text Recognition in the Wild: A Survey

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

Rethinking Irregular Scene Text Recognition

OmniPrint: A Configurable Printed Character Synthesizer

An Empirical Study of Scaling Law for OCR


Out of time: automated lip sync in the wild

A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild

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

CN-Celeb: multi-genre speaker recognition

Neural Dubber: Dubbing for Videos According to Scripts

Emotionally Enhanced Talking Face Generation

Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors

Proceedings of the 30th ACM International Conference on Multimedia


Using two stream architecture to implement a classic action recognition method on UCF101 dataset

TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition

Deep hierarchical pooling design for cross-granularity action recognition


genetic variant expressions, annotation, and filtering for great good.

Effective variant filtering and expected candidate variant yield in studies of rare human disease

Germline loss-of-function PAM variants are enriched in subjects with pituitary hypersecretion

medRxiv : the preprint server for health sciences

Whole exome sequencing study identifies candidate loss of function variants and locus heterogeneity in familial cholesteatoma


Using optical flow & machine learning to predict PV yield


PixelNeRF Official Repository

pixelNeRF: Neural Radiance Fields from One or Few Images

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Diffusion with Forward Models: Solving Stochastic Inverse Problems
  Without Direct Supervision

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view
  Images

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis


Ultrafast de novo assembly for long noisy reads (though having no consensus step)

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Nanopore DNA Sequencing and Genome Assembly on the International Space Station

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

FMLRC: Hybrid long read error correction using an FM-index

Carolina Digital Repository (University of North Carolina at Chapel Hill)

HASLR: Fast Hybrid Assembly of Long Reads

MinION rapid sequencing: Review of potential applications in neurosurgery

RETRACTED ARTICLE: Selective inheritance of target genes from only one parent of sexually reproduced F1 progeny in Arabidopsis

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates


OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.


Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

SLANG.D: Fast, Modular and Differentiable Shader Programming

Sparse 3D Reconstruction via Object-Centric Ray Sampling


Multi Task Vision and Language

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

12-in-1: Multi-Task Vision and Language Representation Learning

Probing Contextual Language Models for Common Ground with Visual Representations

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection


SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A Simple Framework for Contrastive Learning of Visual Representations

Big Self-Supervised Models Advance Medical Image Classification

Improving robustness against common corruptions by covariate shift adaptation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Differentially Private Learning Needs Better Features (or Much More Data)

Intriguing Properties of Contrastive Losses

Image Augmentations for GAN Training

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning


NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Nerfstudio: A Modular Framework for Neural Radiance Field Development

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

LENS: Localization enhanced by NeRF synthesis

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation

Towards Learning Neural Representations from Shadows

CLNeRF: Continual Learning Meets NeRF

Erasing the Ephemeral: Joint Camera Refinement and Transient Object
  Removal for Street View Synthesis


Code release for NeuS

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Sparse 3D Reconstruction via Object-Centric Ray Sampling


Hifiasm: a haplotype-resolved assembler for accurate Hifi reads

Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm

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

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

Chromosome-scale genome assembly of the transformation-amenable common wheat cultivar 'Fielder'

DNA research : an international journal for rapid publication of reports on genes and genomes

Computational methods for chromosome-scale haplotype reconstruction

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

Robust haplotype-resolved assembly of diploid individuals without parental data

Revealing evolution of tropane alkaloid biosynthesis by analyzing two genomes in the Solanaceae family

Complete sequence of a 641-kb insertion of mitochondrial DNA in the Arabidopsis thaliana nuclear genome

The genomic and bulked segregant analysis of Curcuma alismatifolia revealed its diverse bract pigmentation


VMamba: Visual State Space Models，code is based on mamba

VMamba: Visual State Space Model

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

LocalMamba: Visual State Space Model with Windowed Selective Scan


GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and
  Consistent State Estimation

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance
  Estimation and Robust RAIM in Urban Canyon Environment

High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration

Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

A Field Calibration Solution to Achieve High-Grade-Level Performance for Low-Cost Dual-Frequency GNSS Receiver and Antennas

An Improved QZSS Satellite Clock Offsets Prediction Based on the Extreme Learning Machine Method

The Impact of Different Ocean Tide Loading Models on GNSS Estimated Zenith Tropospheric Delay Using Precise Point Positioning Technique

A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications

TransNav: International Journal on Marine Navigation and Safety of Sea Transportation


An optimization-based multi-sensor state estimator

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

XTDrone: A Customizable Multi-Rotor UAVs Simulation Platform

Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops

Learning whole-image descriptors for real-time loop detection and kidnap recovery under large viewpoint difference

GRADE: Generating Realistic Animated Dynamic Environments for Robotics
  Research

Formula Derivation and Analysis of the VINS-Mono


Visual Studio Code

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

An Empirical Study on Using Multi-Labels for Issues in GitHub

Duplicate Bug Report Detection: How Far Are We?

AutoPRTitle: A Tool for Automatic Pull Request Title Generation

DevReplay: Automatic Repair with Editable Fix Pattern

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report
  Detection

The quasi-adiabatic relaxation of haloes in the IllustrisTNG and EAGLE cosmological simulations

Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization

Hidden inheritance: an inline caching design for TypeScript performance

Proceedings of the ACM on programming languages

Continuous and Secure Integration Framework for Smart Contracts


Creative Commons Attribution 4.0 International

The Confidential Consortium Blockchain Framework is an open-source system that enables high-scale, confidential blockchain networks that meet all key enterprise requirements—providing a means to accelerate production enterprise adoption of blockchain technology.

Formal Specification and Verification of Smart Contracts for Azure
  Blockchain

S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX

Hybridchain: A Novel Architecture for Confidentiality-Preserving and Performant Permissioned Blockchain Using Trusted Execution Environment

A Review on Recent Progress of Smart Contract in Blockchain

An Accountable Decryption System Based on Privacy-Preserving Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Truxen: A Trusted Computing Enhanced Blockchain


Mapping astronomical survey data on the sky, handsomely

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Dark Energy Survey Year 1 results: curved-sky weak lensing mass map

Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE

Monthly Notices of the Royal Astronomical Society

On the relative bias of void tracers in the Dark Energy Survey

Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV

Dark Energy Survey Year 1 Results: Wide-field mass maps via forward fitting in harmonic space

The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space

Monthly notices of the Royal Astronomical Society

Detection and removal of B-mode dust foregrounds with signatures of statistical anisotropy

KaRMMa 2.0 -- Kappa Reconstruction for Mass Mapping


A reading list for deep graph learning acceleration.

