Application Kernel for Containers

The Serverless Computing Survey: A Technical Primer for Design Architecture

Rise of the Planet of Serverless Computing: A Systematic Review

FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

Zenodo (CERN European Organization for Nuclear Research)

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

A fresh look at the architecture and performance of contemporary isolation platforms

Proceedings of the 22nd International Middleware Conference

Loupe: Driving the Development of OS Compatibility Layers

An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report

Hibernate Container: A Deflated Container Mode for Fast Startup and High-density Deployment in Serverless Computing


Performance tests for Apache Spark

MLlib: Machine Learning in Apache Spark

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

International Conference on Distributed Computing Systems

Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach

Decision Stream: Cultivating Deep Decision Trees

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs

No Delay: Latency-Driven, Application Performance-Aware, Cluster Scheduling

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics


The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of
  Large Vision-Language Models

Safety of Multimodal Large Language Models on Images and Text

PhD: A Prompted Visual Hallucination Evaluation Dataset

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark


PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

A Divide-and-Conquer Approach to the Summarization of Long Documents

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

Investigating Efficiently Extending Transformers for Long Input Summarization

A Thorough Evaluation of Task-Specific Pretraining for Summarization

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

Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals


Silero VAD: pre-trained enterprise-grade Voice Activity Detector

End-to-end speaker segmentation for overlap-aware resegmentation

Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit

Seamless: Multilingual Expressive and Streaming Speech Translation

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

The IMS Toucan System for the Blizzard Challenge 2023

Estonian Speech Recognition and Transcription Editing Service

Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer

AVATAR: Unconstrained Audiovisual Speech Recognition

Towards human-like spoken dialogue generation between AI agents from written dialogue

Careless Whisper: Speech-to-Text Hallucination Harms


moDel Agnostic Language for Exploration and eXplanation

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Explainable AI Methods - A Brief Overview

Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions

Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature


D2Go is a toolkit for efficient deep learning

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run

PupilSense: Detection of Depressive Episodes Through Pupillary Response
  in the Wild


Public domain software for processing and analyzing scientific images

Tsc1 haploinsufficiency in Nkx2.1 cells upregulates hippocampal interneuron mTORC1 activity, impairs pyramidal cell synaptic inhibition, and alters contextual fear discrimination and spatial working memory in mice

GSTpi regulates VE-cadherin stabilization through promoting S-glutathionylation of Src

Development of a conductive biocomposite combining graphene and amniotic membrane for replacement of the neuronal network of tissue-engineered urinary bladder

Microglial morphometric analysis: so many options, so little consistency

IL-22 regulates endometrial regeneration by enhancing tight junctions and orchestrating extracellular matrix

DW2009 Elevates the Efficacy of Donepezil against Cognitive Impairment in Mice

Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Role of EmaSR in Ethanol Metabolism by Acinetobacter baumannii

International journal of molecular sciences

Preventive Effects of Chlorogenic Acid on Alveolar Bone Loss in Ligature-Induced Periodontitis in Mice

A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations


PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

Hyperbolic Neural Networks++

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

Robust Large-Margin Learning in Hyperbolic Space

Riemannian Adaptive Optimization Algorithm and Its Application to Natural Language Processing

Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text

Federated Learning on Riemannian Manifolds with Differential Privacy

Nested Subspace Arrangement for Representation of Relational Data

Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space


Bolt is a deep learning library with high performance and heterogeneous flexibility.

Recurrent Bilinear Optimization for Binary Neural Networks

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance

IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors

Resilient Binary Neural Network

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs

HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task

Binarizing by Classification: Is Soft Function Really Necessary?


