calculate radial velocities from stellar spectra

Spectrum radial velocity analyser (SERVAL) - High-precision radial velocities and two alternative spectral indicators

A candidate super-Earth planet orbiting near the snow line of Barnard’s star

The CARMENES search for exoplanets around M dwarfs. Two temperate Earth-mass planet candidates around Teegarden's Star

e-Archivo (Universidad Carlos III de Madrid)

The CARMENES search for exoplanets around M dwarfs: Two planets on opposite sides of the radius gap transiting the nearby M dwarf LTT 3780

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

On-sky commissioning of MAROON-X: A new precision radial velocity spectrograph for Gemini North

Ground-based and Airborne Instrumentation for Astronomy VIII

TOI-1201 b: A mini-Neptune transiting a bright and moderately young M dwarf

The TROY project

The CARMENES search for exoplanets around M dwarfs The enigmatic planetary system GJ 4276: one eccentric planet or two planets in a 2:1 resonance?

The CARMENES search for exoplanets around M dwarfs. Guaranteed time
  observations Data Release 1 (2016-2020)


My CV

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

corner.py: Scatterplot matrices in Python

Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series

A seven-planet resonant chain in TRAPPIST-1

State of the Field: Extreme Precision Radial Velocities

EXOPLANET POPULATION INFERENCE AND THE ABUNDANCE OF EARTH ANALOGS FROM NOISY, INCOMPLETE CATALOGS

A Kinematical Detection of Two Embedded Jupiter-mass Planets in HD 163296

EVEREST: Pixel Level Decorrelation of K2 Light curves

������������: Analytic Occultation Light Curves

Data Analysis Recipes: Using Markov Chain Monte Carlo

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


all methods related to Enterobase

The EnteroBase user's guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity

Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food-borne microorganisms

EFSA journal. European Food Safety Authority

Case-control investigation of invasive Salmonella disease in Malawi reveals no evidence of environmental or animal transmission of invasive strains, and supports human to human transmission

VPsero: Rapid Serotyping of Vibrio parahaemolyticus Using Serogroup-Specific Genes Based on Whole-Genome Sequencing Data


A neural language model that estimates incremental processing complexity

A Neural Model of Adaptation in Reading

Dual Mechanism Priming Effects in Hindi Word Order

Discourse Context Predictability Effects in Hindi Word Order

Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?


An ultra-fast equilibrium chemistry

FastChem: A computer program for efficient complex chemical equilibrium calculations in the neutral/ionized gas phase with applications to stellar and planetary atmospheres

Monthly notices of the Royal Astronomical Society

The Peculiar Atmospheric Chemistry of KELT-9b

Non-local thermodynamic equilibrium effects determine the upper atmospheric temperature structure of the ultra-hot Jupiter KELT-9b

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

Atmospheric compositions and observability of nitrogen-dominated ultra-short-period super-Earths

FastChem 2: An improved computer program to determine the gas-phase
  chemical equilibrium composition for arbitrary element distributions

Reduced Atmospheres of Post-impact Worlds: The Early Earth

Observability of evaporating lava worlds

Growth and Evolution of Secondary Volcanic Atmospheres: I. Identifying the Geological Character of Hot Rocky Planets

Journal of geophysical research. Planets

Stellar impact on disequilibrium chemistry and observed spectra of hot Jupiter atmospheres


Tools for accessing the Botanical Information and Ecology Network (BIEN) database


Easy access to high-resolution daily climate data for Europe


A multi-resolution seismic attenuation tomography code - currently in its 3.0 release

3-D attenuation image of fluid storage and tectonic interactions across the Pollino fault network

Scattering Attenuation Images of the Control of Thrusts and Fluid Overpressure on the 2016–2017 Central Italy Seismic Sequence


MarginPolish: Graph based assembly polishing

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

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

Automated strain separation in low-complexity metagenomes using long reads

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

Assembling Quality Genomes of Flax Fungal Pathogens from Oxford Nanopore Technologies Data


WaveRNN Vocoder + TTS

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

A Survey on Neural Speech Synthesis

TorchAudio: Building Blocks for Audio and Speech Processing

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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

Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions

Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion

Score and Lyrics-Free Singing Voice Generation

Towards Robust Neural Vocoding for Speech Generation: A Survey

Maximizing Mutual Information for Tacotron


Astrocats module for the Open Supernova Catalog (OSC). Please use the issue tracker on this repo for all OSC issues.

An Open Catalog for Supernova Data

Oxygen and calcium nebular emission line relationships in core-collapse supernovae and Ca-rich transients

Linking Extragalactic Transients and Their Host Galaxy Properties: Transient Sample, Multiwavelength Host Identification, and Database Construction

Collapsars as Sites of r-process Nucleosynthesis: Systematic Photometric Near-infrared Follow-up of Type Ic-BL Supernovae


Software library for FDTD of viscoelastic equation using a staggered grid arrangement with support for GPU and CPU backends

A viscoelastic model for the prediction of transcranial ultrasound propagation: application for the estimation of shear acoustic properties in the human skull

Superposition method for modelling boundaries between media in viscoelastic finite difference time domain simulations.

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications


Access data, statistics, and visualizations for New York's electricity grid.


All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

All in One: Multi-Task Prompting for Graph Neural Networks

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

Graph Prompt Learning: A Comprehensive Survey and Beyond


Command line Java Decompiler

Auto-completing Bug Reports for Android Applications

FUSION: A Tool for Facilitating and Augmenting Android Bug Reporting

Hybroid: A Novel Hybrid Android Malware Detection Framework

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi


Store of the trained model for pangolin to access.

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

SARS-CoV-2 variant Delta rapidly displaced variant Alpha in the United States and led to higher viral loads

Evidence for SARS-CoV-2 Delta and Omicron co-infections and recombination

Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences

Rapid and Flexible RT-qPCR Surveillance Platforms To Detect SARS-CoV-2 Mutations

Tracking the first SARS-CoV-2 Omicron BA.5.1.3 outbreak in China

SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine learning method

Proficiency testing for SARS-CoV-2 whole genome sequencing

Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India


Conditional out-of-distribution prediction

Conditional out-of-distribution generation for unpaired data using transfer VAE.

Conditional out-of-sample generation for unpaired data using trVAE

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报


A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Integrated immune dynamics define correlates of COVID-19 severity and antibody responses

Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre

High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease

Neutrophil Extracellular Traps Drive Dacryolithiasis

Influence of bariatric surgery on the peripheral blood immune system of female patients with morbid obesity revealed by high-dimensional mass cytometry

Immune responses in COVID-19 respiratory tract and blood reveal mechanisms of disease severity


Pre-trained models for natural language processing: A survey

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models

Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data


Coding Genome Reconstruction using Iso-Seq data

Long read reference genome-free reconstruction of a full-length transcriptome from Astragalus membranaceus reveals transcript variants involved in bioactive compound biosynthesis

De Novo Clustering of Long-Read Transcriptome Data Using a Greedy, Quality Value-Based Algorithm

Reconstruction of the full-length transcriptome atlas using PacBio Iso-Seq provides insight into the alternative splicing in Gossypium australe

Full-length transcriptome of Misgurnus anguillicaudatus provides insights into evolution of genus Misgurnus

Utilizing PacBio Iso-Seq for Novel Transcript and Gene Discovery of Abiotic Stress Responses in Oryza sativa L.

