A repository in preparation for open-sourcing lottery ticket hypothesis code.

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Stabilizing the Lottery Ticket Hypothesis

The Early Phase of Neural Network Training

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Learning Neural Network Subspaces

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

The Elastic Lottery Ticket Hypothesis

Revisiting "Qualitatively Characterizing Neural Network Optimization Problems"


A versatile sequenced read processor for nanopore direct RNA sequencing

The Architecture of SARS-CoV-2 Transcriptome

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Exploring differential exon usage via short- and long-read RNA sequencing strategies

Antisense lncRNA CHROMR is linked to glioma patient survival

RIPpore: A Novel Host-Derived Method for the Identification of Ricin Intoxication through Oxford Nanopore Direct RNA Sequencing


LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model

Query-Relevant Images Jailbreak Large Multi-Modal Models

A Comprehensive Overhaul of Multimodal Assistant with Small Language
  Models


ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Composition-based Multi-Relational Graph Convolutional Networks

Temporal Knowledge Graph Forecasting with Neural ODE

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

Sem@K: Is my knowledge graph embedding model semantic-aware?

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning

Mitigating Relational Bias on Knowledge Graphs

Relation-aware Ensemble Learning for Knowledge Graph Embedding


A GUI for measuring properties of Fast Radio Bursts

A broad survey of spectro-temporal properties from FRB 20121102A

Validating the Sub-Burst Slope Law: A Comprehensive Multi-Source Spectro-Temporal Analysis of Repeating Fast Radio Bursts

Varying activity and the bursts properties of FRB 20240114A probed with
  GMRT down to 300 MHz


百度开源的依存句法分析系统

Deep Biaffine Attention for Neural Dependency Parsing

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

Meeting of the Association for Computational Linguistics

A Practical Chinese Dependency Parser Based on A Large-scale Dataset

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

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

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding

IEEE Transactions on Software Engineering

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

Practical, Automated Scenario-based Mobile App Testing

HIGNN-TTS: Hierarchical Prosody Modeling With Graph Neural Networks for Expressive Long-Form TTS


An awesome PyTorch NeRF library

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

Plenoxels: Radiance Fields without Neural Networks

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

NeRF++: Analyzing and Improving Neural Radiance Fields

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption

L_0-Sampler: An L_0 Model Guided Volume Sampling for NeRF


[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Rethinking Range View Representation for LiDAR Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation

White Matter Hyperintensities Segmentation Using Probabilistic TransUNet


Age and Gender Classification using Convolutional Neural Networks

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning


[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

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

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction


WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution

International Conference on Computational Linguistics

Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions

Workshop on Cognitive Aspects of the Lexicon

Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks


Parser for Attempto Controlled English (ACE)

A Multilingual Semantic Wiki Based on Attempto Controlled English and Grammatical Framework

Querying Knowledge via Multi-Hop English Questions

Theory and Practice of Logic Programming

Model-based generation of natural language specifications


Dictionary based sentiment analysis that considers valence shifters

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

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

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

Interjections and emojis in Nigerian online communication

Identifying the sentiment styles of YouTube's vloggers

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

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

Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon

Using Localized Twitter Activity for Red Tide Impact Assessment

How Mass Public Shooters Use Social Media: Exploring Themes and Future Directions


Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

Neural Relation Extraction with Selective Attention over Instances

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Empirical Methods in Natural Language Processing

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Combining Distant and Direct Supervision for Neural Relation Extraction

Global Relation Embedding for Relation Extraction

Revisiting Distant Supervision for Relation Extraction

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


Attributing predictions made by the Inception network using the Integrated Gradients method

Axiomatic Attribution for Deep Networks

Explainable AI Methods - A Brief Overview

Did the Model Understand the Question?

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

Gradients of Counterfactuals

Attribution in Scale and Space

Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

International Conference on Pattern Recognition

Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and Integration

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution

Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection


The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing

Advancing Test-Time Adaptation in Wild Acoustic Test Settings


Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.

VIP: Vortex Image Processing package for high-contrast direct imaging

TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals

Collaborative Nested Sampling: Big Data vs. complex physical models

Reconstructing the Last Major Merger of the Milky Way with the H3 Survey

Forward Modeling and Retrievals with PLATON, a Fast Open-source Tool

Publications of the Astronomical Society of the Pacific

Nested Sampling Methods

Nested sampling for physical scientists

Evidence for the volatile-rich composition of a 1.5-Earth-radius planet

Sub-Chandrasekhar progenitors favoured for Type Ia supernovae: evidence from late-time spectroscopy

Monthly notices of the Royal Astronomical Society

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


A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.

Privacy-preserving data sharing via probabilistic modeling

Noise-Aware Statistical Inference with Differentially Private Synthetic Data


Python libraries for DELPH-IN

Robust Incremental Neural Semantic Graph Parsing

Robust Training under Linguistic Adversity

Conference of the European Chapter of the Association for Computational Linguistics

Neural Text Generation from Rich Semantic Representations

Functional Distributional Semantics

Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty

Findings of the Association for Computational Linguistics: ACL 2022

A Proposition-Based Abstractive Summariser

Semantic Composition via Probabilistic Model Theory

An HPSG-based Shared-Grammar for the Chinese Languages: ZHONG [|]

Proceedings of the Grammar Engineering Across Frameworks (GEAF) 2015 Workshop

Graph- and surface-level sentence chunking

Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis

Conference on Computational Natural Language Learning


NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

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

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition


Open-source vector similarity search for Postgres

PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Vector Search with OpenAI Embeddings: Lucene Is All You Need

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation

Agent-OM: Leveraging LLM Agents for Ontology Matching

Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors
  for a Robotics Course

Teola: Towards End-to-End Optimization of LLM-based Applications

Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks


A pretty sweet RML engine, for RDF.

Domain-specific Knowledge Graphs: A survey

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Enhancing virtual ontology based access over tabular data with Morph-CSV

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

Using Mapping Languages for Building Legal Knowledge Graphs from XML Files

Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies

Lecture notes in business information processing

The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph

PROCEEDINGS OF THE 11TH KNOWLEDGE CAPTURE CONFERENCE (K-CAP '21)

VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis

Machine Learning and Knowledge Extraction


aTRAM 2.0: An Improved, Flexible Locus Assembler for NGS Data

aTRAM - automated target restricted assembly method: a fast method for assembling loci across divergent taxa from next-generation sequencing data


Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

Language Models are Few-Shot Learners

Evaluating Large Language Models Trained on Code

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Measuring Coding Challenge Competence With APPS

Large Language Models Meet NL2Code: A Survey

An Empirical Study of the Non-determinism of ChatGPT in Code Generation

CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

SkCoder: A Sketch-based Approach for Automatic Code Generation

When Language Model Meets Private Library

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends


Accurately separates a URL’s subdomain, domain, and public suffix, using the Public Suffix List (PSL).

