C++ implementation of a fast hash map and hash set using robin hood hashing

Benchmarking Learned Indexes

PSF-LO: Parameterized Semantic Features Based Lidar Odometry

Dynamic Path-Decomposed Tries

LSI: A Learned Secondary Index Structure

Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling

Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys

GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis

Design of a Resilient, High-Throughput, Persistent Storage System for the ATLAS Phase-II DAQ System


A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Visual Instruction Tuning

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models


Feature as a Counter Parser for Networkmetrics

Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

Multivariate Big Data Analysis for intrusion detection: 5 steps from the haystack to the needle

Multivariate Statistical Network Monitoring–Sensor: An effective tool for real-time monitoring and anomaly detection in complex networks and systems

International Journal of Distributed Sensor Networks

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection

Methodology for Collecting a Training Dataset for an Intrusion Detection Model

Труды Института системного программирования РАН


Process consensus file for COG-UK data

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

The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows

Rapid feedback on hospital onset SARS-CoV-2 infections combining epidemiological and sequencing data

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections

An epidemiological investigation of COVID-19 outbreaks in a group of care homes in Wales, UK: a retrospective cohort study

Journal of public health (Oxford, England)

Publisher Correction: Genomic epidemiology reveals multiple introductions of SARS-CoV-2 from mainland Europe into Scotland


Weak lensing fast simulations and analysis of blended objects.

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

Mitigating Shear-dependent Object Detection Biases with Metacalibration

Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time

Monthly Notices of the Royal Astronomical Society

Effects of overlapping sources on cosmic shear estimation: Statistical sensitivity and pixel-noise bias

Journal of Cosmology and Astroparticle Physics

Metadetection Weak Lensing for the Vera C. Rubin Observatory

Intrinsic alignment from multiple shear estimates: A first application to data and forecasts for Stage IV

A Differentiable Perturbation-based Weak Lensing Shear Estimator


BabyAI platform. A testbed for training agents to understand and execute language commands.

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Retrieval-Augmented Reinforcement Learning

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

BabyAI 1.1

Mastering emergent language: learning to guide in simulated navigation

Internally Rewarded Reinforcement Learning

Planning with Sequence Models through Iterative Energy Minimization

AgentGym: Evolving Large Language Model-based Agents across Diverse
  Environments


On the Variance of the Adaptive Learning Rate and Beyond

Generative Feature-driven Image Replay for Continual Learning

Match What Matters: Generative Implicit Feature Replay for Continual Learning.


GWAS Pipeline for H3Africa

Developing reproducible bioinformatics analysis workflows for heterogeneous computing environments to support African genomics

Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience

Genetic associations with carotid intima-media thickness link to atherosclerosis with sex-specific effects in sub-Saharan Africans

SWATH-MS based proteomic profiling of pancreatic ductal adenocarcinoma tumours reveals the interplay between the extracellular matrix and related intracellular pathways

Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study

Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community

Genetic association and transferability for urinary albumin-creatinine ratio as a marker of kidney disease in four Sub-Saharan African populations and non-continental individuals of African ancestry

medRxiv : the preprint server for health sciences


JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

SafeDreamer: Safe Reinforcement Learning with World Models

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

A Survey of Constraint Formulations in Safe Reinforcement Learning

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Reduced Policy Optimization for Continuous Control with Hard Constraints

Off-Policy Primal-Dual Safe Reinforcement Learning


:earth_americas: Verification of weather and climate forecasts :earth_africa:

Trivial improvements of predictive skill due to direct reconstruction of global carbon cycle


FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Communication-Efficient Learning of Deep Networks from Decentralized Data

A Field Guide to Federated Optimization

FedJAX: Federated learning simulation with JAX

Communication-Efficient Agnostic Federated Averaging

FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning

On Noisy Evaluation in Federated Hyperparameter Tuning


Sequence correction provided by ONT Research

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

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Trycycler: consensus long-read assemblies for bacterial genomes

Retrospective detection of asymptomatic monkeypox virus infections among male sexual health clinic attendees in Belgium

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

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

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

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

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

A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity


Hyperparameter Experiments with TensorFlow and Keras

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

SDN-Based Architecture for Transport and Application Layer DDoS Attack Detection by Using Machine and Deep Learning

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

An all-photonic focal-plane wavefront sensor

A deep learning model to emulate simulations of cosmic reionization

Monthly notices of the Royal Astronomical Society

Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments

An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions

RASPD+: Fast Protein-Ligand Binding Free Energy Prediction Using Simplified Physicochemical Features

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

IEEE journal of translational engineering in health and medicine


Smart contracts which are formally verified

(In)Stability for the Blockchain: Deleveraging Spirals and Stablecoin Attacks

End-to-End Formal Verification of Ethereum 2.0 Deposit Smart Contract

Deductive Verification of Smart Contracts with Dafny

How Does Naming Affect LLMs on Code Analysis Tasks?

Verification of the Incremental Merkle Tree Algorithm with Dafny

User Experience with Language-Independent Formal Verification

Expiring Assets in Automated Market Makers


Tools for atmospheric research

An experimental 2D-Var retrieval using AMSR2


A comparison of different Oxford Nanopore basecallers

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Antimicrobial resistance prediction and phylogenetic analysis of Neisseria gonorrhoeae isolates using the Oxford Nanopore MinION sequencer

Completing Circular Bacterial Genomes With Assembly Complexity by Using a Sampling Strategy From a Single MinION Run With Barcoding

Strategies and tools in illumina and nanopore‐integrated metagenomic analysis of microbiome data

poreTally: run and publish de novo Nanopore assembler benchmarks


A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Sharpness-Aware Minimization for Efficiently Improving Generalization


RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Modeling Context in Referring Expressions

GuessWhat?! Visual object discovery through multi-modal dialogue

RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge


A Mashup Interface for Text Analysis Operations

A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield et al.'s case

A quantitative and qualitative open citation analysis of retracted articles in the humanities

A protocol to gather, characterize and analyze incoming citations of retracted articles

MITAO: A User Friendly and Modular Software for Topic Modelling

MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies


Point Mamba

PCT: Point cloud transformer

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

OctFormer: Octree-based Transformers for 3D Point Clouds

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model
  with Octree-Based Ordering Strategy


Pytorch implementation of  Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Empirical Methods in Natural Language Processing

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing


Geometry Uncertainty Projection Network for Monocular 3D Object Detection

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection


Python implementation of performance metrics in Loizou's Speech Enhancement book

Universal Speech Enhancement with Score-based Diffusion

Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

Extending Audio Masked Autoencoders toward Audio Restoration

An Empirical Study on Speech Restoration Guided by Self-Supervised Speech Representation

IEEE International Conference on Acoustics, Speech, and Signal Processing

Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source

Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source


Direct Attentive Dependency Parser

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies

International Workshop/Conference on Parsing Technologies

Out-of-Domain Evaluation of Finnish Dependency Parsing

When Only Time Will Tell: Interpreting How Transformers Process Local
  Ambiguities Through the Lens of Restart-Incrementality


An SDR LoRa implementation for R&D

Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Software Defined Radio Platforms for Wireless Technologies

Characterizing the Impact of Doppler Effects on Body-Centric LoRa Links with SDR


Generative adversarial network for generating electronic health records.