International journal of molecular sciences

SMRT sequencing of a full-length transcriptome reveals transcript variants involved in C18 unsaturated fatty acid biosynthesis and metabolism pathways at chilling temperature in Pennisetum giganteum

PacBio Iso-Seq Improves the Rainbow Trout Genome Annotation and Identifies Alternative Splicing Associated With Economically Important Phenotypes

Comprehensive transcriptome analysis reveals genes potentially involved in isoflavone biosynthesis in Pueraria thomsonii Benth

A de novo Full-Length mRNA Transcriptome Generated From Hybrid-Corrected PacBio Long-Reads Improves the Transcript Annotation and Identifies Thousands of Novel Splice Variants in Atlantic Salmon

SMRT and Illumina RNA sequencing reveal novel insights into the heat stress response and crosstalk with leaf senescence in tall fescue


A toolbox of scene text super-resolution and recognition

Scene Text Telescope: Text-Focused Scene Image Super-Resolution

Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

Chinese Character Recognition with Augmented Character Profile Matching

Proceedings of the 30th ACM International Conference on Multimedia

Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning

Scene Text Segmentation with Text-Focused Transformers

Proceedings of the 31st ACM International Conference on Multimedia


Full-length transcriptome splicing and mutation analysis

Comprehensive characterization of single cell full-length isoforms in human and mouse with long-read sequencing

The long and the short of it: unlocking nanopore long-read RNA sequencing data with short-read differential expression analysis tools

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology


Record the CPU and memory activity of a process :chart_with_upwards_trend:

Interpretable Time Series Classification using Linear Models and
  Multi-resolution Multi-domain Symbolic Representations

Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model

State-space Construction of Hybrid Petri Nets with Multiple Stochastic Firings

Towards an Open Format for Scalable System Telemetry

Efficient Approach for Anomaly Detection in IoT Using System Calls

Pip-MPU: Formal Verification of an MPU-Based Separationkernel for Constrained Devices

Zenodo (CERN European Organization for Nuclear Research)


R interface for the World Bank climate data


To analyze and remove gender bias in coreference resolution systems

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Sustainable Modular Debiasing of Language Models

Algorithmic fairness datasets: the story so far

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Towards Understanding Gender Bias in Relation Extraction

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal

Conceptor Debiasing of Word Representations Evaluated on WEAT

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations

Proceedings of the First Workshop on Gender Bias in Natural Language Processing

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


GTEx & TOPMed data production and analysis pipelines

Genetic effects on gene expression across human tissues

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Transcript expression-aware annotation improves rare variant interpretation

Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome

A vast resource of allelic expression data spanning human tissues

A first-generation pediatric cancer dependency map

New insights on the genetic etiology of Alzheimer’s and related dementia

Variability in estimated gene expression among commonly used RNA-seq pipelines

Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancer

Skeletal muscle enhancer interactions identify genes controlling whole-body metabolism


[ICCV 2023] You Only Look at One Partial Sequence

Benchmarking Detection Transfer Learning with Vision Transformers

MILAN: Masked Image Pretraining on Language Assisted Representation

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders


Public home of pycorels, the python binding to CORELS

Learning Certifiably Optimal Rule Lists for Categorical Data

Scalable Bayesian Rule Lists

Learning Fair Rule Lists

Interpretable Companions for Black-Box Models

Probabilistic Dataset Reconstruction from Interpretable Models

QCBA: improving rule classifiers learned from quantitative data by recovering information lost by discretisation

Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods


Reusable BatchBALD implementation

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Advancing Deep Active Learning & Data Subset Selection: Unifying
  Principles with Information-Theory Intuitions


Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

Domain-Adversarial Training of Neural Networks

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Semisupervised adversarial neural networks for single-cell classification

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报


MedViLL official code. (Published IEEE JBHI 2021)

Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training

Self-supervised Multi-modal Training from Uncurated Image and Reports
  Enables Zero-shot Oversight Artificial Intelligence in Radiology

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health
  Records with Chest X-ray Images


R/qtl: A QTL mapping environment

Bioinformatics tools and database resources for systems genetics analysis in mice—a short review and an evaluation of future needs

Phenotyping and Quantitative Trait Locus Analysis for the Limited Transpiration Trait in an Upper-Mid South Soybean Recombinant Inbred Line Population (“Jackson” × “KS4895”): High Throughput Aquaporin Inhibitor Screening

Fourteen Years of R/qtl: Just Barely Sustainable

Covariation of brain and skull shapes as a model to understand the role of crosstalk in development and evolution


Data on CO2 and greenhouse gas emissions by Our World in Data

Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study

International journal of environmental research and public health

Economic Activities and Management Issues for the Environment: An Environmental Kuznets Curve (EKC) and STIRPAT Analysis in Turkey

CO2 emissions of nuclear power and renewable energies: a statistical analysis of European and global data

Practical Vitality of Green Bonds and Economic Benefits

Review of business and economics studies

Cluster-Specific Predictions with Multi-Task Gaussian Processes

Multilevel intergroup conflict at the core of climate (in)justice: Psychological challenges and ways forward

Wiley interdisciplinary reviews. Climate change


Non-parametric Entropy Estimation Toolbox

Efficient Estimation of Mutual Information for Strongly Dependent Variables

Precise excitation-inhibition balance controls gain and timing in the hippocampus

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Machine learning-based early detection of IoT botnets using network-edge traffic

Tensor networks and efficient descriptions of classical data

Doing the impossible: Why neural networks can be trained at all

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Sufficiency of a Gaussian power spectrum likelihood for accurate cosmology from upcoming weak lensing surveys

TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data

On the Upper Limit of Separability


This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

AI Safety Gridworlds

Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective

Avoiding Side Effects By Considering Future Tasks


Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

Generalized Contrastive Optimization of Siamese Networks for Place
  Recognition

Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision


Tools for analyzing aerial point clouds of forest data.


T2 Temporal Prover

T2: Temporal Property Verification

DynamiTe: Dynamic Termination and Non-termination Proofs

Decision Tree Learning in CEGIS-Based Termination Analysis


A license friendly NGC/IC objects database

The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation

Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS)

Cross-correlation of Planck CMB lensing with DESI-like LRGs

Monthly Notices of the Royal Astronomical Society

Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey

A Search for Wandering Black Holes in the Milky Way with Gaia and DECaLS

Siena Galaxy Atlas 2020

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


R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)

Combined Genetic and Genealogic Studies Uncover a Large BAP1 Cancer Syndrome Kindred Tracing Back Nine Generations to a Common Ancestor from the 1700s

Genetic variation in the HLA region is associated with susceptibility to herpes zoster

Perceptions of Similarity Can Mislead Provenancing Strategies—An Example from Five Co-Distributed Acacia Species


Implementation of Positional Burrows-Wheeler Transform for genetic data

Accurate, scalable and integrative haplotype estimation

Assessment of Imputation Quality: Comparison of Phasing and Imputation Algorithms in Real Data

Integrative haplotype estimation with sub-linear complexity

Exploiting parallelization in positional Burrows–Wheeler transform (PBWT) algorithms for efficient haplotype matching and compression


SemiBin: metagenomics binning with self-supervised deep learning

A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments

SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing

SemiBin: Incorporating information from reference genomes with semi-supervised deep learning leads to better metagenomic assembled genomes (MAGs)


Several data modalities for KBs (visual, numerical, temporal, etc.)

Representation Learning for Dynamic Graphs: A Survey

Learning Sequence Encoders for Temporal Knowledge Graph Completion

MMKG: Multi-Modal Knowledge Graphs

KBLRN : End-to-End Learning of Knowledge Base Representations with
  Latent, Relational, and Numerical Features

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph
  Learning


Entity And RELation mapping

EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs

Message Passing for Complex Question Answering over Knowledge Graphs

IQA: Interactive query construction in semantic question answering systems

Knowledge-based Conversational Search


Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Sequence-to-Sequence Learning as Beam-Search Optimization

Word meaning in minds and machines

Atlas: A Dataset and Benchmark for E-commerce Clothing Product
  Categorization

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Object-oriented backdoor attack against image captioning

Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation

Findings of the Association for Computational Linguistics: EMNLP 2022

Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features

vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain
  using Swin Transformer and Attention-based LSTM


Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

CogView: Mastering Text-to-Image Generation via Transformers

TheoremQA: A Theorem-driven Question Answering dataset

Evaluating Large Language Models for Radiology Natural Language Processing


:sunflower: pyet is a Python package to estimate reference and potential evaporation.

PyEt - a Python package to estimate potential and reference evapotranspiration


Pytorch Implementation of DeepLog.

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Conference on Computer and Communications Security

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability


Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

MixMatch: A Holistic Approach to Semi-Supervised Learning

A Survey of Deep Learning for Scientific Discovery

Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)

Body Part-Based Representation Learning for Occluded Person Re-Identification

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

TVCalib: Camera Calibration for Sports Field Registration in Soccer


More than a hundred strange attractors

Datasheets for Datasets

Chaos as an interpretable benchmark for forecasting and data-driven modelling

Learning Dynamical Systems from Data: A Simple Cross-Validation
  Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems

Model scale versus domain knowledge in statistical forecasting of chaotic systems


This repository contains some utilities for using the H3DS dataset

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

Implicit Shape and Appearance Priors for Few-Shot Full Head
  Reconstruction


Sarcasm detection on tweets using neural network

Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal

Empirical Methods in Natural Language Processing

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE transactions on affective computing

Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction

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


API Documentation

Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine

Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements

A Multi-Platform Collection of Social Media Posts about the 2022 U.S.
  Midterm Elections

ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election


simple customizable risk scores in python

Learning Optimized Risk Scores

MonoNet: Towards Interpretable Models by Learning Monotonic Features

Connecting Interpretability and Robustness in Decision Trees through Separation

FasterRisk: Fast and Accurate Interpretable Risk Scores

OPTIMIZED RISK SCORE TO PREDICT MORTALITY IN PATIENTS WITH CARDIOGENIC SHOCK IN THE CARDIAC INTENSIVE CARE UNIT

Journal of the American Heart Association. Cardiovascular and cerebrovascular disease

Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models.


Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

Learning Curves for Analysis of Deep Networks

Classification of Tennis Shots with a Neural Network Approach

Extending the SAGA Survey (xSAGA). I. Satellite Radial Profiles as a Function of Host-galaxy Properties

Using interpretable deep learning to model cancer dependencies

Less is more: Faster and better music version identification with embedding distillation.

On Improving an Already Competitive Segmentation Algorithm for the Cell Tracking Challenge - Lessons Learned

A two-stage stacked-based heterogeneous ensemble learning for cancer survival prediction


PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID


Kandinsky 2 — multilingual text2image latent diffusion model

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
  Diffusion Models

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Cross-Image Attention for Zero-Shot Appearance Transfer

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and
  Latent Diffusion

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior
  Constraints

Training Multimedia Event Extraction With Generated Images and Captions


Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

De-identification of Patient Notes with Recurrent Neural Networks

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Transfer learning for biomedical named entity recognition with neural networks

Transfer Learning for Named-Entity Recognition with Neural Networks

BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset

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

Improving Topic Quality by Promoting Named Entities in Topic Modeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

Location reference recognition from texts: A survey and comparison

A Deeper Look into Dependency-Based Word Embeddings

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation


Wrapper for RDKit's RunReactants to improve stereochemistry handling

Retrosynthesis Prediction with Conditional Graph Logic Network

RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application

Journal of chemical information and modeling

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction

Learning retrosynthetic planning through self-play


NLP framework for JVM languages.

Lexicon Integrated CNN Models with Attention for Sentiment Analysis

Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Classification of Radiology Reports Using Neural Attention Models

SelQA: A New Benchmark for Selection-based Question Answering

Text mining resources for the life sciences

Database : the journal of biological databases and curation

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

North American Chapter of the Association for Computational Linguistics

Learning to Recognize Discontiguous Entities

A Challenge Set and Methods for Noun-Verb Ambiguity

QA-It: Classifying Non-Referential It for Question Answer Pairs

Meeting of the Association for Computational Linguistics

Analysis of Wikipedia-based Corpora for Question Answering


python wrapper for rubberband

A Bi-directional Transformer for Musical Chord Recognition

MediumVC: Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features

DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces

From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models

Mustango: Toward Controllable Text-to-Music Generation


TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Semantic Understanding of Scenes through the ADE20K Dataset

The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing

From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation


DeepPose implementation in Chainer

DeepPose: Human Pose Estimation via Deep Neural Networks

Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Unsupervised Learning using Sequential Verification for Action Recognition.

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation


Tools for generating mini-ImageNet dataset and processing batches

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

Meta-Transfer Learning for Few-Shot Learning

Adversarial Generation of Continuous Images

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

PAC Prediction Sets for Meta-Learning


A Style-Based Generator Architecture for Generative Adversarial Networks

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

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Unmasking DeepFakes with simple Features

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


A scalable high-throughput metabolic and biogeochemical functional trait profiler

METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks

Genome-resolved metagenomics reveals site-specific diversity of episymbiotic CPR bacteria and DPANN archaea in groundwater ecosystems

METABOLIC: High-throughput Profiling of Microbial Genomes for Functional Traits, Biogeochemistry, and Community-scale Metabolic Networks

Revealing taxon-specific heavy metal-resistance mechanisms in denitrifying phosphorus removal sludge using genome-centric metaproteomics

Soils and sediments host Thermoplasmata archaea encoding novel copper membrane monooxygenases (CuMMOs)

Soils and sediments host novel archaea with divergent monooxygenases implicated in ammonia oxidation


Dictionary based sentiment analysis that considers valence shifters

Telehealth Before and During the COVID-19 Pandemic: Analysis of Health Care Workers' Opinions

Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment

Identifying the sentiment styles of YouTube's vloggers

Interjections and emojis in Nigerian online communication

Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon

Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks

Using Localized Twitter Activity for Red Tide Impact Assessment

Anti-noise window: Subjective perception of active noise reduction and effect of informational masking

Examining UK drill music through sentiment trajectory analysis


中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

CLUE: A Chinese Language Understanding Evaluation Benchmark

HuatuoGPT, towards Taming Language Model to Be a Doctor

General and Domain-adaptive Chinese Spelling Check with Error-consistent Pretraining


A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

Robust log-based anomaly detection on unstable log data

Log clustering based problem identification for online service systems

International Conference on Software Engineering

Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Inferring models of concurrent systems from logs of their behavior with CSight

A Survey on Automated Log Analysis for Reliability Engineering

PreFix

Proceedings of the ACM on measurement and analysis of computing systems

Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation

Examining the stability of logging statements

IEEE International Conference on Software Analysis, Evolution, and Reengineering

Mining Program Workflow from Interleaved Logs


A python wrapper for Speech Signal Processing Toolkit (SPTK).

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

Many-to-Many Voice Transformer Network

Surfboard: Audio Feature Extraction for Modern Machine Learning

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis

Learning and controlling the source-filter representation of speech with a variational autoencoder

Crossmodal Voice Conversion


Deep and Machine Learning for Microscopy

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

An Introduction to Variational Autoencoders

Foundations and trends in machine learning

Averaging Weights Leads to Wider Optima and Better Generalization

Deep Kernel Learning

Recent advances and applications of deep learning methods in materials science

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy

Exploring order parameters and dynamic processes in disordered systems via variational autoencoders

AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy

Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised machine learning


Sparse InversE Covariance estimation for Ecological Association and Statistical Inference

Sparse and Compositionally Robust Inference of Microbial Ecological Networks

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models

Fungi stabilize connectivity in the lung and skin microbial ecosystems

Eukaryotic Parasites Are Integral to a Productive Microbial Food Web in Oxygen-Depleted Waters

Influential Insider: Wolbachia, an Intracellular Symbiont, Manipulates Bacterial Diversity in Its Insect Host

Modeling Microbial Community Networks: Methods and Tools


Converts medical images to more displayable formats, e.g. NIfTI to jpg.

