Multi-Zone Galactic Chemical Evolution Codes.  Extension of NuPyCEE

Validating Semi-analytic Models of High-redshift Galaxy Formation Using Radiation Hydrodynamical Simulations

Metallicity-dependent nucleosynthetic yields of Type Ia supernovae originating from double detonations of sub-MCh white dwarfs

Stochastic Chemical Evolution of Radioactive Isotopes with a Monte Carlo Approach

A New Model for Electron-capture Supernovae in Galactic Chemical Evolution

Galactic Chemical Evolution of Radioactive Isotopes with an s-process Contribution

Enrichment of the Galactic disc with neutron-capture elements: Mo and Ru

Monthly notices of the Royal Astronomical Society

Chemical evolution of fluorine in the Milky Way

Observational constraints on the origin of the elements – VI. Origin and evolution of neutron-capture elements as probed by the Gaia-ESO survey

Monthly Notices of the Royal Astronomical Society

Chromium Nucleosynthesis and Silicon–Carbon Shell Mergers in Massive Stars


Scalable MCTS for team scenarios

Scalable Planning and Learning for Multiagent POMDPs

Scalable Anytime Planning for Multi-Agent MDPs

Scalable Online Planning for Multi-Agent MDPs

Journal of Artificial Intelligence Research


The FlexFringe tool for flexible learning of state machines (deterministic automata) from traces. See the paper at https://arxiv.org/abs/2203.16331

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

Learning Task Automata for Reinforcement Learning using Hidden Markov Models

Timed Partial Order Inference Algorithm

Learning state machines via efficient hashing of future traces


Spectral energy distribution construction and analysis tools

Retrieval of the d/sdL7+T7.5p Binary SDSS J1416+1348AB

A Reanalysis of the Fundamental Parameters and Age of TRAPPIST-1

The First Retrieval of a Substellar Subdwarf: A Cloud-free SDSS J125637.13–022452.4

A Comparative L-dwarf Sample Exploring the Interplay between Atmospheric Assumptions and Data Properties

Individual dynamical masses of DENIS J063001.4−184014AB reveal a likely young brown dwarf triple

Methane emission from a cool brown dwarf


SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

Recognizing Families In the Wild (RFIW): The 4th Edition

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

IEEE transactions on pattern analysis and machine intelligence

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

Automatic Face Understanding: Recognizing Families in Photos


A Python library for spectral modelling and RADEX

The distribution and origin of C2H in NGC 253 from ALCHEMI

PROPERTIES OF THE MOLECULAR CORES OF LOW LUMINOSITY OBJECTS

The First Spatially-resolved Detection of ^13CN in a Protoplanetary
  Disk and Evidence for Complex Carbon Isotope Fractionation


Python code for stellar spectral analysis

Atmospheric stellar parameters for large surveys using FASMA, a new spectral synthesis package

Search for lithium-rich giants in 32 open clusters with high-resolution spectroscopy

FASMA 2.0: A Python package for stellar parameters and chemical abundances

Zenodo (CERN European Organization for Nuclear Research)

TOI-837b is a Young Saturn-sized Exoplanet with a Massive 70
  M_⊕ Core


This repository contains several applications, demonstrating the Meltdown bug.

Meltdown

SpectreRewind: Leaking Secrets to Past Instructions

SoK: Hardware Defenses Against Speculative Execution Attacks

Management of Hardware Vulnerabilities in the Life Cycle Stages of Microprocessors and Computers

Attack detection based on machine learning algorithms for different variants of Spectre attacks and different Meltdown attack implementations


The Global Environmental Multiscale (GEM) model is a numerical weather prediction model developed by the Meteorological Research Division of Environment and Climate Change Canada.


Pleiotropy-informed conditional and conjunctional false discovery rate

Polygenic overlap and shared genetic loci between loneliness, severe mental disorders, and cardiovascular disease risk factors suggest shared molecular mechanisms

The genetic architecture of the human thalamus and its overlap with ten common brain disorders

Characterizing the Genetic Overlap Between Psychiatric Disorders and Sleep-Related Phenotypes

Identification of novel genomic risk loci shared between common epilepsies and psychiatric disorders

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Genetic Overlap Between Alzheimer's Disease and Depression Mapped Onto the Brain

Evidence for the gut‐skin axis: Common genetic structures in inflammatory bowel disease and psoriasis

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system

The genetic architecture of human amygdala volumes and their overlap with common brain disorders

Genetic Overlap Between Global Cortical Brain Structure, C-Reactive Protein, and White Blood Cell Counts


Ceto is an NGS analysis system put together in a collaboration between the Bartom computational Lab, the Shilatifard lab, and other scientists at Northwestern University.  Scroll down to the bottom of the page for more detail.

Aging is associated with a systemic length-associated transcriptome imbalance

ASXL3 bridges BRD4 to BAP1 complex and governs enhancer activity in small cell lung cancer

Kaposi’s Sarcoma-Associated Herpesvirus Drives a Super-Enhancer-Mediated Survival Gene Expression Program in Primary Effusion Lymphoma

C16orf72/HAPSTR1 is a molecular rheostat in an integrated network of stress response pathways

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

DNA methylation and gene expression signatures are associated with ataxia-telangiectasia phenotype

Placental dysfunction influences fetal monocyte subpopulation gene expression in preterm birth

The HAPSTR2 retrogene buffers stress signaling and resilience in mammals

Vaccination with mycobacterial lipid loaded nanoparticle leads to lipid antigen persistence and memory differentiation of antigen-specific T cells

bioRxiv : the preprint server for biology

Intrauterine Growth Restriction Followed by Oxygen Support Uniquely Interferes with Genetic Regulators of Myelination


Reviewer-paper matching for ACL

Simple and Effective Paraphrastic Similarity from Parallel Translations

Matching Papers and Reviewers at Large Conferences

A Gold Standard Dataset for the Reviewer Assignment Problem

Counterfactual Evaluation of Peer-Review Assignment Policies

What Can Natural Language Processing Do for Peer Review?


Geothermal Cloud for Machine Learning

Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering

GeoThermalCloud: Machine Learning for Geothermal Resource Exploration

SmartTensors: Unsupervised and physics-informed machine learning framework for the geoscience applications

Second International Meeting for Applied Geoscience & Energy


Time Dependent Open Quantum Systems Solver written by Matthew Otten (mjotten@wisc.edu)

Recovering noise-free quantum observables

Accounting for Errors in Quantum Algorithms via Individual Error Reduction

Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes

Benchmarking near-term quantum computers via random circuit sampling

PsiQuaSP–A library for efficient computation of symmetric open quantum systems

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs

PROCEEDINGS OF SECOND INTERNATIONAL WORKSHOP ON QUANTUM COMPUTING SOFTWARE (QCS 2021)

Quantum Machine Learning using Gaussian Processes with Performant Quantum Kernels

Importance of Diagonal Gates in Tensor Network Simulations

Optical detection and storage of entanglement in plasmonically coupled quantum-dot qubits

Impacts of noise and structure on quantum information encoded in a quantum memory


Russian GPT3 models.

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Fine-tuning GPT-3 for Russian Text Summarization

Methods for Detoxification of Texts for the Russian Language

Russian Paraphrasers: Paraphrase with Transformers

Workshop on Balto-Slavic Natural Language Processing

It’s Basically the Same Language Anyway: the Case for a Nordic Language Model

Nordic Conference of Computational Linguistics

TAPE: Assessing Few-shot Russian Language Understanding

Argumentative Text Generation in Economic Domain

Computational Linguistics and Intellectual Technologies

MOROCCO: Model Resource Comparison Framework

The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia

HAL (Le Centre pour la Communication Scientifique Directe)


A set of tools for processing of spatial and temporal disaggregations.


Python implementation of the SM2RAIN algorithm

Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data

Journal of Geophysical Research: Atmospheres

SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies

SM2RAIN-ASCAT (2007-June 2020): global daily satellite rainfall from ASCAT soil moisture


Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

Overcoming set imbalance in data driven parameterization: A case study
  of gravity wave momentum transport


Joint deep network for feature line detection and description

SOLD2: Self-supervised Occlusion-aware Line Description and Detection

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Multi-scale Attributed Node Embedding

Evaluating Node Embeddings of Complex Networks


A python library for correlating EBSD and HRDIC data

Quantifying cracking and strain localisation in a cold spray chromium coating on a zirconium alloy substrate under tensile loading at room temperature


Scripting analyses of genomes in Ensembl Plants

Scripting Analyses of Genomes in Ensembl Plants

K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes

Efficient masking of plant genomes by combining kmer counting and curated repeats


Pipeline to generate NGS reads from a phylogeny

NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats

Evaluation of SNP calling methods for closely related bacterial isolates and a novel high-accuracy pipeline: BactSNP

TreeToReads - a pipeline for simulating raw reads from phylogenies


IBM Environmental Intelligence Geospatial APIs SDK

Learning and Recognizing Archeological Features from LiDAR Data

Map Generation from Large Scale Incomplete and Inaccurate Data Labels

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling

ISPRS International Journal of Geo-Information


Program for generating load curves for residential consumers. Agentbased and extremly detailed.

LoadProfileGenerator: An Agent-Based Behavior Simulation for Generating Residential Load Profiles

The role of hydrogen in German residential buildings


PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes

Universal Hydrodynamic Mechanisms for Crystallization in Active Colloidal Suspensions

Generalized Stokes laws for active colloids and their applications

Competing chemical and hydrodynamic interactions in autophoretic colloidal suspensions

Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces

Periodic Orbits of Active Particles Induced by Hydrodynamic Monopoles


biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

The Spectral Species Concept in Living Color


MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations

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

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations

A Preliminary Study on Realizing Human–Robot Mental Comforting Dialogue via Sharing Experience Emotionally

An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition

Whose emotion matters? Speaking activity localisation without prior knowledge


Constrained Local Search for Last-Mile Routing

Learning from Drivers to Tackle the Amazon Last Mile Routing Research Challenge


3D Occupancy Prediction Benchmark in Autonomous Driving

Scene as Occupancy

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations

A Survey on Occupancy Perception for Autonomous Driving: The Information
  Fusion Perspective

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion


The author's officially unofficial PyTorch BigGAN implementation.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Training Generative Adversarial Networks with Limited Data

Differentiable Augmentation for Data-Efficient GAN Training

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

A U-Net Based Discriminator for Generative Adversarial Networks

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

Image Synthesis with a Single (Robust) Classifier

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Adversarial Generation of Continuous Images

A Good Image Generator Is What You Need for High-Resolution Video Synthesis


Evaluate variant calls and its combination with k-mer multiplicity

An improved ovine reference genome assembly to facilitate in-depth functional annotation of the sheep genome

A Reference Genome Assembly of American Bison, Bison bison bison

Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks


official implementation for the paper "Simplifying Graph Convolutional Networks"

Deep Learning on Graphs: A Survey

A Survey on Text Classification: From Shallow to Deep Learning

Graph-based Semi-supervised Learning: A Comprehensive Review

Scalable Graph Neural Networks via Bidirectional Propagation

Normalized Online Learning

Multiplex Heterogeneous Graph Convolutional Network

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

Node Dependent Local Smoothing for Scalable Graph Learning

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

Approximate Graph Propagation


Lima - Demultiplex Barcoded PacBio Samples

Occurrence and Characterization of mcr-1-Positive Escherichia coli Isolated From Food-Producing Animals in Poland, 2011–2016

A Reference Genome Sequence for Giant Sequoia

Microbial Community Dynamics and Natural Fermentation Profiles of Ensiled Alpine Grass Elymus nutans Prepared From Different Regions of the Qinghai-Tibetan Plateau

Fermented Soybean Meal Replacement in the Diet of Lactating Holstein Dairy Cows: Modulated Rumen Fermentation and Ruminal Microflora

Rhizosphere-Associated Microbiomes of Rice (Oryza sativa L.) Under the Effect of Increased Nitrogen Fertilization

Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

PacBio long-read amplicon sequencing enables scalable high-resolution population allele typing of the complex CYP2D6 locus

Genome annotation with long RNA reads reveals new patterns of gene expression and improves single-cell analyses in an ant brain

Effects of different additives on the bacterial community and fermentation mode of whole-plant paper mulberry silage

The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs


A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.

Off the Beaten Path: Gaia Reveals GD-1 Stars outside of the Main Stream

GALExtin: an alternative online tool to determine the interstellar extinction in the Milky Way

Monthly Notices of the Royal Astronomical Society

Evidence for a Highly Opaque Large-scale Galaxy Void at the End of Reionization

Minute-cadence Observations of the LAMOST Fields with the TMTS: I. Methodology of Detecting Short-period Variables and Results from the first-year Survey

R-band light-curve properties of Type Ia supernovae from the (intermediate) Palomar Transient Factory

First Assessment of the Binary Lens OGLE-2015-BLG-0232

A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey

Minute-cadence observations of the LAMOST fields with the TMTS: II. Catalogues of short-period variable stars from the first 2-yr surveys


LASSO for GWAS with summary statistics

Improved genetic prediction of complex traits from individual-level data or summary statistics

Genetics, leadership position, and well-being: An investigation with a large-scale GWAS

Statistical models and computational tools for predicting complex traits and diseases

Polygenic risk scores: effect estimation and model optimization

A Smoothed Version of the Lassosum Penalty for Fitting Integrated Risk Models Using Summary Statistics or Individual-Level Data

Topic modeling identifies novel genetic loci associated with multimorbidities in UK Biobank


Variational quantum Gibbs state preparation with a truncated Taylor series

TensorCircuit: a Quantum Software Framework for the NISQ Era

Variational Quantum Singular Value Decomposition

Variational quantum algorithms for trace distance and fidelity estimation

VSQL: Variational Shadow Quantum Learning for Classification

Practical distributed quantum information processing with LOCCNet

Quantum Self-Attention Neural Networks for Text Classification

Quantum Artificial Intelligence for the Science of Climate Change

Concentration of Data Encoding in Parameterized Quantum Circuits

Q^2Chemistry: A quantum computation platform for quantum chemistry


R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan


Named Entity Recognition

Neural Architectures for Named Entity Recognition

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

Discovering Dialogue Slots with Weak Supervision

Meeting of the Association for Computational Linguistics

Distant Supervision for Sentiment Attitude Extraction

Recent Advances in Natural Language Processing


Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study

Household transmission of COVID-19 cases associated with SARS-CoV-2 delta variant (B.1.617.2): national case-control study

Tracking SARS-CoV-2 mutations and variants through the COG-UK-Mutation Explorer

Effectiveness of ChAdOx1-S COVID-19 booster vaccination against the Omicron and Delta variants in England

CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay

A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing

Real-time monitoring and analysis of SARS-CoV-2 nanopore sequencing with minoTour


Java toolkit to create and convert W3C PROV data model representations, and build provenance-enabled applications in a variety of programming languages (java, python, typescript, javascript)

PAV ontology: provenance, authoring and versioning

Towards structured sharing of raw and derived neuroimaging data across existing resources

QProv: A provenance system for quantum computing

High-throughput Ingest of Provenance Records into Accumulo

Thoughtflow: Standards and Tools for Provenance Capture and Workflow Definition to Support Model‐Informed Drug Discovery and Development

CPT: pharmacometrics & systems pharmacology


circular RNA analysis toolset

A comprehensive overview and evaluation of circular RNA detection tools

Circular DNA tumor viruses make circular RNAs

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Advances in circular RNAs and their role in glioma (Review)

Genome-Wide Annotation of circRNAs and Their Alternative Back-Splicing/Splicing with CIRCexplorer Pipeline

Methods in molecular biology (Clifton, N.J.)

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization


A transition-based parser for Universal Dependencies with BiLSTM word and character representations.

82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models

Parser Training with Heterogeneous Treebanks

Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle

International Workshop/Conference on Parsing Technologies

Cross-Lingual Domain Adaptation for Dependency Parsing

Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch


MCMC parameter sampling code

Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Observatory

Is there really a Hubble tension?

Tensions between direct measurements of the lens power spectrum from Planck data

Quantifying concordance of correlated cosmological data sets

H_0 Reconstruction with Type Ia Supernovae, Baryon Acoustic Oscillation and Gravitational Lensing Time-Delay

Lensing covariance on cut sky and SPT-Planck lensing tensions

Concerns about the reliability of publicly available SNe Ia data

Current small-scale CMB constraints to axionlike early dark energy

Lens covariance effects on likelihood analyses of CMB power spectra

Phantom fluid cosmology: Impact of a phantom hidden sector on cosmological observables


Flexible tool for bias detection, visualization, and mitigation

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Fairness Measures for Regression via Probabilistic Classification

fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation


Tools and code for ICESat-2 data analysis

PhotonLabeler: An Inter-Disciplinary Platform for Visual Interpretation and Labeling of ICESat-2 Geolocated Photon Data

GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments

PhoREAL: increasing spatial and temporal data accessibly of ICESat-2 through open-source Python repository

Laser Radar Technology and Applications XXVIII


Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


THE Deep Learning Benchmarks

Deep Residual Learning for Image Recognition

Rethinking the Inception Architecture for Computer Vision

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Theano: A Python framework for fast computation of mathematical expressions

Exploring the Limits of Language Modeling

Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization


United States General Election Presidential Results by County from 2008 to 2016

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

Association of Social and Economic Inequality With Coronavirus Disease 2019 Incidence and Mortality Across US Counties

City Limits: What Do Local-Area Minimum Wages Do?

The evolution of the association between community level social capital and COVID-19 deaths and hospitalizations in the United States

Measuring the Importance of User-Generated Content to Search Engines

The impact of online misinformation on U.S. COVID-19 vaccinations

Social Disadvantage, Politics, and SARS-CoV-2 Trends: A County-Level Analysis of United States Data

Tweeted Anger Predicts County-Level Results of the 2016 United States Presidential Election

International review of social psychology

Life expectancy and voting patterns in the 2020 U.S. presidential election

Fear and deprivation in Trump's America: A regional analysis of voting behavior in the 2016 and 2020 U.S. Presidential Elections


Themis™ is a software fairness tester.

A comparative study of fairness-enhancing interventions in machine learning

Fairness Testing: Testing Software for Discrimination

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

LDB: A Large Language Model Debugger via Verifying Runtime Execution
  Step-by-step

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows

AI Agents That Matter

Future of ADHD Care: Evaluating the Efficacy of ChatGPT in Therapy Enhancement

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy

Beyond Natural Language: LLMs Leveraging Alternative Formats for
  Enhanced Reasoning and Communication

Agent Planning with World Knowledge Model


Tool for the detection and quantification of alternative splicing events from RNA-Seq data.

SplAdder: identification, quantification and testing of alternative splicing events from RNA-Seq data

An important class of intron retention events in human erythroblasts is regulated by cryptic exons proposed to function as splicing decoys

Implications of Antigen Selection on T Cell-Based Immunotherapy


Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

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

Neural Speech Synthesis with Transformer Network

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

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

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

Audio Deepfake Perceptions in College Going Populations


A coding-free framework built on PyTorch for reproducible deep learning studies. 25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far.  Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Deep Residual Learning for Image Recognition

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

Densely Connected Convolutional Networks

Distilling the Knowledge in a Neural Network

Wide Residual Networks

FitNets: Hints for Thin Deep Nets

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning

Relational Knowledge Distillation

Similarity-Preserving Knowledge Distillation


A power network simulator with a Reinforcement Learning-focused usage.

Learning to run a power network challenge for training topology controllers

Design and implementation of an environment for Learning to Run a Power Network (L2RPN)


Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Designing an Encoder for StyleGAN Image Manipulation

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Diffusion Models for Adversarial Purification

3D-FM GAN: Towards 3D-Controllable Face Manipulation

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Unsupervised learning reveals interpretable latent representations for translucency perception

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes

Transforming the Latent Space of Stylegan for Real Face Editing


A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering

A novel and fully automatic spike-sorting implementation with variable number of features

The role of forelimb motor cortex areas in goal directed action in mice

Representation of abstract semantic knowledge in populations of human single neurons in the medial temporal lobe

Application of spike sorting algorithm to neuronal signals originated from boron doped diamond micro-electrode arrays.


Adaptive Universal Generalized PageRank Graph Neural Network

Is Homophily a Necessity for Graph Neural Networks?

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

Revisiting Heterophily For Graph Neural Networks

Handling Distribution Shifts on Graphs: An Invariance Perspective

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

p-Laplacian Based Graph Neural Networks

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

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


Solvation model for the plane wave DFT code VASP.

High-Throughput Computational-Experimental Screening Protocol for the Discovery of Bimetallic Catalysts

Computational assessment of the efficacy of halides as shape-directing agents in nanoparticle growth

High-Performance of Electrocatalytic CO2 Reduction on Defective Graphene-Supported Cu4S2 Cluster


Real-Time 3D Semantic Reconstruction from 2D data

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM

FM-Fusion: Instance-Aware Semantic Mapping Boosted by Vision-Language Foundation Models


Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

Findings of the Association for Computational Linguistics: ACL 2022

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web

Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs

International Conference on Computational Linguistics


Speech waveform synthesis from MFCC sequences with generative adversarial networks

JVS corpus: free Japanese multi-speaker voice corpus

DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

Compiling REAPER (Robust Epoch And Pitch EstimatoR)

On the Utility of Self-supervised Models for Prosody-related Tasks

JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research

Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi

PPG-based singing voice conversion with adversarial representation learning

Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks

Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results


Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models

Free3D: Consistent Novel View Synthesis without 3D Representation

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis


Laia: A deep learning toolkit for HTR based on Torch

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition

Character-based handwritten text transcription with attention networks

Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes

Measuring Human Perception to Improve Handwritten Document Transcription

DTrOCR: Decoder-only Transformer for Optical Character Recognition

A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images

CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset


The entmax mapping and its loss, a family of sparse softmax alternatives.

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Adaptively Sparse Transformers

Sparse Sequence-to-Sequence Models

Inducing Target-Specific Latent Structures for Aspect Sentiment Classification

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

Learning with Fenchel-Young Losses

Sparse Text Generation

Smoothing and Shrinking the Sparse Seq2Seq Search Space

Beyond Characters: Subword-level Morpheme Segmentation

Special Interest Group on Computational Morphology and Phonology Workshop

Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT

DeepSPIN: Deep Structured Prediction for Natural Language Processing

European Association for Machine Translation Conferences/Workshops


SIMD partial order alignment tool/library

Fast and accurate de novo genome assembly from long uncorrected reads

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

HASLR: Fast Hybrid Assembly of Long Reads

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

MinION-Based DNA Barcoding of Preserved and Non-Invasively Collected Wildlife Samples

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

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

LJA: Assembling Long and Accurate Reads Using Multiplex de Bruijn Graphs


(MOVED) Athena++ GRMHD code and adaptive mesh refinement (AMR) framework. Active repository --->

The Athena++ Adaptive Mesh Refinement Framework: Design and Magnetohydrodynamic Solvers

The Astrophysical Journal Supplement Series

The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project

MHD Turbulence

Living Reviews in Computational Astrophysics

Technique for Separating Velocity and Density Contributions in Spectroscopic Data and Its Application to Studying Turbulence and Magnetic Fields

An entropy stable nodal discontinuous Galerkin method for the resistive MHD equations. Part II: Subcell finite volume shock capturing

Thermal instability and multiphase gas in the simulated interstellar medium with conduction, viscosity, and magnetic fields

Monthly Notices of the Royal Astronomical Society

Magnetohydrodynamics with GAMER

Constraint preserving discontinuous Galerkin method for ideal compressible MHD on 2-D Cartesian grids

Modeling the inner part of M87 jet: confronting jet morphology with theory


matlab and python wrap of crf and dense crf, both 2d and 3d are supported

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

Critic Guided Segmentation of Rewarding Objects in First-Person Views

EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction


Financial Sentiment Analysis with BERT

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

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Evaluation of Sentiment Analysis in Finance: From Lexicons to Transformers

Speech emotion recognition and text sentiment analysis for financial distress prediction

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls

North American Chapter of the Association for Computational Linguistics

Investigating Deep Stock Market Forecasting with Sentiment Analysis

A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting

Extracting fine-grained economic events from business news

FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts

Sensitivity Analysis on Transferred Neural Architectures of BERT and GPT-2 for Financial Sentiment Analysis


pytorch implementation of fast-neural-style

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models

Rethinking the Pruning Criteria for Convolutional Neural Network

Quantitative Evaluation of Style Transfer


A neural named entity recognition and multi-type normalization tool for biomedical text mining

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

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

Visual Analytics of Twitter and Social Media Dataflows: a Casestudy of COVID-19 Rumors


A multilingual parallel corpus created from translations of the Bible.

Survey of Low-Resource Machine Translation

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

ParsiNLU: A Suite of Language Understanding Challenges for Persian

Tools for The Production of Analogical Grids and a Resource of N-gram Analogical Grids in 11 Languages

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

Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting

Named Entity Annotation Projection Applied to Classical Languages

Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

The EDGeS Diachronic Bible Corpus

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

SignBank+: Multilingual Sign Language Translation Dataset


Deep neural models for core NLP tasks (Pytorch version)

Deep Biaffine Attention for Neural Dependency Parsing

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Stack-Pointer Networks for Dependency Parsing

Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

Hierarchical Pointer Net Parsing

Recent Advances in End-to-End Spoken Language Understanding

Statistical Language and Speech Processing

SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling

End-to-end named entity extraction from speech

Absolute convergence and error thresholds in non-active adaptive sampling

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

How to Use Gazetteers for Entity Recognition with Neural Models

International Joint Conference on Artificial Intelligence


Fast and compact minimal perfect hash functions in C++.

PTHash: Revisiting FCH Minimal Perfect Hashing

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

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

PHOBIC: Perfect Hashing with Optimized Bucket Sizes and Interleaved
  Coding


Multi-modality pre-training

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

Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

MaCSC: Towards Multimodal-augmented Pre-trained Language Models via Conceptual Prototypes and Self-balancing Calibration


Prevent oil and gas companies from co-opting your work and extracting more fossil fuels with this software license.


Instance-aware Semantic Segmentation via Multi-task Network Cascades

Convolutional Feature Masking for Joint Object and Stuff Segmentation

Pixelwise Instance Segmentation with a Dynamically Instantiated Network

Holistic, Instance-Level Human Parsing


Regularized kernel canonical correlation analysis in Python

A technical review of canonical correlation analysis for neuroscience applications

Structure and flexibility in cortical representations of odour space

Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging

Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis


Diffusion Models for Video Prediction and Infilling

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

Performance Evaluation of Action Recognition Models on Low Quality Videos

Similarity contrastive estimation for image and video soft contrastive self-supervised learning

Efficient Attention-free Video Shift Transformers


SPECTER: Document-level Representation Learning using Citation-informed Transformers

The Semantic Scholar Open Data Platform

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization

Heterogeneous Graph Neural Networks for Keyphrase Generation

DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries

ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls

A dataset of mentorship in science with semantic and demographic estimations

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens


Software Development Kit for the Oxford Robotcar Dataset

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

The Oxford Road Boundaries Dataset


KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

LLaMA: Open and Efficient Foundation Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

KoBBQ: Korean Bias Benchmark for Question Answering

CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in
  Korean

Optimizing Language Augmentation for Multilingual Large Language Models:
  A Case Study on Korean


[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

Generalized Decoding for Pixel, Image, and Language

A Simple Framework for Open-Vocabulary Segmentation and Detection

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Learning to Follow Object-Centric Image Editing Instructions Faithfully


Cold pool area and temperature data products for the eastern Bering Sea from NOAA/AFSC/RACE Groundfish Assessment Program's summer trawl surveys


Python package for analysing and visualising brain connectome data

A practical guide to linking brain-wide gene expression and neuroimaging data

Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia

Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control

Altered network stability in progressive supranuclear palsy

Application of Computational Biology to Decode Brain Transcriptomes

基因组蛋白质组与生物信息学报

Synaptic density affects clinical severity via network dysfunction in syndromes associated with frontotemporal lobar degeneration


Titin Circular RNAs Create a Back-Splice Motif Essential for SRSF10 Splicing

circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs


Creative Commons Attribution 4.0 International

The Software Overlay TG will specify the requirements for the software overlay feature, both from the FW manager  engine and from toolchain aspects, all which will be based on the current RISC-V ISA and extensions.


Conduct simulation-based inference on strong gravitational lensing systems.

lenstronomy II: A gravitational lensing software ecosystem

From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

JWST lensed quasar dark matter survey I: Description and First Results

A Strong Gravitational Lens Is Worth a Thousand Dark Matter Halos:
  Inference on Small-Scale Structure Using Sequential Methods


A Julia wrapper of iminuit. iminuit is a Python interface to the C++ version of the function minimization and error analysis package MINUIT.

Coupled-Channel Interpretation of the LHCb Double-J/psi Spectrum and Hints of a New State Near the J/psi J/psi Threshold

Strange molecular partners of the Z(c)(3900) and Z(c)(4020)

Two-meson form factors in unitarized chiral perturbation theory

Can the two-pole structure of the
    D_0^*(2300)
 be understood from recent lattice data?


Eclipsing Binary Modeling Software

ELISa: A new tool for fast modelling of eclipsing binaries

Automatic classification of eclipsing binary stars using deep learning methods

V680 Mon - a young mercury-manganese star in an eclipsing heartbeat system

Light curve modelling of close eclipsing binaries

Contributions of the Astronomical Observatory Skalnaté Pleso

PHOTOMETRIC ANALYSIS OF ECLIPSING BINARIES: VY UMI, RU UMI AND GSC 04364-00648


Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM

Impact of years of blindness on neural circuits underlying auditory spatial representation

Stronger responses in the visual cortex of sighted compared to blind individuals during auditory space representation

Neural correlates of proprioceptive upper limb position matching

Visual representations of time elicit early responses in human temporal cortex

Temporal cues trick the visual and auditory cortices mimicking spatial cues in blind individuals

Years of Blindness Lead to “Visualize” Space Through Time

Peripheral sounds elicit stronger activity in contralateral occipital cortex in blind than sighted individuals

Role of sensorimotor areas in early detection of motor errors: An EEG and TMS study


The VECMA toolkit for creating surrogate models of multiscale systems.

The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables

Deep active subspaces - a scalable method for high-dimensional uncertainty propagation

Resampling with neural networks for stochastic parameterization in multiscale systems

Uncertainty quantification patterns for multiscale models

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

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit


A new version of CLASS that can deal with axion-like particles. Co-developped with Tristan L. Smith, Tanvi Karwal + some initial commits by Charlotte Owen.

The H_0 Olympics: A fair ranking of proposed models

Resolving the Hubble tension with new early dark energy

Early dark energy is not excluded by current large-scale structure data

The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data

Journal of Cosmology and Astroparticle Physics

The Ups and Downs of Early Dark Energy solutions to the Hubble tension: A review of models, hints and constraints circa 2023

Early dark energy resolution to the Hubble tension in light of weak lensing surveys and lensing anomalies

Dark energy at early times and ACT data: A larger Hubble constant without late-time priors

Hints of Early Dark Energy in Planck, SPT, and ACT data: new physics or systematics?

Implication of the Hubble tension for the primordial Universe in light of recent cosmological data

Dark sector to restore cosmological concordance


The Financial Causality Extraction Shared Task (FinCausal 2022)

JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection

Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents

Domino at FinCausal 2020, Task 1 and 2: Causal Extraction System

ATL at FinCausal 2022: Transformer Based Architecture for Automatic Causal Sentence Detection and Cause-Effect Extraction


Logic Tensor Networks

Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

NeuPSL: Neural Probabilistic Soft Logic

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation

A Practical guide on Explainable AI Techniques applied on Biomedical use case applications

LTNtorch: PyTorch Implementation of Logic Tensor Networks

logLTN: Differentiable Fuzzy Logic in the Logarithm Space


Easy and versatile open-source  code to explore Kepler, K2 and TESS data in the search for exoplanets

Two temperate super-Earths transiting a nearby late-type M dwarf

GJ 273: on the formation, dynamical evolution, and habitability of a planetary system hosted by an M dwarf at 3.75 parsec

A large sub-Neptune transiting the thick-disk M4V TOI-2406.

A search for transiting planets around hot subdwarfs I. Methods and performance tests on light curves from Kepler, K2, TESS, and CHEOPS

Keele Research Repository (Keele University)

The HD 260655 system: Two rocky worlds transiting a bright M dwarf at 10 pc

A super-Earth and a mini-Neptune near the 2:1 MMR straddling the radius valley around the nearby mid-M dwarf TOI-2096

Two super-Earths at the edge of the habitable zone of the nearby M dwarf TOI-2095

Refining the properties of the TOI-178 system with CHEOPS and TESS

Planetary companions orbiting the M dwarfs GJ 724 and GJ 3988. A CARMENES and IRD collaboration


The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

Dialect and Variant Identification as a Multi-Label Classification Task: A Proposal Based on Near-Duplicate Analysis

Workshop on NLP for Similar Languages, Varieties and Dialects

Rule-Based Error Classification for Analyzing Differences in Frequent Errors


Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale

Inferring Species Diversity and Variability over Climatic Gradient with Spectral Diversity Metrics

Syncing Phenology Phase and Canopy Spectral Reflectance of Common Tree Species of Four Forest Covers in India


A framework for nonlinear continuous-time regression

A large-scale study of the effects of word frequency and predictability in naturalistic reading

Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators

Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects

Empirical Methods in Natural Language Processing

CDRNN: Discovering Complex Dynamics in Human Language Processing

Meeting of the Association for Computational Linguistics

Word Frequency and Predictability Dissociate in Naturalistic Reading

Open mind : discoveries in cognitive science

A Deep Learning Approach to Analyzing Continuous-Time Systems

A Deep Learning Approach to Analyzing Continuous-Time Cognitive Processes


[Meta R-package on CRAN] Analyse forest diversity and dynamics


RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

Unsupervised Attention-Guided Atom-Mapping

Towards out-of-distribution generalizable predictions of chemical kinetics properties


openMINDS comprises a set of metadata models for research products in the field of neuroscience.

Brain simulation as a cloud service: The Virtual Brain on EBRAINS

International data governance for neuroscience

Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data

Brain Modelling as a Service: The Virtual Brain on EBRAINS

AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures

AtOM, an ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures


Surveillance System Against Violence

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

Two-Stream Convolutional Networks for Action Recognition in Videos

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors


Deep mutational scanning of the receptor-binding domain of SARS-CoV-2 Spike

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies

Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes

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

Mutational escape from the polyclonal antibody response to SARS-CoV-2 infection is largely shaped by a single class of antibodies

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

Globally defining the effects of mutations in a picornavirus capsid

Design of immunogens for eliciting antibody responses that may protect against SARS-CoV-2 variants

Complete Combinatorial Mutational Enumeration of a protein functional site enables sequence-landscape mapping and identifies highly-mutated variants that retain activity


Naszilla is a Python library for neural architecture search (NAS)

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

A Study on Encodings for Neural Architecture Search

Exploring the Loss Landscape in Neural Architecture Search

Surrogate-assisted evolutionary neural architecture search with network embedding

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search


higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Generalized Inner Loop Meta-Learning

Zero-Shot Cross-Lingual Transfer with Meta Learning

Meta-Learning via Learned Loss

Meta-Learning Symmetries by Reparameterization

Taming GANs with Lookahead-Minmax

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets

Learning State-Dependent Losses for Inverse Dynamics Learning


Unified MultiWOZ evaluation scripts for the context-to-response task.

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues


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

Suitability of GWAS as a Tool to Discover SNPs Associated with Tick Resistance in Cattle: A Review

Novel Risk Associations between microRNA Polymorphisms and Gastric Cancer in a Chilean Population

International journal of molecular sciences


SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.

Sun-induced fluorescence and gross primary productivity during a heat wave

Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes


Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International Journal of Computer Vision

Idempotence and Perceptual Image Compression

Few-shot Semantic Image Synthesis with Class Affinity Transfer


LAnguage Model Analysis

Language Models as Knowledge Bases?

A Primer in BERTology: What we know about how BERT works

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

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

True Few-Shot Learning with Language Models

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

How Context Affects Language Models' Factual Predictions

Knowledge-Aware Language Model Pretraining

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models

Findings of the Association for Computational Linguistics: EACL 2023


Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

A Package for Learning on Tabular and Text Data with Transformers

Proceedings of the Third Workshop on Multimodal Artificial Intelligence


[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

Deep Residual Learning for Image Recognition

YOLOv4: Optimal Speed and Accuracy of Object Detection

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions


Getting Started with Xilinx ML Suite

SCALE-Sim: Systolic CNN Accelerator Simulator

FPGAs-as-a-Service Toolkit (FaaST)

Near-Precise Parameter Approximation for Multiple Multiplications on A Single DSP Block

AIRCHITECT: Learning Custom Architecture Design and Mapping Space

A Novel FPGA-Based Intent Recognition System Utilizing Deep Recurrent Neural Networks


Toolbox for comparative genomics of MAGs

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

Novel syntrophic bacteria in full-scale anaerobic digesters revealed by genome-centric metatranscriptomics

“Candidatus Dechloromonas phosphoritropha” and “Ca. D. phosphorivorans”, novel polyphosphate accumulating organisms abundant in wastewater treatment systems

High Diversity and Functional Potential of Undescribed “Acidobacteriota” in Danish Wastewater Treatment Plants

Divergent methyl-coenzyme M reductase genes in a deep-subseafloor Archaeoglobi

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Insights into plastic biodegradation: community composition and functional capabilities of the superworm (Zophobas morio) microbiome in styrofoam feeding trials

Re-evaluation of the phylogenetic diversity and global distribution of the genusCandidatusAccumulibacter

Recoding of stop codons expands the metabolic potential of two novel Asgardarchaeota lineages

Atmospheric chemosynthesis is phylogenetically and geographically widespread and contributes significantly to carbon fixation throughout cold deserts


A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.


Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

A comparison of methods to harmonize cortical thickness measurements across scanners and sites

The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Functional connectome through the human life span

Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets

Depressive symptoms moderate functional connectivity within the emotional brain in chronic pain

A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies

Assessing cortical features in early stage ASD children


python Circos

A panoramic view of the genomic landscape of the genus Streptomyces

Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis Populations

A Category of Genes

Rp3: Ribosome profiling-assisted proteogenomics improves coverage and confidence during microprotein discovery


[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Core Challenges of Social Robot Navigation: A Survey

Relational Graph Learning for Crowd Navigation

Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation

Interaction Modeling with Multiplex Attention

Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity


Airborne Optical Sectioning

An autonomous drone for search and rescue in forests using airborne optical sectioning

Search and rescue with airborne optical sectioning

Synthetic Aperture Imaging With Drones

Airborne Optical Sectioning for Nesting Observation

Thermal Airborne Optical Sectioning

Combined Person Classification with Airborne Optical Sectioning

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

IEEE Geoscience and Remote Sensing Letters

Drone swarm strategy for the detection and tracking of occluded targets in complex environments

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Through-Foliage Tracking with Airborne Optical Sectioning


SV caller for nanopore data

Mapping and phasing of structural variation in patient genomes using nanopore sequencing

Tandem-genotypes: robust detection of tandem repeat expansions from long DNA reads

A pipeline for complete characterization of complex germline rearrangements from long DNA reads

Is an SV caller compatible with sequencing data? An online recommendation tool to automatically recommend the optimal caller based on data features


TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering

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

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation


Zero and Few shot named entity & relationships recognition

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction

Description Boosting for Zero-Shot Entity and Relation Classification


Pytorch implementation of RetinaNet object detection.

Focal Loss for Dense Object Detection

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

Deep Learning for Automatic Pneumonia Detection

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking

Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability

AI Model for Detection of Abdominal Hemorrhage Lesions in Abdominal CT Images

Focused Adversarial Attacks


Effsize - a package for efficient effect size computation

DDX3X and DDX3Y are redundant in protein synthesis

The Impact of Acute Ingestion of a Ketone Monoester Drink on LPS-Stimulated NLRP3 Activation in Humans with Obesity

Student, instructor, and observer agreement regarding frequencies of scientific teaching practices using the Measurement Instrument for Scientific Teaching-Observable (MISTO)

Trichuris muris whey acidic protein induces type 2 protective immunity against whipworm

Students' Assessment of Teaching Practices for Creativity in Graduate Programs

Development and Validation of a Novel Robot-Based Assessment of Upper Limb Sensory Processing in Chronic Stroke

Mental health among unaccompanied refugee minors after settling in Norway: A matched cross-sectional study

Problem solving in fawn‐footed mosaic‐tailed rats Melomys cervinipes is not significantly influenced by maternal care or genetic effects

Journal of experimental zoology. Part A, Ecological and integrative physiology


Statistical Analysis of RNA-Seq Tools

Quality control of transcription start site selection by nonsense-mediated-mRNA decay

A simple guide to de novo transcriptome assembly and annotation

Comparative Transcriptomics Suggests Early Modifications by Vintec® in Grapevine Trunk of Hormonal Signaling and Secondary Metabolism Biosynthesis in Response to Phaeomoniella chlamydospora and Phaeoacremonium minimum

Epitype-inducing temperatures drive DNA methylation changes during somatic embryogenesis in the long-lived gymnosperm Norway spruce


scale ethereum with snarks

A Survey: Security, Transparency, and Scalability Issues of NFT’s and Its Marketplaces

Enabling Blockchain Services for IoE with Zk-Rollups

Accountable Safety for Rollups

Zecale: Reconciling Privacy and Scalability on Ethereum


Pytorch implementation of LSTM/BERT-CRF for named entity recognition

Is ChatGPT a game changer for geocoding - a benchmark for geocoding address parsing techniques

Implicit n-grams Induced by Recurrence


Netperf is a benchmark that can be used to measure the performance of many different types of networking. It provides tests for both unidirectional throughput, and end-to-end latency.

IoT-KEEPER: Securing IoT Communications in Edge Networks

Benchmarking tunnel and encryption methodologies in cloud environments


ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

Tracking the transition to agriculture in Southern Europe through ancient DNA analysis of dental calculus

Human and Porcine Transmission of Clostridioides difficile Ribotype 078, Europe

Increase in antioxidant capacity associated with the successful subclone of hypervirulent carbapenem-resistant Klebsiella pneumoniae ST11-KL64

Emergence and Genomic Characterization of the First Reported optrA-Carrying Linezolid-Resistant Enterococci Isolated from Retail Broiler Meat in the United Arab Emirates


Utilities for DEM and point cloud co-registration

DISTRIBUTION AND EVOLUTION OF ICE APRONS IN A CHANGING CLIMATE IN THE MONT-BLANC MASSIF (WESTERN EUROPEAN ALPS)

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

The West Kunlun Glacier Anomaly and Its Response to Climate Forcing during 2002–2020

Pléiades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain

Zenodo (CERN European Organization for Nuclear Research)


This is a collection of our zero-cost NAS and efficient vision applications.

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

DAMO-YOLO : A Report on Real-Time Object Detection Design

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

IEEE International Conference on Computer Vision

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Entropy-Driven Mixed-Precision Quantization for Deep Network Design

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Human Activities Detection using DeepLearning Technique- YOLOv8


A PyTorch-powered differentiable image reconstruction/optimization toolbox

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems

IEEE transactions on computational imaging

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


Code for the paper "Jukebox: A Generative Model for Music"

Jukebox: A Generative Model for Music

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

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

DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models

Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning

Proceedings of the 16th ACM Conference on Recommender Systems

A Survey of AI Music Generation Tools and Models

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios


Deep learning software for colorizing black and white images with a few clicks.

Real-Time User-Guided Image Colorization with Learned Deep Priors

Image Colorization: A Survey and Dataset

GIMP-ML: Python Plugins for using Computer Vision Models in GIMP


add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

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

Methylation of Salmonella Typhimurium flagella promotes bacterial adhesion and host cell invasion

Measurement of Cellular Immune Response to Viral Infection and Vaccination

Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection

Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development

Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework

Androgen Receptor Pathway Activity Assay for Sepsis Diagnosis and Prediction of Favorable Prognosis

Combined computational modeling and experimental analysis integrating chemical and mechanical signals suggests possible mechanism of shoot meristem maintenance

Silent gene clusters encode magnetic organelle biosynthesis in a non-magnetotactic phototrophic bacterium

Papillary Thyroid Carcinoma Tissue miR-146b, -21, -221, -222, -181b Expression in Relation with Clinicopathological Features


[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization

Semi-Supervised Neural Architecture Search

AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment


optimization routines for hyperparameter tuning

Benchmark and Survey of Automated Machine Learning Frameworks

Easy Hyperparameter Search Using Optunity

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning

Semantic Pleonasm Detection

North American Chapter of the Association for Computational Linguistics

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

Advances in Complex Systems and Their Applications to Cybersecurity


A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

Dynamic Routing Between Capsules

CapsuleGAN: Generative Adversarial Capsule Network

Attention routing between capsules

HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules

MalCaps: A Capsule Network Based Model for the Malware Classification

Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing

CLAHE-CapsNet: Efficient retina optical coherence tomography classification using capsule networks with contrast limited adaptive histogram equalization

Towards an effective model for lung disease classification

Multi-lane LBP-Gabor Capsule Network with K-means Routing for Medical Image Analysis

International Journal of Advanced Computer Science and Applications


Java Agent for Memory Measurements

Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs

Prioritized garbage collection: explicit GC support for software caches

Conference on Object-Oriented Programming Systems, Languages, and Applications

Efficient Matching with Memoization for Regexes with Look-around and Atomic Grouping

In-Memory Indexed Caching for Distributed Data Processing


Reinforcement learning for energy systems


Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.