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Differentially private synthetic medical data generation using convolutional GANs

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Generating Synthetic but Plausible Healthcare Record Datasets

Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study


Security Analysis tool for WebAssembly module (wasm) and Blockchain Smart Contracts (BTC/ETH/NEO/EOS)

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

Zenodo (CERN European Organization for Nuclear Research)

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassembly-level

Security Analysis of EOSIO Smart Contracts

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode


[Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models

Deep Image Matting

Matte Anything: Interactive Natural Image Matting with Segment Anything Models

Matte anything: Interactive natural image matting with segment anything model


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

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

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

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


[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration.  Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

SwinIR: Image Restoration Using Swin Transformer

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution


Public repository for Coptic SCRIPTORIUM Corpora Releases

Named Entity Recognition and Classification in Historical Documents: A Survey

Exhaustive Entity Recognition for Coptic: Challenges and Solutions

Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts


The stochastic collision risk model toolbox


A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

FinBERT: A Pretrained Language Model for Financial Communications

FiNER: Financial Numeric Entity Recognition for XBRL Tagging

A Survey of Large Language Models in Finance (FinLLMs)

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


Interpretation of cell states using reference single-cell maps

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

A CD4+ T cell reference map delineates subtype-specific adaptation during acute and chronic viral infections

Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases

SPICA: Swiss portal for immune cell analysis

Projecting single-cell transcriptomics data onto a reference T cell atlas to interpret immune responses

T Cell Clonal Analysis Using Single-cell RNA Sequencing and Reference Maps


ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.

ScienceWorld: Is your Agent Smarter than a 5th Grader?

AgentGym: Evolving Large Language Model-based Agents across Diverse
  Environments

A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld


Implementation of topic models based on neural network approaches.

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Neural Topic Modeling with Bidirectional Adversarial Training

Topic Modeling in Embedding Spaces

Neural Attention-Aware Hierarchical Topic Model


rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data

Low Frequency Systemic Hemodynamic “Noise” in Resting State BOLD fMRI: Characteristics, Causes, Implications, Mitigation Strategies, and Applications

Correcting for Blood Arrival Time in Global Mean Regression Enhances Functional Connectivity Analysis of Resting State fMRI-BOLD Signals

Cerebral Motor Functional Connectivity at the Acute Stage: An Outcome Predictor of Ischemic Stroke

A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI

Altered brain perfusion and oxygen levels relate to sleepiness and attention in post‐COVID syndrome

Annals of Clinical and Translational Neurology

WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions


Multi-Output Gaussian Process Toolkit

MOGPTK: The Multi-Output Gaussian Process Toolkit

SAMBA: Safe Model-Based & Active Reinforcement Learning

Federated Estimation of Causal Effects from Observational Data

Gaussian process imputation of multiple financial series

Detecting the periodicity of highly irregularly sampled light-curves with Gaussian processes: the case of SDSS J025214.67-002813.7

Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures


BAGEL software

Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier

Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens

Biases and Blind-Spots in Genome-Wide CRISPR Knockout Screens

Multiplex enCas12a screens show functional buffering by paralogs is systematically absent from genome-wide CRISPR/Cas9 knockout screens

DePARylation is critical for S phase progression and cell survival

Recovering false negatives in CRISPR fitness screens with JLOE


SKA Radio Telescope Simulator

A Simplified, Lossless Reanalysis of PAPER-64

Comparing foreground removal techniques for recovery of the LOFAR-EoR 21 cm power spectrum

Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method

A Unified Calibration Framework for 21 cm Cosmology

Studying the morphology of reionization with the triangle correlation function of phases

The bispectrum and 21-cm foregrounds during the Epoch of Reionization

Contribution of Radio Halos to the Foreground for SKA EoR Experiments

First look at the multiphase interstellar medium using synthetic observations from low-frequency Faraday tomography

Contribution of Galactic free–free emission to the foreground for EoR signal in SKA experiments

Observing the reionization: effect of calibration and position errors on realistic observation conditions


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


Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

Focal Loss for Dense Object Detection

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

mixup: Beyond Empirical Risk Minimization

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Weight Uncertainty in Neural Networks

Averaging Weights Leads to Wider Optima and Better Generalization

Snapshot Ensembles: Train 1, get M for free

Evidential Deep Learning to Quantify Classification Uncertainty

A Simple Baseline for Bayesian Uncertainty in Deep Learning

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning


H2Lib public repository

hm-toolbox: Matlab software for HODLR and HSS matrices

Fast Approximate Computations with Cauchy Matrices and Polynomials

Boundary element methods for the wave equation based on hierarchical matrices and adaptive cross approximation

Modeling of Spatial Uncertainties in the Magnetic Reluctivity

CUR Low Rank Approximation at Deterministic Sublinear Cost


Library for graphical models of decision making, based on pgmpy and networkx

Agent Incentives: A Causal Perspective

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice

PyCID: A Python Library for Causal Influence Diagrams

Proceedings of the Python in Science Conferences

A Complete Criterion for Value of Information in Soluble Influence Diagrams


Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Decompiling x86 Deep Neural Network Executables

Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization


PDEBench: An Extensive Benchmark for Scientific Machine Learning

Fourier Neural Operator for Parametric Partial Differential Equations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Multiple Physics Pretraining for Physical Surrogate Models

Learning Neural PDE Solvers with Parameter-Guided Channel Attention

PDEformer: Towards a Foundation Model for One-Dimensional Partial
  Differential Equations

Neural Operators with Localized Integral and Differential Kernels

Data-Efficient Operator Learning via Unsupervised Pretraining and
  In-Context Learning

Active Learning for Neural PDE Solvers


A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction

SML-Bench - A benchmarking framework for structured machine learning

Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Optimal Minimal Margin Maximization with Boosting

Silas: High Performance, Explainable and Verifiable Machine Learning

Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference

IEEE International Parallel and Distributed Processing Symposium

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers

Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning

Scalable Feature Selection for (Multitask) Gradient Boosted Trees

Factorization Machines with Regularization for Sparse Feature Interactions


Compilation, analysis and optimization framework for the Scaffold quantum programming language.

Open Quantum Assembly Language

Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights

Open source software in quantum computing

Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

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

QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation

Quantum computing with Qiskit

Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers

Efficient decomposition methods for controlled-Rn using a single ancillary qubit

Formal constraint-based compilation for noisy intermediate-scale quantum systems


SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Transition-based Parsing with Stack-Transformers

Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

Pushing the Limits of AMR Parsing with Self-Learning

Inducing and Using Alignments for Transition-based AMR Parsing

Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach


A Python package to facilitate ocean model data analysis and visualization.

OceanSpy: A Python package to facilitate ocean model data analysis and visualization


Vitis HLS Library for FINN

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

HALF: Holistic Auto Machine Learning for FPGAs

International Conference on Field-Programmable Logic and Applications

Embedded Object Detection with Custom LittleNet, FINN and Vitis AI DCNN Accelerators

Journal of Low Power Electronics and Applications

Hardware-Efficient Deconvolution-Based GAN for Edge Computing


A CRF-based ASR Toolkit

CRF-based Single-stage Acoustic Modeling with CTC Topology

International Conference on Acoustics, Speech, and Signal Processing

CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency

CTC Variations Through New WFST Topologies

CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR

Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings

Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers

CAT: CRF-based ASR Toolkit

Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision

Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition


Python Framework to analyse Git repositories

CVEfixes: automated collection of vulnerabilities and their fixes from open-source software

Predictive Models in Software Engineering

Evaluating SZZ Implementations Through a Developer-informed Oracle

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

Are Game Engines Software Frameworks? A Three-perspective Study

Code Smells in Machine Learning Systems

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring

Exploring multi-programming-language commits and their impacts on software quality: An empirical study on Apache projects

Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review

Tooling for time- and space-efficient git repository mining

Proceedings of the 19th International Conference on Mining Software Repositories


Versatile framework for multi-party computation

Privacy Preserving Vertical Federated Learning for Tree-based Models

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Secure Evaluation of Quantized Neural Networks

Proceedings on Privacy Enhancing Technologies

Secure and Efficient Federated Transfer Learning

On a Generalization of Substitution-Permutation Networks: The HADES Design Strategy

Theory and Application of Cryptographic Techniques

SIRNN: A Math Library for Secure RNN Inference

MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent

Privacy-Preserving Decentralized Exchange Marketplaces

Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection

Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning


Forecasting Functions for Time Series and Linear Models

Warming advances top-down control and reduces producer biomass in a freshwater plankton community

Climate Based Predictability of Oil Palm Tree Yield in Malaysia

Investor Happiness and Predictability of the Realized Volatility of Oil Price

Clinical and Epidemiologic Patterns of Chikungunya Virus Infection and Coincident Arboviral Disease in a School Cohort in Haiti, 2014–2015

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data

Statistical Emulators for Pricing and Hedging Longevity Risk Products

Repeated flood disturbance enhances rotifer dominance and diversity in a zooplankton community of a small dammed mountain pond

Extracting Conditionally Heteroskedastic Components using Independent Component Analysis

Month-wise variation and prediction of bulk tank somatic cell count in Brazilian dairy herds and its impact on payment based on milk quality

The fewer, the better fare: Can the loss of vegetation in the Cerrado drive the increase in dengue fever cases infection?


Automatically exported from code.google.com/p/rough-auditing-tool-for-security

Ranking Warnings of Static Analysis Tools Using Representation Learning

Comparative Assessment of Static Analysis Tools for Software Vulnerability

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?

Software Vulnerability Detection Using Informed Code Graph Pruning


A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

Parrot: Multilingual Visual Instruction Tuning

Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Wings: Learning Multimodal LLMs without Text-only Forgetting


Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.

A Richly Annotated Dataset for Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

PG-GSQL: Pointer-Generator Network with Guide Decoding for Cross-Domain Context-Dependent Text-to-SQL Generation

International Conference on Computational Linguistics


Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Interpreting the Latent Space of GANs for Semantic Face Editing

Image2StyleGAN++: How to Edit the Embedded Images?

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Unconstrained Facial Expression Transfer using Style-based Generator


PyTorch code for SpERT: Span-based Entity and Relation Transformer

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

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

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!

Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks

Proceedings of the Sixth Workshop on Structured Prediction for NLP

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Joint Entity and Relation Extraction Network with Enhanced Explicit and Implicit Semantic Information

Extracting Material Property Measurement Data from Scientific Articles

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


The global fossil fuel supply chain, mapped at the asset-level.


Tensorflow-DenseNet with ImageNet Pretrained Models

Densely Connected Convolutional Networks

Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation

Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images

ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Training Meta-Surrogate Model for Transferable Adversarial Attack

Secure Medical Image Analysis with CrypTFlow


Cross-view Supervised Learning

Predicting Ground-Level Scene Layout from Aerial Imagery

Cross-View Image Matching for Geo-localization in Urban Environments

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization


Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

A Closer Look at Few-shot Classification

Meta-Learning with Differentiable Convex Optimization

Meta-Learning with Latent Embedding Optimization


Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

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

Insights Into LSTM Fully Convolutional Networks for Time Series Classification

Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification

International Journal of Advanced Computer Science and Applications

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information

ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data

International Convention on Information and Communication Technology, Electronics and Microelectronics


Machine-readable Wiktionary

Watset: Automatic Induction of Synsets from a Graph of Synonyms

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint

YARN: Spinning-in-Progress

Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction

The comparison of Wiktionary thesauri transformed into the machine-readable format

Evaluating a Multi-sense Definition Generation Model for Multiple Languages

Calculated attributes of synonym sets


treeWAS: A Phylogenetic Tree-Based Tool for Genome-Wide Association Studies in Microbes

A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination

A comprehensive analysis of genetic diversity of EBV reveals potential high-risk subtypes associated with nasopharyngeal carcinoma in China

Genetic variants linked to the phenotypic outcome of invasive disease and carriage of Neisseria meningitidis


Repository for Med2Vec project

Multi-layer Representation Learning for Medical Concepts

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding


Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Benchmarking Deep Reinforcement Learning for Continuous Control

Unsupervised Meta-Learning for Reinforcement Learning

Deep Reinforcement Learning

A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning

Model-Agnostic Meta-Learning using Runge-Kutta Methods


software package for integrative genetic association analysis

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

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

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

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

MARS: leveraging allelic heterogeneity to increase power of association testing

Zenodo (CERN European Organization for Nuclear Research)


PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

Learned Lossless Image Compression Through Interpolation With Low Complexity

GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression

Learned Lossless Compression for JPEG via Frequency-Domain Prediction


The jBPT code library is a compendium of technologies that support research on design, execution, and evaluation of business processes. The library offers a broad range of basis analysis and utility functionality and, due to its open publishing model, can easily be extended.