AliGraph: A Comprehensive Graph Neural Network Platform

HyGCN: A GCN Accelerator with Hybrid Architecture

PaGraph: Scaling GNN training on large graphs via computation-aware caching

Hardware Acceleration of Graph Neural Networks

PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks

International Symposium on High-Performance Computer Architecture

GE-SpMM: General-Purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

DGCL: an efficient communication library for distributed GNN training

PROCEEDINGS OF THE SIXTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS '21)

TinyGNN: Learning Efficient Graph Neural Networks

Understanding and bridging the gaps in current GNN performance optimizations

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Accelerating Graph Sampling for Graph Machine Learning using GPUs


Workshop teaching QMMM using Amber

Combined Quantum Mechanics/Molecular Mechanics (QM/MM) Methods in Computational Enzymology

A practical guide to modelling enzyme-catalysed reactions

Analysis of chorismate mutase catalysis by QM/MM modelling of enzyme-catalysed and uncatalysed reactions


This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

Radiomics to predict the mortality of patients with rheumatoid arthritis-associated interstitial lung disease: A proof-of-concept study


Conference and Journal Paper Implementations

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot


stackr: an R package to run stacks software pipeline

Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation

Salmonid chromosome evolution as revealed by a novel method for comparing RADseq linkage maps

Supplementation stocking of Lake Trout (Salvelinus namaycush) in small boreal lakes: Ecotypes influence on growth and condition

Conservation genetics of the eastern yellow-bellied racer (Coluber constrictor flaviventris) and bullsnake (Pituophis catenifer sayi): River valleys are critical features for snakes at northern range limits

Associative Overdominance and Negative Epistasis Shape Genome-Wide Ancestry Landscape in Supplemented Fish Populations


R package for spatial analysis and modelling of ecological systems

Siberian taiga and tundra fire regimes from 2001–2020

Satellite Tracking Reveals Nesting Patterns, Site Fidelity, and Potential Impacts of Warming on Major Green Turtle Rookeries in the Red Sea

Geographic patterns of genomic diversity and structure in the C4 grass Panicum hallii across its natural distribution

An Orchid in Retrograde: Climate-Driven Range Shift Patterns of Ophrys helenae in Greece

Identification of the Optimal Season and Spectral Regions for Shrub Cover Estimation in Grasslands

Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine Learning

Distribution of Charophyte Oospores in the Curonian Lagoon and their Relationship to Environmental Forcing

Behavioral responses of Canada geese to winter harassment in the context of human‐wildlife conflicts

Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston

Megafaunal extinctions, not climate change, may explain Holocene genetic diversity declines in Numenius shorebirds


Co^2L: Contrastive Continual Learning

Learning Representations for New Sound Classes With Continual Self-Supervised Learning


A parallel python Milne Eddington synthesis framework

Signatures of ubiquitous magnetic reconnection in the lower solar atmosphere

Spicules and downflows in the solar chromosphere

Heating of the solar chromosphere through current dissipation

Active region chromospheric magnetic fields

High-resolution observations of the solar photosphere, chromosphere, and transition region

Signatures of ubiquitous magnetic reconnection in the deep atmosphere of sunspot penumbrae

Properties of shock waves in the quiet-Sun chromosphere

The Chromosphere Underneath a Coronal Bright Point

Properties of ubiquitous magnetic reconnection events in the lower solar atmosphere


Neural information retrieval: at the end of the early years

Bernoulli Rank-1 Bandits for Click Feedback

A Graph-Enhanced Click Model for Web Search

An Adversarial Imitation Click Model for Information Retrieval

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank

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

De-Biased Modelling of Search Click Behavior with Reinforcement Learning

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Online Learning to Rank with List-level Feedback for Image Filtering

Validating Synthetic Usage Data in Living Lab Environments

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search


Local Burden of Disease

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Mapping child growth failure across low- and middle-income countries

Mapping diphtheria-pertussis-tetanus vaccine coverage in Africa, 2000–2016: a spatial and temporal modelling study

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17

The Lancet. Global health/The lancet. Global health

The overlapping burden of the three leading causes of disability and death in sub-Saharan African children


FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy

FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer
  Learning

Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark


Useful bioinformatic scripts

Transcriptional landscape of highly lignified poplar stems at single-cell resolution

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

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

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


Codes to generate limb-darkening coefficients using arbitrary response functions as explained in Espinoza & Jordan (2015)

Limb darkening and exoplanets: testing stellar model atmospheres and identifying biases in transit parameters

Limb darkening and exoplanets – II. Choosing the best law for optimal retrieval of transit parameters

Planetary system LHS 1140 revisited with ESPRESSO and TESS

Near-ultraviolet Transmission Spectroscopy of HD 209458b: Evidence of Ionized Iron Beyond the Planetary Roche Lobe

An Independent Analysis of the Spitzer/IRAC Phase Curves of WASP43 b

Empirical Limb-darkening Coefficients and Transit Parameters of Known Exoplanets from TESS

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

A detailed analysis of the Gl 486 planetary system

Exploiting the transit timing capabilities of Ariel

TOI-199 b: A Well-characterized 100 day Transiting Warm Giant Planet with TTVs Seen from Antarctica


The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification

Memory Efficient Meta-Learning with Large Images

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image
  Classification


Curved-sky python lensed CMB maps simulation package

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

Journal of Cosmology and Astroparticle Physics

Forecasts on CMB lensing observations with AliCPT-1

中国科学. 物理学 力学 天文学

Efficient ILC analysis on polarization maps after EB leakage correction

Improved cosmic microwave background (de-)lensing using general spherical harmonic transforms

Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data

A New Probe of Gaussianity and Isotropy applied to the CMB Maps

The reconstructed CMB lensing bispectrum


⛏ HLA predictions from NGS shotgun data

HLA predictions from the bronchoalveolar lavage fluid and blood samples of eight COVID-19 patients at the pandemic onset