Third Party Tracking in the Mobile Ecosystem

The Many Shapes of Archive-It

Exploring HTTPS Security Inconsistencies: A Cross-Regional Perspective

Towards Forward Secure Internet Traffic

Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph

Domain-Level Detection and Disruption of Disinformation

Tracking a Year of Polarized Twitter Discourse on Abortion


Reduce the environmental footprint of your software applications with this cutting-edge sonarQube plugin

Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research


uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.

Browser Fingerprinting: A survey

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking

Missed by Filter Lists: Detecting Unknown Third-Party Trackers with Invisible Pixels

Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking

Improving Web Content Blocking With Event-Loop-Turn Granularity
  JavaScript Signatures

A comparison of web privacy protection techniques

Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding

Proceedings on Privacy Enhancing Technologies

PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites

Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites

SpeedReader: Reader Mode Made Fast and Private


:warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.

Blockchain smart contracts: Applications, challenges, and future trends

Peer-to-peer networking and applications

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

A Blockchain-Powered Decentralized and Secure Computing Paradigm

IEEE Transactions on Emerging Topics in Computing

CioSy: A Collaborative Blockchain-Based Insurance System

Verifiable Smart Contract Portability

Enforceable Data Sharing Agreements Using Smart Contracts

Towards Practical Applications in Modeling Blockchain System

A Modified Hybrid Blockchain Framework for Secured Data Transaction

The Minimum Hybrid Contract (MHC): Combining legal and blockchain smart contracts


Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation


A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Semi-Supervised Anomaly Detection

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success


I^2SB: Image-to-Image Schrödinger Bridge

Direct Diffusion Bridge using Data Consistency for Inverse Problems

DriftRec: Adapting diffusion models to blind JPEG restoration

Diffusion Bridge Implicit Models


Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking


CVPR 2022

Diffusion Models Beat GANs on Image Synthesis

Perception Prioritized Training of Diffusion Models

Towards the Detection of Diffusion Model Deepfakes

Multi-Architecture Multi-Expert Diffusion Models

Addressing Negative Transfer in Diffusion Models

Denoising Task Routing for Diffusion Models

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play
  Priors

Enabling Local Editing in Diffusion Models by Joint and Individual
  Component Analysis


Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Diffusion Models for Adversarial Purification

Fast Sampling of Diffusion Models with Exponential Integrator

gDDIM: Generalized denoising diffusion implicit models

Controllable and Compositional Generation with Latent-Space Energy-Based Models

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control


Particle swarm optimization (PSO) that supports constraints

Benchmarking Five Global Optimization Approaches for Nano-optical Shape Optimization and Parameter Reconstruction

A PSF-based approach to Kepler/K2 data – II. Exoplanet candidates in Praesepe (M 44)

Monthly Notices of the Royal Astronomical Society

A PSF-based approach to Kepler/K2 data - III. Search for exoplanets and variable stars within the open cluster M 67 (NGC 2682)

An artificial neural network to discover hypervelocity stars: candidates in Gaia DR1/TGAS

Planning a sports training program using Adaptive Particle Swarm Optimization with emphasis on physiological constraints

In Silico Modeling of Biofilm Formation by Nontypeable Haemophilus influenzae In Vivo

Searching for long faint astronomical high energy transients: a data driven approach

Advancing Standards-Free Methods for the Identification of Small Molecules in Complex Samples

Comparing Single-Objective Optimization Protocols for Calibrating the Birds Nest Aquifer Model—A Problem Having Multiple Local Optima

International journal of environmental research and public health

DARK SAGE: Next-generation semi-analytic galaxy evolution with multidimensional structure and minimal free parameters


Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Neural Voice Cloning with a Few Samples

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning


Heterogeneous information network representation learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Recent Advances in Network-based Methods for Disease Gene Prediction

Network representation learning systematic review: ancestors and current development state

HetIG-PreDiG: A Heterogeneous Integrated Graph Model for Predicting Human Disease Genes based on gene expression

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks


甲言，专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包，支持文言词库构建、分词、词性标注、断句和标点。Jiayan, the 1st NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation and punctuation.

Summarising Historical Text in Modern Languages

The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS

Period Classification in Chinese Historical Texts

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature


Graph-linked unified embedding for single-cell multi-omics data integration

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Deep Learning in Single-Cell Analysis

Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework

scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration


A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

GPT Understands, Too

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification

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

Towards Unified Prompt Tuning for Few-shot Text Classification

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker


MQT Predictor - A MQT Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Predicting Good Quantum Circuit Compilation Options

Compiler Optimization for Quantum Computing Using Reinforcement Learning

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Towards Application-Aware Quantum Circuit Compilation

Paving the Way to Hybrid Quantum-Classical Scientific Workflows


Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

Effective Extensible Programming: Unleashing Julia on GPUs

IEEE Transactions on Parallel and Distributed Systems

Rapid software prototyping for heterogeneous and distributed platforms

Resolving hydromechanical coupling in two and three dimensions: spontaneous channelling of porous fluids owing to decompaction weakening

Disruptive Changes in Field Equation Modeling: A Simple Interface for Wafer Scale Engines


ReFramed: metabolic modeling package

CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

Dynamic metagenome‐scale metabolic modeling of a yogurt bacterial community

Leveraging phylogenetic signal to unravel microbiome function and assembly rules

Computational and structural biotechnology journal


Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Improving language models by retrieving from trillions of tokens

DeepNet: Scaling Transformers to 1,000 Layers

Copy Is All You Need

Retrieval is Accurate Generation

Current Limitations of Language Models: What You Need is Retrieval

Document-Level Abstractive Summarization


ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

ALiPy: Active Learning in Python

Multi-View Active Learning for Short Text Classification in User-Generated Data

Re-Benchmarking Pool-Based Active Learning for Binary Classification

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios

Active Learning Framework to Automate NetworkTraffic Classification


Virtual Knowledge Graph Creation from RDB with R2RML

Enhancing virtual ontology based access over tabular data with Morph-CSV

The Query Translation Landscape: a Survey

Querying clinical data in HL7 RIM based relational model with morph-RDB

Training Neural Language Models with SPARQL queries for Semi-Automatic Semantic Mapping

Enhancing OBDA Query Translation over Tabular Data with Morph-CSV.


Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Augraphy: A Data Augmentation Library for Document Images

ShabbyPages: A Reproducible Document Denoising and Binarization Dataset

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision

Novel hybrid integrated Pix2Pix and WGAN model with Gradient Penalty for binary images denoising


Joint HPS and ETH Repository to work towards open sourcing Scarab and Ramulator

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

The Championship Simulator: Architectural Simulation for Education and Competition

Virtuoso: An Open-Source, Comprehensive and Modular Simulation Framework
  for Virtual Memory Research


Accurate Species TRee ALgorithm

ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees

ASTRAL: genome-scale coalescent-based species tree estimation

ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes

Fast Coalescent-Based Computation of Local Branch Support from Quartet Frequencies

The Interrelationships of Land Plants and the Nature of the Ancestral Embryophyte

Evaluating Summary Methods for Multilocus Species Tree Estimation in the Presence of Incomplete Lineage Sorting.

TreeShrink: fast and accurate detection of outlier long branches in collections of phylogenetic trees

To include or not to include: The impact of gene filtering on species tree estimation methods

A comparative study of SVDquartets and other coalescent-based species tree estimation methods

ASTRAL-Pro: Quartet-Based Species-Tree Inference despite Paralogy


Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Problem-Driven Scenario Clustering in Stochastic Optimization

Detecting brain network communities: considering the role of information flow and its different temporal scales

A Transfer Learning Framework for Predictive Energy-Related Scenarios in Smart Buildings

IEEE transactions on industry applications

Know Your Clients' behaviours: a cluster analysis of financial transactions

Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

Behavioral and Metabolic Risk Factors for Noncommunicable Diseases among Population in the Republic of Srpska (Bosnia and Herzegovina)

A new PCA-based utility measure for synthetic data evaluation

Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data

Cognitive Relevance Transform for Population Re-Targeting

An Empirical Taxonomy of Common Curb Zoning Configurations in Seattle


data-parallel out-of-core library

Reinforcement Learning for Load-balanced Parallel Particle Tracing

IEEE transactions on visualization and computer graphics

Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis


Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

PyThaiNLP: Thai Natural Language Processing in Python

p3k14c, a synthetic global database of archaeological radiocarbon dates

Bidirectional Recurrent Models for Offensive Tweet Classification

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

German Parliamentary Corpus (GerParCor)

Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness

Frontiers in research metrics and analytics

iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries

Proceedings of the 29th International Conference on Intelligent User Interfaces

Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records


:sparkles: new shiny website built with svelte :heart: for dust and noise measuring project :point_right:  https://sensor.community


Software package for assigning SARS-CoV-2 genome sequences to global lineages.

A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

Emergence of SARS-CoV-2 Omicron lineages BA.4 and BA.5 in South Africa

Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission

T cell responses to SARS-CoV-2 spike cross-recognize Omicron

Tracking the international spread of SARS-CoV-2 lineages B.1.1.7 and B.1.351/501Y-V2 with grinch

Risk of hospitalisation associated with infection with SARS-CoV-2 lineage B.1.1.7 in Denmark: an observational cohort study

SARS-CoV-2 B.1.617 Mutations L452R and E484Q Are Not Synergistic for Antibody Evasion

Detection and characterization of the SARS-CoV-2 lineage B.1.526 in New York

bioRxiv : the preprint server for biology

Detection of B.1.351 SARS-CoV-2 Variant Strain — Zambia, December 2020

MMWR. Morbidity and mortality weekly report


Phonon code

Design of a multifunctional polar metal via first-principles high-throughput structure screening

On the possibility that PbZrO3 not be antiferroelectric

Assessing the feasibility of near-ambient conditions superconductivity in the Lu-N-H system

Temporally decoherent and spatially coherent vibrations in metal halide perovskites

Panoramic mapping of phonon transport from ultrafast electron diffraction and machine learning


Connect, secure, control, and observe services.

Observability and chaos engineering on system calls for containerized applications in Docker

Cloud Property Graph: Connecting Cloud Security Assessments with Static Code Analysis

International Conference on Cloud Computing

Demystifying Software Release Note Issues on GitHub

Research on Enterprise Service Governance Based on Service Mesh

Security Issues and Challenges in Service Meshes -- An Extended Study


Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data

Attentive Representation Learning with Adversarial Training for Short Text Clustering

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations

Generalized Clustering by Learning to Optimize Expected Normalized Cuts


Zero-Shot Text-to-Image Generation

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Improving Text-to-Image Synthesis Using Contrastive Learning

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation

Text as Neural Operator: Image Manipulation by Text Instruction

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

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

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks

Data Redaction from Conditional Generative Models

Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding

Controllable Image Generation via Collage Representations


Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

Learning to Super Resolve Intensity Images from Events

Experimental Comparison between Event and Global Shutter Cameras

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies


Implementation of Super Resolution CNN in Keras.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Image Super-Resolution Using Deep Convolutional Networks

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections


A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

Deep Learning on Graphs: A Survey

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Adversarial Classifier for Imbalanced Problems

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs

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


FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

International Journal of Computer Vision


Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration

Visual Compositional Learning for Human-Object Interaction Detection

Affordance Transfer Learning for Human-Object Interaction Detection

Detecting Human-Object Interaction via Fabricated Compositional Learning

Discovering Human-Object Interaction Concepts via Self-Compositional Learning


PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

Knowledge-based Biomedical Data Science 2019

Hypernetwork Science: From Multidimensional Networks to Computational Topology

A Framework for Automated Construction of Heterogeneous Large-Scale Biomedical Knowledge Graphs

Applying knowledge-driven mechanistic inference to toxicogenomics

An open source knowledge graph ecosystem for the life sciences

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


Datasets for Large Language Models: A Comprehensive Survey

Graph Meets LLMs: Towards Large Graph Models

Towards Urban General Intelligence: A Review and Outlook of Urban
  Foundation Models

TransGPT: Multi-modal Generative Pre-trained Transformer for
  Transportation


A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility

ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci

基因组蛋白质组与生物信息学报

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

Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs

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


PubLayNet: largest dataset ever for document layout analysis

Image-based table recognition: data, model, and evaluation

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

ICDAR 2021 Competition on Scientific Literature Parsing

Deep learning for table detection and structure recognition: A survey


Joint Embedding of Words and Labels for Text Classification

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records

Label-dependent and event-guided interpretable disease risk prediction using EHRs


pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.


