PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Investigating Why Contrastive Learning Benefits Robustness Against Label Noise

Extending Contrastive Learning to Unsupervised Coreset Selection

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

Simple Disentanglement of Style and Content in Visual Representations


ProSPr: Protein Structure Prediction

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

The whole is greater than its parts: ensembling improves protein contact prediction

Evaluation of Deep Neural Network ProSPr for Accurate Protein Distance Predictions on CASP14 Targets

Accelerating Antimicrobial Peptide Discovery with Latent Structure


MGARD: MultiGrid Adaptive Reduction of Data

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Scalable Hybrid Learning Techniques for Scientific Data Compression

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs


Pipeline for Analysing Lesions after Stroke (PALS) is a scalable and user-friendly toolbox designed to facilitate standardised analysis and ensure quality in stroke research using T1-weighted MRIs

ENIGMA and Global Neuroscience: A Decade of Large-Scale Studies of the Brain in Health and Disease Across More Than 40 Countries

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data

Pipeline for Analyzing Lesions After Stroke (PALS)

Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center


Property fuzzing for OCaml

Coverage guided, property based testing

Proceedings of the ACM on Programming Languages

FormatFuzzer: Effective Fuzzing of Binary File Formats

Random testing of a higher-order blockchain language (experience report)

Proceedings of the ACM on programming languages

Covering All the Bases: Type-Based Verification of Test Input Generators


Wind Energy with Integrated Servo-controls Toolset

Land-based wind turbines with flexible rail transportable blades – Part I: Conceptual design and aeroservoelastic performance


A high-performance DNS stub resolver for bulk lookups and reconnaissance (subdomain enumeration)

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Why E.T. Can't Phone Home: A Global View on IP-based Geoblocking at
  VoWiFi

Diffie-Hellman Picture Show: Key Exchange Stories from Commercial VoWiFi
  Deployments


Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

A Generalist Agent

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Multi-Task Reinforcement Learning with Context-based Representations

Reinforcement Learning with Action-Free Pre-Training from Videos

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

Meta-learning curiosity algorithms

How to Leverage Unlabeled Data in Offline Reinforcement Learning

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

Deep Reinforcement Learning


Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation

Characterizing Cryptocurrency Exchange Scams

Detecting Phishing Sites Using ChatGPT

Ethereum Name Service: the Good, the Bad, and the Ugly

Large-Scale Analysis of Pop-Up Scam on Typosquatting URLs

Proceedings of the 14th International Conference on Availability, Reliability and Security

An Evasion Attack against ML-based Phishing URL Detectors.

PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks

International Conference on Communications, Computing, Cybersecurity, and Informatics

PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names

Asia-Pacific Computer Systems Architecture Conference

Influences of Human Demographics, Brand Familiarity and Security Backgrounds on Homograph Recognition

An AI-based, Multi-stage detection system of banking botnets

Typosquatting for Fun and Profit: Cross-Country Analysis of Pop-Up Scam


Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Attention Is All You Need

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Going Deeper with Convolutions

Densely Connected Convolutional Networks

SSD: Single Shot MultiBox Detector


Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

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

Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting


MUM&Co is a simple bash script that uses Whole Genome Alignment information provided by MUMmer (only v4) to detect Structural Variation

MUM&Co: accurate detection of all SV types through whole-genome alignment

Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Molecular profiling of beer wort fermentation diversity across natural Saccharomyces eubayanus isolates


An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

What Your DRAM Power Models Are Not Telling You

EVA^2: Exploiting Temporal Redundancy in Live Computer Vision

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training

LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms

Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks

FPRaker: A Processing Element For Accelerating Neural Network Training

Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute.

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training


EANN: event-adversarial neural networks for multi-modal fake news detection

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detecting fake news by exploring the consistency of multimodal data

Multimodal Emergent Fake News Detection via Meta Neural Process Networks

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

Fact-Enhanced Synthetic News Generation

GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media


Investigating Capsule Networks with Dynamic Routing for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Fast Dynamic Routing Based on Weighted Kernel Density Estimation


Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations

Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models


This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Hindsight Experience Replay

Policy Architectures for Compositional Generalization in Control

Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks

Bilinear value networks

Adaptive Multi-Goal Exploration


Initial public release of code, data, and model weights for FourCastNet

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

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

Uncertainty quantification for data-driven weather models

Verification against in-situ observations for Data-Driven Weather Prediction

FourCastNeXt: Optimizing FourCastNet Training for Limited Compute

Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning

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


Auto-encoding & Generating 3D  Point-Clouds.

Learning Representations and Generative Models for 3D Point Clouds

LION: Latent Point Diffusion Models for 3D Shape Generation

Learning Gradient Fields for Shape Generation

Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

Deep Learning on Implicit Neural Representations of Shapes


Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning

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

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

QA-NatVer: Question Answering for Natural Logic-based Fact Verification


Spitfire is a Python/C++ library for constructing tabulated chemistry models and solving differential equations.

Cost function for low-dimensional manifold topology assessment

Local manifold learning and its link to domain-based physics knowledge


mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer

LMPriors: Pre-Trained Language Models as Task-Specific Priors

Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole‐brain modeling

Alzheimer's & dementia : the journal of the Alzheimer's Association

Radiomic analysis for early differentiation of lung cancer recurrence from fibrosis in patients treated with lung stereotactic ablative radiotherapy

A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity

A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19

Multiomics Blood-Based Biomarkers Predict Alzheimer’s Predementia with High Specificity in a Multicentric Cohort Study

The journal of prevention of Alzheimer's disease

Multiset multicover methods for discriminative marker selection


[Inactive] High quality stemmer library for Indonesian Language (Bahasa)

Classification of hadith into positive suggestion, negative suggestion, and information

Text Mining an Automatic Short Answer Grading (ASAG), Comparison of Three Methods of Cosine Similarity, Jaccard Similarity and Dice's Coefficient

Comparison of Effectiveness of Stemming Algorithms in Indonesian Documents

Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)

Topic Modeling of Online Media News Titles during COVID-19 Emergency Response in Indonesia Using the Latent Dirichlet Allocation (LDA) Algorithm

Analisis Sentimen Masyarakat Dengan Metode Naïve Bayes dan Particle Swarm Optimization

Analisis Sentimen Tentang Mobil Listrik Dengan Metode Support Vector Machine Dan Feature Selection Particle Swarm Optimization

Hybrid Nearest Neighbors Ant Colony Optimization for Clustering Social Media Comments

Pengaruh Semantic Expansion pada Naïve Bayes Classifier untuk Analisis Sentimen Tokoh Masyarakat

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Comparative study of standalone classifier and ensemble classifier

TELKOMNIKA (Telecommunication Computing Electronics and Control)


An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

Learning to Shape Rewards Using a Game of Two Partners

Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning

RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario

A Survey of Imitation Learning Methods, Environments and Metrics

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation


Repository for the R-package lmerTest

A brief introduction to mixed effects modelling and multi-model inference in ecology

Root and shoot variation in relation to potential intermittent drought adaptation of Mesoamerican wild common bean (Phaseolus vulgaris L.)

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Biopore-Induced Deep Root Traits of Two Winter Crops

Urbanization mediates the effects of water quality and climate on a model aerial insectivorous bird

Rice Bran Makes a Healthy and Tasty Traditional Indonesian Goat Meatball, ‘Bakso’

Elucidating the Local Transmission Dynamics of Highly Pathogenic Avian Influenza H5N6 in the Republic of Korea by Integrating Phylogenetic Information

The Role of Surface and Underlying Forms When Processing Tonal Alternations in Mandarin Chinese: A Mismatch Negativity Study

Segmental and suprasegmental encoding of speaker confidence in Wuxi dialect vowels

Dissociable contributions of the hippocampus and orbitofrontal cortex to representing task space in a social context


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

Efficient CRISPR/Cas9 mutagenesis for neurobehavioral screening in adult zebrafish

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

Comparative transcriptome and metabolome analyses identified the mode of sucrose degradation as a metabolic marker for early vegetative propagation in bulbs of Lycoris

The Plant journal : for cell and molecular biology


Cosmo is a fast, low-memory DNA assembler using a Succinct (variable order) de Bruijn Graph.

Variable-Order de Bruijn Graphs

Rainbowfish: A Succinct Colored de Bruijn Graph Representation

Building large updatable colored de Bruijn graphs via merging

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

Simulating the DNA String Graph in Succinct Space


pyltp: the python extension for LTP

Crafting Adversarial Examples for Neural Machine Translation

Meeting of the Association for Computational Linguistics

Neural Multitask Learning for Simile Recognition

Empirical Methods in Natural Language Processing

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization

International Joint Conference on Natural Language Processing

Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection

Multi-task Learning for Chinese Word Usage Errors Detection


Panoramic stitching of single cell data

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations

Computational methods for the integrative analysis of single-cell data

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

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

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


DeepSeek LLM: Let there be answers

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Instruction-Following Evaluation for Large Language Models

Rho-1: Not All Tokens Are What You Need

Interactive Evolution: A Neural-Symbolic Self-Training Framework For
  Large Language Models


A code to fit the spectrum of quasar

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

Zenodo (CERN European Organization for Nuclear Research)

The Central Engines of Fermi Blazars

The correlations between optical/UV broad lines and X-ray emission for a large sample of quasars

Monthly Notices of the Royal Astronomical Society

Probing the Nature of High-redshift Weak Emission Line Quasars: A Young Quasar with a Starburst Host Galaxy

Discovery of an Mg II Changing-look Active Galactic Nucleus and Its Implications for a Unification Sequence of Changing-look Active Galactic Nuclei

The frequency of extreme X-ray variability for radio-quiet quasars

Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields

Fundamental differences in the properties of red and blue quasars: measuring the reddening and accretion properties with X-shooter

Monthly notices of the Royal Astronomical Society

Active Galactic Nucleus Pairs from the Sloan Digital Sky Survey. III. Chandra X-Ray Observations Unveil Obscured Double Nuclei

SkyMapper colours of Seyfert galaxies and changing-look AGN – II. Newly discovered changing-look AGN


A modular PyTorch library for vision transformer models

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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

CvT: Introducing Convolutions to Vision Transformers

ViViT: A Video Vision Transformer

Vision Transformers for Dense Prediction

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Visformer: The Vision-friendly Transformer


This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second


Parallel tempering MCMC sampler package written in Python

The NANOGrav 11-year Data Set: High-precision Timing of 45 Millisecond Pulsars

The Astrophysical Journal Supplement Series

The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

THE NANOGRAV NINE-YEAR DATA SET: LIMITS ON THE ISOTROPIC STOCHASTIC GRAVITATIONAL WAVE BACKGROUND

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: Inferences in the stochastic gravitational-wave background search

Pulsar Timing Array Constraints on Primordial Black Holes with NANOGrav 11-Year Dataset

The NANOGrav 11 yr Data Set: Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries

Modeling the Uncertainties of Solar System Ephemerides for Robust Gravitational-wave Searches with Pulsar-timing Arrays

Constraining Cosmological Phase Transitions with the Parkes Pulsar Timing Array

Constraints on the Dynamical Environments of Supermassive Black-Hole Binaries Using Pulsar-Timing Arrays.

DETECTING ECCENTRIC SUPERMASSIVE BLACK HOLE BINARIES WITH PULSAR TIMING ARRAYS: RESOLVABLE SOURCE STRATEGIES


Automated 3D brain registration with support for multiple species and atlases.

aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data

Behavioral origin of sound-evoked activity in mouse visual cortex

BrainGlobe Atlas API: a common interface for neuroanatomical atlases

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Tools for accurate post hoc determination of marker location within whole-brain microscopy images


extract TEC, vTEC, Earthmagnetic field and Rotation Measures from GPS and WMM data for radio interferometry observations

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

The effect of the ionosphere on ultra-low-frequency radio-interferometric observations

The Challenges of Low-Frequency Radio Polarimetry: Lessons from the Murchison Widefield Array

Publications of the Astronomical Society of Australia

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

The intergalactic magnetic field probed by a giant radio galaxy

154 MHz Detection of Faint, Polarized Flares from UV Ceti

Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog

The POlarised GLEAM Survey (POGS) I: First results from a low-frequency radio linear polarisation survey of the southern sky


MRH's research code

Multiconfigurational Self-Consistent Field Theory with Density Matrix Embedding: The Localized Active Space Self-Consistent Field Method

Journal of chemical theory and computation

Variational Localized Active Space Self-Consistent Field Method

Quantum-classical hybrid algorithm for the simulation of all-electron correlation.

Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection

State preparation in quantum algorithms for fragment-based quantum chemistry

Localized Quantum Chemistry on Quantum Computers

Automatic State Interaction with Large Localized Active Spaces for Multimetallic Systems


A minimalist tree plotting library using toyplot graphs

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Feasibility and clinical utility of local rapid Nanopore influenza A virus whole genome sequencing for integrated outbreak management, genotypic resistance detection and timely surveillance

Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance


PyTorch implementation of FastSurferCNN

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI

FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability

A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.

Generalizability of treatment outcome prediction in major depressive disorder using structural MRI: A NeuroPharm study

Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment


ASIC and FPGA miner in c for bitcoin

Diversification Across Mining Pools: Optimal Mining Strategies under PoW

Deep Differentiable Logic Gate Networks

Bitcoin Mining Decentralization via Cost Analysis

Implementation of an Efficient, Portable and Platform-Agnostic Cryptocurrency Mining Algorithm for Internet of Things Devices


DSMR-telegram reader & data visualizer for hobbyists. Free for non-commercial use.


Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)

Observed patterns of surface solar irradiance under cloudy and clear‐sky conditions


UAParser.js - The Essential Web Development Tool for User-Agent Detection

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties

Dependency Update Strategies and Package Characteristics

Are Your Dependencies Code Reviewed?: Measuring Code Review Coverage in Dependency Updates

Lessons from the Long Tail: Analysing Unsafe Dependency Updates across Software Ecosystems


flow-merge is a powerful Python library that enables seamless merging of multiple transformer-based language models using the most popular merge methods such as model soups, SLERP, ties-MERGING or DARE.

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Editing Models with Task Arithmetic

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

TIES-Merging: Resolving Interference When Merging Models


See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks

IEEE transactions on pattern analysis and machine intelligence

Temporally Coherent Person Matting Trained on Fake-Motion Dataset


Generative Adversarial Text to Image Synthesis

Image Generation from Scene Graphs

Fashion-Gen: The Generative Fashion Dataset and Challenge

Generating Multiple Objects at Spatially Distinct Locations

Visual-Relation Conscious Image Generation from Structured-Text

FairyTailor: A Multimodal Generative Framework for Storytelling


A simple and effective method for detecting out-of-distribution images in neural networks.

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Classification-Reconstruction Learning for Open-Set Recognition

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

Multiscale Score Matching for Out-of-Distribution Detection

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

IEEE transactions on neural networks and learning systems

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

READ: Aggregating Reconstruction Error into Out-of-distribution Detection

Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection


AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

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

IEEE Transactions on Intelligent Transportation Systems

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

Graph Neural Networks for Intelligent Transportation Systems: A Survey

A Comprehensive Survey on Traffic Prediction.

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Graph Neural Rough Differential Equations for Traffic Forecasting

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Revealing the Power of Masked Autoencoders in Traffic Forecasting


BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

DiffuRec: A Diffusion Model for Sequential Recommendation

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

Proceedings of the 17th ACM Conference on Recommender Systems

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?


Seeking information like heteroplasmy, structure variants, etc. on  Mitochondrial genome from next generation sequencing

mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud

MitoSeek: extracting mitochondria information and performing high-throughput mitochondria sequencing analysis

“Mitochondrial Toolbox” – A Review of Online Resources to Explore Mitochondrial Genomics


Mass-editing thousands of facts into a transformer memory (ICLR 2023)

Mass-Editing Memory in a Transformer

Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark

Model Editing at Scale leads to Gradual and Catastrophic Forgetting

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

AKEW: Assessing Knowledge Editing in the Wild

See the Unseen: Better Context-Consistent Knowledge-Editing by Noises

Perturbation-Restrained Sequential Model Editing

Empirical Study on Updating Key-Value Memories in Transformer
  Feed-forward Layers

Neighboring Perturbations of Knowledge Editing on Large Language Models


ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Robust Test-Time Adaptation in Dynamic Scenarios

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

Test-time Batch Statistics Calibration for Covariate Shift

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

DELTA: degradation-free fully test-time adaptation


Subpopulation detection in high-dimensional single-cell data

Baricitinib treatment resolves lower-airway macrophage inflammation and neutrophil recruitment in SARS-CoV-2-infected rhesus macaques

Multiple site place-of-care manufactured anti-CD19 CAR-T cells induce high remission rates in B-cell malignancy patients

Single-cell transcriptomic analysis of mIHC images via antigen mapping

The immune landscape of human thymic epithelial tumors

Baricitinib treatment resolves lower airway inflammation and neutrophil recruitment in SARS-CoV-2-infected rhesus macaques

bioRxiv : the preprint server for biology

Applications of community detection algorithms to large biological datasets

SCHNEL: Scalable clustering of high dimensional single-cell data


Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Deep Reinforcement Learning: An Overview

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies

Importance Weighted Evolution Strategies


Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


An MDN Layer for Keras using TensorFlow's distributions module

Generating Sequences With Recurrent Neural Networks

A Neural Representation of Sketch Drawings

Mixture models for photometric redshifts

Predicting Distributions of Waiting Times in Customer Service Systems using Mixture Density Networks

Toward Constraining Mars' Thermal Evolution Using Machine Learning

Marginally calibrated response distributions for end-to-end learning in autonomous driving


dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

DynamicGEM: A Library for Dynamic Graph Embedding Methods

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Dynamic Graph Representation Learning via Graph Transformer Networks

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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


Code for fine-tuning Platypus fam LLMs using LoRA

LoRA: Low-Rank Adaptation of Large Language Models

Platypus: Quick, Cheap, and Powerful Refinement of LLMs


A framework to learn cross-lingual word embedding mappings

Unsupervised Neural Machine Translation

A Survey Of Cross-lingual Word Embedding Models

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Empirical Methods in Natural Language Processing

Unsupervised Statistical Machine Translation

Probing Pretrained Language Models for Lexical Semantics

An Effective Approach to Unsupervised Machine Translation

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach


Convolutional neural network analysis for predicting DNA sequence activity.

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Predicting the impact of non-coding variants on DNA methylation

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal


AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges

Unprocessing Images for Learned Raw Denoising

CycleISP: Real Image Restoration via Improved Data Synthesis

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Perceptual Image Enhancement for Smartphone Real-Time Applications

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report

Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices

Efficient Multi-Lens Bokeh Effect Rendering and Transformation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

BSRAW: Improving Blind RAW Image Super-Resolution


Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects

Ghost on the Shell: An Expressive Representation of General 3D Shapes


power spectrum and window function estimation

DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

A Multi-tracer Analysis for the eBOSS galaxy sample based on the Effective Field Theory of Large-scale Structure

The DESI One-Percent Survey: Modelling the clustering and halo occupation of all four DESI tracers with Uchuu

Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024

HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Validating the Galaxy and Quasar Catalog-Level Blinding Scheme for the
  DESI 2024 analysis

ELG Spectroscopic Systematics Analysis of the DESI Data Release 1


ACL 2022: Sequence-to-Sequence Knowledge Graph Completion and Question Answering (KGT5)

Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction


Implementation of the HotStuff consensus protocol.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets

Be Aware of Your Leaders

Motorway: Seamless high speed BFT

Performance of EdDSA and BLS Signatures in Committee-Based Consensus


Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Scene Consistency Representation Learning for Video Scene Segmentation

Boundary-aware Self-supervised Learning for Video Scene Segmentation


S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics


Forest fire history analysis in R.


:deciduous_tree: Create a tree using Mash distances

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Genetic diversity and characteristics of high-level tigecycline resistance Tet(X) in Acinetobacter species

When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data

Immunosuppression broadens evolutionary pathways to drug resistance and treatment failure during Acinetobacter baumannii pneumonia in mice

Isolation and Characterisation of Bacteriophage Selective for Key Acinetobacter baumannii Capsule Chemotypes

Whole genome sequence of Vibrio cholerae directly from dried spotted filter paper

Fine-scale differentiation between Bacillus anthracis and Bacillus cereus group signatures in metagenome shotgun data

EnteropathogenicProvidencia alcalifaciens: A subgroup ofP. alcalifaciensthat causes diarrhea

Detection of maternal transmission of resistant Gram-negative bacteria in a Cambodian hospital setting


A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

EfficientDet: Scalable and Efficient Object Detection

High-Performance Large-Scale Image Recognition Without Normalization

Waste detection in Pomerania: non-profit project for detecting waste in environment

An Efficient and Scalable Deep Learning Approach for Road Damage Detection

Conformal Prediction Sets with Limited False Positives

Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context

Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models

Wavelet Feature Maps Compression for Image-to-Image CNNs

GAN-based generative modelling for dermatological applications -- comparative study

A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology


fast phage annotation program

A hybrid and poly-polish workflow for the complete and accurate assembly of phage genomes: a case study of ten przondoviruses

Predicting stop codon reassignment improves functional annotation of bacteriophages

Successful phage-antibiotic therapy of P. aeruginosa implant-associated infection in a Siamese cat

Driving through stop signs: predicting stop codon reassignment improves functional annotation of bacteriophages


Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

Projected GANs Converge Faster

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

Few-shot Image Generation with Mixup-based Distance Learning

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

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

Smoothing the Generative Latent Space with Mixup-based Distance Learning

Improving the Effectiveness of Deep Generative Data


Fast, lightweight graphset operation library

Semantic Probabilistic Layers for Neuro-Symbolic Learning

DenseZDD: A Compact and Fast Index for Families of Sets

Dynamic traffic resources allocation under elastic demand of users with space-time prism constraints

International Competition on Graph Counting Algorithms 2023


Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Location reference recognition from texts: A survey and comparison

Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts

A Multilingual Evaluation of NER Robustness to Adversarial Inputs


A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Deep Learning for Anomaly Detection: A Survey

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

A review on outlier/anomaly detection in time series data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version

A Survey on Time-Series Pre-Trained Models

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

AER: Auto-Encoder with Regression for Time Series Anomaly Detection


Firmware for LibreSolar BMS boards based on bq769x0, bq769x2 or ISL94202


Full-Stack OpenFlow Framework in Ruby

SDN Controllers: Benchmarking & Performance Evaluation

Software-Defined Networking: A Comprehensive Survey

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

Software-Defined Networking: Categories, Analysis, and Future Directions

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

Elastic and Adaptive Resource Orchestration Architecture on 3-Tier Network Virtualization Model

IEICE Transactions on Information and Systems


PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language

NeMo: a toolkit for building AI applications using Neural Modules

Leveraging Medical Visual Question Answering with Supporting Facts

PyTorchPipe: a framework for rapid prototyping of pipelines combining language and vision


Statistical comparison of two networks with respect to three invariance measures

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

The application of a network approach to Health-Related Quality of Life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation

How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population

Anti-roma Bias (Stereotypes, Prejudice, Behavioral Tendencies): A Network Approach Toward Attitude Strength

The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF)

Outcome measurement in mental health services: insights from symptom networks


DTW (Dynamic Time Warping) python module

Data-driven unsupervised clustering of online learner behaviour

Mapping Paddy Rice Using Weakly Supervised Long Short-Term Memory Network with Time Series Sentinel Optical and SAR Images

ECG Adapted Fastest Route Algorithm to Localize the Ectopic Excitation Origin in CRT Patients

EyeTAP: Introducing a multimodal gaze-based technique using voice inputs with a comparative analysis of selection techniques

International Journal of Human-Computer Studies

Scalable Comparison of JavaScript V8 Bytecode Traces

PROCEEDINGS OF THE 11TH ACM SIGPLAN INTERNATIONAL WORKSHOP ON VIRTUAL MACHINES AND INTERMEDIATE LANGUAGES (VMIL '19)


Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

Discovery of 2D materials using Transformer Network based Generative Design

Universal neural network potentials as descriptors: Towards scalable
  chemical property prediction using quantum and classical computers


PASTA (Practical Alignment using SATe and Transitivity)

The asparagus genome sheds light on the origin and evolution of a young Y chromosome

Evolution of rapid blue‐light response linked to explosive diversification of ferns in angiosperm forests

Rooted tRNAomes and evolution of the genetic code

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

UPP2: fast and accurate alignment of datasets with fragmentary sequences

PASTA for proteins

HMMerge: an ensemble method for multiple sequence alignment


Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Global vulnerability hotspots: differences and agreement between international indicator-based assessments

Developmental Differentiations of Major Maize Stemborers Due to Global Warming in Temperate and Tropical Climates


A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Fully Convolutional Line Parsing

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages


Tools for handling Unique Molecular Identifiers in NGS data sets

UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy

Non-invasive early detection of cancer four years before conventional diagnosis using a blood test

Systematic identification of factors mediating accelerated mRNA degradation in response to changes in environmental nitrogen

Functional inference of gene regulation using single-cell multi-omics

Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer

Algorithms for efficiently collapsing reads with Unique Molecular Identifiers

Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms

The Journal of molecular diagnostics : JMD

Global approaches for profiling transcription initiation

Blockage of EGFR/AKT and mevalonate pathways synergize the antitumor effect of temozolomide by reprogramming energy metabolism in glioblastoma

Mouse Single Islet β Cell Transcriptomics Reveal Sexually Dimorphic Transcriptomes and Type 2 Diabetes Genes


SQuARE: Software for question answering research.

UKP-SQUARE: An Online Platform for Question Answering Research

UKP-SQuARE v3: A Platform for Multi-Agent QA Research

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

UKP-SQuARE: An Interactive Tool for Teaching Question Answering


Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

DiffuRec: A Diffusion Model for Sequential Recommendation

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

Improving Micro-video Recommendation via Contrastive Multiple Interests

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning

Improving Multi-Interest Network with Stable Learning

Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation


an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.

Commit Messages in the Age of Large Language Models

A Comparison of Document Similarity Algorithms

CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models


Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing


Tools to work with GWAS-VCF summary statistics files

A concerted neuron–astrocyte program declines in ageing and schizophrenia

BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies

A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation


Quantitative Structure Models of Single Trees from Laser Scanner Data

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning

Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR

Laser scanning reveals potential underestimation of biomass carbon in temperate forest

Modelling and Comparing Shading Effects of 3D Tree Structures with Virtual Leaves

4DRoot: Root phenotyping software for temporal 3D scans by X-ray computed tomography

A multilayered urban tree dataset of point clouds, quantitative structure and graph models

QSMs, point cloud and harvest data from a destructive forest biomass experiment in Belgium using terrestrial laser scanning

Zenodo (CERN European Organization for Nuclear Research)

Prunus avium, agroforestry trees, South-Western Germany


DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

Sentence Simplification with Deep Reinforcement Learning

Sentence Simplification with Memory-Augmented Neural Networks

Plug and Play Autoencoders for Conditional Text Generation

On the Helpfulness of Document Context to Sentence Simplification

International Conference on Computational Linguistics

Reducing Sequence Length by Predicting Edit Operations with Large Language Models

Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors

Findings of the Association for Computational Linguistics: EACL 2023


Code for the paper "Meta-Learning Shared Hierarchies"

Meta Learning Shared Hierarchies

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Multitask Soft Option Learning

Meta-Learning Parameterized Skills


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

Implementing MR‐PRESSO and GCTA‐GSMR for pleiotropy assessment in Mendelian randomization studies from a practitioner's perspective

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework


Binary releases of Vaa3D and related software components

TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain

Microglial morphometric analysis: so many options, so little consistency

An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology


RepeatMasker is a program that screens DNA sequences for interspersed repeats and low complexity DNA sequences.

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Reconstruction of ancient homeobox gene linkages inferred from a new high-quality assembly of the Hong Kong oyster (Magallana hongkongensis) genome

Contingency in the convergent evolution of a regulatory network: Dosage compensation in Drosophila

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

SINE-Based Phylogenomics Reveal Extensive Introgression and Incomplete Lineage Sorting in Myotis

Chromosome-level genome assembly of the sea cucumber Apostichopus japonicus

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

Gigantic Genomes Provide Empirical Tests of Transposable Element Dynamics Models

基因组蛋白质组与生物信息学报

Genome and Transcriptome Sequencing Analysis of Fusarium commune Provides Insights into the Pathogenic Mechanisms of the Lotus Rhizome Rot

Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators


Clustering routines for the unit sphere

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval

Directional Statistics in Machine Learning: a Brief Review

A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity

Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces

Changing the Geometry of Representations: α-Embeddings for NLP Tasks

Word Embeddings as Features for Supervised Coreference Resolution

Recent Advances in Natural Language Processing

Automatically Computable Metrics to Generate Metaphorical Verb Expressions

On the Replicability of Combining Word Embeddings and Retrieval Models


Cyclical Learning Rates for Training Neural Networks

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset

Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application

Wireless Communications and Mobile Computing

Embedded hyper-parameter tuning by Simulated Annealing

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification

Muddling Label Regularization: Deep Learning for Tabular Datasets

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


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

Exploration by Random Network Distillation

Self-Supervised Exploration via Disagreement

Never Give Up: Learning Directed Exploration Strategies

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

Is Exploration All You Need? Effective Exploration Characteristics for
  Transfer in Reinforcement Learning


Probabilistic modeling of tabular data with normalizing flows.

Density estimation using Real NVP

NICE: Non-linear Independent Components Estimation

Neural Spline Flows

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

The Sensitivity of GPz Estimates of Photo-z Posterior PDFs to Realistically Complex Training Set Imperfections

Publications of the Astronomical Society of the Pacific

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows


Import qiime2 artifacts to R

Phage-delivered CRISPR-Cas9 for strain-specific depletion and genomic deletions in the gut microbiome

The Transition From Stochastic to Deterministic Bacterial Community Assembly During Permafrost Thaw Succession

Benchmarking urine storage and collection conditions for evaluating the female urinary microbiome

Persistence of a Core Microbiome Through the Ontogeny of a Multi-Host Parasite

A Mediterranean Diet Pattern Improves Intestinal Inflammation Concomitant with Reshaping of the Bacteriome in Ulcerative Colitis: A Randomised Controlled Trial

Compositional Differences in the Oral Microbiome of E-cigarette Users

The upper respiratory tract microbiome of indigenous Orang Asli in north-eastern Peninsular Malaysia

Characterization of Microbial Dynamics and Volatile Metabolome Changes During Fermentation of Chambourcin Hybrid Grapes From Two Pennsylvania Regions

Bacterial communities associated with wood rot fungi that use distinct decomposition mechanisms

Temporal variations in bacterial community diversity and composition throughout intensive care unit renovations


Repository for Chemical Perception Sampling Tools

Escaping Atom Types in Force Fields Using Direct Chemical Perception

Journal of chemical theory and computation

Toward Learned Chemical Perception of Force Field Typing Rules.

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1

ChemPer: An Open Source Tool for Automatically Generating SMIRKS Patterns


Creative Commons Attribution 4.0 International

A container for all enzyme constrained models created by GECKO.

Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0

Adaptations in metabolism and protein translation give rise to the Crabtree effect in yeast

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

Loss of full-length dystrophin expression results in major cell-autonomous abnormalities in proliferating myoblasts


Open morphology for Finnish

Measuring Lexical Quality of a Historical Finnish Newspaper Collection ― Analysis of Garbled OCR Data with Basic Language Technology Tools and Means

Omorfi --- Free and open source morphological lexical database for Finnish

Nordic Conference of Computational Linguistics

Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910

Using Morphological Knowledge in Open-Vocabulary Neural Language Models

North American Chapter of the Association for Computational Linguistics

Ground Truth OCR Sample Data of Finnish Historical Newspapers and Journals in Data Improvement Validation of a re-OCRing Process

Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling

Workshop on Statistical Machine Translation

Neural and rule-based Finnish NLP models—expectations, experiments and experiences

Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

Initial Experiments in Data-Driven Morphological Analysis for Finnish

Proceedings of the Fourth International Workshop on Computatinal
          Linguistics of Uralic Languages

Tagging Named Entities in 19th Century and Modern Finnish Newspaper Material with a Finnish Semantic Tagger

Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)


Large-scale, multi-GPU capable, kernel solver

Kernel methods through the roof: handling billions of points efficiently

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Neural Tangent Kernel: A Survey

Fast Region Proposal Learning for Object Detection for Robotics

Stochastic Zeroth order Descent with Structured Directions

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization

Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection


The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.

Universal Dependency Parsing for Hindi-English Code-switching

WordNet Gloss Translation for Under-resourced Languages using Multilingual Neural Machine Translation

Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data

SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification

RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification

Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification

Empirical Methods in Natural Language Processing

A Unified Framework for Multilingual and Code-Mixed Visual Question Answering

International Joint Conference on Natural Language Processing

Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages

Workshop on NLP for Similar Languages, Varieties and Dialects

Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models

Normalization and Back-Transliteration for Code-Switched Data

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching


Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires    (scroll down for the README)

GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation

T Cell Receptor Profiling in Type 1 Diabetes

T cell receptor sequence clustering and antigen specificity

Computational and structural biotechnology journal

Designing meaningful continuous representations of T cell receptor sequences with deep generative models


A serializable note sequence representation and utilities.

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

miditok: A Python package for MIDI file tokenization

Generative Melody Composition with Human-in-the-Loop Bayesian Optimization

The Music Annotation Pattern


A system for scientific simulation-based inference at scale.

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

Truncated Marginal Neural Ratio Estimation

Zenodo (CERN European Organization for Nuclear Research)

Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation

Constraining the X-ray heating and reionization using 21-cm power spectra with Marginal Neural Ratio Estimation

Bayesian model comparison for simulation-based inference

Scalable inference with Autoregressive Neural Ratio Estimation

Detection is truncation: studying source populations with truncated marginal neural ratio estimation

One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses

Towards reconstructing the halo clustering and halo mass function of N-body simulations using neural ratio estimation


A battery pack simulation tool that uses the PyBaMM framework


The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.

Associations of Serum Cathepsin K and Polymorphisms in CTSK Gene With Bone Mineral Density and Bone Metabolism Markers in Postmenopausal Chinese Women

A Dyadic Simulation Approach to Efficient Range-Summability

Designing efficient randstrobes for sequence similarity analyses


Python version of Sudachi, a Japanese tokenizer.

Sudachi: a Japanese Tokenizer for Business

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

fugashi, a Tool for Tokenizing Japanese in Python

Talking Face Generation with Multilingual TTS


A toolbox of ocr models and algorithms based on MindSpore

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network

Real-time Scene Text Detection with Differentiable Binarization

Robust Scene Text Recognition with Automatic Rectification

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition


Post-quantum crypto library for the ARM Cortex-M4

Sapphire: A Configurable Crypto-Processor for Post-Quantum Lattice-based Protocols

RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

NTT Multiplication for NTT-unfriendly Rings

Masking Kyber: First- and Higher-Order Implementations

ISA Extensions for Finite Field Arithmetic

Standard Lattice-Based Key Encapsulation on Embedded Devices

SynFi: Automatic Synthetic Fingerprint Generation

Multi-moduli NTTs for Saber on Cortex-M3 and Cortex-M4

Higher-Order Masked Ciphertext Comparison for Lattice-Based Cryptography

Improved Plantard Arithmetic for Lattice-based Cryptography


An open-source Python package for designing and performing research on AguaClara water treatment plants.


MACS -- Model-based Analysis of ChIP-Seq

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease

β-Glucan Reverses the Epigenetic State of LPS-Induced Immunological Tolerance

ArabidopsisBasic Helix-Loop-Helix Transcription Factors MYC2, MYC3, and MYC4 Regulate Glucosinolate Biosynthesis, Insect Performance, and Feeding Behavior

Comparative cellular analysis of motor cortex in human, marmoset and mouse

Chromatin and Single-Cell RNA-Seq Profiling Reveal Dynamic Signaling and Metabolic Transitions during Human Spermatogonial Stem Cell Development

Use Model-Based Analysis of ChIP-Seq (MACS) to Analyze Short Reads Generated by Sequencing Protein–DNA Interactions in Embryonic Stem Cells

STEM CELL TRANSCRIPTIONAL NETWORKS: METHODS AND PROTOCOLS

The long non-coding RNA Paupar regulates the expression of both local and distal genes

The Implication of Early Chromatin Changes in X Chromosome Inactivation

The long non-coding RNA Dali is an epigenetic regulator of neural differentiation


[NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering

AutoCodeRover: Autonomous Program Improvement

Rethinking Software Engineering in the Foundation Model Era: From
  Task-Driven AI Copilots to Goal-Driven AI Pair Programmers

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating
  LLMs in Offensive Security


This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems


HOPS - A user-friendly software for single-object photometry and exoplanet light-curve modelling

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

Original Research by Young Twinkle Students (ORBYTS): ephemeris refinement of transiting exoplanets

Original Research By Young Twinkle Students (ORBYTS): Ephemeris Refinement of Transiting Exoplanets III

Astronomy Theory, Observations & Methods


Anomaly Detection via Reverse Distillation from One-Class Embedding

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation

Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images


Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation

Real-time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction


quality filtering tool for long reads

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

Trycycler: consensus long-read assemblies for bacterial genomes

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

Islands of retroelements are major components of Drosophila centromeres

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

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

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

Dynamic turnover of centromeres drives karyotype evolution in Drosophila

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

Assembling the perfect bacterial genome using Oxford Nanopore and Illumina sequencing


A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

GPT-4 Technical Report

Evaluating Very Long-Term Conversational Memory of LLM Agents

FLAME: Factuality-Aware Alignment for Large Language Models

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Collaborative decoding of critical tokens for boosting factuality of
  large language models

A Modular Approach for Multimodal Summarization of TV Shows


A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Intensity-Free Learning of Temporal Point Processes

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

UNIPoint: Universally Approximating Point Processes Intensities

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

Efficient Dynamic Graph Representation Learning at Scale

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes

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

Spectral Transform Forms Scalable Transformer

From Static to Dynamic Node Embeddings

An Empirical Study: Extensive Deep Temporal Point Process


T2F: text to face generation using Deep Learning

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

Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions

FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions

Text-to-Face Generation with StyleGAN2

Multi-Attributed and Structured Text-to-Face Synthesis


Portuguese pre-trained BERT models

BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis

Portuguese Named Entity Recognition using BERT-CRF

Pre-training Polish Transformer-based Language Models at Scale

LegalNLP - Natural Language Processing methods for the Brazilian Legal Language

Benchmarking Natural Language Inference and Semantic Textual Similarity for Portuguese

TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark

Sense representations for Portuguese: experiments with sense embeddings and deep neural language models


a tool for designing primer panels for multiplex PCR.

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

bioRxiv : the preprint server for biology

Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus

medRxiv : the preprint server for health sciences


Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals

FALSE POSITIVE PROBABILITIES FOR ALL KEPLER OBJECTS OF INTEREST: 1284 NEWLY VALIDATED PLANETS AND 428 LIKELY FALSE POSITIVES

Stellar and planetary properties of K2 campaign 1 candidates and validation of 17 planets, including a planet receiving Earth-like insolation

K2 DISCOVERS A BUSY BEE: AN UNUSUAL TRANSITING NEPTUNE FOUND IN THE BEEHIVE CLUSTER

The K2-138 System: A Near-resonant Chain of Five Sub-Neptune Planets Discovered by Citizen Scientists

An exomoon survey of 70 cool giant exoplanets and the new candidate Kepler-1708 b-i

DISCOVERY AND VALIDATION OF A HIGH-DENSITY SUB-NEPTUNE FROM THE K2 MISSION

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

Validation of Small Kepler Transiting Planet Candidates in or near the Habitable Zone

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - IV. Candidate exoplanets around stars in open clusters: frequency and age-planetary radius distribution

Monthly Notices of the Royal Astronomical Society

37 new validated planets in overlapping K2 campaigns

Monthly notices of the Royal Astronomical Society


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

Win Prediction in Multiplayer Esports: Live Professional Match Prediction

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

Modeling Individual and Team Behavior through Spatio-temporal Analysis

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)

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

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


Antibiotic resistance prediction in minutes

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Prevalence and genetic basis of first-line drug resistance of Mycobacterium tuberculosis in Ca Mau, Vietnam

Targeted sequencing from cerebrospinal fluid for rapid identification of drug-resistant tuberculous meningitis

Persistent Salmonella enterica serovar Typhi sub-populations within host interrogated by whole genome sequencing and metagenomics


A collection of datasets for the purpose of emotion recognition/detection in speech.

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection

DEMoS: an Italian emotional speech corpus

Towards a standard set of acoustic features for the processing of emotion in speech.

The Perceived Emotion of Isolated Synthetic Audio: The EmoSynth Dataset and Results


The MaNGA Data Analysis Pipeline

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Overview

The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Emission-line Modeling

Evidence for the Accretion of Gas in Star-forming Galaxies: High N/O Abundances in Regions of Anomalously Low Metallicity


Two time-scale update rule for training GANs

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Generative Modeling by Estimating Gradients of the Data Distribution

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

How good is my GAN?

A U-Net Based Discriminator for Generative Adversarial Networks

ContraGAN: Contrastive Learning for Conditional Image Generation

COCO-GAN: Generation by Parts via Conditional Coordinating

Reducing Noise in GAN Training with Variance Reduced Extragradient

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation


Transcription Factor Enrichment Analysis

Transcription factor enrichment analysis (TFEA) quantifies the activity of multiple transcription factors from a single experiment

Deconvolution of multiplexed transcriptional responses to wood smoke particles defines rapid aryl hydrocarbon receptor signaling dynamics

Genomics-based deconvolution of multiplexed transcriptional responses to wood smoke particles defines rapid AHR signaling dynamics


defacing utility for MRI images

Network Localisation of White Matter Damage in Cerebral Small Vessel Disease

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

A natural language fMRI dataset for voxelwise encoding models

3D Deformable Convolutions for MRI classification

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

De‐identification procedures for magnetic resonance images and the impact on structural brain measures at different ages

The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing


Temporal Network Tools

From static to temporal network theory: Applications to functional brain connectivity

Temporal flow of hubs and connectivity in the human brain

Brain network segregation and integration during painful thermal stimulation

Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis


A frequency-domain dynamics model for floating wind turbines


Multiple paper open-source codes of the Microsoft Research Asia DKI group

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context

Compositional Generalization by Learning Analytical Expressions

Incomplete Utterance Rewriting as Semantic Segmentation

Reasoning Like Program Executors

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Learning Algebraic Recombination for Compositional Generalization

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing


Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Listen, Attend and Spell

Kosp2e: Korean Speech to English Translation Corpus

KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition


Measurement methodology for advertising emissions


Ethereum Virtual Machine (EVM) disassembler and assembler

EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts


The Chuffed CP solver

A Survey on String Constraint Solving

Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs

The optimality of syntactic dependency distances

New First-Order Secure AES Performance Records

Quantum-accelerated constraint programming

Scalable Optimal Deployment in the Cloud of Component-based Applications using Optimization Modulo Theory, Mathematical Programming and Symmetry Breaking

Trap spaces of Boolean networks are conflict-free siphons of their Petri net encoding

Mind Your Path: On (Key) Dependencies in Differential Characteristics

IACR Transactions on Symmetric Cryptology

A Framework for Generating Informative Benchmark Instances

Cable tree wiring - benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints


GenieNLP: A versatile codebase for any NLP task

The Natural Language Decathlon: Multitask Learning as Question Answering

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web

Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents


Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

Sex-Related Differences in White Matter Asymmetry and Its Implications for Verbal Working Memory in Psychosis High-Risk State

Microstructural alterations in medial forebrain bundle are associated with interindividual pain sensitivity

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations


The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Safe and Practical GPU Acceleration in TrustZone

Optimizing Direct Convolutions on ARM Multi-Cores

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

HetSched: Quality-of-Mission Aware Scheduling for Autonomous Vehicle SoCs

Towards Effective Depthwise Convolutions on ARMv8 Architecture

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures


A library for numerical weather prediction and climate modelling


Qkit framework

A quantum engineer's guide to superconducting qubits

Granular aluminium as a superconducting material for high-impedance quantum circuits

Control of the coupling strength and linewidth of a cavity magnon-polariton

Complex temperature dependence of coupling and dissipation of cavity magnon polaritons from millikelvin to room temperature

Local sensing with the multilevel ac Stark effect

Introducing coherent time control to cavity magnon-polariton modes

State preparation of a fluxonium qubit with feedback from a custom FPGA-based platform

Magnons at low excitations: Observation of incoherent coupling to a bath of two-level systems

Transmon qubit in a magnetic field: Evolution of coherence and transition frequency

Versatile Configuration and Control Framework for Real-Time Data Acquisition Systems


Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Generalizing to Unseen Domains: A Survey on Domain Generalization

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Transfer Learning with Dynamic Distribution Adaptation

ACM Transactions on Intelligent Systems and Technology

AdaRNN: Adaptive Learning and Forecasting of Time Series

Easy Transfer Learning By Exploiting Intra-domain Structures

Learning What and Where to Transfer

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

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

Adaptive Trajectory Prediction via Transferable GNN

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition


[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding

ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos


Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

DockGame: Cooperative Games for Multimeric Rigid Protein Docking


Factorization Machine models in PyTorch

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

AutoLoss: Automated Loss Function Search in Recommendations

AutoField: Automating Feature Selection in Deep Recommender Systems

User Response Prediction in Online Advertising

Memory-efficient Embedding for Recommendations

AutoDenoise: Automatic Data Instance Denoising for Recommendations

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

Optimizing Feature Set for Click-Through Rate Prediction

MvFS: Multi-view Feature Selection for Recommender System

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation

Proceedings of the 17th ACM Conference on Recommender Systems


TabLinker - Supervised Excel/CSV to RDF Converter

Lifting Tabular Data to RDF: A Survey

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable

International Journal of Data Science and Analytics

From one star to three stars: Upgrading legacy open data using crowdsourcing

PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015)

An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor

Mapping Spreadsheets to RDF: Supporting Excel in RML


A FULLY AUTOMATIC FOREST PARAMETERS EXTRACTION AT SINGLE-TREE LEVEL: A COMPARISON OF MLS AND TLS APPLICATIONS

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


State-of-the-art LLM-based translation models.

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Authorship Style Transfer with Policy Optimization

Word Alignment as Preference for Machine Translation

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality
  Translation at Scale

Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task


Praat in Python, the Pythonic way

Introducing Parselmouth: A Python interface to Praat

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

ParaTTS: Learning Linguistic and Prosodic Cross-Sentence Information in Paragraph-Based TTS

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion


MWPToolkit is an open-source framework for math word problem(MWP) solvers.

Template-Based Math Word Problem Solvers with Recursive Neural Networks

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

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

Math Word Problem Solving by Generating Linguistic Variants of Problem Statements

Can LLMs Solve longer Math Word Problems Better?

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends


Scripts and libraries for Environmental Genomics

The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes

piRNAs Are Associated with Diverse Transgenerational Effects on Gene and Transposon Expression in a Hybrid Dysgenic Syndrome of D. virilis

Genomic evolution of the class Acidithiobacillia: deep-branching Proteobacteria living in extreme acidic conditions

Host Specificity of the Dickeya Bacteriophage PP35 Is Directed by a Tail Spike Interaction With Bacterial O-Antigen, Enabling the Infection of Alternative Non-pathogenic Bacterial Host

Diversity and Distribution of a Novel Genus of Hyperthermophilic Aquificae Viruses Encoding a Proof-Reading Family-A DNA Polymerase

Physiological and Genomic Characterization of a Hyperthermophilic Archaeon Archaeoglobus neptunius sp. nov. Isolated From a Deep-Sea Hydrothermal Vent Warrants the Reclassification of the Genus Archaeoglobus

A dataset of four probiotic Bifidobacterium strains genome assemblies

Draft Genome Sequence of Rhodococcus erythropolis HX7, a Psychrotolerant Soil-Derived Oil Degrader

Data on draft genome sequence of Caldanaerobacter sp. strain 1523vc, a thermophilic bacterium, isolated from a hot spring of Uzon Caldera, (Kamchatka, Russia)


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

The First SRG/eROSITA All-Sky Survey: Optical Identification and Properties of Galaxy Clusters and Groups in the Western Galactic Hemisphere

Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys


TensorFlow implementation of an arbitrary order Factorization Machine

Neural Factorization Machines for Sparse Predictive Analytics

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Higher-Order Factorization Machines

Exponential Machines

Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

Efficient Neural Interaction Function Search for Collaborative Filtering

User models for multi-context-aware music recommendation

Predicting Stances from Social Media Posts using Factorization Machines

International Conference on Computational Linguistics

Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach

A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction


Automatically exported from code.google.com/p/farmhash

Indexed variation graphs for efficient and accurate resistome profiling

HyperLogLogLog: Cardinality Estimation With One Log More

Fast keyed hash/pseudo-random function using SIMD multiply and permute

Regular and almost universal hashing: an efficient implementation


Yet Another Random Program Generator

Random testing for C and C++ compilers with YARPGen

Proceedings of the ACM on Programming Languages

Compiler fuzzing: how much does it matter?

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries

CsmithEdge: more effective compiler testing by handling undefined behaviour less conservatively

The Trusted Computing Base of the CompCert Verified Compiler

Formally Verifying Optimizations with Block Simulations

Simple, Light, Yet Formally Verified, Global Common Subexpression Elimination and Loop-Invariant Code Motion


Analysis of Factorial EXperiments (R package)

The hippocampus and orbitofrontal cortex jointly represent task structure during memory-guided decision making

Rapid Estimation of Gustatory Sensitivity Thresholds with SIAM and QUEST

Changes in the language system as amyloid-β accumulates

Development of Quantitative and Temporal Scalar Implicatures in a Felicity Judgment Task

Risk factor analysis for beef calves requiring assisted vaginal delivery in Great Britain.

Side Effects of Insecticides on Leaf-Miners and Gall-Inducers Depend on Species Ecological Traits and Competition with Leaf-Chewers

Aging impacts memory for perceptual, but not narrative, event details

Learning & memory (Cold Spring Harbor, N.Y.)

Segmental and suprasegmental encoding of speaker confidence in Wuxi dialect vowels

Valence moderates the effect of stimulus-hand proximity on conflict processing and gaze-cueing


A data package for reporting on Northeast Continental Shelf ecosystem status and trends.

Improving the IEA Approach Using Principles of Open Data Science


A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

Critical Lattice Model for a Haagerup Conformal Field Theory.

Lattice regularisation and entanglement structure of the Gross-Neveu model

Higher Berry Curvature from the Wave Function I: Schmidt Decomposition
  and Matrix Product States

Efficient higher-order matrix product operators for time evolution

Infinite Grassmann Time-Evolving Matrix Product Operator Method in the
  Steady State

The chiral Gross-Neveu model on the lattice via a Landau-forbidden phase transition

Infinite Grassmann time-evolving matrix product operator method for
  zero-temperature equilibrium quantum impurity problems