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining

Optimization-Based Business Process Model Matching


Instruction Tuning with GPT-4

A General Language Assistant as a Laboratory for Alignment

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

TrustLLM: Trustworthiness in Large Language Models

On the Exploitability of Instruction Tuning

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

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning


The StarCraft Multi-Agent Challenge

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


Deep Learning for 3D Point Clouds: A Survey

Fast-SCNN: Fast Semantic Segmentation Network

SalsaNext: Fast, Uncertainty-Aware Semantic Segmentation of LiDAR Point Clouds

Deep Projective 3D Semantic Segmentation

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

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

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models


A library for performing constrained optimization in TensorFlow

Fairness in Machine Learning: A Survey

Two-Player Games for Efficient Non-Convex Constrained Optimization

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

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

FairGrad: Fairness Aware Gradient Descent

Consistent Multiclass Algorithms for Complex Metrics and Constraints

Optimizing Black-box Metrics with Iterative Example Weighting

Optimizing Generalized Rate Metrics through Game Equilibrium


Line-granularity, thread-aware deterministic and statistic pure-python profiler

Triangulating Python Performance Issues with Scalene

Toward efficient interactions between Python and native libraries

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Zenix: Efficient Execution of Bulky Serverless Applications


Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis

Selective vulnerability of layer 5a corticostriatal neurons in Huntington’s disease

bioRxiv : the preprint server for biology

Pax6 limits the competence of developing cerebral cortical cells to respond to inductive intercellular signals

Single-nucleus chromatin accessibility and RNA sequencing reveal impaired brain development in prenatally e-cigarette exposed neonatal rats

Zeb2 regulates differentiation of long-lived effector of invariant natural killer T cells


baltic - backronymed adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. Development is back on the evogytis/baltic branch (i.e. here).

Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity

COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study

Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

Emergence in late 2020 of multiple lineages of SARS-CoV-2 Spike protein variants affecting amino acid position 677

medRxiv : the preprint server for health sciences

Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

Genomic epidemiology identifies emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States

Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay

The episodic resurgence of highly pathogenic avian influenza H5 virus

Acute SARS-CoV-2 infections harbor limited within-host diversity and transmit via tight transmission bottlenecks

Ebola Virus Transmission Initiated by Relapse of Systemic Ebola Virus Disease


Automated brain PET analysis pipeline

Magia: Robust automated image processing and kinetic modeling toolbox for PET neuroinformatics

Seasonal Variation in the Brain μ-Opioid Receptor Availability

The Journal of neuroscience : the official journal of the Society for Neuroscience

Cerebral μ-opioid and CB1-receptor systems have distinct roles in human feeding behavior

Alterations in type 2 dopamine receptors across neuropsychiatric conditions: A large-scale PET cohort


CMU US English Dictionary

Instruction Induction: From Few Examples to Natural Language Task Descriptions

SkillVet: Automated Traceability Analysis of Amazon Alexa Skills

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

Content based singing voice source separation via strong conditioning using aligned phonemes

On Biasing Transformer Attention Towards Monotonicity

Unsupervised Lexical Substitution with Decontextualised Embeddings

Semantic properties of English nominal pluralization: Insights from word embeddings

PronouncUR: An Urdu Pronunciation Lexicon Generator

Making sense of spoken plurals

Speech Data Augmentation for Improving Phoneme Transcriptions of Aphasic Speech Using Wav2Vec 2.0 for the PSST Challenge


Neurosynth core tools

Movie viewing elicits rich and reliable brain state dynamics

Topographic gradients of intrinsic dynamics across neocortex

Large-scale resting state network correlates of cognitive impairment in Parkinson's disease and related dopaminergic deficits

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

Activation network mapping for integration of heterogeneous fMRI findings

A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain

Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context

Molecular signatures of cognition and affect

Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease

Health news sharing is reflected in distributed reward-related brain activity

Social cognitive and affective neuroscience


Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

Ontology Alignment Based on Word Embedding and Random Forest Classification

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT I

Towards Anticipation of Architectural Smells using Link Prediction Techniques

Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning

International Joint Conference on Natural Language Processing

Visualizing test diversity to support test optimisation

Using mutation testing to measure behavioural test diversity

International Conference on Software Testing, Verification and Validation Workshops

Estimating Uniqueness of I-Vector Representation of Human Voice

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers

Ensemble-Based Relationship Discovery in Relational Databases


HMMER: biological sequence analysis using profile HMMs

Remote homology search with hidden Potts models

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


High-quality Nanopore-only genome polisher

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

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

Insight into the Mechanisms of Carbapenem Resistance in Klebsiella pneumoniae: A Study on IS26 Integrons, Beta-Lactamases, Porin Modifications, and Plasmidome Analysis

Integrative and Conjugative Elements and Prophage DNA as Carriers of Resistance Genes in Erysipelothrix rhusiopathiae Strains from Domestic Geese in Poland

International Journal of Molecular Sciences


Toolbox for including enzyme constraints on a genome-scale model.

Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints

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

Conjugation dynamics depend on both the plasmid acquisition cost and the fitness cost

Metastatic triple negative breast cancer adapts its metabolism to destination tissues while retaining key metabolic signatures

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

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

Diauxic lags explain unexpected coexistence in multi-resource environments

A spatial model of the plant circadian clock reveals design principles for coordinated timing

Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation

The Expanding Computational Toolbox for Engineering Microbial Phenotypes at the Genome Scale

Proteomics and constraint-based modelling reveal enzyme kinetic properties ofChlamydomonas reinhardtiion a genome scale


RobotDART: a versatile robot simulator for robotics and machine learning researchers

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity

Hierarchical quality-diversity for online damage recovery

Proceedings of the Genetic and Evolutionary Computation Conference

First Do Not Fall: Learning to Exploit a Wall With a Damaged Humanoid Robot

Robot Design With Neural Networks, MILP Solvers and Active Learning


Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning

Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning

UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting

Group Personalized Federated Learning

Fingerprint Attack: Client De-Anonymization in Federated Learning

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs


HyPhy: Hypothesis testing using Phylogenies

Relaxed selection underlies genome erosion in socially parasitic ant species

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

Genomic Signature of Shifts in Selection in a Subalpine Ant and Its Physiological Adaptations

Molecular Evolution of Porcine Reproductive and Respiratory Syndrome Virus Field Strains from Two Swine Production Systems in the Midwestern United States from 2001 to 2020

Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses

Random Genetic Drift and Selective Pressures Shaping the Blattabacterium Genome

paPAML: An Improved Computational Tool to Explore Selection Pressure on Protein-Coding Sequences

Chromosome genome assembly and whole genome sequencing of 110 individuals of Conogethes punctiferalis (Guenée)


Snorkel MeTaL: A framework for training models with multi-task weak supervision

An Overview of Multi-Task Learning in Deep Neural Networks

Snorkel: Rapid Training Data Creation with Weak Supervision

Data Programming: Creating Large Training Sets, Quickly

Training Complex Models with Multi-Task Weak Supervision


DESI Targeting

The DESI Experiment Part II: Instrument Design

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

Survey Operations for the Dark Energy Spectroscopic Instrument

Correcting for fibre assignment incompleteness in the DESI Bright Galaxy Survey

Monthly Notices of the Royal Astronomical Society

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor

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

Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys

DESI Legacy Imaging Surveys Data Release 9: Cosmological constraints from galaxy clustering and weak lensing using the minimal bias model

中国科学. 物理学 力学 天文学

Baryon acoustic oscillations in the projected cross-correlation function between the eBOSS DR16 quasars and photometric galaxies from the DESI Legacy Imaging Surveys

Using angular two-point correlations to self-calibrate the photometric redshift distributions of DECaLS DR9


An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client

Atomic Crosschain Transactions for Ethereum Private Sidechains

IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks

The merits of using Ethereum MainNet as a Coordination Blockchain for Ethereum Private Sidechains

Anonymous State Pinning for Private Blockchains


Python Productivity for ZYNQ

Efficient Edge-AI Application Deployment for FPGAs

The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

Artificial Intelligence in Electric Machine Drives: Advances and Trends

LPYOLO: Low Precision YOLO for Face Detection on FPGA

World Congress on Electrical Engineering and Computer Systems and Science

On the Computational Complexities of Complex-valued Neural Networks


Rphenograph: R implementation of the PhenoGraph algorithm

Dimensionality reduction for visualizing single-cell data using UMAP

Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline

Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity

Spatial predictors of immunotherapy response in triple-negative breast cancer

ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

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

Computational and structural biotechnology journal

Assessment of Automated Flow Cytometry Data Analysis Tools within Cell and Gene Therapy Manufacturing

Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer

Immune Modulation with RANKL Blockade through Denosumab Treatment in Patients with Cancer

Intestinal stroma guides monocyte differentiation to macrophages through GM-CSF


Language-Driven Semantic Segmentation

Language-driven Semantic Segmentation

Decomposing NeRF for Editing via Feature Field Distillation

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding


[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation

SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation

Medical Image Segmentation with Domain Adaptation: A Survey


Quantization of Convolutional Neural networks.

Post training 4-bit quantization of convolutional networks for rapid-deployment

Post-Training 4-bit Quantization on Embedding Tables

SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration


How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset

FlauBERT: Unsupervised Language Model Pre-training for French

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

Linear Transformations for Cross-lingual Sentiment Analysis


[ICCV 2023] Official PyTorch implementation for the paper "FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model"

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Manifold Preserving Guided Diffusion

Text-guided Explorable Image Super-resolution

TFG: Unified Training-Free Guidance for Diffusion Models


An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Self-supervised Representation Learning with Relative Predictive Coding

Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations.

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch


Standalone C library for assembling Illumina short reads in small regions

Kevlar: A Mapping-Free Framework for Accurate Discovery of De Novo Variants

Clonal Evolution Dynamics in Primary and Metastatic Lesions of Pancreatic Neuroendocrine Neoplasms

Virtual Genome Walking: Generating gene models for the salamander Ambystoma mexicanum


Deep network that performs spectral clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Deep Kernel Learning for Clustering

Deep Clustering With Consensus Representations

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

TC-DWA: Text Clustering with Dual Word-Level Augmentation

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 6


Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems


Vision-Language Pre-training for Image Captioning and Question Answering

Unified Vision-Language Pre-Training for Image Captioning and VQA

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

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

Meeting of the Association for Computational Linguistics

Learning to Learn Words from Visual Scenes


Denoising Diffusion Implicit Models

Denoising Diffusion Implicit Models

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Noise Estimation for Generative Diffusion Models

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Q-Diffusion: Quantizing Diffusion Models

Non Gaussian Denoising Diffusion Models

Denoising Diffusion Gamma Models


Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

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

GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language

The International FLAIRS Conference Proceedings


ESP32 Smart Solar Charger - the Open Solar Project


offical seesawfacenet pytorch implement,  https://arxiv.org/abs/1908.09124

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

SeesawFaceNets: sparse and robust face verification model for mobile platform


Tools for improving the sensitivity and specificity of genome alignments

Computational methods to detect conserved non-genic elements in phylogenetically isolated genomes: application to zebrafish

Increased alignment sensitivity improves the usage of genome alignments for comparative gene annotation

RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements


A standalone end-to-end data analysis pipeline for Duplex Sequencing

The multi-tissue landscape of somatic mtDNA mutations indicates tissue-specific accumulation and removal in aging

A replication-linked mutational gradient drives somatic mutation accumulation and influences germline polymorphisms and genome composition in mitochondrial DNA

Resistance of mitochondrial DNA to cadmium and Aflatoxin B1 damage-induced germline mutation accumulation in C. elegans

Uterine lavage identifies cancer mutations and increased TP53 somatic mutation burden in individuals with ovarian cancer.


An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

High-Resolution Representations for Labeling Pixels and Regions

OpenScene: 3D Scene Understanding with Open Vocabularies

MSeg: A Composite Dataset for Multi-domain Semantic Segmentation


Distilling Knowledge via Knowledge Review, CVPR 2021

Knowledge Distillation via the Target-aware Transformer

Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization


Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (https://arxiv.org/abs/2010.05700).

Multiple-Attribute Text Style Transfer

Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer

A Probabilistic Formulation of Unsupervised Text Style Transfer

Weakly-Supervised Open-Retrieval Conversational Question Answering


The Implementation of FastSpeech based on pytorch.

Attention Is All You Need

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

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

FastSpeech: Fast, Robust and Controllable Text to Speech

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech


Learning Deep Features for Discriminative Localization

Parameter-Free Spatial Attention Network for Person Re-Identification

Simple and Effective: Spatial Rescaling for Person Reidentification

IEEE transactions on neural networks and learning systems


Bridging LLM and Recommender System.

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems

Aligning Language Models for Versatile Text-based Item Retrieval


Creative Commons Attribution 4.0 International

Official repository of the German Radiological Society's working group on radiological reporting templates.

Strukturierte Befundung in der Schnittbilddiagnostik des Herzens: Befundvorlagen für die MRT bei Kardiomyopathien (Myokarditis, dilatative Kardiomyopathie, hypertrophe Kardiomyopathie, arrhythmogene rechtsventrikuläre Kardiomyopathie und Siderose)

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren

Structured Reporting of Solid and Cystic Pancreatic Lesions in CT and MRI: Consensus-Based Structured Report Templates of the German Society of Radiology (DRG).

Structured Reporting in Multiple Sclerosis – Consensus-Based Reporting Templates for Magnetic Resonance Imaging of the Brain and Spinal Cord

Structured Reporting of Acute Ischemic Stroke - Consensus-Based Reporting Templates for Non-Contrast Cranial Computed Tomography, CT Angiography, and CT Perfusion.


RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

RnaBench: A Comprehensive Library forIn SilicoRNA Modelling


A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

International Journal of Applied Earth Observation and Geoinformation

Canopy near-infrared reflectance and terrestrial photosynthesis

Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation

ISPRS Journal of Photogrammetry and Remote Sensing

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

Analysis of Impervious Surface and its Impact on Urban Heat Environment using the Normalized Difference Impervious Surface Index (NDISI)

Photogrammetric Engineering & Remote Sensing

Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area

A unified vegetation index for quantifying the terrestrial biosphere

Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: Overcoming problems of high biomass and persistent cloud

The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization


[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context
  Language Modeling

Towards Incremental Learning in Large Language Models: A Critical Review


Microsatellite Analysis for Normal-Tumor InStability

Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer

Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival?

Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors


Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes

TabPFGen -- Tabular Data Generation with TabPFN

Unlocking the Transferability of Tokens in Deep Models for Tabular Data

Large Language Models Can Automatically Engineer Features for Few-Shot
  Tabular Learning

Large Scale Transfer Learning for Tabular Data via Language Modeling

Tabular Data: Is Attention All You Need?


Support code for NGS copy number algorithms. Takes a file of locations and a [cr|b]am file and generates a count of coverage of each allele [ACGT] at that location (given any filter settings)

The longitudinal dynamics and natural history of clonal haematopoiesis

Tumor to normal single-cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

The Origins and Vulnerabilities of Two Transmissible Cancers in Tasmanian Devils

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

Tumor to normal single cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning

Genomic consequences of domestication of the Siamese fighting fish

Clonal haematopoiesis is not prevalent in survivors of childhood cancer

Precise identification of cancer cells from allelic imbalances in single cell transcriptomes

Osteosarcoma PDX-Derived Cell Line Models for Preclinical Drug Evaluation Demonstrate Metastasis Inhibition by Dinaciclib through a Genome-Targeted Approach

Clinical cancer research : an official journal of the American Association for Cancer Research


Readers for the data from the International Soil Moisture Network


python Toolbox for the Evaluation of Soil Moisture Observations


Guidelines and forecasts for a collaborative U.S. influenza forecasting project.

A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

A Collaborative Multi-Model Ensemble for Real-Time Influenza Season Forecasting in the U.S

An extended note on the multibin logarithmic score used in the FluSight competitions

Correction: Evaluating epidemic forecasts in an interval format


Default set of Data Lab notebooks, by DL team and contributed by users

The DECam Local Volume Exploration Survey: Overview and First Data Release

The Astrophysical Journal Supplement Series

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

The Data Lab: A Science Platform for the analysis of ground-based astronomical survey data

Reconstructing and Classifying SDSS DR16 Galaxy Spectra with Machine-Learning and Dimensionality Reduction Algorithms


Use MCMC to analyze districting plans and gerrymanders

Locating the representational baseline: Republicans in Massachusetts

Discrete geometry for electoral geography

Computational Redistricting and the Voting Rights Act

Election Law Journal: Rules, Politics, and Policy

Implementing partisan symmetry: Problems and paradoxes

Geometry of Graph Partitions via Optimal Transport

Mathematics of Nested Districts: The Case of Alaska

Spanning tree methods for sampling graph partitions

The (homological) persistence of gerrymandering

You Can Have Your Cake and Redistrict It Too

Three Applications of Entropy to Gerrymandering


Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models


EsViT: Efficient self-supervised Vision Transformers

CvT: Introducing Convolutions to Vision Transformers

Focal Self-attention for Local-Global Interactions in Vision Transformers

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Efficient Self-supervised Vision Transformers for Representation Learning

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Model Spider: Learning to Rank Pre-Trained Models Efficiently

A Survey on Self-Supervised Representation Learning


Reflective DLL injection is a library injection technique in which the concept of reflective programming is employed to perform the loading of a library from memory into a host process.

Blockchain-Enabled Intrusion Detection and Prevention System of APTs Within Zero Trust Architecture


DenseNet Implementation in Keras with ImageNet Pretrained Models

Densely Connected Convolutional Networks

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib


The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Towards Cross-Table Masked Pretraining for Web Data Mining

TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

NCART: Neural Classification and Regression Tree for Tabular Data

Uncertainty Quantification for Local Model Explanations Without Model Access

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data


ISO peak load forecasting application


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

Learning to Embed Categorical Features without Embedding Tables for Recommendation

A Lightweight Blockchain Based Framework for Underwater IoT

Hash Adaptive Bloom Filter

MATE: Multi-Attribute Table Extraction

copMEM: Finding maximal exact matches via sampling both genomes

Embedding in Recommender Systems: A Survey

Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings

copMEM2: robust and scalable maximum exact match finding


Matlab implementation of the ECO tracker.