Next RecSys Library

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Linear, or Non-Linear, That is the Question!

Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?

SSLRec: A Self-Supervised Learning Framework for Recommendation

COMET: Convolutional Dimension Interaction for Collaborative Filtering

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation


Simulating single-cell data using gene regulatory networks

Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data

Characterization of cell-fate decision landscapes by estimating transcription factor dynamics


PyGCL: A PyTorch Library for Graph Contrastive Learning

An Empirical Study of Graph Contrastive Learning

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Line Graph Contrastive Learning for Link Prediction

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


Fast Wilcoxon and auROC

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target

Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity

Single-cell RNA-seq differential expression tests within a sample should use pseudo-bulk data of pseudo-replicates

Metabolic modeling of single bronchoalveolar macrophages reveals regulators of hyperinflammation in COVID-19

Single-nucleus RNA sequencing reveals heterogenous microenvironments and specific drug response between cervical squamous cell carcinoma and adenocarcinoma

In Situ Spatial Reconstruction of Distinct Normal and Pathological Cell Populations Within the Human Adrenal Gland


Stand alone fMRI software suite for layer-fMRI analyses.

Layer-dependent functional connectivity methods

Zenodo (CERN European Organization for Nuclear Research)

LayNii: A software suite for layer-fMRI

Mesoscopic Quantification of Cortical Architecture in the Living Human Brain

Validating layer-specific VASO across species

Cortical depth-dependent human fMRI of resting-state networks using EPIK

A protocol for ultra-high field laminar fMRI in the human brain


[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models


Python interface to Metview meteorological workstation and batch system


Starcraft AI Bot

Deep Reinforcement Learning: An Overview

StarCraft II: A New Challenge for Reinforcement Learning

Learning to Identify Rush Strategies in StarCraft


Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Benchmark and Survey of Automated Machine Learning Frameworks

AutoML to Date and Beyond: Challenges and Opportunities

Automated Machine Learning: State-of-The-Art and Open Challenges

ATM: A distributed, collaborative, scalable system for automated machine learning

Machine learning 2.0 : Engineering Data Driven AI Products

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

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


PAIR.withgoogle.com and friend's work on interpretability methods

Visualizing and Measuring the Geometry of BERT

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models


WPS services related to hydrological modeling


Simulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows modeling of quantum networks including photonic network components, control protocols, and applications.

SeQUeNCe: a customizable discrete-event simulator of quantum networks

Resource Allocation in Quantum Networks for Distributed Quantum Computing

International Conference on Smart Computing

Parallel Simulation of Quantum Networks with Distributed Quantum State Management


Tooling for GANs in TensorFlow

Flow Matching for Generative Modeling

Generative Models for Effective ML on Private, Decentralized Datasets

Is Attention Better Than Matrix Decomposition?

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Group Equivariant Generative Adversarial Networks

Scientific Discovery by Generating Counterfactuals using Image Translation

Conditional Generation of Medical Images via Disentangled Adversarial Inference

GANMEX: One-vs-One Attributions using GAN-based Model Explainability

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures

GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines


BSR-Based Allele Calling Algorithm

chewBBACA: A complete suite for gene-by-gene schema creation and strain identification

A Core Genome Multilocus Sequence Typing Scheme for Pseudomonas aeruginosa

Genome–scale approach to study the genetic relatedness among Brucella melitensis strains

Nontuberculous Mycobacteria Persistence in a Cell Model Mimicking Alveolar Macrophages

Campylobacter jejuni in Different Canine Populations: Characteristics and Zoonotic Potential

Clonal Spread of pESI-Positive Multidrug-Resistant ST32 Salmonella enterica Serovar Infantis Isolates among Broilers and Humans in Slovenia

Genomic Background and Phylogeny of cfiA-Positive Bacteroides fragilis Strains Resistant to Meropenem-EDTA

Survey on Carbapenem-Resistant Bacteria in Pigs at Slaughter and Comparison with Human Clinical Isolates in Italy

Atypical Serogroup IVb-v1 of Listeria monocytogenes Assigned to New ST2801, Widely Spread and Persistent in the Environment of a Pork-Meat Producing Plant of Central Italy

Software testing in microbial bioinformatics: a call to action


A Planetary Intensity Code for Atmospheric Spectroscopy Observations

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b

Generic Models for Disk-resolved and Disk-integrated Phase-dependent Linear Polarization of Light Reflected from Exoplanets

Modeling Atmospheric Lines by the Exoplanet Community (MALBEC) Version 1.0: A CUISINES Radiative Transfer Intercomparison Project

A Wolf 359 in Sheep's Clothing: Hunting for Substellar Companions in the Fifth-closest System Using Combined High-contrast Imaging and Radial Velocity Analysis

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


NaturalCC: An Open-Source Toolkit for Code Intelligence

Attention Is All You Need

Sequence to Sequence Learning with Neural Networks

A Transformer-based Approach for Source Code Summarization

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

Cross-Language Binary-Source Code Matching with Intermediate Representations

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study

Proceedings of the ACM on Management of Data

Iterative Refinement of Project-Level Code Context for Precise Code
  Generation with Compiler Feedback

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

International Symposium on Software Testing and Analysis

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach


A Reference Open Source Controller for Wind Turbines

Comparison of loads from HAWC2 and OpenFAST for the IEA Wind 15 MW Reference Wind Turbine

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

A surrogate-model-based approach for estimating the first and second-order moments of offshore wind power

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

Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large Wind Turbines

Damping analysis of Floating Offshore Wind Turbine (FOWT): a new control strategy reducing the platform vibrations

A Switching Thrust Tracking Controller for Load Constrained Wind Turbines

Active power control of wind farms: an instantaneous approach on waked conditions

SCIENCE OF MAKING TORQUE FROM WIND, TORQUE 2022


Explore correlations in R

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders

Environmental Impacts of Cement Production: A Statistical Analysis

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection

Duplication and Specialization of NUDX1 in Rosaceae Led to Geraniol Production in Rose Petals

Key traits and genes associate with salinity tolerance independent from vigor in cultivated sunflower (Helianthus annuus L.)