Classification of Alzheimer's Disease Using the Convolutional Neural
  Network (CNN) with Transfer Learning and Weighted Loss

Pairwise Correlation Analysis of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

BrainQCNet: a Deep Learning attention-based model for the automated detection of artifacts in brain structural MRI scans


Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.

Deep Appearance Models for Face Rendering

Mixture of Volumetric Primitives for Efficient Neural Rendering

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

Learning Compositional Radiance Fields of Dynamic Human Heads

Pixel Codec Avatars

Multiface: A Dataset for Neural Face Rendering


This project purpose is convert voc annotation xml file to yolo-darknet training file format

A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform

Machine learning-based real-time object locator/evaluator for cryo-EM data collection


Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link, direct download and more!

Domain-Adversarial Training of Neural Networks

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation


spaCy module for linking text to Wikidata items

Knowledge Graph Contrastive Learning for Recommendation

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

KALA: Knowledge-Augmented Language Model Adaptation

Reasoning over Public and Private Data in Retrieval-Based Systems

Knowledge-aware Neural Networks with Personalized Feature Referencing
  for Cold-start Recommendation

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting


Image Signal Processor

Gradient-Based Feature Extraction From Raw Bayer Pattern Images

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

Software-Defined Imaging: A Survey


Descriptor computation(chemistry) and (optional) storage for machine learning

Analyzing Learned Molecular Representations for Property Prediction

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

Does GNN Pretraining Help Molecular Representation?

Improving Compound Activity Classification via Deep Transfer and Representation Learning

High-throughput synthesis provides data for predicting molecular properties and reaction success

Zenodo (CERN European Organization for Nuclear Research)


Matlab and Python toolbox for fast Total Variation proximity operators

Modular proximal optimization for multidimensional total-variation regularization

The Mathematics teacher/The mathematics teacher

Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of
  preventing overfitting

A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices

Learning to solve TV regularized problems with unrolled algorithms

Total Variation Optimization Layers for Computer Vision

A unified analysis of convex and non-convex lp-ball projection problems


The state-of-the-art image restoration model without nonlinear activation functions.

Simple Baselines for Image Restoration

Improving Image Restoration by Revisiting Global Information Aggregation

NAFSSR: Stereo Image Super-Resolution Using NAFNet

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive


Memory Networks implementations

End-To-End Memory Networks

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

Adding Gradient Noise Improves Learning for Very Deep Networks

Tracking the World State with Recurrent Entity Networks

Deep Reinforcement Learning

A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation

Dialogue Learning With Human-In-The-Loop

Learning through Dialogue Interactions by Asking Questions

GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

Teaching Machines to Converse


A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting

Turning a CLIP Model into a Scene Text Detector

MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining

Vision-Language Pre-Training for Boosting Scene Text Detectors

Scene Text Detection in Natural Images: A Review

ロボティクス・メカトロニクス講演会講演概要集

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection


PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

Dual Encoding for Zero-Example Video Retrieval

Visually Grounded Neural Syntax Acquisition

LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

On Metric Learning for Audio-Text Cross-Modal Retrieval

Efficient Neural Architecture for Text-to-Image Synthesis

Scones: Towards Conversational Authoring of Sketches

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2020

Upgrading the Newsroom: An Automated Image Selection System for News Articles

Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case


An elegant PyTorch offline reinforcement learning library for researchers.

MOPO: Model-based Offline Policy Optimization

Offline Reinforcement Learning with Implicit Q-Learning

COMBO: Conservative Offline Model-Based Policy Optimization

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Model-based Offline Reinforcement Learning with Count-based Conservatism

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning

International Conference on Machine Learning

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline
  Reinforcement Learning


[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Deep Residual Learning for Image Recognition

Going Deeper with Convolutions

Ocean: Object-aware Anchor-free Tracking

Scale Equivariance Improves Siamese Tracking


JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

A synergistic core for human brain evolution and cognition

A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Precursors-driven machine learning prediction of chaotic extreme pulses in Kerr resonators

Chaos, solitons & fractals/Chaos, solitons and fractals

Information Theory for Complex Systems Scientists

Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs


LaTeX source for the paper "On Evaluating Adversarial Robustness"

On Evaluating Adversarial Robustness

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks


A clear, concise, simple yet powerful and efficient API for deep learning.

Ray RLLib: A Composable and Scalable Reinforcement Learning Library

Diverse mini-batch Active Learning

Declarative Recursive Computation on an RDBMS

RLgraph: Modular Computation Graphs for Deep Reinforcement Learning


Unofficial PyTorch implementation of Google AI's VoiceFilter system

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network

Neural Target Speech Extraction: An overview

Multimodal Target Speech Separation with Voice and Face References


Target / Integrative Genetic Element Retriever: precisely maps IGEs (a defined type of genomic island) in bacterial and archaeal genomes; package also includes orthogonal program Islander

New candidates for regulated gene integrity revealed through precise mapping of integrative genetic elements

Precise mapping of new group I introns in tRNA genes


A data-driven, fast driving simulator for multi-agent coordination under partial observability.

Proximal Policy Optimization Algorithms

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games


ReMapEnrich is a R-software package to identify significantly enriched regions from ReMap catalogues or user defined catalogues. ReMapEnrich provide functions to import any in-house catalogue, automate and plot the enrichment analysis for genomic regions.

Sequential enhancer state remodelling defines human germline competence and specification

Survivin promotes a glycolytic switch in CD4+ T cells by suppressing the transcription of PFKFB3 in rheumatoid arthritis

Survivin prevents the polycomb repressor complex 2 from methylating histone 3 lysine 27

Short Interrupted Repeat Cassette (SIRC)—Novel Type of Repetitive DNA Element Found in Arabidopsis thaliana

International journal of molecular sciences


MUSE Python Data Analysis Framework

The MAGPI survey: Science goals, design, observing strategy, early results and theoretical framework

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

The morphology of the HD 163296 jet as a window on its planetary system

A spectacular jet from the bright 244–440 Orion proplyd: The MUSE NFM view


Chromatin contact paired-read single-cell Hi-C processing module for Nuc3D and NucTools

Calculation of 3D genome structures for comparison of chromosome conformation capture experiments with microscopy: An evaluation of single-cell Hi-C protocols

SCL: a lattice-based approach to infer 3D chromosome structures from single-cell Hi-C data

Live-cell three-dimensional single-molecule tracking reveals modulation of enhancer dynamics by NuRD


Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).

GraphHD: Efficient graph classification using hyperdimensional computing

Learning from Hypervectors: A Survey on Hypervector Encoding

HDCC: A Hyperdimensional Computing compiler for classification on
  embedded systems and high-performance computing


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


HBT+ subhalo finder and merger tree builder, the tool to get you out of mess and back to physics.

Hunting for galaxies and halos in simulations with VELOCIraptor

HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations.

Monthly Notices of the Royal Astronomical Society

The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment

Monthly notices of the Royal Astronomical Society

A natural boundary of dark matter haloes revealed around the minimum bias and maximum infall locations

Orbital Distribution of Infalling Satellite Halos across Cosmic Time

First measurement of the characteristic depletion radius of dark matter haloes from weak lensing

Halo Merger Tree Comparison: Impact on Galaxy Formation Models

A natural boundary of dark matter halo revealed at the minimum bias and maximum infall location.