A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Neural Collaborative Filtering

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Controllable Multi-Interest Framework for Recommendation

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation


Contextually-keyed word vectors

sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings

Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners

Language Modelling Approaches to Adaptive Machine Translation


An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

fastp: an ultra-fast all-in-one FASTQ preprocessor

Resistance of SARS-CoV-2 variants to neutralization by monoclonal and serum-derived polyclonal antibodies

PRMD: an integrated database for plant RNA modifications

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Retention of paternal DNA methylome in the developing zebrafish germline

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

A simple guide to de novo transcriptome assembly and annotation

CancerSCEM: a database of single-cell expression map across various human cancers

Skeletal Muscle Disorders: A Noncardiac Source of Cardiac Troponin T

Reduced Chemical Fertilizer Combined With Bio-Organic Fertilizer Affects the Soil Microbial Community and Yield and Quality of Lettuce


Autograd automatically differentiates native Torch code

Automatic differentiation in machine learning: a survey

Theano: A Python framework for fast computation of mathematical expressions

AutoGraph: Imperative-style Coding with Graph-based Performance

Perturbation confusion in forward automatic differentiation of higher-order functions


A Python library that helps data scientists to infer causation rather than observing correlation.

Evaluation Methods and Measures for Causal Learning Algorithms

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Causalvis: Visualizations for Causal Inference

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

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS

Case Studies of Causal Discovery from IT Monitoring Time Series

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge

pgmpy: A Python Toolkit for Bayesian Networks

Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms

Learning domain-specific causal discovery from time series


DLRover: An Automatic Distributed Deep Learning System

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


Reinforcement Learning environments based on the 1993 game Doom :godmode:

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

ViZDoom Competitions: Playing Doom from Pixels

Automated Curriculum Learning by Rewarding Temporally Rare Events

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

Causal Reinforcement Learning: A Survey

Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result


Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Sequence to Sequence Learning

A Call for Clarity in Reporting BLEU Scores

Achieving Human Parity on Automatic Chinese to English News Translation

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures

Training Tips for the Transformer Model

The Prague Bulletin of Mathematical Linguistics

Sockeye: A Toolkit for Neural Machine Translation

A Study of Reinforcement Learning for Neural Machine Translation

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


JupyterLab computational environment.

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Proceedings of the ACM on Human-Computer Interaction

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

How Much Automation Does a Data Scientist Want?

Using Containers to Create More Interactive Online Training and Education Materials

Practice and Experience in Advanced Research Computing

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure

JOVIAL: Notebook-based astronomical data analysis in the cloud

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing

Essential tools of linear algebra for calculating nuclear spin dynamics of chemically exchanging systems

Notably Inaccessible — Data Driven Understanding of Data Science Notebook (In)Accessibility


RISC-V CPU Core (RV32IM)

Don't CWEAT It

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design


Rowhammer.js - A Remote Software-Induced Fault Attack in JavaScript

SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks

PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses

CAn't Touch This: Practical and Generic Software-only Defenses Against Rowhammer Attacks

CATTmew: Defeating Software-Only Physical Kernel Isolation

IEEE Transactions on Dependable and Secure Computing


Deep Compression on AlexNet

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Learning both Weights and Connections for Efficient Neural Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Compact and Computationally Efficient Representation of Deep Neural Networks

Dynamic Runtime Feature Map Pruning

Power Law in Sparsified Deep Neural Networks


A BERT model for scientific text.

SciBERT: A Pretrained Language Model for Scientific Text

S2ORC: The Semantic Scholar Open Research Corpus

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

A Survey of Deep Learning for Scientific Discovery

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

Biomedical Event Extraction as Multi-turn Question Answering

International Workshop on Health Text Mining and Information Analysis

How can natural language processing help model informed drug development?: a review


Interpretability Methods for tf.keras models with Tensorflow 2.x

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Axiomatic Attribution for Deep Networks

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

SmoothGrad: removing noise by adding noise

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images


A full spaCy pipeline and models for scientific/biomedical documents.

SciBERT: A Pretrained Language Model for Scientific Text

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

Named Entities in Medical Case Reports: Corpus and Experiments

Rethinking Document-Level Relation Extraction: A Reality Check

Simple Questions Generate Named Entity Recognition Datasets

Identify Novel Elements of Knowledge with Word Embedding

The InsightsNet Climate Change Corpus (ICCC)

Datenbanksysteme für Business, Technologie und Web

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction


Hummingbird compiles trained ML models into tensor computation for faster inference.