Diverse and mobile: eccDNA-based identification of carrot low-copy-number LTR retrotransposons active in callus cultures.

The Plant journal : for cell and molecular biology

Development and Assessment of a Body Condition Score Scheme for European Bison (Bison bonasus)

Animals : an open access journal from MDPI


Qanary a methodology to construct and share resources to build QA systems

The Qanary Ecosystem: Getting New Insights by Composing Question Answering Pipelines

Systematic review of question answering over knowledge bases

CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs


Emulator for Software-Defined Wireless Networks

Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation

Prioritization Based Task Offloading in UAV-Assisted Edge Networks


Wave Energy Converter Simulator (WEC-Sim), an open-source code for simulating wave energy converters.


A damn simple library for building production-ready RESTful web services.

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

Why Developers Refactor Source Code: A Mining-based Study

Synthesizing replacement classes

Proceedings of the ACM on Programming Languages

On the Use of Mutation in Injecting Test Order-Dependency


Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

UrbanGPT: Spatio-Temporal Large Language Models

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction

How Can Large Language Models Understand Spatial-Temporal Data?


A PyTorch implementation of the Deep SVDD anomaly detection method

Deep One-Class Classification

International Conference on Machine Learning

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

Data-Driven Robust Optimization using Unsupervised Deep Learning

Unsupervised anomaly detection algorithms on real-world data: how many do we need?

Meta Learning for Few-Shot One-class Classification

Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

IEEE transactions on neural networks and learning systems

FROCC: Fast Random projection-based One-Class Classification


Official pytorch implementation of StyleMapGAN (CVPR 2021)

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

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

IA-FaceS: A Bidirectional Method for Semantic Face Editing


SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Convolutional Feature Masking for Joint Object and Stuff Segmentation

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks


Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Training Verifiers to Solve Math Word Problems

Holistic Evaluation of Language Models

Faithful Chain-of-Thought Reasoning

Large Language Models are Better Reasoners with Self-Verification

ToolQA: A Dataset for LLM Question Answering with External Tools

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

Prompt Engineering a Prompt Engineer


Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

A Survey on the Use of Graph Convolutional Networks for Combating Fake News

Dynamic Graph Representation Learning via Graph Transformer Networks

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

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs

Learning to Evolve on Dynamic Graphs

Deep learning for dynamic graphs: models and benchmarks


Code clone detection; clone-related bug detection; sematic clone analysis

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

Proposal of Automatic Offloading for Function Blocks of Applications

When Deep Learning Meets Smart Contracts

International Conference on Automated Software Engineering


Automatically exported from code.google.com/p/cuda-convnet2

Do ImageNet Classifiers Generalize to ImageNet?

Dataset Distillation

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Training Spiking Deep Networks for Neuromorphic Hardware

Extracellular space preservation aids the connectomic analysis of neural circuits

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

A Survey on Deep Learning Methods for Robot Vision

Creation of a Deep Convolutional Auto-Encoder in Caffe

Large Scale Kernel Learning using Block Coordinate Descent

Breaking Locality Accelerates Block Gauss-Seidel


Domain adaptation made easy. Fully featured, modular, and customizable.

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Learning Transferable Features with Deep Adaptation Networks

Adversarial Discriminative Domain Adaptation

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Conditional Adversarial Domain Adaptation

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation with Residual Transfer Networks

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

A DIRT-T Approach to Unsupervised Domain Adaptation


:microscope: BEDOPS: high-performance genomic feature operations

The genomic landscape of 2,023 colorectal cancers

The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia

Gene Regulatory Interactions at Lamina-Associated Domains

Cellular and Genomic Features of Muscle Differentiation from Isogenic Fibroblasts and Myoblasts


:books: R interface to the Bio-Formats library

An Optogenetic Method to Modulate Cell Contractility during Tissue Morphogenesis

Fine-Tuning Cardiac Insulin-Like Growth Factor 1 Receptor Signaling to Promote Health and Longevity

Autoimmunity affecting the biliary tract fuels the immunosurveillance of cholangiocarcinoma

Exploring the Limits of Combined Image/'omics Analysis for Non-cancer Histological Phenotypes


Ultra-fast de novo assembler using long noisy reads

Minimap2: pairwise alignment for nucleotide sequences

The sea cucumber genome provides insights into morphological evolution and visceral regeneration

Haplotype-resolved genome analyses of a heterozygous diploid potato

SMARTdenovo: a de novo assembler using long noisy reads

de novo assembly and population genomic survey of natural yeast isolates with the Oxford Nanopore MinION sequencer

The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing.

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome

Characterization of a Y-specific duplication/insertion of the anti-Mullerian hormone type II receptor gene based on a chromosome-scale genome assembly of yellow perch, Perca flavescens

Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data


Targeted Learning for Survival Analysis

Improved estimation of the cumulative incidence of rare outcomes

Inference for Treatment-Specific Survival Curves Using Machine Learning

One-step Targeted Maximum Likelihood for Time-to-event Outcomes


Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering


:sunny: Open-source view-factor model for diffuse shading and bifacial PV modeling. Documentation:


Python library for Room Impulse Response (RIR) simulation with GPU acceleration

gpuRIR: A python library for room impulse response simulation with GPU acceleration

FRA-RIR: Fast Random Approximation of the Image-source Method

Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture

Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training

Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer


Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference

A Comparative Study of Algorithms for Intelligent Traffic Signal Control

Smart innovation, systems and technologies

Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey


SHallow shOtGUN profiler

Evaluating the Information Content of Shallow Shotgun Metagenomics

QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data

SHOGUN: a modular, accurate and scalable framework for microbiome quantification


A repository in development for a solar powered network of servers that host a distributed web platform. Project by Tega Brain, Alex Nathanson and Benedetta Piantella. Supported by Eyebeam, Mozilla, and CS&S


A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments

Clustering of single-cell multi-omics data with a multimodal deep learning method

Deep Learning in Single-Cell Analysis

Single Cell Self-Paced Clustering with Transcriptome Sequencing Data

International journal of molecular sciences

Single-cell data clustering based on sparse optimization and low-rank matrix factorization


Code for modelling estimated deaths and cases for COVID19.

Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

A quantitative compendium of COVID-19 epidemiology

Open Data Resources for Fighting COVID-19

CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility

Zenodo (CERN European Organization for Nuclear Research)

An Exploratory Characterization of Bugs in COVID-19 Software Projects

Modelling the Evolution of COVID-19 in High-Incidence European Countries and Regions: Estimated Number of Infections and Impact of Past and Future Intervention Measures

The impact of a COVID-19 lockdown on work productivity under good and poor compliance

More prevalent, less deadly? Bayesian inference of the COVID19 Infection Fatality Ratio from mortality data

Software Engineering Standards for Epidemiological Modeling


Minimal solvers for calibrated camera pose estimation

MeshLoc: Mesh-Based Visual Localization

Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems

P1AC: Revisiting Absolute Pose From a Single Affine Correspondence

On Relative Pose Recovery for Multi-Camera Systems

Socially Pertinent Robots in Gerontological Healthcare


Code relative to "Reliable  evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Adversarial Weight Perturbation Helps Robust Generalization

RobustBench: a standardized adversarial robustness benchmark

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Fixing Data Augmentation to Improve Adversarial Robustness

Improving Robustness using Generated Data

Data Augmentation Can Improve Robustness

LAS-AT: Adversarial Training with Learnable Attack Strategy

Learnable Boundary Guided Adversarial Training


flame is a federated learning system for edge with flexibility and scalability at the core of its design.

Flame: Simplifying Topology Extension in Federated Learning

Not All Federated Learning Algorithms Are Created Equal: A Performance
  Evaluation Study


GNU Octave library for connectivity analysis in large fMRI datasets

The Neuro Bureau ADHD-200 Preprocessed repository

Estimating differential latent variable graphical models with applications to brain connectivity

A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables

A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol


minorminer is a heuristic tool for minor embedding: given a minor and target graph, it tries to find a mapping that embeds the minor into the target.

Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies

Approximate Approximation on a Quantum Annealer

Solving the Traveling Salesman Problem on the D-Wave Quantum Computer

Quantum chemistry on quantum annealers

Integer programming techniques for minor-embedding in quantum annealers

Embedding of complete graphs in broken Chimera graphs

Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem

Tutorial: calibration refinement in quantum annealing

On the Price of Locality in Static Fast Rerouting

4-clique Network Minor Embedding for Quantum Annealers


IBM Analog Hardware Acceleration Kit

A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference

Towards Exact Gradient-based Training on Analog In-memory Computing


SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays

International Conference on Computational Linguistics

Applying Argumentation Schemes for Essay Scoring

Meeting of the Association for Computational Linguistics

Semantic classifications for detection of verb metaphors

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

Different Texts, Same Metaphors: Unigrams and Beyond

Proceedings of the Second Workshop on Metaphor in NLP

Supervised Word-Level Metaphor Detection: Experiments with Concreteness and Reweighting of Examples

Proceedings of the Third Workshop on Metaphor in NLP

Scoring Interactional Aspects of Human-Machine Dialog for Language Learning and Assessment using Text Features

Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing

Workshop on Innovative Use of NLP for Building Educational Applications

Do face masks introduce bias in speech technologies? The case of automated scoring of speaking proficiency


PlayGround: AI Research into Multi-Agent Learning.

Pommerman: A Multi-Agent Playground

Real-time tree search with pessimistic scenarios

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman

Accelerating Training in Pommerman with Imitation and Reinforcement Learning


A series of large language models trained from scratch by developers @01-ai

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Yi: Open Foundation Models by 01.AI

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

CMB: A Comprehensive Medical Benchmark in Chinese

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

An Open Source Data Contamination Report for Large Language Models

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to
  256K

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models
  with a Self-Critique Pipeline


Finite Element Analysis Library in Python

Piecewise Divergence-Free Nonconforming Virtual Elements for Stokes Problem in Any Dimensions

H^m-Conforming Virtual Elements in Arbitrary Dimension

Geometric Decomposition and Efficient Implementation of High Order Face and Edge Elements

Virtual Element Methods Without Extrinsic Stabilization

An adaptive virtual element method for the polymeric self-consistent field theory

Computers and Mathematics with Applications

A Posteriori Error Analysis of the Hybrid High-Order Method for the Stokes Problem


BookNLP, a natural language processing pipeline for books

An Annotated Dataset of Coreference in English Literature

Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

Measuring Information Propagation in Literary Social Networks

The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts

Improving Automatic Quotation Attribution in Literary Novels

Grounding Characters and Places in Narrative Texts

Using NLP to Support English Teaching in Rural Schools

Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)

One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting

Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations


llama and other  large language models on iOS and MacOS offline using GGML library.

LLaMA: Open and Efficient Foundation Language Models

MiniCPM: Unveiling the Potential of Small Language Models with Scalable
  Training Strategies

Locally Typical Sampling

Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity

MELTing point: Mobile Evaluation of Language Transformers


Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

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

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis


A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

DKN: Deep Knowledge-Aware Network for News Recommendation

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

User Response Prediction in Online Advertising

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning


Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Network pruning via resource reallocation

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks

ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

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

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets


DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

A Survey on Time-Series Pre-Trained Models

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection


Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Towards the Detection of Diffusion Model Deepfakes

DeepFake-o-meter: An Open Platform for DeepFake Detection

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Detection of GAN-Synthesized Image Based on Discrete Wavelet Transform

On the detection of morphing attacks generated by GANs

CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning

Reliable Out-of-Distribution Recognition of Synthetic Images


A module for normalising text.

Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining

A Text Normalisation System for Non-Standard English Words

Empirical Methods in Natural Language Processing

Towards Semi-Supervised Semantics Understanding from Speech


Large datasets for conversational AI

ConveRT: Efficient and Accurate Conversational Representations from Transformers

Training Neural Response Selection for Task-Oriented Dialogue Systems

A Repository of Conversational Datasets

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?


Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Graph neural network for traffic forecasting: A survey

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

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer

Deep Coupling Network For Multivariate Time Series Forecasting

Spatiotemporal Covariance Neural Networks


Small utilities for working with fastq sequence files.

cfDNA methylome profiling for detection and subtyping of small cell lung cancers

Neofusicoccum parvum Colonization of the Grapevine Woody Stem Triggers Asynchronous Host Responses at the Site of Infection and in the Leaves

Mitogenomics of historical type specimens of Australasian turtles: clarification of taxonomic confusion and old mitochondrial introgression

A generalist–specialist trade-off between switchgrass cytotypes impacts climate adaptation and geographic range

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

Fast and cost-effective SARS-CoV-2 variant detection using Oxford Nanopore full-length spike gene sequencing


A Collection of BM25 Algorithms in Python

A Neural Corpus Indexer for Document Retrieval

LESS: Selecting Influential Data for Targeted Instruction Tuning

Extreme Multi-label Learning for Semantic Matching in Product Search

DialFact: A Benchmark for Fact-Checking in Dialogue

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Patton: Language Model Pretraining on Text-Rich Networks

Coverage-based Example Selection for In-Context Learning

Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases

CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example

Graph Reasoning for Question Answering with Triplet Retrieval


Line by line code for radial velocity

New Mass and Radius Constraints on the LHS 1140 Planets: LHS 1140 b Is either a Temperate Mini-Neptune or a Water World

Masses, revised radii, and a third planet candidate in the 'Inverted' planetary system around TOI-1266

Gliese 12 b, a temperate Earth-sized planet at 12 parsecs discovered with TESS and CHEOPS


MUSE Python Data Analysis Framework

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

Publications of the Astronomical Society of Australia

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

The MAGPI survey: effects of spiral arms on different tracers of the interstellar medium and stellar populations at z ∼ 0.3

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

The MAGPI survey: evolution of radial trends in star formation activity across cosmic time


A Python toolkit for running and coupling Earth surface models


The SP800-90B_EntropyAssessment C++package implements the min-entropy assessment methods included in Special Publication 800-90B.

A Fully Digital True Random Number Generator With Entropy Source Based in Frequency Collapse

Random number generation from a quantum tunneling diode

On Entropy and Bit Patterns of Ring Oscillator Jitter

Multiplexing quantum tunneling diodes for random number generation


A collection of structured and unstructured ESMF regridding schemes for Iris.

Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere

Evaluation of native Earth system model output with ESMValTool v2.6.0

The Impact of the Explicit Representation of Convection on the Climate of a Tidally Locked Planet in Global Stretched-mesh Simulations


Discourse Network Analyzer (DNA)

A discourse network analysis of UK newspaper coverage of the “sugar tax” debate before and after the announcement of the Soft Drinks Industry Levy

JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH

Mapping discourse coalitions in the minimum unit pricing for alcohol debate: a discourse network analysis of UK newspaper coverage

Staying away, staying alive: Exploring risk and stigma of COVID-19 in the context of beliefs, actors and hierarchies in India

Incumbents’ Strategies in Media Coverage: A Case of the Czech Coal Policy

Framing brain drain: between solidarity and skills in European labor mobility

Review of International Political Economy

Media Coverage and Perceived Policy Influence of Environmental Actors: Good Strategy or Pyrrhic Victory?

Policy congruence and advocacy strategies in the discourse networks of minimum unit pricing for alcohol and the soft drinks industry levy

Gatekeeping the Plenary Floor: Discourse Network Analysis as a Novel Approach to Party Control

NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action


Neologism dictionary based on the language resources on the Web for mecab-ipadic

An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese

Towards Burmese (Myanmar) Morphological Analysis

ACM Transactions on Asian and Low-Resource Language Information Processing

Construction of a Large-scale Japanese ASR Corpus on TV Recordings

Inference of Personal Attributes from Tweets Using Machine Learning

A framework for building closed-domain chat dialogue systems

Detecting Bad Smells in Use Case Descriptions

IEEE International Requirements Engineering Conference

Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports

Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

Extractive Headline Generation Based on Learning to Rank for Community Question Answering

International Conference on Computational Linguistics

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE Journal on Selected Topics in Signal Processing


MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

A generative graph model for electrical infrastructure networks

An Influence Model Approach to Failure Cascade Prediction in Large Scale Power Systems

Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids


Official DeiT repository

Training data-efficient image transformers & distillation through attention

Going deeper with Image Transformers

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

ResMLP: Feedforward networks for image classification with data-efficient training

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

DeiT III: Revenge of the ViT

A-ViT: Adaptive Tokens for Efficient Vision Transformer

Is synthetic data from generative models ready for image recognition?

Task-Oriented Multi-User Semantic Communications

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition


Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

Attention Is All You Need

Learning Deep Features for Discriminative Localization

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Nematus: a Toolkit for Neural Machine Translation

Simultaneous Food Localization and Recognition

Computational Commensality: From Theories to Computational Models for Social Food Preparation and Consumption in HCI

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

The Prague Bulletin of Mathematical Linguistics


Creative Commons Attribution 4.0 International

RISC-V cryptography extensions standardisation work.

A Lightweight ISA Extension for AES and SM4

Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms

On Entropy and Bit Patterns of Ring Oscillator Jitter

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

Constant-Time Wasmtime, for Real This Time: End-to-End Verified Zero-Overhead Constant-Time Programming for the Web and Beyond


Variational Quantum Circuit Simulator for Quantum Computation Research

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design

Quantum Long Short-Term Memory

Estimating the gradient and higher-order derivatives on quantum hardware

Qibo: a framework for quantum simulation with hardware acceleration

Calculation of the Green's function on near-term quantum computers

Jastrow-type Decomposition in Quantum Chemistry for Low-Depth Quantum Circuits

Journal of chemical theory and computation

Theory of analytical energy derivatives for the variational quantum eigensolver

TEQUILA: a platform for rapid development of quantum algorithms

A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers

Variational quantum algorithm for nonequilibrium steady states


Caffe: a fast open framework for deep learning.