Computational cancer neoantigen prediction: current status and recent advances

HLA alleles measured from COVID-19 patient transcriptomes reveal associations with disease prognosis in a New York cohort


Khmer  language processing toolkit

Khmer Word Segmentation Using Conditional Random Fields

Multilingual Open Text Release 1: Public Domain News in 44 Languages

ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System


2-pt correlation function estimation

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Studying large-scale structure probes of modified gravity with COLA

Constraining νΛCDM with density-split clustering

The DESI One-Percent survey: exploring the Halo Occupation Distribution of Emission Line Galaxies with AbacusSummit simulations

First detection of the BAO signal from early DESI data

Precise Cosmological Constraints from BOSS Galaxy Clustering with a
  Simulation-Based Emulator of the Wavelet Scattering Transform

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction

Cosmological constraints from density-split clustering in the BOSS CMASS
  galaxy sample

The void-galaxy cross-correlation function with massive neutrinos and modified gravity

The DESI One-Percent Survey: Exploring A Generalized SHAM for Multiple Tracers with the UNIT Simulation


A uniform interface to astronomical selection functions of the major surveys.

Completeness of the Gaia verse II: what are the odds that a star is missing from Gaia DR2?

A Gaia Early DR3 Mock Stellar Catalog: Galactic Prior and Selection Function

Publications of the Astronomical Society of the Pacific

Completeness of the Gaia-verse V: Astrometry and Radial Velocity sample selection functions in Gaia EDR3

seestar: Selection functions for spectroscopic surveys of the Milky Way

Constraints on the Galactic Centre environment from Gaia hyper-velocity stars

Comparing hypervelocity star populations from the Large Magellanic Cloud and the Milky Way

Constraints on the Galactic Centre environment from Gaia hypervelocity stars II: The evolved population


"Independent Component Analysis of BIg Omics Data"

Transcriptional Programs Define Intratumoral Heterogeneity of Ewing Sarcoma at Single-Cell Resolution

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

International journal of molecular sciences

Determining the optimal number of independent components for reproducible transcriptomic data analysis

Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution

Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes

Neural signatures of data-driven psychopathology dimensions at the transition to adolescence

European psychiatry : the journal of the Association of European Psychiatrists

Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis


SpuCo is a Python package developed to further research to address spurious correlations.

Towards Mitigating Spurious Correlations in the Wild: A Benchmark and a
  more Realistic Dataset

Invariant Learning via Probability of Sufficient and Necessary Causes


Sepsis cohort from MIMIC dataset

Medical Dead-ends and Learning to Identify High-risk States and Treatments

Leveraging Factored Action Spaces for Efficient Offline Reinforcement
  Learning in Healthcare

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications


Stochastic Gradient Push for Distributed Deep Learning

Deep Residual Learning for Image Recognition

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Asynchronous Decentralized Parallel Stochastic Gradient Descent


Quantitative Information Flow library for python and C++.

Flexible and scalable privacy assessment for very large datasets, with
  an application to official governmental microdata

Information Leakage Games: Exploring Information as a Utility Function

A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow


[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

KPConv: Flexible and Deformable Convolution for Point Clouds

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

The second data release from the European Pulsar Timing Array

HAL (Le Centre pour la Communication Scientifique Directe)

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

Assessing tension metrics with dark energy survey and Planck data

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

Cosmological implications of the full shape of anisotropic clustering measurements in BOSS and eBOSS

Non-Gaussian estimates of tensions in cosmological parameters

Comparing recent PTA results on the nanohertz stochastic gravitational wave background

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

Hyper Suprime-Cam Year 3 results: Cosmology from galaxy clustering and weak lensing with HSC and SDSS using the emulator based halo model


Vision and Language Agent Navigation

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Environment-agnostic Multitask Learning for Natural Language Grounded Navigation

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

VALAN: Vision and Language Agent Navigation


Gradient based Hyperparameter Tuning library in PyTorch

Online Learning Rate Adaptation with Hypergradient Descent

AutoML to Date and Beyond: Challenges and Opportunities

MARTHE: Scheduling the Learning Rate Via Online Hypergradients

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly

Scheduling the Learning Rate Via Hypergradients: New Insights and a New Algorithm

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


Tools for Cosmic Web Imager Data

Dissecting the Local Environment of FRB 190608 in the Spiral Arm of its Host Galaxy

The FLASHES Survey. I. Integral Field Spectroscopy of the CGM around 48 z ≃ 2.3–3.1 QSOs


An open-source semi-automated processing chain for urban OBIA classification.

An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification

Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images

A local segmentation parameter optimization approach for mapping heterogeneous urban environments using VHR imagery

Remote Sensing Technologies and Applications in Urban Environments II


This is a collection of convenient methods for data science competition.

Unsupervised Data Augmentation for Consistency Training

Searching for A Robust Neural Architecture in Four GPU Hours

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators


An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Evaluation of deep learning‐based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset

Journal of medical imaging and radiation oncology

Differences between human and machine perception in medical diagnosis

Meta-repository of screening mammography classifiers

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


Automatic extraction of edited sentences from text edition histories.

Grammatical Error Correction: A Survey of the State of the Art

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing

Probing for targeted syntactic knowledge through grammatical error detection


Safety Verification of Deep Neural Networks

Algorithms for Verifying Deep Neural Networks

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning


Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (CVPR 2019)

Improving Optical Flow on a Pyramid Level

Disentangling Architecture and Training for Optical Flow

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation

The Five Elements of Flow.

The Devil in the Details: Simple and Effective Optical Flow Synthetic
  Data Generation


A Nextflow workflow to generate lift over files for any pair of genomes

Minimap2: pairwise alignment for nucleotide sequences

Adaptive seeds tame genomic sequence comparison.

GSAlign: an efficient sequence alignment tool for intra-species genomes

nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over


Repository for StripedHyena, a state-of-the-art beyond Transformer architecture

Hyena Hierarchy: Towards Larger Convolutional Language Models

Large Language Models: A Survey

Laughing Hyena Distillery: Extracting Compact Recurrences From
  Convolutions

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor
  Cores


Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?

A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP

When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism


OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.


[NeurIPS 2022] WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

ExpeL: LLM Agents Are Experiential Learners

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

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Lumos: Learning Agents with Unified Data, Modular Design, and
  Open-Source LLMs


A command-line toolkit to extract text content and category data from Wikipedia dump files

Learning to Distinguish Hypernyms and Co-Hyponyms

International Conference on Computational Linguistics

A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations

Meeting of the Association for Computational Linguistics

Analyzing Semantic Change in Japanese Loanwords

Conference of the European Chapter of the Association for Computational Linguistics

Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?

UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

North American Chapter of the Association for Computational Linguistics

Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs

Conference on Computational Natural Language Learning

Evaluating Sub-word Embeddings in Cross-lingual Models

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


Adversarial Threat Landscape for AI Systems

Sponge Examples: Energy-Latency Attacks on Neural Networks

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Mental Models of Adversarial Machine Learning

Holistic Adversarial Robustness of Deep Learning Models

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

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks.

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


[ECCV 2022] Official implementation of the paper: Audio-Visual Segmentation

Audio-Visual Segmentation

Audio-Visual Segmentation with Semantics

Referred by Multi-Modality: A Unified Temporal Transformer for Video
  Object Segmentation

A Closer Look at Audio-Visual Segmentation


NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling

FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric

Platform Independent Software Analysis for Near Memory Computing

Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering


Implementation of different summarization algorithms applied to legal case judgements.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Extractive Summarization using Deep Learning

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection


Decoding platform for machine translation research

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem

Best-First Beam Search

Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT

Domain Adaptive Inference for Neural Machine Translation

SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies

A Comparison of Neural Models for Word Ordering

On the Depth between Beam Search and Exhaustive Search for Text
  Generation


A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition

Transformer-Based End-to-End Speech Recognition with Local Dense Synthesizer Attention

International Conference on Acoustics, Speech, and Signal Processing

VCSE: Time-Domain Visual-Contextual Speaker Extraction Network


Predictive Soil Mapping with R (book)


TensorNet (TensorFlow implementation)

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Tensorizing Neural Networks

Ultimate tensorization: compressing convolutional and FC layers alike


Effect size calculations for microbiome data.

Tiny microbes, enormous impacts: what matters in gut microbiome studies?

Greengenes2 enables a shared data universe for microbiome studies

Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases


Play deep learning with CIFAR datasets

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

Towards Training Reproducible Deep Learning Models

Proceedings of the 44th International Conference on Software Engineering

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

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

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Compression strategies and space-conscious representations for deep neural networks

Detecting Deep Neural Network Defects with Data Flow Analysis

Compact representations of convolutional neural networks via weight
  pruning and quantization


Collection of NLP model explanations and accompanying analysis tools

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools


Climate Data Store Toolbox for MATLAB


icSHAPE pipeline

Structural imprints in vivo decode RNA regulatory mechanisms

Structural disruption of exonic stem–loops immediately upstream of the intron regulates mammalian splicing

RNAnue: efficient data analysis for RNA–RNA interactomics

The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets


Experiments on Multilingual NMT

Attention Is All You Need

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods


Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

LION: Latent Point Diffusion Models for 3D Shape Generation

Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations


A Causal-Consistent Reversible Debugger for Erlang

A Theory of Reversibility for Erlang

The Journal of logical and algebraic methods in programming/Journal of logical and algebraic methods in programming

Reversing an imperative concurrent programming language

revTPL: The Reversible Temporal Process Language

A Lightweight Approach to Computing Message Races with an Application to
  Causal-Consistent Reversible Debugging

A Program Instrumentation for Prefix-Based Tracing in Message-Passing
  Concurrency

Computing Race Variants in Message-Passing Concurrent Programming with Selective Receives


Deep Recommenders

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Real-time Personalization using Embeddings for Search Ranking at Airbnb

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

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation

International Conference on Information and Knowledge Management


Wind retrievals for the WindCube lidar


:mouse: :left_right_arrow: :couple:   An r package that works as a wrapper to homologene

Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data

Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex

Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes

Short-term exposure to intermittent hypoxia leads to changes in gene expression seen in chronic pulmonary disease

Risk‐Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries

Comparison of Gene Expression Responses in the Small Intestine of Mice Following Exposure to 3 Carcinogens Using the S1500+ Gene Set Informs a Potential Common Adverse Outcome Pathway

The Development of Mechanical Allodynia in Diabetic Rats Revealed by Single-Cell RNA-Seq


Python library for fast time-series analysis on CUDA GPUs

An 8.8 Minute Orbital Period Eclipsing Detached Double White Dwarf Binary

Discovery and characterization of five new eclipsing AM CVn systems

Monthly notices of the Royal Astronomical Society

Exploring the dependence of hot Jupiter occurrence rates on stellar mass with TESS

The ZTF Source Classification Project. I. Methods and Infrastructure

The ZTF Source Classification Project - II. Periodicity and variability processing metrics

Monthly Notices of the Royal Astronomical Society

Magnetic braking saturates: evidence from the orbital period distribution of low-mass detached eclipsing binaries from ZTF

GPU-accelerated periodic source identification in large-scale surveys: measuring P and P

A Systematic Search for Short-period Close White Dwarf Binary Candidates Based on Gaia EDR3 Catalog and Zwicky Transient Facility Data

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

CoRoT-TESS eclipsing binaries with light-travel-time effect


A compressed, associative, exact, and weighted dictionary for k-mers.

Sparse and skew hashing of K-mers

On weighted k-mer dictionaries

Succinct k-mer Sets Using Subset Rank Queries on the Spectral Burrows-Wheeler Transform *


The Framework for Aquatic Biogeochemical Models (FABM): a Fortran 2003 programming framework for biogeochemical models of marine and freshwater systems.

Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system

Model-based data analysis of the effect of winter mixing on primary production in a lake under reoligotrophication

Boreal Headwater Catchment as Hot Spot of Carbon Processing From Headwater to Fjord

Journal of geophysical research. Biogeosciences

Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)

FABM-NflexPD 1.0: Assessing an Instantaneous Acclimation
Approach for Modelling Phytoplankton Growth


machine learning package

Crowdsourced mapping of unexplored target space of kinase inhibitors

Architecturally robust tubular nano-clay grafted Li0.9Ni0.5Co0.5O2-x/LiFeO2 nanocomposites: New implications for electrochemical hydrogen storage

Fast Kronecker product kernel methods via generalized vec trick

Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis

Algebraic Shortcuts for Leave-One-Out Cross-Validation in Supervised Network Inference

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method

Generalized vec trick for fast learning of pairwise kernel models


Automatic Assembly For The Fungi

The pan-genome of Aspergillus fumigatus provides a high-resolution view of its population structure revealing high levels of lineage-specific diversity driven by recombination

A heterogeneously expressed gene family modulates biofilm architecture and hypoxic growth of Aspergillus fumigatus

Description and Genome Characterization of Three Novel Fungal Strains Isolated from Mars 2020 Mission-Associated Spacecraft Assembly Facility Surfaces—Recommendations for Two New Genera and One Species


High Availability Shared Pipeline Engine

The Breakthrough Listen Search for Intelligent Life: A Wideband Data Recorder System for the Robert C. Byrd Green Bank Telescope

Publications of the Astronomical Society of the Pacific

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

The Breakthrough Listen search for intelligent life: Wide-bandwidth digital instrumentation for the CSIRO Parkes 64-m telescope

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

Spectrometers and Polyphase Filterbanks in Radio Astronomy

The design and implementation of a ROACH2+GPU based correlator on the Tianlai dish array


V2X simulator

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

A Methodology for Abstracting the Physical Layer of Direct V2X Communications Technologies

Analysis of Co-Channel Coexistence Mitigation Methods Applied to IEEE 802.11p and 5G NR-V2X Sidelink

Performance analysis of IEEE 802.11p preamble insertion in C-V2X sidelink signals for co-channel coexistence

Adaptive Repetition Strategies in IEEE 802.11bd V2X Networks


Detection of pseudogene candidates in bacterial and archaeal genomes.

Anaerobic endosymbiont generates energy for ciliate host by denitrification

Transitional genomes and nutritional role reversals identified for dual symbionts of adelgids (Aphidoidea: Adelgidae)

Genomic Features of Salmonella enterica Subspecies houtenae Serotype 45:g,z51:- Isolated from Multiple Abdominal Abscesses of an African Fat-Tailed Gecko, United States, 2020

Phylogenetic Relatedness and Genome Structure of Yersinia ruckeri Revealed by Whole Genome Sequencing and a Comparative Analysis


redlistr: Tools for the IUCN Red List of Ecosystems and Species


Automatic ICD coding benchmark based on the MIMIC dataset

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding

A Unified Review of Deep Learning for Automated Medical Coding


Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

A context-aware citation recommendation model with BERT and graph convolutional networks

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts

Meeting of the Association for Computational Linguistics

Back to the Future -- Sequential Alignment of Text Representations

Towards Explainable Fact Checking


ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Less is more: sampling chemical space with active learning

ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

ML4Chem: A Machine Learning Package for Chemistry and Materials Science


Automated Unittest Generation for Python

Symposium on Search Based Software Engineering

Pynguin: Automated Unit Test Generation for Python

Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

An empirical study of automated unit test generation for Python


A dotplot generator for large chromosomes

Ultra-fast genome comparison for large-scale genomic experiments

Robertsonian Fusion and Centromere Repositioning Contributed to the Formation of Satellite-free Centromeres During the Evolution of Zebras

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata


Force Fields

Preliminary Structure–Activity Relationship Study of the MMV Pathogen Box Compound MMV675968 (2,4-Diaminoquinazoline) Unveils Novel Inhibitors of Trypanosoma brucei brucei

Molecular dynamics simulations of the flexibility and inhibition of SARS-CoV-2 NSP 13 helicase

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

Slipknot or Crystallographic Error: A Computational Analysis of the Plasmodium falciparum DHFR Structural Folds

International journal of molecular sciences

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields


A TensorFlow implementation of the Differentiable Neural Computer.

Deep Reinforcement Learning: An Overview

L4: Practical loss-based stepsize adaptation for deep learning

Self-Attentive Associative Memory

Implementing Neural Turing Machines

Training Neural Networks for and by Interpolation

Learning to Remember More with Less Memorization

Text normalization using memory augmented neural networks

Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning

Multigrid Neural Memory

Comparison Between SMILES-Based Differential Neural Computer and Recurrent Neural Network Architectures for De Novo Molecule Design


Learn interpretable computational phenotyping models from k-merized genomic data

Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

Interpretable genotype-to-phenotype classifiers with performance guarantees

Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences

Large scale modeling of antimicrobial resistance with interpretable classifiers.


R data package for annotating/converting Gene IDs

Transcriptional signature in microglia associated with Aβ plaque phagocytosis

Genetic Subgroups Inform on Pathobiology in Adult and Pediatric Burkitt Lymphoma


RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

Exploration by Random Network Distillation

Self-Supervised Exploration via Disagreement

Never Give Up: Learning Directed Exploration Strategies

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments


C# client for General Bikeshare Feed Specification (GBFS)


TSEBRA: Transcript Selector for BRAKER

TSEBRA: transcript selector for BRAKER

Galba: genome annotation with miniprot and AUGUSTUS

bioRxiv : the preprint server for biology

Y-Linked Copy Number Polymorphism of Target of Rapamycin Is Associated with Sexual Size Dimorphism in Seed Beetles


Surrogate Optimization Toolbox for Python

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization.

Escaping local minima with local derivative-free methods: a numerical investigation

Meta-matching: a simple framework to translate phenotypic predictive models from big to small data

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems

Structural and multidisciplinary optimization

Rocketsled: a software library for optimizing high-throughput computational searches

Fast 4D cone-beam CT from 60 s acquisitions

Physics and imaging in radiation oncology

On the implementation of a global optimization method for mixed-variable problems

Efficient Multi-Objective Optimization through Population-based Parallel
  Surrogate Search


Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization

Object-aware Contrastive Learning for Debiased Scene Representation

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

Normalization Matters in Weakly Supervised Object Localization

Evolving Image Compositions for Feature Representation Learning

Open-World Weakly-Supervised Object Localization

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale
  Weakly Supervised Applications


Soft Actor-Critic

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

Addressing Function Approximation Error in Actor-Critic Methods

Latent Space Policies for Hierarchical Reinforcement Learning

Establishing Appropriate Trust via Critical States

Regularization Matters in Policy Optimization

Policy Optimization as Wasserstein Gradient Flows

Dynamics-aware Embeddings

VIREL: A Variational Inference Framework for Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

A Max-Min Entropy Framework for Reinforcement Learning


PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data

Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques


Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

Modeling Relational Data with Graph Convolutional Networks

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Commonsense Knowledge in Word Associations and ConceptNet


Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

Graph-based Semi-supervised Learning: A Comprehensive Review

MILE: A Multi-Level Framework for Scalable Graph Embedding

Hierarchical message-passing graph neural networks

Exponential Family Graph Embeddings

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods


A land use land cover disaggregation and change detection model


sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

Machine learning of accurate energy-conserving molecular force fields

Towards exact molecular dynamics simulations with machine-learned force fields

sGDML: Constructing accurate and data efficient molecular force fields using machine learning

Towards Linearly Scaling and Chemically Accurate Global Machine Learning
  Force Fields for Large Molecules


All image quality metrics you need in one package.

Misusing Tools in Large Language Models With Visual Adversarial Examples

Markup-to-Image Diffusion Models with Scheduled Sampling

Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition

Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

On the Efficacy of Metrics to Describe Adversarial Attacks


The implementation of text classification using character level convoultion neural networks using Keras

Character-level Convolutional Networks for Text Classification

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Character-Aware Neural Language Models

Robustness to Programmable String Transformations via Augmented Abstract Training

Clustering High-dimensional Data via Feature Selection


Tools and libraries for processing Planet SkySat imagery, including camera model refinement, stereo reconstruction, and orthomosaic production

An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery

ISPRS journal of photogrammetry and remote sensing

The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data

Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery

NeoGeographyToolkit/StereoPipeline 2.7.0


轩辕：度小满中文金融对话大模型

Measuring Massive Multitask Language Understanding

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters

Self-QA: Unsupervised Knowledge Guided Language Model Alignment

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

CGCE: A Chinese Generative Chat Evaluation Benchmark for General and
  Financial Domains

Datasets for Large Language Models: A Comprehensive Survey


software package for integrative genetic association analysis

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Bayesian Multi-SNP Genetic Association Analysis: Control of FDR and Use of Summary Statistics

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

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

MARS: leveraging allelic heterogeneity to increase power of association testing


Flip-flop basecaller for Oxford Nanopore reads

Recent advances in the detection of base modifications using the Nanopore sequencer

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

Nanopore Sequencing of a Forensic STR Multiplex Reveals Loci Suitable for Single-Contributor STR Profiling

On Coding for an Abstracted Nanopore Channel for DNA Storage

High Diversity of Type I Polyketide Genes in Bacidia rubella as Revealed by the Comparative Analysis of 23 Lichen Genomes

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations


Combining climdex.pcic and climpact @ UNSW

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

Journal of geophysical research. Atmospheres

A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices

International Conference on Data Technologies and Applications

Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Spatial Variation and Trend of Extreme Precipitation in West Africa and Teleconnections with Remote Indices

Future Heat Waves in Different European Capitals Based on Climate Change Indicators

International journal of environmental research and public health

Refining the Spatial Scale for Maize Crop Agro-Climatological Suitability Conditions in a Region with Complex Topography towards a Smart and Sustainable Agriculture. Case Study: Central Romania (Cluj County)

Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

Comparing climate change indices between a northern (arid) and a southern (humid) basin in Mexico during the last decades

Overcoming Data Scarcity in Earth Science

Historical and Future Extreme Temperature Indices of Greater Cairo Region, Egypt

Bulletin de la Société de Géographie d'Egypte


Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

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

International journal of computer vision

Multimodal Residual Learning for Visual QA

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

A Focused Dynamic Attention Model for Visual Question Answering

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset.

DualNet: Domain-Invariant Network for Visual Question Answering

Active Learning for Visual Question Answering: An Empirical Study

Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering

Visual Question Answering as a Multi-Task Problem


Large Language Models Are Human-Level Prompt Engineers

Context-faithful Prompting for Large Language Models

AutoHint: Automatic Prompt Optimization with Hint Generation

MoCa: Measuring Human-Language Model Alignment on Causal and Moral
  Judgment Tasks

Prompt Optimization via Adversarial In-Context Learning


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

Improving Chinese Word Segmentation with Wordhood Memory Networks

ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Span Labeling Approach for Vietnamese and Chinese Word Segmentation


mixup: Beyond Empirical Risk Minimization

Learning from Noisy Labels with Deep Neural Networks: A Survey

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients

GenLabel: Mixup Relabeling using Generative Models

Semantic Perturbations with Normalizing Flows for Improved Generalization

Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions

Robustness to Label Noise Depends on the Shape of the Noise Distribution
  in Feature Space

Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features


[ICCV 2021] Instances as Queries

Instances as Queries

Temporally Efficient Vision Transformer for Video Instance Segmentation

Tracking Instances as Queries


scripts for estimating bacteria replication rates based on population genome copy number variation

Measurement of bacterial replication rates in microbial communities

Identical bacterial populations colonize premature infant gut, skin, and oral microbiomes and exhibit different in situ growth rates

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Hospitalized Premature Infants Are Colonized by Related Bacterial Strains with Distinct Proteomic Profiles

The Water Microbiome Through a Pilot Scale Advanced Treatment Facility for Direct Potable Reuse

In Situ Replication Rates for Uncultivated Bacteria in Microbial Communities

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


Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

Attention Is All You Need

Code Prediction by Feeding Trees to Transformers

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

Don’t take “nswvtnvakgxpm” for an answer –The surprising vulnerability of automatic content scoring systems to adversarial input

International Conference on Computational Linguistics

Incremental Text-to-Speech Synthesis Using Pseudo Lookahead With Large Pretrained Language Model

Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to
  Fine-Tune and Hard to Detect with other LLMs

Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network


A set of pipelines and routines for echelle spectrographs

CERES: A Set of Automated Routines for Echelle Spectra

Publications of the Astronomical Society of the Pacific

An ultrahot Neptune in the Neptune desert

Discovery of a brown dwarf companion to the star HIP 64892

Evidence that the Hot Jupiter WASP-77 A b Formed Beyond Its Parent Protoplanetary Disk's H2O Ice Line

Convective blueshift strengths of 810 F to M solar-type stars

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

Searching for new solar twins: The Inti survey for the Northern Sky

Monthly Notices of the Royal Astronomical Society

CAFE2: an upgrade to the CAFE high-resolution spectrograph. Commissioning results and new public pipeline

Monthly notices of the Royal Astronomical Society

HiFLEx—A Highly Flexible Package to Reduce Cross-dispersed Echelle Spectra

Analysis of high-resolution FEROS spectroscopy for a sample of variable B-type stars assembled from TESS photometry,


[NeurIPS'21] Projected GANs Converge Faster

Projected GANs Converge Faster

The Role of ImageNet Classes in Fréchet Inception Distance

Towards the Detection of Diffusion Model Deepfakes

The ArtBench Dataset: Benchmarking Generative Models with Artworks

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

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems


Tools for accessing and maintaining the iTEM model & historical databases


⚡ Open-source software for deep learning-based digital pathology

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images


DoubleML - Double Machine Learning in R

Double/Debiased Machine Learning for Treatment and Causal Parameters

DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

Distributed Double Machine Learning with a Serverless Architecture

International Conference on Performance Engineering


An R package that makes xgboost models fully interpretable

Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering

La predicción del fracaso empresarial de las cooperativas españolas. Aplicación del Algoritmo Extreme Gradient Boosting

CIRIEC-España, revista de economía pública, social y cooperativa

SAFE ML: Surrogate Assisted Feature Extraction for Model Learning

An exact counterfactual-example-based approach to tree-ensemble models interpretability


How to Build User Simulators to Train RL-based Dialog Systems

User Simulation for Evaluating Information Access Systems

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial
  Task-Oriented Dialog Systems


Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open
  Resources

Instruction Tuning for Large Language Models: A Survey

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Chinese Open Instruction Generalist: A Preliminary Release

A Survey of Reasoning with Foundation Models

LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian
  Language


Medical Q&A with Deep Language Models

Attention Is All You Need

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

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

The Limitations of Stylometry for Detecting Machine-Generated Fake News

Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access


Lung medical image analysis and visualisation software for Matlab.

CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network

Spectral graph theory efficiently characterizes ventilation heterogeneity in lung airway networks

Tapering Analysis of Airways with Bronchiectasis

Quantitative Analysis of Radiation-Associated Parenchymal Lung Change

A Fissure-Aided Registration Approach for Automatic Pulmonary Lobe Segmentation Using Deep Learning

In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease


[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

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

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

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews

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


An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

Cross-Modal Discrete Representation Learning

Exposing the Limits of Video-Text Models through Contrast Sets

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

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of
  Video-Language Models

TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter


OpenAccess papers mined for Climate Change


Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

On human motion prediction using recurrent neural networks

Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

IEEE transactions on pattern analysis and machine intelligence

Deep Learning for Vision-based Prediction: A Survey

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention


Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.

BOP Challenge 2020 on 6D Object Localization

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects


Neural network visualization toolkit for tf.keras

Accurate staging of chick embryonic tissues via deep learning

Gastrointestinal Disease Classification through Explainable and
  Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning


Destruction and Construction Learning for Fine-grained Image Recognition

Destruction and Construction Learning for Fine-Grained Image Recognition

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

A Multimodal Late Fusion Model for E-Commerce Product Classification


A toolkit for tracking energy, carbon, and compute metrics for machine learning (or any other) experiments.

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Unraveling the Hidden Environmental Impacts of AI Solutions for
  Environment

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

The Ecological Footprint of Neural Machine Translation Systems

Understanding the Energy Consumption of HPC Scale Artificial Intelligence


PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database

Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding


A state-of-the-art semi-supervised method for image recognition

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

Label Propagation for Deep Semi-supervised Learning

SELF: Learning to Filter Noisy Labels with Self-Ensembling

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

A Survey of Deep Learning for Scientific Discovery

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical
  Image Segmentation

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Semi-Supervised Learning with Scarce Annotations

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models


Trash Annotations in Context Dataset Toolkit

TACO: Trash Annotations in Context for Litter Detection

Methodology for Translation of Video Content Activates into Text Description: Three Object Activities Action

International journal of image, graphics and signal processing


SOLECTRUS is an innovative photovoltaic dashboard that not only visualizes the energy yield and consumption of a PV system but also calculates the costs and savings.


The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Whole genome sequencing in clinical and public health microbiology

A Brief Review of Software Tools for Pangenomics

基因组蛋白质组与生物信息学报

Epidemic Dynamics of Vibrio parahaemolyticus Illness in a Hotspot of Disease Emergence, Galicia, Spain

Melioidosis in a Resident of Texas with No Recent Travel History, United States

Burkholderia thailandensis Isolated from Infected Wound, Arkansas, USA

In silico Identification of Serovar-Specific Genes for Salmonella Serotyping

Burkholderia species in human infections in Mexico: Identification of B. cepacia, B. contaminans, B. multivorans, B. vietnamiensis,B. pseudomallei and a new Burkholderia species

Subclinical Burkholderia pseudomallei Infection Associated with Travel to the British Virgin Islands


Python library for processing Chinese text

Exploiting Investors Social Network for Stock Prediction in China's Market

Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media

Multi-Source Pointer Network for Product Title Summarization

Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

Towards a Universal Sentiment Classifier in Multiple languages

Empirical Methods in Natural Language Processing

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Disaster medicine and public health preparedness

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs


Implementation of Graph Auto-Encoders in TensorFlow

Modeling Relational Data with Graph Convolutional Networks

Variational Graph Auto-Encoders

Deep Learning on Graphs: A Survey

Graph Self-Supervised Learning: A Survey

Graph embedding on biomedical networks: methods, applications and evaluations

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

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

Graph-based Semi-supervised Learning: A Comprehensive Review

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks


R Package for Scraping and Aggregating NFL Data

nflWAR: a reproducible method for offensive player evaluation in football

A Reinforcement Learning Based Approach to Play Calling in Football

Big ideas in sports analytics and statistical tools for their investigation

Empirical Prediction of Turnovers in NFL Football

Simulation-based decision making in the NFL using NFLSimulatoR


A biplot based on ggplot2

Distinctive Patterns of Transcription and RNA Processing for Human lincRNAs

Gut microbial composition in patients with psoriasis

Bisphenol A causes reproductive toxicity, decreases dnmt1 transcription, and reduces global DNA methylation in breeding zebrafish (Danio rerio)

Brain composition in Heliconius butterflies, posteclosion growth and experience‐dependent neuropil plasticity

Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer’s model mice

Phenotypic plasticity and genetic control in colorectal cancer evolution

Brain Composition in Godyris zavaleta, a Diurnal Butterfly, Reflects an Increased Reliance on Olfactory Information

Phenomic and Physiological Analysis of Salinity Effects on Lettuce

Revealing the Variation and Stability of Bacterial Communities in Tomato Rhizosphere Microbiota

Diet, gonadal sex, and sex chromosome complement influence white adipose tissue miRNA expression


Quick mining and visualization of NGS data by integrating genomic databases

Stem cell function and stress response are controlled by protein synthesis

Histone H3 globular domain acetylation identifies a new class of enhancers

Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future

MYC Recruits SPT5 to RNA Polymerase II to Promote Processive Transcription Elongation

Paf1C regulates RNA polymerase II progression by modulating elongation rate

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

Elevated NSD3 histone methylation activity drives squamous cell lung cancer

Endogenous retroviruses drive species-specific germline transcriptomes in mammals

Hominin-specific regulatory elements selectively emerged in oligodendrocytes and are disrupted in autism patients

Reprogramming of H3K9bhb at regulatory elements is a key feature of fasting in the small intestine

Two faces of bivalent domain regulate VEGFA responsiveness and angiogenesis


Tag your nature photos with iNat taxonomy and observation metadata


Protocol specification, white paper, high level documents, etc.

Demystifying COVID-19 digital contact tracing: A survey on frameworks
  and mobile apps

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems

COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey

A Survey on Contact Tracing: The Latest Advancements and Challenges

Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols

Contact Tracing Made Un-relay-able

Listening to Bluetooth Beacons for Epidemic Risk Mitigation


Toolkit for processing sequences in FASTA/Q formats

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

A rapid and robust method for single cell chromatin accessibility profiling

Reconstructing lineage hierarchies of the distal lung epithelium using single cell RNA-seq

SARS-CoV-2 evolution during treatment of chronic infection

Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

Genome flux and stasis in a five millennium transect of European prehistory

Resistance to Sharka in Apricot: Comparison of Phase-Reconstructed Resistant and Susceptible Haplotypes of ‘Lito’ Chromosome 1 and Analysis of Candidate Genes

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

bioRxiv : the preprint server for biology

Target Capture and Massively Parallel Sequencing of Ultraconserved Elements for Comparative Studies at Shallow Evolutionary Time Scales


A powerful toolset for genome arithmetic.

Recurrent somatic mutations in POLR2A define a distinct subset of meningiomas

APOBEC3A cytidine deaminase induces RNA editing in monocytes and macrophages

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Androgen-Binding Protein (Abp) Evolutionary History: Has Positive Selection Caused Fixation of Different Paralogs in Different Taxa of the Genus Mus?

MeCP2-Induced Alternations of Transcript Levels and m6A Methylation in Human Retinal Pigment Epithelium Cells

Manipulation of TAD reorganization by chemical-dependent genome linking


A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

Instant neural graphics primitives with a multiresolution hash encoding

TensoRF: Tensorial Radiance Fields

Zero-Shot Text-Guided Object Generation with Dream Fields

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction

Compressible-composable NeRF via Rank-residual Decomposition

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields

WIRE: Wavelet Implicit Neural Representations

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models


Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Deep Sclera Segmentation and Recognition

Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo

Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera

Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks

Adding Cues to Binary Feature Descriptors for Visual Place Recognition


Environmental modeling software


Convolutional Neural Network for 3D meshes in PyTorch

MeshCNN: A Network with an Edge

BRepNet: A topological message passing system for solid models

UV-Net: Learning from Boundary Representations

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms

Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps


Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Rethinking Range View Representation for LiDAR Segmentation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Dynamically pruning segformer for efficient semantic segmentation

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Single-View Measurement Method for Egg Size Based on Small-Batch Images


Retinaface get 80.99% in widerface hard val using mobilenet0.25.

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

General Facial Representation Learning in a Visual-Linguistic Manner

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection

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

INTERN: A New Learning Paradigm Towards General Vision

Zero-shot Generation of Coherent Storybook from Plain Text Story using
  Diffusion Models

Face with Mask Detection in Thermal Images Using Deep Neural Networks


LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Learning to Simulate Complex Physics with Graph Networks

Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural
  Networks

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics


Wavelet Phase Harmonics in PyTorch for Images

Single frequency CMB B-mode inference with realistic foregrounds from a single training image

Monthly notices of the Royal Astronomical Society. Letters

Generative Models of Multichannel Data from a Single Example—Application to Dust Emission


This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking neural networks.

Fast and energy-efficient neuromorphic deep learning with first-spike times

Event-based backpropagation can compute exact gradients for spiking neural networks

The Yin-Yang dataset

Learning efficient backprojections across cortical hierarchies in real
  time


A python code to calculate the conversion probability between photons and axions / axionlike particles

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Journal of Cosmology and Astroparticle Physics

gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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

Search for the imprint of axion-like particles in the highest-energy photons of hard γ-ray blazars

Relevance of jet magnetic field structure for blazar axionlike particle searches

Searching for Axion-Like Particles from Core-Collapse Supernovae with Fermi LAT's Low Energy Technique

Axion-Like Particle Searches with IACTs

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

Constraints on axionlike particles from a combined analysis of three
  flaring Fermi flat-spectrum radio quasars

CTA sensitivity for probing cosmology and fundamental physics with gamma rays


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

Exact Computation of Influence Spread by Binary Decision Diagrams

Efficient Network Reliability Computation in Uncertain Graphs

Finding well-optimized special quasirandom structures with decision diagram


Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

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

A Survey on Human-aware Robot Navigation


Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

ADAGE analysis of publicly available gene expression data collections illuminates Pseudomonas aeruginosa-host interactions

Computationally Efficient Assembly of Pseudomonas aeruginosa Gene Expression Compendia

SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

基因组蛋白质组与生物信息学报