A Tensor Compiler for Unified Machine Learning Prediction Serving

Query Processing on Tensor Computation Runtimes

Privacy-Preserving Tree-Based Inference with TFHE


Mesh TensorFlow: Model Parallelism Made Easier

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

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

Mesh-TensorFlow: Deep Learning for Supercomputers

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

ST-MoE: Designing Stable and Transferable Sparse Expert Models

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Varuna: Scalable, Low-cost Training of Massive Deep Learning Models

HyperPrompt: Prompt-based Task-Conditioning of Transformers


A heap memory profiler for Linux

tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads

International Conference on Cluster Computing

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

COMPUTING ARBITRARILY LARGE MESHES WITH LEVEL-OF-DETAIL SUPPORT FOR CESIUM 3D TILES

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

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

AviationGPT: A Large Language Model for the Aviation Domain

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language
  Models

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

AI Literature Review Suite


Transportation Networks for Research

The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies

Residual Correlation in Graph Neural Network Regression

Graph-based Semi-Supervised & Active Learning for Edge Flows

HodgeNet: Graph Neural Networks for Edge Data

Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation

A many-to-many assignment game and stable outcome algorithm to evaluate collaborative mobility-as-a-service platforms

Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty

A Stochastic Multiagent Optimization Framework for Interdependent Transportation and Power System Analyses

Modular vehicle technology for emergency medical services

Transportation research. Part C, Emerging technologies

A Risk-Averse Shelter Location and Evacuation Routing Assignment Problem in an Uncertain Environment

International journal of environmental research and public health


Tools for merging pretrained large language models.

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

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Evolutionary Optimization of Model Merging Recipes

Arcee's MergeKit: A Toolkit for Merging Large Language Models

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment

Model Stock: All we need is just a few fine-tuned models

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of
  Large Language Models

OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination
  Detection with Weakly Supervised Data

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization


VarDict

Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M

VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Generation of stable PDX derived cell lines using conditional reprogramming

Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis

Relationship of HER2 Alteration and Microsatellite Instability Status in Colorectal Adenocarcinoma

Urinary Comprehensive Genomic Profiling Correlates Urothelial Carcinoma Mutations with Clinical Risk and Efficacy of Intervention

Accuracy of somatic variant detection in multiregional tumor sequencing data

Abstract B51: Tumor genetic shift post standard of care therapy


Reinforcement Learning in PyTorch

Decoupling Representation Learning from Reinforcement Learning

An Empirical Model of Large-Batch Training

Accelerated Methods for Deep Reinforcement Learning

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Pretraining Representations for Data-Efficient Reinforcement Learning

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Redeeming Intrinsic Rewards via Constrained Optimization

Distributionally Robust Policy Learning via Adversarial Environment Generation

Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments


Fast Elliptic Curve Cryptography in plain javascript

Efficient Private Statistics with Succinct Sketches

Privacy-Friendly Mobility Analytics using Aggregate Location Data

Microwalk-CI

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

IoT Device Integration and Payment via an Autonomic Blockchain-Based Service for IoT Device Sharing

BaseSAP: Modular Stealth Address Protocol for Programmable Blockchains


Collective Knowledge (CK) is an educational community project to learn how to run AI, ML and other emerging workloads in the most efficient and cost-effective way across diverse models, data sets, software and hardware using MLCommons CM (Collective Mind workflow automation framework)

Collective knowledge: organizing research projects as a database of reusable components and portable workflows with common interfaces

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques

Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science

The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps

GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication

Integrating a large-scale testing campaign in the CK framework

Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources

SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments


XGBoost: A Scalable Tree Boosting System

Real-Time Bidding Benchmarking with iPinYou Dataset

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

Cross-Device Tracking: Matching Devices and Cookies

Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge

Evaluating Doctor Performance: Ordinal Regression-Based Approach

Integration Analysis of Single‐Cell Multi‐Omics Reveals Prostate Cancer Heterogeneity


AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation


A Keras port of Single Shot MultiBox Detector

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

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

CNN Based Detectors on Planetary Environments: A Performance Evaluation

Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats

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

A Novel Inspection System For Variable Data Printing Using Deep Learning

Open Source Assessment of Deep Learning Visual Object Detection


A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Dynamic Routing Between Capsules

Pushing the Limits of Capsule Networks

Galaxy morphology prediction using Capsule Networks

Monthly notices of the Royal Astronomical Society

PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks


Elegant parsing in Java and Scala - lightweight, easy-to-use, powerful.

Syntax error recovery in parsing expression grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars


A concise but complete full-attention transformer with a set of promising experimental features from various papers

Highly accurate protein structure prediction with AlphaFold

High-Resolution Image Synthesis with Latent Diffusion Models

Transformers without Tears: Improving the Normalization of Self-Attention

LRM: Large Reconstruction Model for Single Image to 3D

Augmenting Self-attention with Persistent Memory

Talking-Heads Attention

Memory Transformer

Exposing Attention Glitches with Flip-Flop Language Modeling

MedGPT: Medical Concept Prediction from Clinical Narratives

Vector Quantized Time Series Generation with a Bidirectional Prior Model


Line based ATR Engine based on OCRopy

Optical character recognition with neural networks and post-correction with finite state methods

International Journal on Document Analysis and Recognition (IJDAR)

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

Journal for Language Technology and Computational Linguistics

FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems

How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR

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

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation


A Framework for Encrypted Machine Learning in TensorFlow

SIRNN: A Math Library for Secure RNN Inference

Private Machine Learning in TensorFlow using Secure Computation

Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning

A Comprehensive Survey on Trustworthy Recommender Systems

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation


StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Differentiable Augmentation for Data-Efficient GAN Training

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Extracting Training Data from Diffusion Models

ContraGAN: Contrastive Learning for Conditional Image Generation

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

The ArtBench Dataset: Benchmarking Generative Models with Artworks

Conditional GANs with Auxiliary Discriminative Classifier

Training on Thin Air: Improve Image Classification with Generated Data

A Unified View of cGANs with and without Classifiers


A collection of sequencing protocols and bioinformatic resources for SARS-CoV-2 sequencing.

A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2

Virologic and Immunologic Characterization of COVID-19 Recrudescence after Nirmatrelvir/Ritonavir Treatment

A recurrent mutation at position 26,340 of SARS-CoV-2 is associated with failure of the E-gene qRT-PCR utilised in a commercial dual-target diagnostic assay

SARS-CoV-2 B.1.1.7 Infection of Syrian Hamster Does Not Cause More Severe Disease, and Naturally Acquired Immunity Confers Protection

Shedding of Viable Virus in Asymptomatic SARS-CoV-2 Carriers

A Novel SARS-CoV-2 Viral Sequence Bioinformatic Pipeline Has Found Genetic Evidence That the Viral 3′ Untranslated Region (UTR) Is Evolving and Generating Increased Viral Diversity

Rapid, sensitive, full genome sequencing of Severe Acute Respiratory Syndrome Virus Coronavirus 2 (SARS-CoV-2)

The G614 pandemic SARS-CoV-2 variant is not more pathogenic than the original D614 form in adult Syrian hamsters

COVID-19 outbreak in Malaysia: Decoding D614G mutation of SARS-CoV-2 virus isolated from an asymptomatic case in Pahang

Whole genome sequence analysis showing unique SARS-CoV-2 lineages of B.1.524 and AU.2 in Malaysia