ECO: Efficient Convolution Operators for Tracking

ATOM: Accurate Tracking by Overlap Maximization

Learning Discriminative Model Prediction for Tracking

Synthetic data generation for end-to-end thermal infrared tracking

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

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Benchmarking Deep Trackers on Aerial Videos


CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

ViperGPT: Visual Inference via Python Execution for Reasoning

When and why vision-language models behave like bags-of-words, and what to do about it?

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

X^2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

Measuring Progress in Fine-grained Vision-and-Language Understanding

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning

MPCHAT: Towards Multimodal Persona-Grounded Conversation

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"

Deep Residual Learning for Image Recognition

Going Deeper with Convolutions

Adversarial Robustness as a Prior for Learned Representations


Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

Compressing LLMs: The Truth is Rarely Pure and Never Simple

SLEB: Streamlining LLMs through Redundancy Verification and Elimination
  of Transformer Blocks

Sparse Fine-tuning for Inference Acceleration of Large Language Models


Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

LawBench: Benchmarking Legal Knowledge of Large Language Models

A Survey on Large Language Models for Critical Societal Domains:
  Finance, Healthcare, and Law

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model


ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

DADA: Depth-aware Domain Adaptation in Semantic Segmentation

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Robust Deep Learning for Autonomous Driving


Code and data accompanying the FedGen paper

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Data-Free Knowledge Distillation for Heterogeneous Federated Learning

Federated Knowledge Distillation

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation


Mutilate: high-performance memcached load generator

Agile Development of Linux Schedulers with Ekiben


TGN: Temporal Graph Networks

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA

TIGER: Temporal Interaction Graph Embedding with Restarts

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction

Spectral Transform Forms Scalable Transformer

Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting


Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

Pretrained Transformers for Text Ranking: BERT and Beyond

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages

Zenodo (CERN European Organization for Nuclear Research)

A Comparison of Supervised Learning to Match Methods for Product Search


大模型多维度中文对齐评测基准 (ACL 2024)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

AlignBench: Benchmarking Chinese Alignment of Large Language Models

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human
  Feedback


On the detection of synthetic images generated by diffusion models

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection


samblaster: a tool to mark duplicates and extract discordant and split reads from sam files.

SAMBLASTER: fast duplicate marking and structural variant read extraction

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

House mouse Mus musculus dispersal in East Eurasia inferred from 98 newly determined complete mitochondrial genome sequences

Transcriptomic silencing as a potential mechanism of treatment resistance

Accelerating next generation sequencing data analysis with system level optimizations

A new TEX11 mutation causes azoospermia and testicular meiotic arrest

Pooled Sequencing Analysis of Geese (Anser cygnoides) Reveals Genomic Variations Associated With Feather Color

Whole-Genome Resequencing to Evaluate Life History Variation in Anadromous Migration of Oncorhynchus mykiss

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease


Benchmarks for the Optimal Power Flow Problem

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Learning for DC-OPF: Classifying active sets using neural nets

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets

Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications

Linear/quadratic programming-based optimal power flow using linear power flow and absolute loss approximations

International Journal of Electrical Power & Energy Systems

Statistical Learning For DC Optimal Power Flow

Robust AC Optimal Power Flow with Robust Convex Restriction

Inexact Convex Relaxations for AC Optimal Power Flow: Towards AC Feasibility

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems


mixup: Beyond Empirical Risk Minimization

Learning from Noisy Labels with Deep Neural Networks: A Survey

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

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

MixUp as Directional Adversarial Training

GenLabel: Mixup Relabeling using Generative Models

Semantic Perturbations with Normalizing Flows for Improved Generalization

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

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

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


Species occurrence data toolkit for R


The PheWAS R package

Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program

Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Genomics and phenomics of body mass index reveals a complex disease network

Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects

GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer

T38. CHARACTERIZING THE PHENOTYPIC AND GENETIC STRUCTURE OF PSYCHOPATHOLOGY IN UK BIOBANK

medRxiv : the preprint server for health sciences

Medication history-wide association studies for pharmacovigilance of pregnant patients

MR-PheWAS for the causal effects of serum magnesium on multiple disease outcomes in Caucasian descent

Genome‑wide association study and polygenic risk scores predict psoriasis and its shared phenotypes in Taiwan


R interface to the National Hydrography Dataset :droplet:


Path diagrams and visual analysis of various SEM packages' output

The Relationship between English Language Learner Characteristics and Online Self-regulation: A Structural Equation Modeling Approach

A longitudinal model for psychological distress in the COVID-19 crisis among brazilian graduate students

Genetic Relationships Among Physiological Processes, Phenology, and Grain Yield Offer an Insight Into the Development of New Cultivars in Soybean (Glycine max L. Merr)

strum: an R package for structural modeling of latent variables for general pedigrees

The Italian version of the mobile phone problematic use scale for adults (MPPUS): A validation study

Health-Related Behaviors in Adolescents Mediate the Association between Subjective Social Status and Body Mass Index

International journal of environmental research and public health

Medición y comparación de la actitud docente hacia la salud mental en la escuela (Measurement and comparison of teacher attitude towards mental health in school)

The Validity and Reliability of the Malay Version of the Cyberbullying Scale among Secondary School Adolescents in Malaysia

The Grid of Burnout, Engagement and Job Satisfaction: a Case Study in Greece

International Journal of Human Resource Studies


Geoanalytics for climate and disaster risk screening


PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

PyHessian: Neural Networks Through the Lens of the Hessian

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

Handcrafted Backdoors in Deep Neural Networks

Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor
  Learning

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural
  Networks

Fisher Information guided Purification against Backdoor Attacks


Sequence-to-sequence model with LSTM encoder/decoders and attention

Sequence-Level Knowledge Distillation

Synthetic and Natural Noise Both Break Neural Machine Translation

Sequence-to-Sequence Learning as Beam-Search Optimization

What do Neural Machine Translation Models Learn about Morphology?

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

On Adversarial Examples for Character-Level Neural Machine Translation

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

SYSTRAN's Pure Neural Machine Translation Systems

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

On the Linguistic Representational Power of Neural Machine Translation Models


LIO_SAM for 6-axis IMU and  GNSS.

PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory
  Generation and Uncertainty Estimation

i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search


An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 75 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

From single neurons to behavior in the jellyfish Aurelia aurita

IB2d Reloaded: A more powerful Python and MATLAB implementation of the immersed boundary method

Mathematical methods in the applied sciences

Naut Your Everyday Jellyfish Model: Exploring How Tentacles and Oral Arms Impact Locomotion

Flow field analyses of a porous membrane-separated, double-layered microfluidic chip for cell co-culture

A Swing of Beauty: Pendulums, Fluids, Forces, and Computers

Diving into a simple anguilliform swimmer's sensitivity

Fluid-Structure Interaction for the Classroom: Interpolation, Hearts, and Swimming!

Fluid-Structure Interaction for the Classroom: Speed, Accuracy, Convergence, and Jellyfish!

Don't be jelly: Exploring effective jellyfish locomotion


ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

College Binge Drinking Associated with Decreased Frontal Activation to Negative Emotional Distractors during Inhibitory Control

Human amygdala functional network development: A cross-sectional study from 3 months to 5 years of age

The Decline in Intrinsic Connectivity Between the Salience Network and Locus Coeruleus in Older Adults: Implications for Distractibility

Durable memories and efficient neural coding through mnemonic training using the method of loci

Pronounced Structural and Functional Damage in Early Adult Pediatric-Onset Multiple Sclerosis with No or Minimal Clinical Disability

Adolescent Hippocampal and Prefrontal Brain Activation During Performance of the Virtual Morris Water Task

Altered Large-Scale Brain Functional Connectivity in Ocular Hypertension

Model-Based and Model-Free Analyses of the Neural Correlates of Tongue Movements

Evaluation of noise regression techniques in resting-state fMRI studies using data of 434 older adults

Data for functional MRI connectivity in transgender people with gender incongruence and cisgender individuals


SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

A Comprehensive Evaluation of Quantization Strategies for Large Language Models


Matrix cascade equation core code

Calculation of conventional and prompt lepton fluxes at very high energy

The hadronic interaction model Sibyll-2.3c and inclusive lepton fluxes

Neutrinos from cosmic ray interactions in the Sun

Journal of Cosmology and Astroparticle Physics

Bounds on secret neutrino interactions from high-energy astrophysical neutrinos

Tau neutrinos in the next decade: from GeV to EeV

Unified atmospheric neutrino passing fractions for large-scale neutrino telescopes

Measurement of atmospheric neutrino mixing with improved IceCube DeepCore calibration and data processing

Using high-energy neutrinos as cosmic magnetometers

PLEνM: A global and distributed monitoring system of high-energy astrophysical neutrinos

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

Data-driven hadronic interaction model for atmospheric lepton flux calculations


Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.  Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Towards a Robust Deep Neural Network in Texts: A Survey

Advbox: a toolbox to generate adversarial examples that fool neural networks

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).

Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service

Defend Against Adversarial Samples by Using Perceptual Hash

Computers, materials & continua/Computers, materials & continua (Print)

A Tour of Convolutional Networks Guided by Linear Interpreters

Attacking and Defending Machine Learning Applications of Public Cloud

Order-preserving Consistency Regularization for Domain Adaptation and Generalization


Estimating potential environmental impacts of goods and services in the US economy

LCIA Formatter

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input–Output Models

Incorporating New Technologies in EEIO Models


:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

LinkBERT: Pretraining Language Models with Document Links

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

Workshop on Biomedical Natural Language Processing

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning

COVID-19 research risks ignoring important host genes due to pre-established research patterns

VIST-a Variant-Information Search Tool for precision oncology

The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain

Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation

A Personalized Machine-Learning-enabled Method for Efficient Research in Ethnopharmacology. The case of Southern Balkans and Coastal zone of Asia Minor


AMReX-based structured wind solver

ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows

Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs


Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

A point and density map hybrid network for crowd counting and localization based on unmanned aerial vehicles


Autoencoder for Point Clouds

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

PointGMM: a Neural GMM Network for Point Clouds

Cascaded Refinement Network for Point Cloud Completion with Self-supervision

Modeling Fabric-Type Actuator Using Point Clouds by Deep Learning


Yet another k-mer analyzer

A draft human pangenome reference

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

THP9 enhances seed protein content and nitrogen-use efficiency in maize

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Whole genome assemblies of Zophobas morio and Tenebrio molitor

Pangenome genotyped structural variation improves molecular phenotype mapping in cattle

Phased nanopore assembly with Shasta and modular graph phasing with GFAse

A chromosome-level reference genome of a Convolvulaceae species Ipomoea cairica

The haplotype-resolved telomere-to-telomere carnation (Dianthus caryophyllus) genome reveals the correlation between genome architecture and gene expression

Synchronized long-read genome, methylome, epigenome, and transcriptome for resolving a Mendelian condition


Unsupervised Pre-training for Person Re-identification (LUPerson)

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

Large-Scale Pre-training for Person Re-identification with Noisy Labels

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification


Structural Variant Identification Method using Long Reads

SVIM: structural variant identification using mapped long reads

Long-read sequencing in human genetics

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

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


Dynamic Network Embedding by Modeling Triadic Closure Process

Representation Learning for Dynamic Graphs: A Survey

Dynamic Network Embedding Survey

Node Embedding over Temporal Graphs

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

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Subset Node Representation Learning over Large Dynamic Graphs

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation

Robust Dynamic Network Embedding via Ensembles

Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling


Deep Learning tools for brain medical images

Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer’s Disease Using Structural MRI Images

IEEE journal of biomedical and health informatics

A collaborative resource platform for non-human primate neuroimaging

Learning to synthesise the ageing brain without longitudinal data

Multi-scale Neural ODEs for 3D Medical Image Registration

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

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification

A “Seed-and-Soil” Radiomics Model Predicts Brain Metastasis Development in Lung Cancer: Implications for Risk-Stratified Prophylactic Cranial Irradiation

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease


The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).

Skeleton-Based Action Recognition With Shift Graph Convolutional Network

Normalizing Flows for Human Pose Anomaly Detection

Anonymization for Skeleton Action Recognition


Code of Dense Relational Captioning

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning

Dense Relational Image Captioning via Multi-task Triple-Stream Networks


Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

Improved Training of Wasserstein GANs

Improved Techniques for Training GANs

Wasserstein GAN

Generative Adversarial Text to Image Synthesis


Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Blind Image Super-Resolution with Spatial Context Hallucination

Kernelized Back-Projection Networks for Blind Super Resolution


Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

TAGPRIME: A Unified Framework for Relational Structure Extraction

Segmenting Natural Language Sentences via Lexical Unit Analysis

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

North American Chapter of the Association for Computational Linguistics


Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics


An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Machine learning for multi-omics data integration in cancer

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Empirical Methods in Natural Language Processing

Generalized Multiview Shared Subspace Learning Using View Bootstrapping