The connection between halo concentrations and assembly histories: a probe of gravity?

Physical Evolution of Dark Matter Halo around the Depletion Boundary


This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust autoencoder.

Adversarial examples for generative models

Adversarial Manipulation of Deep Representations

ARAE: Adversarially robust training of autoencoders improves novelty detection


BASTA: The BAyesian STellar Algorithm

The BAyesian STellar Algorithm (BASTA): a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology

PLATO Hare-and-Hounds exercise: Asteroseismic model fitting of main-sequence solar-like pulsators

A close-in giant planet escapes engulfment by its star

Advanced asteroseismic modelling: breaking the degeneracy between stellar mass and initial helium abundance

Did Kepler-444 have a long-lived convective core?


Tensor Network Learning with PyTorch

Expressive power of recurrent neural networks

Tensor Methods in Computer Vision and Deep Learning

Tensor Train decomposition on TensorFlow (T3F)

Tensor Regression

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

tntorch: Tensor Network Learning with PyTorch


C++ Monte Carlo photoionization and radiation hydrodynamics code.

The Monte Carlo photoionization and moving-mesh radiation hydrodynamics code CMacIonize

Radiative transfer calculations of the diffuse ionized gas in disc galaxies with cosmic ray feedback

Massive star formation via torus accretion: the effect of photoionization feedback

Radiation hydrodynamics simulations of the evolution of the diffuse ionized gas in disc galaxies


HiDimStat: High-dimensional statistical inference tool for Python

Controlling the false discovery rate via knockoffs

Aggregation of Multiple Knockoffs

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

Decoding with confidence: Statistical control on decoder maps

Spatially relaxed inference on high-dimensional linear models


The redMaPPer Cluster Finder

Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing

Weak-lensing calibration of a stellar mass-based mass proxy for redMaPPer and Voronoi Tessellation clusters in SDSS Stripe 82

The outer stellar mass of massive galaxies: a simple tracer of halo mass with scatter comparable to richness and reduced projection effects


Python package for data handling and scenario generation of city districts

Automated urban energy system modeling and thermal building simulation based on OpenStreetMap data sets

Modellierung und Optimierung von Mischgebieten


the hierfstat package

Genetic diversity in the IZUMO1-JUNO protein-receptor pair involved in human reproduction

Using Genomic Selection to Leverage Resources among Breeding Programs: Consortium-Based Breeding

Systematics of the Stripetail Darter, Etheostoma kennicotti (Putnam), and the Distinctiveness of the Upper Cumberland Endemic Etheostoma cumberlandicum Jordan and Swain

Comparison of genetic variation between rare and common congeners of Dipodomys with estimates of contemporary and historical effective population size

Population genetic structure of the maize weevil, Sitophilus zeamais, in southern Mexico


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.

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

Aging is associated with a systemic length-associated transcriptome imbalance

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

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

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

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

Placental dysfunction influences fetal monocyte subpopulation gene expression in preterm birth

The HAPSTR2 retrogene buffers stress signaling and resilience in mammals

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


Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients using the stellar atmosphere spectrum library by Husser et al. (2013). Described in Parviainen & Aigrain, MNRAS 453, 3821–3826 (2015).

ldtk: Limb Darkening Toolkit

K2 Discovers a Busy Bee: An Unusual Transiting Neptune Found in the Beehive Cluster

Warm terrestrial planet with half the mass of Venus transiting a nearby star

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Multicolour photometry for exoplanet candidate validation

Potassium detection in the clear atmosphere of a hot-Jupiter. FORS2 transmission spectroscopy of WASP-17b

TWO SMALL TEMPERATE PLANETS TRANSITING NEARBY M DWARFS IN K2 CAMPAIGNS 0 AND 1

The GTC exoplanet transit spectroscopy survey - II. An overly large Rayleigh-like feature for exoplanet TrES-3b

MuSCAT2 multicolour validation of TESS candidates: an ultra-short-period substellar object around an M dwarf

Planetary Candidates from K2 Campaign 16


ProFit is a galaxy image bulge-disk decomposition program

ProFit : Bayesian profile fitting of galaxy images

The SAMI Galaxy Survey: Quenching of Star Formation in Clusters I. Transition Galaxies

Galaxy And Mass Assembly (GAMA): assimilation of KiDS into the GAMA database

Automated detectionof very low surface brightness galaxiesin the Virgo cluster

Star-forming, rotating spheroidal galaxies in the GAMA and SAMI surveys

Galaxy And Mass Assembly (GAMA): Bulge-disk decomposition of KiDS data
  in the nearby universe

Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z = 1

PEARLS: Low Stellar Density Galaxies in the El Gordo Cluster Observed with JWST


mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data

Use of Whole-Genome Sequencing for Mitochondrial Disease Diagnosis

Low disease risk and penetrance in Leber hereditary optic neuropathy


Reference implementations of MLPerf™ HPC training benchmarks

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems

Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System

Journal of advances in modeling earth systems


A set of deep learning models for FRB/RFI binary classification.

Faint Repetitions from a Bright Fast Radio Burst Source

FETCH: A deep-learning based classifier for fast transient classification

Extremely band-limited repetition from a fast radio burst source

Burst timescales and luminosities as links between young pulsars and fast radio bursts

Arecibo observations of a burst storm from FRB 20121102A in 2016

A Dual-band Radio Observation of FRB 121102 with the Deep Space Network and the Detection of Multiple Bursts

Multiwavelength Radio Observations of Two Repeating Fast Radio Burst Sources: FRB 121102 and FRB 180916.J0158+65

Comprehensive Analysis of a Dense Sample of FRB 121102 Bursts

Non-detection of fast radio bursts from six gamma-ray burst remnants with possible magnetar engines

A Deep Targeted Search for Fast Radio Bursts from the Sites of Low-redshift Short Gamma-Ray Bursts


VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.

Commonality despite exceptional diversity in the baseline human antibody repertoire

HIV Envelope Glycoform Heterogeneity and Localized Diversity Govern the Initiation and Maturation of a V2 Apex Broadly Neutralizing Antibody Lineage

Reprogramming the antigen specificity of B cells using genome-editing technologies

The journal of immunology/The Journal of immunology

Rapid and Focused Maturation of a VRC01-Class HIV Broadly Neutralizing Antibody Lineage Involves Both Binding and Accommodation of the N276-Glycan

Landscape of Non-canonical Cysteines in Human VH Repertoire Revealed by Immunogenetic Analysis

Epigenetic Enhancer Marks and Transcription Factor Binding Influence Vκ Gene Rearrangement in Pre-B Cells and Pro-B Cells

Systems Biology Methods Applied to Blood and Tissue for a Comprehensive Analysis of Immune Response to Hepatitis B Vaccine in Adults

Massively scalable genetic analysis of antibody repertoires


a data-driven method for determining stellar parameters and abundances from stellar spectra

Label Transfer from APOGEE to LAMOST: Precise Stellar Parameters for 450,000 LAMOST Giants

Masses and Ages for 230,000 LAMOST Giants, via Their Carbon and Nitrogen Abundances

Exploring the Stellar Age Distribution of the Milky Way Bulge Using APOGEE

Fundamental Parameters of ∼30,000 M dwarfs in LAMOST DR1 Using Data-driven Spectral Modeling


PyStokes: phoresis and Stokesian hydrodynamics in Python

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


Dreem One Shot Detector

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal

A deep learning architecture to detect events in EEG signals during
  sleep

AI vs Humans for the diagnosis of sleep apnea


Machine Learning - accelerated Bayesian inference

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Measurement of the CMB temperature power spectrum and constraints on cosmology from the SPT-3G 2018
TT
,
<mml:math xmlns:mml="http://www.


Python module for machine learning time series:

Seglearn: A Python Package for Learning Sequences and Time Series

Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning

Detecting Low Back Physiotherapy Exercises and Postures: Classifying Inertial Sensor Data with Machine Learning (Preprint)

Orthopaedic proceedings/Journal of bone and joint surgery. British volume. Orthopaedic proceedings


Challenge inputs, details, and results for the SAMPL6 series of challenges

Blind prediction of host–guest binding affinities: a new SAMPL3 challenge

Journal of computer-aided molecular design

The SAMPL4 host–guest blind prediction challenge: an overview

Overview of the SAMPL5 host–guest challenge: Are we doing better?

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

Cucurbit[8]uril Mediated Donor–Acceptor Ternary Complexes: A Model System for Studying Charge-Transfer Interactions

Overview of the SAMPL6 host-guest binding affinity prediction challenge

Nonmonotonic assembly of a deep-cavity cavitand.

Journal of the American Chemical Society

Binding of cyclic carboxylates to octa-acid deep-cavity cavitand

Assessing the accuracy of octanol–water partition coefficient predictions in the SAMPL6 Part II log P Challenge

A simple assay for quality binders to cucurbiturils.

Chemistry (Weinheim an der Bergstrasse, Germany)


Reinforcement learning algorithms in RLlib

When to Trust Your Model: Model-Based Policy Optimization

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling.

How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization


Syllable segmentation tool for Myanmar language (Burmese) by Ye.

UCSYNLP-Lab Machine Translation Systems for WAT 2019

Pacific Asia Conference on Language, Information, and Computation

Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition

International Conference on Intelligent Computing

Syllable-based Neural Named Entity Recognition for Myanmar Language

Zenodo (CERN European Organization for Nuclear Research)

NECTEC’s Participation in WAT-2021


SNV expectation maximisation based mutation calling algorithm aimed at detecting somatic mutations in paired (tumour/normal) cancer samples. Supports both bam and cram format via htslib

Prediction of acute myeloid leukaemia risk in healthy individuals

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Tobacco smoking and somatic mutations in human bronchial epithelium

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Somatic mutations reveal asymmetric cellular dynamics in the early human embryo

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

Clonal dynamics of haematopoiesis across the human lifespan

Life histories of myeloproliferative neoplasms inferred from phylogenies

Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer

Single cell derived mRNA signals across human kidney tumors


Clustering through Imputation and Dimensionality Reduction

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

CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data

Fast and precise single-cell data analysis using a hierarchical autoencoder

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections

Computational and structural biotechnology journal

Deep Learning in Single-Cell Analysis

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Imputation Methods for scRNA Sequencing Data


This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network

Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits

Attentive Temporal Pooling for Conformer-based Streaming Language
  Identification in Long-form Speech

Highly Efficient Real-Time Streaming and Fully On-Device Speaker
  Diarization with Multi-Stage Clustering

Augmenting Transformer-Transducer Based Speaker Change Detection With
  Token-Level Training Loss

Parameter-Free Attentive Scoring for Speaker Verification

DiarizationLM: Speaker Diarization Post-Processing with Large Language
  Models

Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary
  Network

USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained
  Foundation Models


Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data

Gromov-Wasserstein optimal transport to align single-cell multi-omics data

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and
  Costs


map elites python reference implementation

Quality Diversity for Multi-task Optimization

Genetic and Evolutionary Computation Conference

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

LLMatic: Neural Architecture Search via Large Language Models and
  Quality Diversity Optimization


Convolutions for Sequence Modeling

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Hyena Hierarchy: Towards Larger Convolutional Language Models

Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Zoology: Measuring and Improving Recall in Efficient Language Models

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting
  Computation in Superposition


Reinforcement learning algorithms for MuJoCo tasks

MOReL : Model-Based Offline Reinforcement Learning

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

VIP: Towards Universal Visual Reward and Representation via
  Value-Implicit Pre-Training

A Game Theoretic Framework for Model Based Reinforcement Learning

RRL: Resnet as representation for Reinforcement Learning


A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation

Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms

SoK: Benchmarking the Performance of a Quantum Computer

Hardware Architecture for a Quantum Computer Trusted Execution
  Environment


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


Annealing Knowledge Distillation

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding

When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation


Bidirectional Attention Flow for Machine Comprehension

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

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Ensemble learning-based approach for improving generalization capability of machine reading comprehension systems

Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization


MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Data Poisoning Won't Save You From Facial Recognition

QMagFace: Simple and Accurate Quality-Aware Face Recognition

Improving Federated Learning Face Recognition via Privacy-Agnostic
  Clusters

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models

Stating Comparison Score Uncertainty and Verification Decision
  Confidence Towards Transparent Face Recognition

Child Face Recognition at Scale: Synthetic Data Generation and
  Performance Benchmark


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

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


High-performance high-order finite element solver for hyperbolic conservation equations

Second-Order Invariant Domain Preserving Approximation of the Euler Equations Using Convex Limiting

Second-order invariant domain preserving approximation of the compressible Navier–Stokes equations

Computer methods in applied mechanics and engineering

Efficient Parallel 3D Computation of the Compressible Euler Equations with an Invariant-domain Preserving Second-order Finite-element Scheme

On the implementation of a robust and efficient finite element-based parallel solver for the compressible Navier-Stokes equations


Attention Is All You Need

Online Distilling from Checkpoints for Neural Machine Translation

North American Chapter of the Association for Computational Linguistics

Correct-and-Memorize: Learning to Translate from Interactive Revisions


Actuator line modeling extension library for OpenFOAM.

Implementation and application of the actuator line model by OpenFOAM for a vertical axis wind turbine

IOP conference series. Materials science and engineering


Edax reversi version 4.4 and above

Final Adaptation Reinforcement Learning for N-Player Games

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Lookahead Pathology in Monte-Carlo Tree Search


Comically fast Dota 2, CSGO and CS2 replay parser written in Java.

Win Prediction in Multiplayer Esports: Live Professional Match Prediction

What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours

PROCEEDINGS OF 3RD IEEE/ACM INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS, (DSAA 2016)

Time to Die: Death Prediction in Dota 2 using Deep Learning

Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player
  Online Battle Arena Games

Modeling Individual and Team Behavior through Spatio-temporal Analysis

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games

Sequential Item Recommendation in the MOBA Game Dota 2

Automatic Player Identification in Dota 2


tools for working with Bisulfite Sequencing data while preserving reads intrinsic dependencies

Tracing the Origin of Cell-Free DNA Molecules through Tissue-Specific Epigenetic Signatures

Comparative parallel multi-omics analysis during the induction of pluripotent and trophectoderm states

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment


A comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer), nanophotonics, RF device engineering, electrostatics, and more. Includes a core library with C++ and python APIs as well as many command-line applications.

Lasing in dark and bright modes of a finite-sized plasmonic lattice

Lasing at K Points of a Honeycomb Plasmonic Lattice.

Limits to surface-enhanced Raman scattering near arbitrary-shape scatterers

Local field enhancement: comparing self-similar and dimer nanoantennas

Accurate Truncations of Chain Mapping Models for Open Quantum Systems

Casimir interactions from multiple scatterings in dielectric media

The emergence of macroscopic currents in photoconductive sampling of optical fields

Electromagnetic Casimir energy of a disk opposite a plane

Quantum trapping and rotational self-alignment in triangular Casimir
  microcavities

Casimir and Casimir-Polder interactions for magneto-dielectric materials: Surface scattering expansion


A deep learning python package for neuroimaging data. Made by:

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

DeepNeuro: an open-source deep learning toolbox for neuroimaging

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


Deep Learning for 3D Point Clouds: A Survey

Fast-SCNN: Fast Semantic Segmentation Network

SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Deep Projective 3D Semantic Segmentation

SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation


A library for researching neural networks compression and acceleration methods.

Learning both Weights and Connections for Efficient Neural Networks

To prune, or not to prune: exploring the efficacy of pruning for model compression

Q8BERT: Quantized 8Bit BERT

Discovering Neural Wirings

Prune Once for All: Sparse Pre-Trained Language Models


Extract catalogs of sources from astronomical images

A Tidal Disruption Event Candidate Discovered in the Active Galactic Nucleus SDSS J022700.77-042020.6

The Gravity Collective: A Search for the Electromagnetic Counterpart to the Neutron Star–Black Hole Merger GW190814

High Confidence Optical Confirmations among the High Signal-to-noise Planck Cluster Candidates

ShapePipe: a new shape measurement pipeline and weak-lensing application
  to UNIONS/CFIS data

A Synthetic Roman Space Telescope High-Latitude Time-Domain Survey:
  Supernovae in the Deep Field

Weak-lensing detection of intracluster filaments in the Coma cluster


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

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

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


Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

Unsupervised Traffic Accident Detection in First-Person Videos

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Vision-Based Traffic Accident Detection and Anticipation: A Survey


Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

Unsupervised Domain Adaptation with Residual Transfer Networks

Deep Reinforcement Learning: An Overview

Domain Adaptation for Visual Applications: A Comprehensive Survey


[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

IEEE journal of biomedical and health informatics

Reinventing 2D Convolutions for 3D Medical Images

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training


An open-access benchmark and toolbox for electricity price forecasting

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

Neural networks in day-ahead electricity price forecasting: Single vs.
  multiple outputs

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting


Measuring Massive Multitask Language Understanding | ICLR 2021

Holistic Evaluation of Language Models

Atlas: Few-shot Learning with Retrieval Augmented Language Models

Aligning AI With Shared Human Values

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

Don't Make Your LLM an Evaluation Benchmark Cheater

Proving Test Set Contamination in Black Box Language Models

Large Language Models Are Not Robust Multiple Choice Selectors

OLMo: Accelerating the Science of Language Models

An In-depth Look at Gemini's Language Abilities


Federated Learning Utilities and Tools for Experimentation

Privacy-Preserving News Recommendation Model Learning

FLUTE: A Scalable, Extensible Framework for High-Performance Federated
  Learning Simulations

Federated Multilingual Models for Medical Transcript Analysis


A Satellite Time Series Dataset for Crop Type Identification

Crop mapping from image time series: deep learning with multi-scale label hierarchies

BreizhCrops: A Time Series Dataset for Crop Type Mapping

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

Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey

A systematic review of the use of Deep Learning in Satellite Imagery for
  Agriculture


Instruction Tuning for Large Language Models: A Survey

Self Information Update for Large Language Models through Mitigating
  Exposure Bias

Aya Dataset: An Open-Access Collection for Multilingual Instruction
  Tuning

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM
  Inference Pipeline

Safer-Instruct: Aligning Language Models with Automated Preference Data

Under the Surface: Tracking the Artifactuality of LLM-Generated Data

Datasets for Large Language Models: A Comprehensive Survey


[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Deep Reinforcement Learning at the Edge of the Statistical Precipice

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Mask-based Latent Reconstruction for Reinforcement Learning

Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL

Towards Disturbance-Free Visual Mobile Manipulation

False Correlation Reduction for Offline Reinforcement Learning

Rethinking Value Function Learning for Generalization in Reinforcement
  Learning

On Uncertainty in Deep State Space Models for Model-Based Reinforcement
  Learning


Visual Question Answering in Pytorch

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Hadamard Product for Low-rank Bilinear Pooling

Cycle-Consistency for Robust Visual Question Answering

A Question-Centric Model for Visual Question Answering in Medical Imaging


Evolution Strategies in JAX

evosax: JAX-based Evolution Strategies

Discovering Evolution Strategies via Meta-Black-Box Optimization

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization

B2Opt: Learning to Optimize Black-box Optimization with Little Budget

cmaes : A Simple yet Practical Python Library for CMA-ES


A curated list of awesome smartnic tutorials, papers and projects.

ClickNP: Highly Flexible and High Performance Network Processing with Reconfigurable Hardware

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION (SIGCOMM '16)

SoCC - UNO: uniflying host and smart NIC offload for flexible packet processing

LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism

Symposium on Operating Systems Principles

The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications

SOSP - Xenic: SmartNIC-Accelerated Distributed Transactions

Automated SmartNIC Offloading Insights for Network Functions

Autonomous NIC offloads

International Conference on Architectural Support for Programming Languages and Operating Systems

A Case for SmartNIC-accelerated Private Communication

PROCEEDINGS OF 2020 4TH ASIA-PACIFIC WORKSHOP ON NETWORKING, APNET 2020

Accelerating Flow Processing Middleboxes with Programmable NICs

Exploring Mellanox Bluefield SmartNICs as Accelerators for Heterogeneous Architectures


Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

Large Language Models for Code: Security Hardening and Adversarial Testing

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review

Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

ReduKtor: How We Stopped Worrying About Bugs in Kotlin Compiler

Classification of Documents Extracted from Images with Optical Character Recognition Methods

Wordflow: Social Prompt Engineering for Large Language Models

GeomDiff — an algorithm for differential geospatial vector data comparison

Open geospatial data, software and standards


Kraken taxonomic sequence classification system

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Algorithms and strategies in short-read shotgun metagenomic reconstruction of plant communities

Re-analysis of metagenomic sequences from acute flaccid myelitis patients reveals alternatives to enterovirus D68 infection

Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014-15 influenza season

The evolutionary mechanism of non-carbapenemase carbapenem-resistant phenotypes in Klebsiella spp


Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Analyzing the Role of Model Uncertainty for Electronic Health Records

Proceedings of the ACM Conference on Health, Inference, and Learning

Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes

BEDS-Bench: Behavior of EHR-models under Distributional Shift--A
  Benchmark


Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Learning Transferable Cooperative Behavior in Multi-Agent Teams

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values

A New Framework for Multi-Agent Reinforcement Learning -- Centralized
  Training and Exploration with Decentralized Execution via Policy Distillation

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Multi-agent reinforcement learning with approximate model learning for competitive games

Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.


MRI brain extraction tool

Automated brain extraction of multisequence MRI using artificial neural networks

Accurate brain‐age models for routine clinical MRI examinations

Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.


An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Developmental Perspective on Executive Function

What is consciousness, and could machines have it?

The seven tools of causal inference, with reflections on machine learning

Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power

Integrated Task and Motion Planning

Two-Lines: A Valid Alternative to the Invalid Testing of U-Shaped Relationships with Quadratic Regressions

The AHA! Experience: Creativity Through Emergent Binding in Neural Networks

Rethinking Executive Function and Its Development

Perspectives on psychological science : a journal of the Association for Psychological Science

The Interactive Evolution of Human Communication Systems

Childhood as a solution to explore–exploit tensions

Philosophical transactions of the Royal Society of London. Series B, Biological sciences


cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning

IEEE transactions on information forensics and security

Secure Aggregation for Federated Learning in Flower

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop


Open Network Operating System

A Survey on Data Plane Programming with P4: Fundamentals, Advances, and
  Applied Research

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

QoS improvement with an optimum controller selection for software-defined networks

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

Reliable optical networks with ODTN, resiliency and failover in data plane and control plane

Zenodo (CERN European Organization for Nuclear Research)

Checking-in on network functions


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


Scanomatic

Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale

A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance

Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation

Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis


TN93 fast distance calculator

Using HIV Networks to Inform Real Time Prevention Interventions

The emergence and ongoing convergent evolution of the SARS-CoV-2 N501Y lineages

Selection Analysis Identifies Clusters of Unusual Mutational Changes in Omicron Lineage BA.1 That Likely Impact Spike Function

bioRxiv : the preprint server for biology

Early Antiretroviral Therapy Is Associated with Lower HIV DNA Molecular Diversity and Lower Inflammation in Cerebrospinal Fluid but Does Not Prevent the Establishment of Compartmentalized HIV DNA Populations

Compartmentalized HIV rebound in the central nervous system after interruption of antiretroviral therapy

SARS-CoV-2 genomes from Saudi Arabia implicate nucleocapsid mutations in host response and increased viral load

Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions

Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection

Deep-sequence phylogenetics to quantify patterns of HIV transmission in the context of a universal testing and treatment trial – BCPP/Ya Tsie trial

RASCL: Rapid Assessment of Selection in CLades through molecular sequence analysis


Credici: Credal Inference for Causal Inference

Structural Causal Models Are (Solvable by) Credal Networks

Approximating counterfactual bounds while fusing observational, biased and randomised data sources

Tractable Bounding of Counterfactual Queries by Knowledge Compilation

Learning to Bound Counterfactual Inference from Observational, Biased
  and Randomised Data


An open source and free tool to export terrain elevation, landuse, and georeferencing to NIST FDS for computational fluid dynamics (CFD) wildfire or atmospheric pollutants dispersion simulations.


Parametric component separation for Cosmic Microwave Background observations

Measuring the spectrum of primordial gravitational waves with CMB, PTA and laser interferometers

Journal of Cosmology and Astroparticle Physics

Probing cosmic inflation with theLiteBIRDcosmic microwave background polarization survey

Progress of theoretical and experimental physics

The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes

Principal component analysis of the primordial tensor power spectrum

Foreground model recognition through Neural Networks for CMB B-mode observations

Journal of cosmology and astroparticle physics

The Simons Observatory: Galactic Science Goals and Forecasts

Requirements for future CMB satellite missions: photometric and band-pass response calibration

Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations

Characterizing cosmic birefringence in the presence of Galactic foregrounds and instrumental systematic effects


Extension of tensorflow with additional operators, optimizers,... used at ICG.

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

On learning optimized reaction diffusion processes for effective image restoration

Deep, Deep Learning with BART


CRU CL v. 2.0 Climatology Client for R


Maximum Entropy Codes

TRIQS/SOM: Implementation of the stochastic optimization method for analytic continuation

Wave functions, electronic localization, and bonding properties for correlated materials beyond the Kohn-Sham formalism

Comparing the effective enhancement of local and nonlocal spin-orbit couplings on honeycomb lattices due to strong electronic correlations

Charge disproportionation and Hund's insulating behavior in a five-orbital Hubbard model applicable to d^4 perovskites

Training biases in machine learning for the analytic continuation of quantum many-body Green's functions


Pafish is a testing tool that uses different techniques to detect virtual machines and malware analysis environments in the same way that malware families do

Systematic Approach to Malware Analysis (SAMA)

Sisyfos: A Modular and Extendable Open Malware Analysis Platform

Longitudinal Study of the Prevalence of Malware Evasive Techniques

Python and Malware: Developing Stealth and Evasive Malware without Obfuscation

HyperDbg: Reinventing Hardware-Assisted Debugging

Avast-CTU Public CAPE Dataset


Capacity Expansion Problem Formulation for Julia

On representation of temporal variability in electricity capacity planning models

CapacityExpansion: A capacity expansion modeling framework in Julia


XRay Estimation and Refinement Using Similarity (XERUS)

GSAS-II: the genesis of a modern open-source all purpose crystallography software package

Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries

Automated crystal structure analysis based on blackbox optimisation

XERUS: An Open‐Source Tool for Quick XRD Phase Identification and Refinement Automation


Python code for Biased tracers in redshift space

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

Limits on wCDM from the EFTofLSS with the PyBird code

Early modified gravity in light of the H_0 tension and LSS data

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

Dark sector to restore cosmological concordance

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures

Consistency of effective field theory analyses of the BOSS power spectrum

BOSS full-shape analysis from the EFTofLSS with exact time dependence

Cosmological inference from the EFTofLSS: the eBOSS QSO full-shape analysis


Simulation of detector networks with Fisher-matrix PE

Perspectives for multimessenger astronomy with the next generation of gravitational-wave detectors and high-energy satellites

gwfish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks

Pre-merger alert to detect prompt emission in very-high-energy gamma-rays from binary neutron star mergers: Einstein Telescope and Cherenkov Telescope Array synergy


ANNOgesic - A Swiss army knife for the RNA-Seq based annotation of bacterial/archaeal genomes

ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes

Identification of BvgA-Dependent and BvgA-Independent Small RNAs (sRNAs) in Bordetella pertussis Using the Prokaryotic sRNA Prediction Toolkit ANNOgesic


The GYRE Stellar Oscillation Code

On the Impact of 22Ne on the Pulsation Periods of Carbon–Oxygen White Dwarfs with Helium-dominated Atmospheres

A calibration point for stellar evolution from massive star asteroseismology

On asymmetric dark matter constraints from the asteroseismology of a subgiant star

Monthly notices of the Royal Astronomical Society

Improved asymptotic expressions for the eigenvalues of Laplace’s tidal equations

Monthly Notices of the Royal Astronomical Society

Seismic Signatures of the 12C(α, γ)16O Reaction Rate in White Dwarf Models with Overshooting


This bartender version could handle arbitrary length of barcode

A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks

Bartender: an ultrafast and accurate clustering algorithm to count barcode and amplicon reads


OLD MATLAB version of CLIMADA phased out --> PLEASE USE https://github.com/CLIMADA-project/climada_python

Comparing the cost effectiveness of nature-based and coastal adaptation: A case study from the Gulf Coast of the United States

A global historical data set of tropical cyclone exposure (TCE-DAT)

COASTAL RISKS, NATURE-BASED DEFENSES AND THE ECONOMICS OF ADAPTATION: AN APPLICATION IN THE GULF OF MEXICO, USA

Proceedings of Conference on Coastal Engineering/Proceedings of ... Conference on Coastal Engineering

CLIMADA - the open-source and -access global probabilistic risk modelling platform


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


library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

An Empirical Study of Rich Subgroup Fairness for Machine Learning

Ensuring Fairness Beyond the Training Data

Genetic programming approaches to learning fair classifiers

Genetic and Evolutionary Computation Conference

Locating disparities in machine learning

Auditing Predictive Models for Intersectional Biases


DCC uses output from the STAR read mapper to systematically detect back-splice junctions in next-generation sequencing data. DCC applies a series of filters and integrates data across replicate sets to arrive at a precise list of circRNA candidates.

An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations

Global accumulation of circRNAs during aging in Caenorhabditis elegans

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

NOVA2 regulates neural circRNA biogenesis

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

circUSP42 Is Downregulated in Triple-Negative Breast Cancer and Associated With Poor Prognosis

Technology in cancer research & treatment

Reverse complementary matches simultaneously promote both back-splicing and exon-skipping

Computational approaches for circRNAs prediction and in silico characterization

circPLIN2 promotes clear cell renal cell carcinoma progression by binding IGF2BP proteins and miR-199a-3p