InaSAFE - QGIS plugin for estimating impact from natural disasters


MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

A review on outlier/anomaly detection in time series data

A Meta-level Analysis of Online Anomaly Detectors

Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing

Predict COVID-19 Spreading With C-SMOTE

Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling


Migrate C code to Rust

Code Translation with Compiler Representations

Translating C to safer Rust

Proceedings of the ACM on Programming Languages

Multilingual Code Co-evolution using Large Language Models

Ownership guided C to Rust translation

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation

Zenodo (CERN European Organization for Nuclear Research)

Semantic Analysis of Macro Usage for Portability

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering


This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Self-Refine: Iterative Refinement with Self-Feedback

The Adverse Effects of Code Duplication in Machine Learning Models of Code

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Learning to Represent Programs with Heterogeneous Graphs

Educational Data Mining to Support Programming Learning Using Problem-Solving Data

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis

Large Language Models of Code Fail at Completing Code with Potential Bugs

FixEval: Execution-based Evaluation of Program Fixes for Programming Problems

MSCCD

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


Development of homotopy type theory in Agda

The HoTT Library: A formalization of homotopy type theory in Coq

On the homotopy groups of spheres in homotopy type theory

The univalence axiom for elegant Reedy presheaves

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Internalizing Representation Independence with Univalence

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy Theory

Cellular Cohomology in Homotopy Type Theory

Higher Homotopies in a Hierarchy of Univalent Universes

Fibred Fibration Categories


Official release of InternLM2.5 base and chat models. 1M context support

Qwen Technical Report

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

AgentBench: Evaluating LLMs as Agents

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

InternLM-XComposer2: Mastering Free-form Text-Image Composition and
  Comprehension in Vision-Language Large Model

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal
  Models with Open-Source Suites

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models


Protocol specification, white paper, high level documents, etc.

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems

COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion

A Survey on Contact Tracing: the Latest Advancements and Challenges

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Contact Tracing Made Un-relay-able

Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols


SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

SuperPoint: Self-Supervised Interest Point Detection and Description

Navigating to Objects Specified by Images

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots

Towards View-invariant and Accurate Loop Detection Based on Scene Graph


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

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

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks


WAVEWATCH III

Towards a coupled model to investigate wave–sea ice interactions in the Arctic marginal ice zone

Wind–Wave Modeling: Where We Are, Where to Go

Journal of Marine Science and Engineering

Development of a 2-way coupled ocean-wave model: assessment on a
global NEMO(v3.6)-WW3(v6.02) coupled configuration

Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5

Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea

Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07

Projected Characteristic Changes of a Typical Tropical Cyclone under Climate Change in the South West Indian Ocean

Investigating the Impact of High-Resolution Land–Sea Masks on Hurricane Forecasts in HWRF

An Application of NEMOVAR for Regional Wave Model Data Assimilation

Cyclonic Wave Simulations Based on WAVEWATCH-III Using a Sea Surface Drag Coefficient Derived from CFOSAT SWIM Data


A toolkit for reproducible reinforcement learning research.

Benchmarking Deep Reinforcement Learning for Continuous Control

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

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

AllenAct: A Framework for Embodied AI Research

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Deep Reinforcement Learning with Robust and Smooth Policy

Is the Policy Gradient a Gradient?

Heuristic-Guided Reinforcement Learning

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning


OWASP CRS (Official Repository)

Peningkatan Keamanan Aplikasi Web Menggunakan Web Application Firewall (WAF) Pada Sistem Informasi Manajemen Kampus Terintegrasi

Jurnal ICT Information Communication & Technology


Static Value-Flow Analysis Framework for Source Code

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

PhASAR: An Inter-procedural Static Analysis Framework for C/C++

Tools and Algorithms for Construction and Analysis of Systems

Compacting points-to sets through object clustering

RLTG: Multi-targets directed greybox fuzzing

Efficient Path-Sensitive Data-Dependence Analysis

A Survey of Source Code Search: A 3-Dimensional Perspective


Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

Qwen Technical Report

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Chinese Open Instruction Generalist: A Preliminary Release

LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models

Large Language Models Understand Layout

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning


Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

An ELU Network with Total Variation for Image Denoising

A Plug-and-Play Priors Framework for Hyperspectral Unmixing

On Plug-and-Play Regularization Using Linear Denoisers

Non-Local SVD Denoising of MRI Based on Sparse Representations


Qualcomm Atheros Open Powerline Toolkit.