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

Fast and robust multiple ColorChecker detection using deep convolutional neural networks

MoRS: An Approximate Fault Modelling Framework for Reduced-Voltage SRAMs

μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching


E-mails, subdomains and names Harvester - OSINT

A survey exploring open source Intelligence for smarter password cracking

Forensic Science International: Digital Investigation

Survey and Taxonomy of Adversarial Reconnaissance Techniques

Investigating the Ecosystem of Offensive Information Security Tools


The lxml XML toolkit for Python

The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers

PROCEEDINGS OF THE 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS, (ACL 2019)

GIRT-Data: Sampling GitHub Issue Report Templates

Accessing United States Bulk Patent Data with patentpy and patentr

Structured Extraction of Terms and Conditions from German and English Online Shops

Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)


Implementation of the CheXNet network (PyTorch)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning

Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions

Machine Learning for Exam Triage


Yet another static code analyzer for malicious Android applications

An Analysis of Pre-installed Android Software

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Metamorphic Detection of Repackaged Malware

Analysis and Evaluation of SafeDroid v2.0, a Framework for Detecting Malicious Android Applications


PyTorch bottom-up attention with Detectron2

Multimodal Learning for Hateful Memes Detection

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

Decoding the Underlying Meaning of Multimodal Hateful Memes

Object-Centric Representation Learning for Video Question Answering


PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Fully Convolutional Networks for Semantic Segmentation

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

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

Structured Output Learning with Conditional Generative Flows

Deep learning fetal ultrasound video model match human observers in biometric measurements

Priming Neural Networks

Plugin Networks for Inference under Partial Evidence

Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI


Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Meeting of the Association for Computational Linguistics

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

Identification of the Knowledge Structure of Cancer Survivors’ Return to Work and Quality of Life: A Text Network Analysis

International journal of environmental research and public health

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

National Culture and Culinary Exploration: Japan Evidence of Heterogenous Moderating Roles of Social Facilitation

Nonparametric Forest-Structured Neural Topic Modeling


Benchmarks for popular CNN models

SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability

An Optical Frontend for a Convolutional Neural Network

Decoupled Parallel Backpropagation with Convergence Guarantee

TBD: Benchmarking and Analyzing Deep Neural Network Training

Biologically-plausible learning algorithms can scale to large datasets

Beyond saliency: Understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation

FfDL: A Flexible Multi-tenant Deep Learning Platform

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval


Reinforcement learning algorithms for MuJoCo tasks

MOReL : Model-Based Offline Reinforcement Learning

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

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

A Game Theoretic Framework for Model Based Reinforcement Learning

RRL: Resnet as representation for Reinforcement Learning


SolTrace


Finite-amplitude Impulse Response simple climate model

FAIR v1.3: a simple emissions-based impulse response and carbon cycle model

Current fossil fuel infrastructure does not yet commit us to 1.5 °C warming

A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions

The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

An integrated approach to quantifying uncertainties in the remaining carbon budget

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


Open-Source Machine Translation Quality Estimation in PyTorch

OpenKiwi: An Open Source Framework for Quality Estimation

Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

Empirical Methods in Natural Language Processing

IST-Unbabel 2021 Submission for the Quality Estimation Shared Task

Tencent submission for WMT20 Quality Estimation Shared Task

TMUOU Submission for WMT20 Quality Estimation Shared Task

The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

DeepSPIN: Deep Structured Prediction for Natural Language Processing

European Association for Machine Translation Conferences/Workshops

Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement

Findings of the Association for Computational Linguistics: ACL 2023


A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

Unsupervised Social Bot Detection via Structural Information Theory

Account credibility inference based on news-sharing networks

Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+


fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

A Unified Generative Framework for Various NER Subtasks

A Unified Generative Framework for Aspect-Based Sentiment Analysis

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction

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


Generalized Targeted Learning Framework

Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials

Canonical Least Favorable Submodels:A New TMLE Procedure for Multidimensional Parameters

Kernel Smoothing of the Treatment Effect CDF


PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance


:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature

Controlling the Reading Level of Machine Translation Output

TextDescriptives: A Python package for calculating a large variety of metrics from text

Machine learning for learner English

International Journal of Learner Corpus Research

Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset

Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

Meta-learning of textual representations

Prompt-based Learning for Text Readability Assessment

A Benchmark for Neural Readability Assessment of Texts in Spanish

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)

Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction


Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings.


A static verifier for Rust, based on the Viper verification infrastructure.

Leveraging Rust Types for Modular Specification and Verification

Proceedings of the ACM on Programming Languages

The Prusti Project: Formal Verification for Rust

Verified Rust Monitors for Lola Specifications

Staged Specifications for Automated Verification of Higher-Order Imperative Programs


An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

KAN: Kolmogorov-Arnold Networks

Kolmogorov-Arnold Networks are Radial Basis Function Networks

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning

BSRBF-KAN: A combination of B-splines and Radial Basic Functions in Kolmogorov-Arnold Networks

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data

Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for
  Learning Dynamical Systems and Hidden Physics

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks

HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter


Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity

Learning Approximate Execution Semantics From Traces for Binary Function Similarity

IEEE Transactions on Software Engineering


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

Attention Correctness in Neural Image Captioning

Context-aware Captions from Context-agnostic Supervision

Does Multimodality Help Human and Machine for Translation and Image Captioning?

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Learning to generalize to new compositions in image understanding

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

3G structure for image caption generation

A Semi-supervised Framework for Image Captioning

Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning.


ACL 2022: BRIO: Bringing Order to Abstractive Summarization

News Summarization and Evaluation in the Era of GPT-3

Joint Generator-Ranker Learning for Natural Language Generation

Calibrating Likelihoods towards Consistency in Summarization Models

Abstractive Text Summarization Using the BRIO Training Paradigm

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization


Pytorch implementation of Center Loss

A Discriminative Feature Learning Approach for Deep Face Recognition

C3VQG: Category Consistent Cyclic Visual Question Generation

Towards Unbiased Visual Emotion Recognition via Causal Intervention

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers

PetFace: A Large-Scale Dataset and Benchmark for Animal Identification


build net work from skeleton image (2D-3D)

SpaceNet: A Remote Sensing Dataset and Challenge Series

Robotic Endoscope Control Via Autonomous Instrument Tracking

Road Network Reconstruction from satellite images with Machine Learning Supported by Topological Methods

Advances in Geographic Information Systems

Learning Robot Swarm Tactics over Complex Adversarial Environments

City-scale Road Extraction from Satellite Imagery

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams


CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis

Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention

DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning


Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study

ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization

IntactKV: Improving Large Language Model Quantization by Keeping Pivot
  Tokens Intact


A power station dictionary that enables mapping between various naming conventions and associated plant metadata


Bifrost: Highly parallel construction and indexing of colored and compacted de Bruijn graphs

Bifrost: highly parallel construction and indexing of colored and compacted de Bruijn graphs

Alignment- and reference-free phylogenomics with colored de-Bruijn graphs

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

RGFA: powerful and convenient handling of assembly graphs


Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Tiny LVLM-eHub: Early Multimodal Experiments with Bard

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards
  General Medical AI


A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Optimizing for the Future in Non-Stationary MDPs

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes

Chinese diabetes datasets for data-driven machine learning

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control

Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference

Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds

Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning

Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty.