Julia Wrappers for the arpack-ng Fortran library

Algorithms for the computation of the matrix logarithm based on the double exponential formula

Journal of Computational and Applied Mathematics

Computing the matrix fractional power with the double exponential formula

Multifractality and statistical localization in highly heterogeneous random networks

Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks


This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

Acoustic echo cancellation with the dual-signal transformation LSTM network

F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement

Real-time speech enhancement with dynamic attention span


POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

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

InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model

Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio

System Description for the CommonGen task with the POINTER model


Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance


Train embodied agents that can answer questions in environments

Embodied Question Answering

Neural Modular Control for Embodied Question Answering

Multi-Target Embodied Question Answering

Blindfold Baselines for Embodied QA

What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning


DAGAN: Data Augmentation Generative Adversarial Networks

Sampling Generative Networks

Featurized Density Ratio Estimation

Unified Adversarial Invariance


Spatial mapping of cell types by integration of transcriptomics data

Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography

Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions

Zenodo (CERN European Organization for Nuclear Research)

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Spatial omics: Navigating to the golden era of cancer research

Spatial Multimodal Analysis of Transcriptomes and Metabolomes in Tissues

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

SPROUT: spectral sparsification helps restore the spatial structure at single-cell resolution


SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

A Simple Framework for Contrastive Learning of Visual Representations

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning

On Initial Pools for Deep Active Learning

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Unsupervised Manifold Linearizing and Clustering

Unsupervised Learning under Latent Label Shift

Out-of-Distribution Detection Without Class Labels

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE


The first deep learning based Nanopore simulator which can simulate the process of Nanopore sequencing.

DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing

Comprehensive Wet-Bench and Bioinformatics Workflow for Complex Microbiota Using Oxford Nanopore Technologies

Trans-NanoSim characterizes and simulates nanopore RNA-seq data

Replication data for simulated reads for S1, S2 and S3 genomes for the TrEMOLO paper


R package to conduct univariate and bivariate wavelet analyses

Rainfall trends and variation in the Maasai Mara ecosystem and their implications for animal population and biodiversity dynamics

Unraveling the Transmission Ecology of Polio

Annually resolved Atlantic sea surface temperature variability over the past 2,900 y

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

Some coral diseases track climate oscillations in the Caribbean

Rare ground data confirm significant warming and drying in western equatorial Africa

Safe haven, hedge and diversification for African stocks: cryptocurrencies versus gold in time-frequency perspective

West Nile virus transmission potential in Portugal

Scientific drilling of Lake Chalco, Basin of Mexico (MexiDrill)

Insolation and Greenhouse Gas Forcing of the South American Monsoon System Across Three Glacial‐Interglacial Cycles

Recent fire activity in the boreal eastern interior of North America is below that of the past 2000 yr


Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.


:atom_symbol: Qiskit (Quantum Information Science Kit) for JavaScript

Overview and Comparison of Gate Level Quantum Software Platforms

Open source software in quantum computing

Quantum Computing: an undergraduate approach using Qiskit

QAC: Quantum-computing Aided Composition


Visual Question Answering in Pytorch

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Hadamard Product for Low-rank Bilinear Pooling

Cycle-Consistency for Robust Visual Question Answering

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

Dual Recurrent Attention Units for Visual Question Answering

Deep Equilibrium Multimodal Fusion


Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

Image-to-Markup Generation with Coarse-to-Fine Attention

MathBERT: A Pre-Trained Model for Mathematical Formula Understanding

Automatic Generation of Headlines for Online Math Questions

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions

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


Material del curso de Sistemas Recomendadores IIC3633 PUC Chile

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Are we really making much progress? A worrying analysis of recent neural recommendation approaches

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Recommending what video to watch next: a multitask ranking system

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Controlling Fairness and Bias in Dynamic Learning-to-Rank

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Self-Supervised Reinforcement Learning for Recommender Systems

Personalized Re-ranking for Recommendation

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems

Neural Interactive Collaborative Filtering


NicheNet: predict active ligand-target links between interacting cells

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches

Stellate Cells, Hepatocytes, and Endothelial Cells Imprint the Kupffer Cell Identity on Monocytes Colonizing the Liver Macrophage Niche

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair

Defining human mesenchymal and epithelial heterogeneity in response to oral inflammatory disease

Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

TIM3+ TRBV11-2 T cells and IFNγ signature in patrolling monocytes and CD16+ NK cells delineate MIS-C

Computational Approaches and Challenges in Spatial Transcriptomics

基因组蛋白质组与生物信息学报

Single-cell atlas of keratoconus corneas revealed aberrant transcriptional signatures and implicated mechanical stretch as a trigger for keratoconus pathogenesis

Endothelial Zeb2 preserves the hepatic angioarchitecture and protects against liver fibrosis

Mapping the Spatial Dynamics of the Human Oral Mucosa in Chronic Inflammatory Disease


DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

HuatuoGPT, towards Taming Language Model to Be a Doctor

AviationGPT: A Large Language Model for the Aviation Domain

Large Language Models for Medicine: A Survey


An SMT Solver for string constraints

CertiStr: a certified string solver

Monadic Decomposition in Integer Linear Arithmetic (Technical Report)

Parikh's Theorem Made Symbolic


Large Language Models Are Zero-Shot Time Series Forecasters

A decoder-only foundation model for time-series forecasting

Unified Training of Universal Time Series Forecasting Transformers

Chronos: Learning the Language of Time Series

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

Empowering Time Series Analysis with Large Language Models: A Survey

Language Models Still Struggle to Zero-shot Reason about Time Series


EnergyPATHWAYS model is a professional, open-source energy and carbon planning tool for use in evaluating long-term, economy-wide greenhouse gas mitigation scenarios.


Participant selection for workshops and conferences made easy

Hack weeks as a model for data science education and collaboration

How to organize a hackathon -- A planning kit

Entrofy Your Cohort: A Data Science Approach to Candidate Selection


A toolbox for comparing brain maps

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics and genetics of autism and schizophrenia

Alterations of Cortical Structure and Neurophysiology in Parkinson's Disease Are Aligned with Neurochemical Systems

Gradients of brain organization: Smooth sailing from methods development
  to user community

Shared alterations in hippocampal structural covariance in subjective cognitive decline and migraine

Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance


Basic Tensor Algebra Subroutines

Tensor Contractions with Extended BLAS Kernels on CPU and GPU

PROCEEDINGS OF 2016 IEEE 23RD INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING (HIPC)

Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers

Robust approximation of tensor networks: application to grid-free tensor factorization of the Coulomb interaction

Efficient Construction of Canonical Polyadic Approximations of Tensor Networks


FeatherCNN is a high performance inference engine for convolutional neural networks.

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

A First Look at Deep Learning Apps on Smartphones

FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

IEEE Transactions on Parallel and Distributed Systems

A First Look at On-device Models in iOS Apps

Towards Effective Depthwise Convolutions on ARMv8 Architecture


soilDB: Simplified Access to National Cooperative Soil Survey Databases


RoBO: a Robust Bayesian Optimization framework

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

Benchmark and Survey of Automated Machine Learning Frameworks

Fast Bayesian hyperparameter optimization on large datasets

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives

RoBO : A Flexible and Robust Bayesian Optimization Framework in Python

Warm Starting CMA-ES for Hyperparameter Optimization

Practical Bayesian Optimization for Variable Cost Objectives

An analysis of deep neural networks for predicting trends in time series data

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


HIPIFY: Convert CUDA to Portable C++ Code

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

High-speed turbulent flows towards the exascale: STREAmS-2 porting and performance

Supporting CUDA for an extended RISC-V GPU architecture

Lattice QCD GPU Inverters on ROCm Platform

COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs

CuPBoP: CUDA for Parallelized and Broad-range Processors

GPU-accelerated connectome discovery at scale


Response of Extreme Precipitating Cell Structures to Atmospheric Warming

Journal of geophysical research. Atmospheres : JGR

Nonprecipitating Shallow Cumulus Convection Is Intrinsically Unstable to Length Scale Growth

The diurnal stratocumulus-to-cumulus transition over land in southern West Africa

Why Does Fog Deepen? An Analytical Perspective

Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7

Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model

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

Cloud Botany: Shallow Cumulus Clouds in an Ensemble of Idealized Large‐Domain Large‐Eddy Simulations of the Trades

Journal of Advances in Modeling Earth Systems

Clouds dissipate quickly during solar eclipses as the land surface cools

Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open water


OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

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

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Generative Adversarial Imitation Learning

Curiosity-driven Exploration by Self-supervised Prediction

Hindsight Experience Replay

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

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

A Distributional Perspective on Reinforcement Learning


A BNB Smart Chain client based on the go-ethereum fork

Blockchain-Based Decentralized Application: A Survey

IEEE Open Journal of the Computer Society

Understanding the Decentralization of DPoS: Perspectives From Data-Driven Analysis on EOSIO

Understanding Ethereum Mempool Security under Asymmetric DoS by Symbolic Fuzzing


Light version of Network Dissection for Quantifying Interpretability of Networks

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Interpreting Deep Visual Representations via Network Dissection

Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability

Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces

Visual Concept Connectome (VCC): Open World Concept Discovery and their
  Interlayer Connections in Deep Models


PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Language Features Matter: Effective Language Representations for Vision-Language Tasks

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval


(CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

SEED-Bench-2: Benchmarking Multimodal Large Language Models

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with
  Text-Rich Visual Comprehension


LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.

Electronic health record-based genome-wide meta-analysis provides insights on the genetic architecture of non-alcoholic fatty liver disease

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

GALC variants affect galactosylceramidase enzymatic activity and risk of Parkinson’s disease

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration

Colocalization of blood cell traits GWAS associations and variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants

bioRxiv : the preprint server for biology

A Trans-Omic Mendelian Randomization Study of Parental Lifespan Uncovers Novel Aging Biology and Drug Candidates for Human Healthspan Extension


This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

Word2Vec

Sentiment Polarity Detection for Software Development

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE)

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Empirical Methods in Natural Language Processing

Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation

Twitter Universal Dependency Parsing for African-American and Mainstream American English

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

Meeting of the Association for Computational Linguistics

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings

Evaluating bilingual word embeddings on the long tail

North American Chapter of the Association for Computational Linguistics


[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP

MSM-VC: High-Fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-Scale Style Modeling

Delivering Speaking Style in Low-resource Voice Conversion with Multi-factor Constraints

Unified Pretraining Target Based Video-Music Retrieval with Music Rhythm and Video Optical Flow Information


Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face   Transformers.

Deduplicating Training Data Mitigates Privacy Risks in Language Models

The MultiBERTs: BERT Reproductions for Robustness Analysis

Privacy Issues in Large Language Models: A Survey

Successor Heads: Recurring, Interpretable Attention Heads In The Wild

Why Do We Need Weight Decay in Modern Deep Learning?


Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

Celer: a Fast Solver for the Lasso with Dual Extrapolation

Dual Extrapolation for Sparse Generalized Linear Models

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

On Newton Screening

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization


Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

RAVEL: Evaluating Interpretability Methods on Disentangling Language
  Model Representations

pyvene: A Library for Understanding and Improving PyTorch Models via
  Interventions

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models


Specification and reference implementation of the TCN Protocol for decentralized, privacy-preserving contact tracing.

Decentralized Privacy-Preserving Proximity Tracing

Epione: Lightweight Contact Tracing with Strong Privacy

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

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

Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction

COVI White Paper

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

A review of information security aspects of the emerging COVID-19 contact tracing mobile phone applications

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing


This is a repository of public data sources for Recommender Systems (RS).

User Behavior Simulation with Large Language Model based Agents

Recommender Systems: A Primer

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation


GFlowNet library specialized for graph & molecular data

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Trajectory balance: Improved credit assignment in GFlowNets

Learning GFlowNets from partial episodes for improved convergence and stability

Maximum entropy GFlowNets with soft Q-learning

SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways

Pessimistic Backward Policy for GFlowNets


An all-in-one toolkit for computer vision

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

A Simple Framework for Contrastive Learning of Visual Representations

End-to-End Object Detection with Transformers

Momentum Contrast for Unsupervised Visual Representation Learning

Masked Autoencoders Are Scalable Vision Learners

Training data-efficient image transformers & distillation through attention

FCOS: Fully Convolutional One-Stage Object Detection

Bootstrap your own latent: A new approach to self-supervised Learning


A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

Enabling rootless Linux Containers in multi-user environments: the udocker tool

OCCAM: a flexible, multi-purpose and extendable HPC cluster

Containerization for High Performance Computing Systems: Survey and Prospects

IEEE Transactions on Software Engineering

MeerKATHI -- an end-to-end data reduction pipeline for MeerKAT and other radio telescopes

Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC


Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics

IEEE-RAS International Conference on Humanoid Robots

A feasibility-driven approach to control-limited DDP


Morphological diversity of single neurons in molecularly defined cell types

Cross-modal coherent registration of whole mouse brains

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains

Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry

M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

SmartScope2: Simultaneous Imaging and Reconstruction of Neuronal Morphology

ZooPathWeb: a comprehensive web resource for zoonotic pathogens


Faker is a Python package that generates fake data for you.

KLUE: Korean Language Understanding Evaluation

GitTables: A Large-Scale Corpus of Relational Tables

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows

KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records

Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents

Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

DeepJoin: Joinable Table Discovery with Pre-trained Language Models

Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

International Conference on Document Analysis and Recognition


Algorithms and Publications on 3D Object Tracking

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

SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World

A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking

A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures


中文医疗对话模型扁鹊(BianQue)

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

Large Language Models for Medicine: A Survey

HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field

Towards Training A Chinese Large Language Model for Anesthesiology


My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

International Conference on Learning Representations

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

Autoencoding Under Normalization Constraints

tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs


A multimodal deep learning framework for predicting drug-drug interaction events

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade

Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks

Drug-drug interactions prediction based on deep learning and knowledge graph: A review


An ultrafast tool for genome-wide survey of microsatellites and primer design

Krait: an ultrafast tool for genome-wide survey of microsatellites and primer design

De Novo Transcriptome Profiling for the Generation and Validation of Microsatellite Markers, Transcription Factors, and Database Development for Andrographis paniculata

International journal of molecular sciences

Amaranth Genomic Resource Database: an integrated database resource of Amaranth genes and genomics


Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Conditional Sig-Wasserstein GANs for Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Time-series Generation by Contrastive Imitation

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

International Journal of Computational Intelligence Systems


Hate Speech Detection Library for Python.

Women, politics and Twitter: Using machine learning to change the discourse

A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm

Leveraging cross-platform data to improve automated hate speech detection


A python package for computing distance between 2D trajectories.

Review and Perspective for Distance Based Trajectory Clustering

Deep generative modelling of aircraft trajectories in terminal maneuvering areas

Trajectory Similarity Measurement: An Efficiency Perspective

A Survey of Distance-Based Vessel Trajectory Clustering: Data
  Pre-processing, Methodologies, Applications, and Experimental Evaluation

Classifying Spatial Trajectories


GPU accelerated source code for motion compensation of multi-stack MRI data

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI


Fully Convolutional DenseNets for semantic segmentation.

Densely Connected Convolutional Networks

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images

EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation


A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

A Modern Primer on Processing in Memory

Near-Memory Computing: Past, Present, and Future

WoLFRaM: Enhancing Wear-Leveling and Fault Tolerance in Resistive Memories using Programmable Address Decoders

NMPO: Near-Memory Computing Profiling and Offloading

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


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

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

Voice Conversion With Just Nearest Neighbors

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with
  Diffusion Transformer


SV detection from paired end reads mapping

Parliament2: Accurate structural variant calling at scale

Validation and implementation of a modular targeted capture assay for the detection of clinically significant molecular oncology alterations

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology

Mutation Characteristics and Phylogenetic Analysis of Five Leishmania Clinical Isolates

Animals : an open access journal from MDPI


LEfSe determines the features (organisms, clades, operational taxonomic units, genes, or functions)     most likely to explain differences between classes by coupling standard tests for statistical significance with additional tests encoding     biological consistency and effect relevance.

Intermittent hypoxia is involved in gut microbial dysbiosis in type 2 diabetes mellitus and obstructive sleep apnea-hypopnea syndrome

Akkermansia muciniphila supplementation prevents cognitive impairment in sleep-deprived mice by modulating microglial engulfment of synapses

Assessment of Changes in the Oral Microbiome That Occur in Dogs with Periodontal Disease

Akkermansia muciniphila Alters Gut Microbiota and Immune System to Improve Cardiovascular Diseases in Murine Model

Ursolic Acid Ameliorates Spinal Cord Injury in Mice by Regulating Gut Microbiota and Metabolic Changes

Mucosal bacterial dysbiosis in patients with nodular lymphoid hyperplasia in the terminal ileum

Xinnaokang improves cecal microbiota and lipid metabolism to target atherosclerosis

The impact of gut microbiome enterotypes on ulcerative colitis: identifying key bacterial species and revealing species co-occurrence networks using machine learning

Oral Microbiota Profile in a Group of Anti-AChR Antibody–Positive Myasthenia Gravis Patients

Quinic acid regulated TMA/TMAO-related lipid metabolism and vascular endothelial function through gut microbiota to inhibit atherosclerotic


docker monitoring experiment


The plan validation system.

Vision-Language Interpreter for Robot Task Planning

AutoPlanBench: : Automatically generating benchmarks for LLM planners from PDDL

TwoStep: Multi-agent Task Planning using Classical Planners and Large
  Language Models


A Survey on Open Information Extraction

Neural Open Information Extraction

Language Models are Open Knowledge Graphs

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Span Model for Open Information Extraction on Accurate Corpus

DeepStruct: Pretraining of Language Models for Structure Prediction

Bringing Stories Alive: Generating Interactive Fiction Worlds

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Pre-training to Match for Unified Low-shot Relation Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection


Fast cosmological perturbation theory

Beyond linear galaxy alignments

FAST-PT: a novel algorithm to calculate convolution integrals in cosmological perturbation theory

Journal of Cosmology and Astroparticle Physics

FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory

Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear two-point correlation functions

Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters

Modeling intrinsic galaxy alignment in the MICE simulation

Modified gravity and massive neutrinos: constraints from the full shape analysis of BOSS galaxies and forecasts for Stage IV surveys

An empirical approach to model selection: weak lensing and intrinsic alignments

Euclid: The search for primordial features

HAL (Le Centre pour la Communication Scientifique Directe)

Galaxy bias in the era of LSST: perturbative bias expansions


The MPLAPACK: multiple precision version of BLAS and LAPACK

Automatic Fortran to C++ conversion with FABLE

Multiple-Precision BLAS Library for Graphics Processing Units

MPLAPACK version 2.0.1 user manual

Acceleration of multiple precision matrix multiplication based on multi-component floating-point arithmetic using AVX2

Transfer efficiency enhancement and eigenstate properties in locally symmetric disordered finite chains

Performance Evaluation of Strassen Matrix Multiplication Supporting Triple-Double Precision Floating-Point Arithmetic

Acceleration of Multiple Precision Matrix Multiplication using Ozaki scheme

Performance evaluation of accelerated complex multiple-precision LU
  decomposition


A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Hierarchical Graph Representations in Digital Pathology

Quantifying Explainers of Graph Neural Networks in Computational Pathology

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology

Explainable AI for Bioinformatics: Methods, Tools, and Applications


WaveNet vocoder

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

Adversarial Audio Synthesis

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

The 2020 ESPnet Update: New Features, Broadened Applications, Performance Improvements, and Future Plans

Towards Robust Neural Vocoding for Speech Generation: A Survey

Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics

Parametric Resynthesis with neural vocoders


Single Cell Analysis Pipelines

Single-Cell Sequencing Reveals an Intrinsic Heterogeneity of the Preovulatory Follicular Microenvironment

Single-Cell Transcriptome Comparison of Bladder Cancer Reveals Its Ecosystem

Neoadjuvant PARPi or chemotherapy in ovarian cancer informs targeting effector Treg cells for homologous-recombination-deficient tumors

Midpalatal Suture: Single-Cell RNA-Seq Reveals Intramembrane Ossification and Piezo2 Chondrogenic Mesenchymal Cell Involvement

Single-cell atlas of dental pulp stem cells exposed to the oral bacteria Porphyromonas gingivalis and Enterococcus faecalis

Frontiers in cell and developmental biology

SUMO1 regulates post-infarct cardiac repair based on cellular heterogeneity

Unraveling the role of M1 macrophage and CXCL9 in predicting immune checkpoint inhibitor efficacy through multicohort analysis and single‐cell RNA sequencing

Deciphering the single-cell transcriptome network in keloids with intra-lesional injection of triamcinolone acetonide combined with 5-fluorouracil

Identification of long noncoding RNA NEAT1 as a key gene involved in the extramedullary disease of multiple myeloma by bioinformatics analysis

Dipeptidyl peptidase 4 inhibition sensitizes radiotherapy by promoting T cell infiltration


Gauge-including magnetically induced currents.

Benchmarking Magnetizabilities with Recent Density Functionals

Journal of chemical theory and computation

Stabilizing a metalloid {Zn12} unit within a polymetallide environment in [K2Zn20Bi16]6−

Integration of global ring currents using the Ampère-Maxwell law.

Physical chemistry chemical physics : PCCP

Spatial Contributions to Nuclear Magnetic Shieldings

Magnetic Characterization of the Infinitene Molecule

Current density, current-density pathways, and molecular aromaticity

Magnetically Induced Current Densities in Zinc Porphyrin Nanoshells

Spatial Contributions to 1H NMR Chemical Shifts of Free-Base Porphyrinoids

Computational study of aromaticity, 1H NMR spectra and intermolecular interactions of twisted thia-norhexaphyrin and its multiply annulated polypyrrolic derivatives.

Magnetically Induced Current Densities in π-Conjugated Porphyrin Nanoballs


ICTP Regional Climate Model

The regional impact of urban emissions on air quality in Europe: the role of the urban canopy effects

West African monsoon precipitation impacted by the South Eastern Atlantic biomass burning aerosol outflow

Afforestation impact on soil temperature in regional climate model simulations over Europe

Influence of initial soil moisture in a Regional Climate Model study over West Africa. Part 2: Impact on the climate extremes

Effects of Land Cover Changes on Compound Extremes over West Africa Using the Regional Climate Model RegCM4

The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region

Assessment of the Sensitivity of the Mean Climate Simulation over West Africa to Planetary Boundary Layer Parameterization Using RegCM5 Regional Climate Model


RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models

ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot
  Retrieval


PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Learning and Planning in Average-Reward Markov Decision Processes

Deep Reinforcement Learning using Capsules in Advanced Game Environments

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction

Computational intelligence and neuroscience

Object-Oriented Dynamics Learning through Multi-Level Abstraction

Stabilizing Q Learning Via Soft Mellowmax Operator

Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world

EVOTER: Evolution of Transparent Explainable Rule-sets

Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents


Using global reanalyses for permafrost simulation

GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses


Data set of top third party web domains with rich metadata about them

FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting

Privacy Rarely Considered: Exploring Considerations in the Adoption of Third-Party Services by Websites

Targeted and Troublesome: Tracking and Advertising on Children's Websites


R tools for Eurostat data

Retrieval and Analysis of Eurostat Open Data with the eurostat Package


HiSim - House Infrastructure Simulator


Experimental implementation of Cubical Type Theory

Cubical Type Theory: a constructive interpretation of the univalence axiom

On Higher Inductive Types in Cubical Type Theory

Guarded Cubical Type Theory

Canonicity for Cubical Type Theory

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy Theory

The RedPRL Proof Assistant (Invited Paper)

Bicategories in Univalent Foundations

Guarded Cubical Type Theory: Path Equality for Guarded Recursion


An implementation framework for a P4Runtime server

A survey on data plane programming with P4: Fundamentals, advances, and applied research

An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends

P4K: A Formal Semantics of P4 and Applications

P4-IPsec: Implementation of IPsec Gateways in P4 with SDN Control for Host-to-Site Scenarios


Persian NLP Toolkit

ParsBERT: Transformer-based Model for Persian Language Understanding

Parsivar: A Language Processing Toolkit for Persian

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

FarsTail: A Persian Natural Language Inference Dataset

Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP

On the Importance of Ezafe Construction in Persian Parsing

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Learning Multilingual Topics from Incomparable Corpus

Supervised Morphological Segmentation Using Rich Annotated Lexicon

Recent Advances in Natural Language Processing

A Machine Learning Approach to Persian Text Readability Assessment Using a Crowdsourced Dataset

Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities

Building a Morphological Network for Persian on Top of a Morpheme-Segmented Lexicon


Matlab routines to work with space data, particularly with MMS and Cluster/CAA data. Also some general plasma routines.

Electron Heating by Debye-Scale Turbulence in Guide-Field Reconnection

Direct observations of anomalous resistivity and diffusion in collisionless plasma

Single-spacecraft techniques for shock parameters estimation: A systematic approach

Frontiers in Astronomy and Space Sciences

Quasi-adiabatic and Stochastic Heating and Particle Acceleration at Quasi-perpendicular Shocks

Stochastic and Quasi-adiabatic Electron Heating in Quasi-parallel Shocks

Analysis of Magnetohydrodynamic Perturbations in the Radial-field Solar Wind from Parker Solar Probe Observations

The Radial Distribution of Ion-scale Waves in the Inner Heliosphere

Multispacecraft Analysis of the Properties of Magnetohydrodynamic Fluctuations in Sub-Alfvénic Solar Wind Turbulence at 1 au

Local acceleration of protons to 100 keV in a quasi-parallel bow shock

Journal of Geophysical Research: Space Physics

Ion acceleration to 100 keV by the ExB wave mechanism in collision-less shocks

Monthly notices of the Royal Astronomical Society


This has been moved to https://github.com/ethereum/remix-project

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

A Novel Location Privacy-Preserving Approach Based on Blockchain

Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts

IEEE Open Journal of the Computer Society

Exploring Security Practices of Smart Contract Developers


Functionalities such as a layers for building neural networks in Jax.

2-bit Conformer quantization for automatic speech recognition

USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models

Fine-Tuning Large Language Models with User-Level Differential Privacy


Optimus: the first large-scale pre-trained VAE language model

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs

Discriminative and Generative Transformer-based Models For Situation Entity Classification

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces


Graph convolutional neural network for multirelational link prediction

Deep Learning on Graphs: A Survey

Modeling polypharmacy side effects with graph convolutional networks

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:

Automated mapping of phenotype space with single-cell data

Organization of the human intestine at single-cell resolution

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Fetal-derived macrophages dominate in adult mammary glands

Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells

Th17 reprogramming of T cells in systemic juvenile idiopathic arthritis

Single-cell transcriptomic analysis of mIHC images via antigen mapping

Multiomic spatial landscape of innate immune cells at human central nervous system borders

Fetal‐derived macrophages persist and sequentially maturate in ovaries after birth in mice


Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation


Python tools for mean-field Hubbard models

Frontispiz: On‐Surface Synthesis and Collective Spin Excitations of a Triangulene‐Based Nanostar

Carbon-based nanostructures as a versatile platform for tunable π-magnetism

Journal of physics. Condensed matter : an Institute of Physics journal

Magnetic Interactions Between Radical Pairs in Chiral Graphene Nanoribbons


Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention

SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

Boosting Visual-Language Models by Exploiting Hard Samples

Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining


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

Findings of the 2015 Workshop on Statistical Machine Translation

Alibaba Submission for WMT18 Quality Estimation Task

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

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

Contextual Encoding for Translation Quality Estimation

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

International Workshop on Spoken Language Translation

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


Medical Q&A with Deep Language Models

Attention Is All You Need

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

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

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


Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Rethinking the Value of Network Pruning

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Rethinking the Pruning Criteria for Convolutional Neural Network

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Automatic Sparse Connectivity Learning for Neural Networks

EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks

IEEE transactions on neural networks and learning systems

Structural Watermarking to Deep Neural Networks via Network Channel Pruning

Trainability Preserving Neural Pruning

Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html https://www.biorxiv.org/content/10.1101/720458v1

Technology dictates algorithms: Recent developments in read alignment

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Graphmap2 - splice-aware RNA-seq mapper for long reads


A tc command wrapper. Make it easy to set up traffic control of network bandwidth/latency/packet-loss/packet-corruption/etc. to a network-interface/Docker-container(veth).

MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud

Fedstellar: A Platform for Decentralized Federated Learning

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


MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

TrustLLM: Trustworthiness in Large Language Models

ORPO: Monolithic Preference Optimization without Reference Model

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

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

Datasets for Large Language Models: A Comprehensive Survey

Fairness in Medical Image Analysis and Healthcare: A Literature Survey

Developing ChatGPT for biology and medicine: a complete review of biomedical question answering

A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations


FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Seeing Through Clouds in Satellite Images

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models


BSMPT - Beyond the Standard Model Phase Transitions : A C++ package for the computation of the EWPT in BSM models

BSMPT (Beyond the Standard Model Phase Transitions): A tool for the electroweak phase transition in extended Higgs sectors

BSMPT v2 a tool for the electroweak phase transition and the baryon asymmetry of the universe in extended Higgs Sectors

Electroweak phase transition in a dark sector with CP violation


Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks

gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

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

Bactabolize: A tool for high-throughput generation of bacterial strain-specific metabolic models

State-of the-Art Constraint-Based Modeling of Microbial Metabolism: From Basics to Context-Specific Models with a Focus on Methanotrophs


Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Training data-efficient image transformers & distillation through attention

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Context Autoencoder for Self-Supervised Representation Learning

Token Merging: Your ViT But Faster

Partial FC: Training 10 Million Identities on a Single Machine

ConvMAE: Masked Convolution Meets Masked Autoencoders


XenonPy is a Python Software for Materials Informatics

Transfer learning for materials informatics using crystal graph convolutional neural network

Exploring Diamond-Like Lattice Thermal Conductivity Crystals via Feature-Based Transfer Learning

Machine Learning to Predict Quasicrystals from Chemical Compositions

Study of Deep Generative Models for Inorganic Chemical Compositions

Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm

Shotgun crystal structure prediction using machine-learned formation energies


The official GitHub page for the survey paper "A Survey of Large Language Models".

A Survey of Large Language Models

A Survey of Reasoning with Foundation Models

Toward an Ethics of AI Belief


Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'

Manifold Mixup: Better Representations by Interpolating Hidden States

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Iterative label cleaning for transductive and semi-supervised few-shot learning

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

Improving Classification Accuracy with Graph Filtering


Bidirectional Learning for Domain Adaptation of Semantic Segmentation

ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation

Robust Deep Learning for Autonomous Driving


20x Real-time superpixel SLIC Implementation with CPU

Part-aware Prototype Network for Few-shot Semantic Segmentation

FocalClick: Towards Practical Interactive Image Segmentation

SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

GraphVid: It Only Takes a Few Nodes to Understand a Video

Region-Based Representations Revisited

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction


The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Deep Back-Projection Networks For Super-Resolution

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Deep Back-ProjectiNetworks for Single Image Super-Resolution

Kernelized Back-Projection Networks for Blind Super Resolution


Accelerating network inference over video

NoScope: Optimizing Neural Network Queries over Video at Scale

Physical Representation-based Predicate Optimization for a Visual Analytics Database

International Conference on Data Engineering

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

SiEVE: Semantically Encoded Video Analytics on Edge and Cloud

Survey: Exploiting Data Redundancy for Optimization of Deep Learning

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data


MitoZ: A toolkit for assembly, annotation, and visualization of animal mitochondrial genomes

MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization

MitoZ: A toolkit for mitochondrial genome assembly, annotation and visualization

The complete mitochondrial genome of Ornithomya biloba (Diptera, Hippoboscidae)

Characterization and Comparative Analysis of Mitochondrial Genomes Among the Calliphoridae (Insecta: Diptera: Oestroidea) and Phylogenetic Implications

Comparative mitochondrial genome brings insights to slight variation in gene proportion and large intergenic spacer and phylogenetic relationship of mudskipper species.

Phylogenetic Analysis of Some Species of the Anopheles hyrcanus Group (Diptera: Culicidae) in China Based on Complete Mitochondrial Genomes

The complete mitochondrial genome of a new species of the genus Schizothorax from Sichuan, China (Cypriniformes: Cyprinidae)

Complete mitochondrial genome of the longicorn Anoplophora horsfieldi Hope (Coleoptera: Cerambycidae)


Genome-Wide Identification and Characterization of FBA Gene Family in Polyploid Crop Brassica napus

International journal of molecular sciences

Genome-wide characterization of ubiquitin-conjugating enzyme gene family explores its genetic effects on the oil content and yield of Brassica napus

Comparative Analysis of Tylosema esculentum Mitochondrial DNA Revealed Two Distinct Genome Structures


Segment Anything Labelling Tool

VDD: Varied Drone Dataset for Semantic Segmentation

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation

NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields


Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7

Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction

MS2Rescore: Data-Driven Rescoring Dramatically Boosts Immunopeptide Identification Rates

Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics

Removing the hidden data dependency of DIA with predicted spectral libraries

The impact of noise and missing fragmentation cleavages on de novo peptide identification algorithms

Computational and structural biotechnology journal


[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

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

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting

Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting


mPTP - a tool for single-locus species delimitation

Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlo

What DNA barcodes reveal: microhabitat preference, hunting strategy and dispersal ability drive genetic variation across Iberian spider species

Pragmatic Assignment of Species Groups Based on Primary Species Hypotheses: The Case of a Dominant Component of the Southern Ocean Benthic Fauna

Recurrent founder-event speciation across the Mediterranean likely shaped the species diversity and geographic distribution of the freshwater snail genus Mercuria Boeters, 1971 (Caenogastropoda: Hydrobiidae).


PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Learning hierarchical relationships for object-goal navigation

Learning Existing Social Conventions via Observationally Augmented Self-Play

Learning to Unknot

Learning Existing Social Conventions in Markov Games


Residual networks implementation using Keras-1.0 functional API

Deep Residual Learning for Image Recognition

Identity Mappings in Deep Residual Networks

Ludwig: a type-based declarative deep learning toolbox

New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey

High-quality Strong Lens Candidates in the Final Kilo-Degree Survey Footprint

ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.

Vehicle classification using ResNets, localisation and spatially-weighted pooling

Query Time Optimized Deep Learning Based Video Inference System


Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data


Modeling molecular ensembles with scalable data structures and parallel computing

The Cap-Snatching SFTSV Endonuclease Domain Is an Antiviral Target

Apolipoprotein E4 has extensive conformational heterogeneity in lipid-free and lipid-bound forms

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

Flap Dynamics in Pepsin-Like Aspartic Proteases: A Computational Perspective Using Plasmepsin-II and BACE-1 as Model Systems

The nepenthesin insert in the Plasmodium falciparum aspartic protease plasmepsin V is necessary for enzyme function


interior point solver for general convex conic optimization problems

Solving Natural Conic Formulations with Hypatia.jl

Quantum key distribution rates from semidefinite programming

Performance enhancements for a generic conic interior point algorithm

Conic Optimization with Spectral Functions on Euclidean Jordan Algebras

Sum of squares generalizations for conic sets

Computing Conjugate Barrier Information for Nonsymmetric Cones

Journal of Optimization Theory and Applications


TorchCFM: a Conditional Flow Matching library

Improving and generalizing flow-based generative models with minibatch optimal transport

Diffusion Schrödinger Bridge Matching

Simulation-free Schrödinger bridges via score and flow matching

On the Stability of Iterative Retraining of Generative Models on their own Data

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees

Light and Optimal Schrödinger Bridge Matching

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Neural Sinkhorn Gradient Flow

Switched Flow Matching: Eliminating Singularities via Switching ODEs


An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Self-Attention with Relative Position Representations

Improving the Transformer Translation Model with Document-Level Context

Modeling Localness for Self-Attention Networks

Accelerating Neural Transformer via an Average Attention Network

THUMT: An Open Source Toolkit for Neural Machine Translation

Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning

IsarStep: a Benchmark for High-level Mathematical Reasoning

Shared-Private Bilingual Word Embeddings for Neural Machine Translation


Ethereum Token Contracts

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

TokenHook: Secure ERC-20 smart contract

Learning Inputs in Greybox Fuzzing

Psamathe: A DSL with Flows for Safe Blockchain Assets


High throughput synchronous and asynchronous reinforcement learning

Proximal Policy Optimization Algorithms

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning

Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding


Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Reverb: A Framework For Experience Replay

When should agents explore?

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Return-based Scaling: Yet Another Normalisation Trick for Deep RL

Training a First-Order Theorem Prover from Synthetic Data

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems


Dai Stablecoin System

Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts

A Blockchain Ontology for DApps Development

CroCoDai: A Stablecoin for Cross-Chain Commerce


ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

PPT: Token Pruning and Pooling for Efficient Vision Transformers

PMG : Personalized Multimodal Generation with Large Language Models

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

SLAB: Efficient Transformers with Simplified Linear Attention and
  Progressive Re-parameterized Batch Normalization

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

DECO: Query-Based End-to-End Object Detection with ConvNets


C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

A global reference for human genetic variation

Real-time, portable genome sequencing for Ebola surveillance

Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls

dDocent: a RADseq, variant-calling pipeline designed for population genomics of non-model organisms

Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression

Genome sequences of two diploid wild relatives of cultivated sweetpotato reveal targets for genetic improvement

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

The genome of the yellow potato cyst nematode, Globodera rostochiensis, reveals insights into the basis of parasitism and virulence

Hybridization Capture Using RAD Probes (hyRAD), a New Tool for Performing Genomic Analyses on Collection Specimens

Global expansion of Mycobacterium tuberculosis lineage 4 shaped by colonial migration and local adaptation


SonarQube C++ Community plugin (cxx plugin): This plugin adds C++ support to SonarQube with the focus on integration of existing C++ tools.

Efficient Feature Selection for Static Analysis Vulnerability Prediction

Long-Term Evaluation of Technical Debt in Open-Source Software

A Study of Maintainability in Evolving Open-Source Software


flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.

Ariadne: analysis for machine learning programs

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts

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

Integration of Structured Biological Data Sources using Biological Expression Language


A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

MultiViz: Towards Visualizing and Understanding Multimodal Models

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Transformation Driven Visual Reasoning

Deep Embedded Non-Redundant Clustering

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

Object-wise Masked Autoencoders for Fast Pre-training

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects


NASBench: A Neural Architecture Search Dataset and Benchmark

NAS-Bench-101: Towards Reproducible Neural Architecture Search

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

How Powerful are Performance Predictors in Neural Architecture Search?

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

Generic Neural Architecture Search via Regression


A Keras port of Single Shot MultiBox Detector

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

CNN Based Detectors on Planetary Environments: A Performance Evaluation

Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats

SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch

A Novel Inspection System For Variable Data Printing Using Deep Learning

Open Source Assessment of Deep Learning Visual Object Detection


autoxgboost - Automatic tuning and fitting of xgboost

Automatic Gradient Boosting

Testing the Suitability of Automated Machine Learning for Weeds Identification

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


NuCypher fully homomorphic encryption (NuFHE) library implemented in Python

HEAX: An Architecture for Computing on Encrypted Data

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

Accelerating Encrypted Computing on Intel GPUs

MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory

FPT: A Fixed-Point Accelerator for Torus Fully Homomorphic Encryption

SoK: Fully Homomorphic Encryption Accelerators

Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping

ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications


Probabilistic, Non-Linear, Global-Search Earthquake Location in 3D Media

Aftershock Regions of Aleutian‐Alaska Megathrust Earthquakes, 1938–2021

Journal of Geophysical Research: Solid Earth

The 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake: relocated seismicity shows rupture of a complete shear-crack system


A Squeak/Smalltalk VM and Polyglot Programming Environment for the GraalVM.

Example-based live programming for everyone: building language-agnostic tools for live programming with LSP and GraalVM

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

GraalSqueak: toward a smalltalk-based tooling platform for polyglot programming

Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes

PolyJuS: a Squeak/Smalltalk-based polyglot notebook system for the GraalVM

Proceedings of the Conference Companion of the 3rd International Conference on Art, Science, and Engineering of Programming

Language-independent development environment support for dynamic runtimes

PROCEEDINGS OF THE 15TH ACM SIGPLAN INTERNATIONAL SYMPOSIUM ON DYNAMIC LANGUAGES (DLS '19)

User-defined interface mappings for the GraalVM

International Conference on the Art, Science and Engineering of Programming

Polyglot code finder

Efficient implementation of Smalltalk activation records in language implementation frameworks

Let Them Fail Towards VM built-in behavior that falls back to the program


Small portable AES128/192/256 in C

Secure Boot and Remote Attestation in the Sanctum Processor.

IEEE Computer Security Foundations Symposium

A Fast and Verified Software Stack for Secure Function Evaluation

ARMORY: Fully Automated and Exhaustive Fault Simulation on ARM-M Binaries

Semi-Automatic Locating of Cryptographic Operations in Side-Channel Traces

IACR Transactions on Cryptographic Hardware and Embedded Systems

Analysis of the NTRU Post-Quantum Cryptographic Scheme in Constrained IoT Edge Devices

Practical Multiple Persistent Faults Analysis

Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface

Feasibility Assessment of a Fine-Grained Access Control Model on Resource Constrained Sensors

C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap?

SPERO: Simultaneous Power/EM Side-channel Dataset Using Real-time and
  Oscilloscope Setups


The CBE Clima Tool is a web-based application built to support the need of architects and engineers interested in climate-adapted design.  It allows users to analyze the climate data of more than 27,500 locations worldwide using the data contained in EPW files.


A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Weight Uncertainty in Neural Networks

The Peril of Popular Deep Learning Uncertainty Estimation Methods

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography

A Potential Prognosis Indicator Based on P300 Brain–Computer Interface for Patients with Disorder of Consciousness

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

TyXe: Pyro-based Bayesian neural nets for Pytorch

Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training

Improving Compositionality of Neural Networks by Decoding Representations to Inputs

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models

Likelihood-Free Inference in State-Space Models with Unknown Dynamics


A DHT Indexer node & Peer Router

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

Passively Measuring IPFS Churn and Network Size

The Cloud Strikes Back: Investigating the Decentralization of IPFS

Proceedings of the 2023 ACM on Internet Measurement Conference

What's inside a node? Malicious IPFS nodes under the magnifying glass


Simulation framework

An Efficient Algorithm for Power Dominating Set


Phylogenetic orthology inference for comparative genomics

OrthoFinder: phylogenetic orthology inference for comparative genomics

Modular Traits of the Rhizobiales Root Microbiota and Their Evolutionary Relationship with Symbiotic Rhizobia

A super pan-genomic landscape of rice

PRMD: an integrated database for plant RNA modifications

A resource for improved predictions of Trypanosoma and Leishmania protein three-dimensional structure

A High-Quality Genome Sequence of Model Legume Lotus japonicus (MG-20) Provides Insights into the Evolution of Root Nodule Symbiosis

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology

Pan‐genome: A promising resource for noncoding RNA discovery in plants

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

Phosphoregulation of DSB-1 mediates control of meiotic double-strand break activity


Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Segment Anything

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Segment Everything Everywhere All at Once

Segment Anything in High Quality

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code


Design of experiments for Python

Mining gravitational-wave catalogs to understand binary stellar evolution: A new hierarchical Bayesian framework

Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

Soil hydraulic material properties and layered architecture from time-lapse GPR

Effect of unrepresented model errors on estimated soil hydraulic material properties

PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey

Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

Deep Learning Voigt Profiles. I. Single-Cloud Doublets

KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear


[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints

Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo

IEEE transactions on pattern analysis and machine intelligence


KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

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

IEEE transactions on neural networks and learning systems

Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

Neural Contextual Anomaly Detection for Time Series

Do deep neural networks contribute to multivariate time series anomaly detection?

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

A Survey on Time-Series Pre-Trained Models

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection


Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users

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

Is artificial data useful for biomedical Natural Language Processing algorithms?

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation

ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task

International Joint Conference on Natural Language Processing

Dataset Creation Framework for Personalized Type-Based Facet Ranking Tasks Evaluation


Deep End-to-end Causal Inference

Simultaneous Missing Value Imputation and Structure Learning with Groups

Towards Causal Foundation Model: on Duality between Causal Inference and Attention

Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning

Neural Structure Learning with Stochastic Differential Equations

VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions

NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets

Castor: Causal Temporal Regime Structure Learning

FiP: a Fixed-Point Approach for Causal Generative Modeling


Recopilación de datos de COVID19 por provincias en España

COnVIDa: COVID-19 multidisciplinary data collection and dashboard

Mass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19

Disparities in the Evolution of the COVID-19 Pandemic between Spanish Provinces

International journal of environmental research and public health

Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe

On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain

Vaccination compartmental epidemiological models for the delta and omicron SARS-CoV-2 variants


[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

To Make Yourself Invisible with Adversarial Semantic Contours


Awesome Domain Adaptation Python Toolbox

Unsupervised Domain Adaptation by Backpropagation

Adversarial Discriminative Domain Adaptation

Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks

HAL (Le Centre pour la Communication Scientifique Directe)

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Conditional Adversarial Domain Adaptation

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Unified Deep Supervised Domain Adaptation and Generalization

Bridging Theory and Algorithm for Domain Adaptation

Correlation Alignment for Unsupervised Domain Adaptation


Python software used in the International Land Model Benchmarking (ILAMB) project

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition

Journal of advances in modeling earth systems

Description and evaluation of the JULES-ES set-up for ISIMIP2b

Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)


Violin Plots for Matlab

Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction

Ex vivo live cell tracking in kidney organoids using light sheet fluorescence microscopy

Multiplexed single-cell profiling of chromatin states at genomic loci by expansion microscopy

Diverse states and stimuli tune olfactory receptor expression levels to modulate food-seeking behavior

Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries

Visualization of Sugar Content Distribution of White Strawberry by Near-Infrared Hyperspectral Imaging

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm

Long-term transverse imaging of the hippocampus with glass microperiscopes

Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration

Object detection neural network improves Fourier ptychography reconstruction


Fast implementation of the edit distance(Levenshtein distance)

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation

TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites

The Golden Eras of Graphene Science and Technology: Bibliographic Evidences From Journal and Patent Publications

ngsComposer: an automated pipeline for empirically based NGS data quality filtering

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Multi-Task Learning for Argumentation Mining

Covering a sentence in form and meaning with fewer retrieved sentences

Pacific Asia Conference on Language, Information and Computation

GLOBE: A High-quality English Corpus with Global Accents for Zero-shot
  Speaker Adaptive Text-to-Speech

Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data

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


:whale: Scripps Whale Acoustics Lab   :earth_americas: Scripps Acoustic Ecology Lab - Triton with remoras in development

Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods

Ultrasonic antifouling devices negatively impact Cuvier’s beaked whales near Guadalupe Island, México

SoundScape learning: An automatic method for separating fish chorus in marine soundscapes.

The Journal of the Acoustical Society of America

Characterizing the Long-Term, Wide-Band and Deep-Water Soundscape Off Hawai’i

First Description of the Underwater Sounds in the Mediterranean Monk Seal Monachus monachus in Greece: Towards Establishing a Vocal Repertoire

Animals : an open access journal from MDPI


A large annotated semantic parsing corpus for developing natural language interfaces.

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Deep Reinforcement Learning For Sequence to Sequence Models

Natural Language Processing Advancements By Deep Learning: A Survey

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

Semantic Parsing with Syntax- and Table-Aware SQL Generation

Hybrid Ranking Network for Text-to-SQL

A survey on deep learning approaches for text-to-SQL

Question Generation from SQL Queries Improves Neural Semantic Parsing


Bayesian learning and inference for state space models

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

Time-varying Autoregression with Low Rank Tensors

Unifying and generalizing models of neural dynamics during decision-making

Propofol Mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy

A layered, hybrid machine learning analytic workflow for mouse risk assessment behavior

Limitations of a proposed correction for slow drifts in decision criterion

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice

Mesoscopic modeling of hidden spiking neurons


light NN client

Deep Sets

MLaaS4HEP: Machine Learning as a Service for HEP

HL-LHC Computing Review: Common Tools and Community Software

C++ Code Generation for Fast Inference of Deep Learning Models in ROOT/TMVA

Machine Learning as a Service for HEP


Multivariate Imputation by Chained Equations

Multiple imputation using chained equations: Issues and guidance for practice

Learning Individual Models for Imputation (Technical Report)

R-miss-tastic: a unified platform for missing values methods and workflows

Impact of sleep problems on daytime function in school life: a cross-sectional study involving Japanese university students

Solving the many-variables problem in MICE with principal component regression

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Dementia Prediction on OASIS Dataset using Supervised and Ensemble Learning Techniques

International Journal of Engineering and Advanced Technology

A systematic review and meta-analysis of pathogen reduction in onsite sanitation systems

Comparative Bleeding Risk of Brand Vs Generic Rivaroxaban in Elderly Inpatients with Atrial Fibrillation


cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

An Empirical Study of Fault Localization Families and Their Combinations

Deep Learning with Dynamic Computation Graphs

Joey NMT: A Minimalist NMT Toolkit for Novices

Toxic Code Snippets on Stack Overflow

IEEE Transactions on Software Engineering

Keystone: An Open Framework for Architecting TEEs

Streaming graph challenge: Stochastic block partition

IEEE High Performance Extreme Computing Conference

Is this GitHub project maintained? Measuring the level of maintenance activity of open-source projects

Vadere: An open-source simulation framework to promote interdisciplinary understanding

Better Together? An Evaluation of AI-Supported Code Translation

International Conference on Intelligent User Interfaces

Automated Unit Test Generation for Python

Symposium on Search Based Software Engineering


OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

OpenSpiel: A Framework for Reinforcement Learning in Games

Deep Counterfactual Regret Minimization

Mastering the game of Stratego with model-free multiagent reinforcement learning

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

α-Rank: Multi-Agent Evaluation by Evolution

Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications

Re-evaluating Evaluation

A Generalized Training Approach for Multiagent Learning


Official code for "Tiny Object Detection in Aerial Images".

Tiny Object Detection in Aerial Images

International Conference on Pattern Recognition

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8

MPE-YOLO: enhanced small target detection in aerial imaging

Improved Detection Method for Micro-Targets in Remote Sensing Images


Calculate signed distance fields for arbitrary meshes

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Object Motion Guided Human Motion Synthesis

NeuralFusion: Online Depth Fusion in Latent Space

Adversarial Generation of Continuous Implicit Shape Representations

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Distributionally Robust Policy Learning via Adversarial Environment Generation

Learning Online Multi-Sensor Depth Fusion

FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics


Program for estimating πN/πS, dN/dS, and other diversity measures from next-generation sequencing data

Transmission of SARS-CoV-2 in domestic cats imposes a narrow bottleneck

bioRxiv : the preprint server for biology

Dynamically evolving novel overlapping gene as a factor in the SARS-CoV-2 pandemic

Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia

Genetic variation of staphylococcal LukAB toxin determines receptor tropism

Selective constraint and adaptive potential of West Nile virus within and among naturally infected avian hosts and mosquito vectors

Limited SARS-CoV-2 diversity within hosts and following passage in cell culture

Phylogenomic Analysis of Human Papillomavirus Type 31 and Cervical Carcinogenesis: A Study of 2093 Viral Genomes

Divergent Pathogenesis and Transmission of Highly Pathogenic Avian Influenza A(H5N1) in Swine

Vaccination decreases the risk of influenza A virus reassortment but not genetic variation in pigs

Novel quantitative trait loci from an interspecific Brassica rapa derivative improve pod shatter resistance in Brassica napus


Population Gene Introgression and High Genome Plasticity for the Zoonotic Pathogen Streptococcus agalactiae

ProphET, prophage estimation tool: A stand-alone prophage sequence prediction tool with self-updating reference database

ProphET, Prophage Estimation Tool: a standalone prophage sequence prediction tool with self-updating reference database


Long Range Arena for Benchmarking Efficient Transformers

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Long Range Arena: A Benchmark for Efficient Transformers

Random Feature Attention

Flowformer: Linearizing Transformers with Conservation Flows

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences

Leveraging redundancy in attention with Reuse Transformers

On Learning the Transformer Kernel

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention


An open-source orbit-computation package for Solar System objects.

REALISTIC DETECTABILITY OF CLOSE INTERSTELLAR COMETS

NEOMOD: A New Orbital Distribution Model for Near-Earth Objects

Asteroid Photometry from the Transiting Exoplanet Survey Satellite: A Pilot Study

The Astrophysical Journal Supplement Series

Monitoring near-Earth-object discoveries for imminent impactors

Masses, bulk densities, and macroporosities of asteroids (15) Eunomia, (29) Amphitrite, (52) Europa, and (445) Edna based on Gaia astrometry


A tool for profiling long STRs from short reads

Profiling the genome-wide landscape of tandem repeat expansions

Genome-wide identification of tandem repeats associated with splicing variation across 49 tissues in humans

A genome-wide spectrum of tandem repeat expansions in 338,963 humans

A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice

Insights from a genome-wide truth set of tandem repeat variation

A comparison of software for analysis of rare and common short tandem repeat (STR) variation using human genome sequences from clinical and population-based samples