Introducing the Robot Vulnerability Database (RVD)

DevSecOps in Robotics

Volatile memory forensics for the Robot Operating System

alurity, a toolbox for robot cybersecurity

Robot Hacking Manual (RHM)

Cited But Not Archived: Analyzing the Status of Code References in Scholarly Articles


An accurate GFF3/GTF lift over pipeline

Liftoff: accurate mapping of gene annotations

Liftoff: an accurate gene annotation mapping tool


BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine

MolFM: A Multimodal Molecular Foundation Model

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

A Review of Large Language Models and Autonomous Agents in Chemistry

Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning

Large Language Models for Medicine: A Survey

LangCell: Language-Cell Pre-training for Cell Identity Understanding


Korean BART

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

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

Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation


AFINN sentiment analysis in Python

Over a Decade of Social Opinion Mining: A Systematic Review

A Review of Different Approaches for Detecting Emotion from Text

IOP Conference Series: Materials Science and Engineering

A systematic review of machine learning techniques for stance detection and its applications

Subversive Toxicity Detection using Sentiment Information

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings

Empirical Methods in Natural Language Processing

Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method

Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

Workshop on Trolling, Aggression and Cyberbullying

Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations

An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets


Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Averaging Weights Leads to Wider Optima and Better Generalization

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Neural networks with late-phase weights

A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS

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


Trained model files for dlib example programs.

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

Characterizing the Variability in Face Recognition Accuracy Relative to Race

Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

Improving Memory Utilization in Convolutional Neural Network Accelerators

DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification

Eigenfaces-Based Steganography

Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA

Distillation of an End-to-End Oracle for Face Verification and Recognition Sensors

Estimating Structural Disparities for Face Models


:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

Plastic-degrading potential across the global microbiome correlates with recent pollution trends

metaGEM: reconstruction of genome scale metabolic models directly from metagenomes

Systems Biology of Gut Microbiota-Human Receptor Interactions: Toward Anti-inflammatory Probiotics

The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis


Beautiful LaTeX dissertation templates.

Classification and Construction of Topological Phases of Quantum Matter

On streaming approximation algorithms for constraint satisfaction problems

Universality in Non-Equilibrium Quantum Systems

Modeling Multiphase Flow Through and Around Multiscale Deformable Porous Materials


The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Extending Context Window of Large Language Models via Positional Interpolation

Yi: Open Foundation Models by 01.AI

Llemma: An Open Language Model For Mathematics

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

StarCoder 2 and The Stack v2: The Next Generation

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Landmark Attention: Random-Access Infinite Context Length for Transformers

Focused Transformer: Contrastive Training for Context Scaling


TensorFlow2 Reinforcement Learning

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

International Conference on Robotics and Automation

Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning

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

Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning

An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

PIC4rl-gym: a ROS2 Modular Framework for Robots Autonomous Navigation with Deep Reinforcement Learning

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration

Challenges in migrating imperative deep learning programs to graph execution

Proceedings of the 19th International Conference on Mining Software Repositories

Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning


[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

Graph Attention Networks

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

SIGN: Scalable Inception Graph Neural Networks

Scalable Graph Neural Networks via Bidirectional Propagation

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Accurate, Efficient and Scalable Graph Embedding

International Parallel and Distributed Processing Symposium

Node Dependent Local Smoothing for Scalable Graph Learning

C-SAW: A Framework for Graph Sampling and Random Walk on GPUs

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm


Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.

PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors

International Conference on Computational Linguistics

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Keyphrase Extraction from Disaster-related Tweets

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

Phonosemantic biases found in Leipzig-Jakarta lists of 66 languages

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

FonBund: A Library for Combining Cross-lingual Phonological Segment Data

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

Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness

The Post-Stroke Speech Transcription (PSST) Challenge


Python toolbox for sampling Determinantal Point Processes

Determinantal Point Processes for Machine Learning

Foundations and Trends® in Machine Learning

Rates of Convergence for Sparse Variational Gaussian Process Regression

DGCN: Diversified Recommendation with Graph Convolutional Networks

Monte Carlo with determinantal point processes

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

On two ways to use determinantal point processes for Monte Carlo integration

NeurIPS - Exact sampling of determinantal point processes with sublinear time preprocessing

Sampling from a k-DPP without looking at all items


An R package to hold and facilitate interaction with natural earth map data :earth_africa:

CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases

Harnessing the Potential of Native Microbial Communities for Bioremediation of Oil Spills in the Iberian Peninsula NW Coast

Indian genetic heritage in Southeast Asian populations

Long-distance dispersal of pigeons and doves generated new ecological opportunities for host-switching and adaptive radiation by their parasites

Multiple waves of freshwater colonization of the three-spined stickleback in the Japanese Archipelago

Adulis and the transshipment of baboons during classical antiquity

The Bay of Bengal exposes abundant photosynthetic picoplankton and newfound diversity along salinity-driven gradients.

Genetic Diversity and Structure of a Diverse Population of Picea sitchensis Using Genotyping-by-Sequencing

An integrative taxonomy approach reveals Saccharomyces chiloensis sp. nov. as a newly discovered species from Coastal Patagonia

Long-read powered viral metagenomics in the oligotrophic Sargasso Sea


Train and Infer Powerful Sentence Embeddings with AnglE |  SOTA on STS and MTEB Leaderboard

AnglE-optimized Text Embeddings

BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings

2D Matryoshka Sentence Embeddings

Retrieval Enhanced Zero-Shot Video Captioning


Multi-subject Single Cell Deconvolution

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

Comprehensive evaluation of deconvolution methods for human brain gene expression

Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Exploring Additional Valuable Information From Single-Cell RNA-Seq Data

Frontiers in cell and developmental biology

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Deconvolution of a Large Cohort of Placental Microarray Data Reveals Clinically Distinct Subtypes of Preeclampsia

Frontiers in bioengineering and biotechnology

Expression quantitative trait locus studies in the era of single-cell omics

Single-cell RNA sequencing reveals in vivo osteoimmunology interactions between the immune and skeletal systems

A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML


The Video Game Level Corpus

The VGLC: The Video Game Level Corpus

Controllable Level Blending between Games using Variational Autoencoders

Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry

Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions


This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

Conversational Machine Comprehension: a Literature Review

A Survey of Document Grounded Dialogue Systems (DGDS)

Sogou Machine Reading Comprehension Toolkit


Trained models with fast variant of the "best" LSTM models + legacy models

Efficient, Lexicon-Free OCR using Deep Learning

Combining OCR Models for Reading Early Modern Printed Books

An empirical study of CTC based models for OCR of Indian languages


GraphCast: Learning skillful medium-range global weather forecasting

Neural General Circulation Models

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Predictability Limit of the 2021 Pacific Northwest Heatwave from
  Deep-Learning Sensitivity Analysis

Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events


[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Is Your HD Map Constructor Reliable under Sensor Corruptions?


SiMon -- Simulation Monitor

Stability of multiplanetary systems in star clusters

Monthly Notices of the Royal Astronomical Society

Inside-Out Planet Formation: VI. Oligarchic Coagulation of Planetesimals from a Pebble Ring?

SiMon: Simulation Monitor for Computational Astrophysics

Publications of the Astronomical Society of the Pacific

DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks

PROCEEDINGS OF 2020 IEEE/ACM 5TH WORKSHOP ON DEEP LEARNING ON SUPERCOMPUTERS (DLS 2020)


POET pipeline for reduction of Spitzer data

Absence of a thick atmosphere on the terrestrial exoplanet LHS 3844b

TESS Hunt for Young and Maturing Exoplanets (THYME). II. A 17 Myr Old Transiting Hot Jupiter in the Sco-Cen Association

TESS Hunt for Young and Maturing Exoplanets (THYME). V. A Sub-Neptune Transiting a Young Star in a Newly Discovered 250 Myr Association

K2 and Spitzer phase curves of the rocky ultra-short-period planet K2-141 b hint at a tenuous rock vapor atmosphere

The First Habitable-zone Earth-sized Planet from TESS. II. Spitzer Confirms TOI-700 d

Introducing a New Spitzer Master BLISS Map to Remove the Instrument Systematic Phase-curve-parameter Degeneracy, as Demonstrated by a Reanalysis of the 4.5 μm WASP-43b Phase Curve

Phase Curves of Hot Neptune LTT 9779b Suggest a High-metallicity Atmosphere

A Mirage or an Oasis? Water Vapor in the Atmosphere of the Warm Neptune TOI-674 b

Wolf 503 b: Characterization of a Sub-Neptune Orbiting a Metal-poor K Dwarf

Hazy with a Chance of Star Spots: Constraining the Atmosphere of Young Planet K2-33b


Inforex is a web system for text corpora construction.

Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews

Conference on Computational Natural Language Learning

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Workshop on Balto-Slavic Natural Language Processing

Inforex --- a Collaborative Systemfor Text Corpora Annotation and Analysis Goes Open

Recent Advances in Natural Language Processing

Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages


Proxy app for Nek5000

Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection

HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark


The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Evaluating generative models in high energy physics

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

DeepTreeGAN: Fast Generation of High Dimensional Point Clouds


Whole exome sequencing pipeline including advanced variant annotation features and automated PDF reporting.

Knowledge bases and software support for variant interpretation in precision oncology

Challenges and Experiences Extending the cBioPortal for Cancer Genomics to a Molecular Tumor Board Platform

Studies in health technology and informatics

MIRACUM-Pipe: An Adaptable Pipeline for Next-Generation Sequencing Analysis, Reporting, and Visualization for Clinical Decision Making

openEHR Mapper - A Tool to Fuse Clinical and Genomic Data Using the openEHR Standard

Use of Process Modelling for Optimization of Molecular Tumor Boards


Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.

On Online Control of False Discovery Rate

Asynchronous Online Testing of Multiple Hypotheses

Online control of the familywise error rate


LibOPF is a library of functions and programs for free usage in the design of optimum-path forest classifiers.

A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

Opytimizer: A Nature-Inspired Python Optimizer

Hierarchical Learning Using Deep Optimum-Path Forest

Journal of Visual Communication and Image Representation

Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier

Soft Computing - A Fusion of Foundations, Methodologies and Applications

FEMa-FS: Finite Element Machines for Feature Selection

International Conference on Pattern Recognition


A Python version of KinMS (github.com/TimothyADavis/KinMS)

Being KLEVER at cosmic noon: Ionized gas outflows are inconspicuous in low-mass star-forming galaxies but prominent in massive AGN hosts

The MBHBM⋆ Project. I. Measurement of the Central Black Hole Mass in Spiral Galaxy NGC 3504 Using Molecular Gas Kinematics

WISDOM project - VIII. Multiscale feedback cycles in the brightest cluster galaxy NGC 0708

Monthly notices of the Royal Astronomical Society

Evidence of Wind Signatures in the Gas Velocity Profiles of Red Geysers

The Complex Gaseous and Stellar Environments of the Nearby Dual Active Galactic Nucleus Mrk 739

Using machine learning to study the kinematics of cold gas in galaxies

A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics

The ALMaQUEST Survey XIV: do radial molecular gas flows affect the star-forming ability of barred galaxies?

Cool interstellar medium as an evolutionary tracer in ALMA-observed local dusty early-type galaxies

Kinematics of molecular gas in star-forming galaxies with large-scale ionized outflows


C++ associative containers

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

The Case for Learned Index Structures

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Motivo: fast motif counting via succinct color coding and adaptive sampling

Parallel Weighted Random Sampling

Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

Faster Motif Counting via Succinct Color Coding and Adaptive Sampling

ACM Transactions on Knowledge Discovery from Data

Dynamic Path-Decomposed Tries


Easily download and visualise climate data from CliFlo


Repository for EcoSimR, by Gotelli, N.J. , Hart E. M. and A.M. Ellison. 2014. EcoSimR 0.1.0

Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data

Archaea in boreal Swedish lakes are diverse, dominated by Woesearchaeota and follow deterministic community assembly

Spatial and Dietary Overlap Creates Potential for Competition between Red Snapper (Lutjanus campechanus) and Vermilion snapper (Rhomboplites aurorubens)

Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes

The effects of pastoral intensification on the feeding interactions of generalist predators in streams

Consumption Patterns of a Generalist Omnivore: Eastern Box Turtle Diets in the Long Island Pine Barrens

Seasonal and Soil Microbiota Effects on the Adaptive Strategies of Wild Goitered Gazelles Based on the Gut Microbiota

Deep-Sea Nematodes of the Mozambique Channel: Evidence of Random Community Assembly Dynamics in Seep Sediments

Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group

Animals : an open access journal from MDPI

Symptomatic and Asymptomatic Protist Infections in Hospital Inpatients in Southwestern China


Simulation Sandbox for the Design and Evaluation of Stormwater Control Algorithms

pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms


Numerical Manufacturing And Design Tool (NuMAD) -- A design tool for wind and water turbine composite blades

Land-based wind turbines with flexible rail-transportable blades – Part 2: 3D finite element design  optimization of the rotor blades


streamMetabolizer uses inverse modeling to estimate aquatic metabolism (photosynthesis and respiration) from time series data on dissolved oxygen, water temperature, depth, and light.

Scoured or suffocated: Urban stream ecosystems oscillate between hydrologic and dissolved oxygen extremes

The metabolic regimes of 356 rivers in the United States

Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes

Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams

Resistance and resilience of stream metabolism to high flow disturbances

Linking denitrification with ecosystem respiration in mountain streams

High Daily and Year-Round Variability in Denitrification and Nitrogen Fixation in a Northern Temperate River

Metabolism Regimes in Regulated Rivers of the Illinois River Basin, USA


A Python module for preprocessing and evaluating aerodynamic airfoil data---primarily for wind turbine applications.


Time-Series Anomaly Detection Service at Microsoft

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Constructing Large-Scale Real-World Benchmark Datasets for AIOps


Composable Sparse Fine-Tuning for Cross-Lingual Transfer

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas

Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas

NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task

Peru is Multilingual, Its Machine Translation Should Be Too?

Distilling Efficient Language-Specific Models for Cross-Lingual Transfer