State of the Art in Power Line Communications: From the Applications to the Medium

IEEE Journal on Selected Areas in Communications

How CSMA/CA With Deferral Affects Performance and Dynamics in Power-Line Communications

Measurement-based Condition Monitoring of Railway Signaling Cables


Trinity RNA-Seq de novo transcriptome assembly

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

Metagenomic and metatranscriptomic analysis of human prostate microbiota from patients with prostate cancer

Comprehensive Transcriptome Analyses Reveal Differential Gene Expression Profiles of Camellia sinensis Axillary Buds at Para-, Endo-, Ecodormancy, and Bud Flush Stages

Gonadal transcriptomic analysis and differentially expressed genes in the testis and ovary of the Pacific white shrimp (Litopenaeus vannamei)

A moth odorant receptor highly expressed in the ovipositor is involved in detecting host-plant volatiles

Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Single-cell RNA-seq analysis reveals penaeid shrimp hemocyte subpopulations and cell differentiation process

Survey of Early-Diverging Lineages of Fungi Reveals Abundant and Diverse Mycoviruses

Transcriptome profiling of lentil (Lens culinaris) through the first 24 hours of Ascochyta lentis infection reveals key defence response genes


3D ResNets for Action Recognition (CVPR 2018)

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

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

On the effectiveness of task granularity for transfer learning

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

STAIR Actions: A Video Dataset of Everyday Home Actions

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

Video Content Analysis for Compliance Audit in Finance and Security Industry

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Multimodal Co-Training for Selecting Good Examples from Webly Labeled Video

Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos


Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Instance Normalization: The Missing Ingredient for Fast Stylization

Texture Synthesis Using Convolutional Neural Networks

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis


Complete Matlab pipeline for large scale calcium imaging data analysis

Suite2p: beyond 10,000 neurons with standard two-photon microscopy

Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion

Engineered AAVs for non-invasive gene delivery to rodent and non-human primate nervous systems

Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex

The essential role of recurrent processing for figure-ground perception in mice

HNCcorr: A Novel Combinatorial Approach for Cell Identification in Calcium-Imaging Movies

Fast wide-volume functional imaging of engineered in vitro brain tissues

Multiplane Calcium Imaging Reveals Disrupted Development of Network Topology in Zebrafish pcdh19 Mutants

Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation


bedtools - the swiss army knife for genome arithmetic

Intervene: a tool for intersection and visualization of multiple gene or genomic region sets

Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica

PRMD: an integrated database for plant RNA modifications

Curated variation benchmarks for challenging medically relevant autosomal genes

Whole genome characterization of sequence diversity of 15,220 Icelanders

The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

MYC Recruits SPT5 to RNA Polymerase II to Promote Processive Transcription Elongation

G-quadruplexes offer a conserved structural motif for NONO recruitment to NEAT1 architectural lncRNA

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


Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

ChoCo: a Chord Corpus and a Data Transformation Workflow for Musical Harmony Knowledge Graphs

Data on the design and operation of drones by both individuals and teams

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

selp: A Single-Shot Epistemic Logic Program Solver

The Probabilistic Termination Tool Amber

Generation of Pseudo Code from the Python Source Code using Rule-Based Machine Translation

DerivBase.Ru: a Derivational Morphology Resource for Russian

T5QL: Taming language models for SQL generation

optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs

Emora STDM: A Versatile Framework for Innovative Dialogue System Development


HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

Long read nanopore sequencing for detection of HLA and CYP2D6 variants and haplotypes

A voltage and current measurement dataset for plug load appliance identification in households

Beyond subhalos: Probing the collective effect of the Universe’s small-scale structure with gravitational lensing

BrainLiner: A Neuroinformatics Platform for Sharing Time-Aligned Brain-Behavior Data

Deep learning for Directional Dark Matter search

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

The Incubascope : a simple, compact and large field of view microscope for long-term imaging inside an incubator


Porting caffe to android platform

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Yum-me: A Personalized Nutrient-based Meal Recommender System

CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge

Cloud-based or On-device: An Empirical Study of Mobile Deep Inference

Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras

Pelee-Text++: A Tiny Neural Network for Scene Text Detection

Efficient Incremental Learning for Mobile Object Detection

Yum-me: Personalized Healthy Meal Recommender System.


This package contains deep learning models and related scripts for RoseTTAFold

Accurate prediction of protein structures and interactions using a three-track neural network

Improved prediction of protein-protein interactions using AlphaFold2

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Current progress, challenges, and future perspectives of language models for protein representation and protein design

The transformative power of transformers in protein structure prediction

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

Genome mining reveals abiotic stress resistance genes in plant genomes acquired from microbes via HGT

Systematic Analysis of the Grafting-Related Glucanase-Encoding GH9 Family Genes in Pepper, Tomato and Tobacco

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction

Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation


Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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

Parameter-Efficient Transfer Learning for NLP

WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context

LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT’s pretrain-finetune discrepancy for Arabic offensive language identification

International Workshop on Semantic Evaluation

NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

False News Detection on Social Media

Towards a corpus for credibility assessment in software practitioner blog articles

What can we learn from a Chinese social media used by glaucoma patients?

Analyzing Code Embeddings for Coding Clinical Narratives

Meeting of the Association for Computational Linguistics


Spoon is a metaprogramming library to analyze and transform Java source code. :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.

A comprehensive study of bloated dependencies in the Maven ecosystem

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

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

International Conference on Software Engineering

A comprehensive study of pseudo-tested methods

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

BreakBot: Analyzing the Impact of Breaking Changes to Assist Library Evolution

AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code

Interacto: A Modern User Interaction Processing Model

IEEE Transactions on Software Engineering

Predicting Flaky Tests Categories using Few-Shot Learning


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design

State of the Art and Potentialities of Graph-level Learning


3.8% and 18.3% on CIFAR-10 and CIFAR-100

Wide Residual Networks

Learn To Pay Attention

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

Decorrelated Batch Normalization

Shakedrop Regularization for Deep Residual Learning

Regularizing CNNs with Locally Constrained Decorrelations

Iterative Normalization: Beyond Standardization towards Efficient Whitening

Approximating the Gradient of Cross-Entropy Loss Function

Hybrid Discriminative-Generative Training via Contrastive Learning


Training and Detecting Objects with YOLO3

Underwater Fish Detection Using Deep Learning for Water Power Applications

FOD-A: A Dataset for Foreign Object Debris in Airports

Latent Space Inpainting for Loss-Resilient Collaborative Object Detection

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards

Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

International journal of environmental research and public health

Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things

Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning


The Fastest DNN Running Framework on Web Browser

Moving Deep Learning into Web Browser: How Far Can We Go?

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

WebDNN: Fastest DNN Execution Framework on Web Browser

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

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


bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

Behaviour Suite for Reinforcement Learning

Reinforcement Learning, Bit by Bit

Making Sense of Reinforcement Learning and Probabilistic Inference

Deep Reinforcement Learning

Temporal Difference Uncertainties as a Signal for Exploration

Adaptive Pairwise Weights for Temporal Credit Assignment

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent

MDP Playground: A Design and Debug Testbed for Reinforcement Learning

E-MCTS: Deep Exploration in Model-Based Reinforcement Learning by Planning with Epistemic Uncertainty

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning

Journal of Artificial Intelligence Research


Lightweight utilities for working with spectroscopic data

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

A survey for variable young stars with small telescopes: VII -- Spot Properties on YSOs in IC5070

Multiple giant eruptions and X-ray emission in the recoiling AGN/LBV candidate SDSS1133

A survey for variable young stars with small telescopes: V - Analysis of TXOri, V505Ori, and V510Ori, the HST ULLYSES targets in the σOri cluster


MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

HydroLang: An open-source web-based programming framework for hydrological sciences

Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign

An Idealized Physical Model for the Severe Convective Storm Environmental Sounding

Examining Conditions Supporting the Development of Anomalous Charge Structures in Supercell Thunderstorms in the Southeastern United States

Journal of Geophysical Research: Atmospheres

Pyroconvection Classification Based on Atmospheric Vertical Profiling Correlation With Extreme Fire Spread Observations

Zenodo (CERN European Organization for Nuclear Research)

C-Band Dual-Doppler Retrievals in Complex Terrain: Improving the Knowledge of Severe Storm Dynamics in Catalonia

The Relation of Environmental Conditions With Charge Structure in Central Argentina Thunderstorms

MADIA - Meteorological variables for agriculture: A dataset for the Italian area

A vital option for food security and greenhouse gases mitigation: planting elite super rice in double- to single-rice cropping fields in China

Climatology of Lake-Effect Snow Days Along the Southern Shore of Lake Michigan: What Is the Sensitivity to Environmental Factors and Snowband Morphology?


Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Weakly supervised 3D Reconstruction with Adversarial Constraint

POCO: Point Convolution for Surface Reconstruction


A global, black box optimization engine for real world metric optimization.

A Tutorial on Bayesian Optimization

AutoML: A survey of the state-of-the-art

Evolutionary Neural AutoML for Deep Learning

Implementing AutoML in Educational Data Mining for Prediction Tasks

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

A Stratified Analysis of Bayesian Optimization Methods

HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE Transactions on Automation Science and Engineering

Rocketsled: a software library for optimizing high-throughput computational searches

Sample Efficient Policy Search for Optimal Stopping Domains


OpenFlow 1.3 switch.

A Survey on Software Defined Networking: Architecture for Next Generation Network

Journal of Network and Systems Management

Timed Consistent Network Updates in Software-Defined Networks

HoneyDOC: An Efficient Honeypot Architecture Enabling All-Round Design

IEEE Journal on Selected Areas in Communications

Time4: Time for SDN

IEEE Transactions on Network and Service Management

The Road to BOFUSS: The Basic OpenFlow User-space Software Switch

The Case for Data Plane Timestamping in SDN

Conference on Computer Communications Workshops

EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge

Towards a Stateful Forwarding Abstraction to Implement Scalable Network Functions in Software and Hardware

A SDN-based Flexible System for On-the-Fly Monitoring and Treatment of Security Events


Collection of reinforcement learning algorithms

Conservative Q-Learning for Offline Reinforcement Learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Reinforcement Learning with Augmented Data

Visual Reinforcement Learning with Imagined Goals

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble


A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

Understanding Reduced-Voltage Operation in Modern DRAM Devices

GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures

FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching

Understanding and Improving the Latency of DRAM-Based Memory Systems

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions

QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips

CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off

Enabling Practical Processing in and near Memory for Data-Intensive Computing


Search and download Copernicus Sentinel satellite images

Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification

ISPRS International Journal of Geo-Information

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Seeing Through Clouds in Satellite Images

Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity

POLARIMETRIC SAR DATA FROM SENTINEL-1A APPLIED TO EARLY CROP CLASSIFICATION

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

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region


Python Performance Benchmark Suite

Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions

Optimizing and Evaluating Transient Gradual Typing

SlipCover: Near Zero-Overhead Code Coverage for Python

Perun: Performance Version System


Bear is a tool that generates a compilation database for clang tooling.

Validating static warnings via testing code fragments

International Symposium on Software Testing and Analysis

Transforming C++11 Code to C++03 to Support Legacy Compilation Environments

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures

FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering

CERNLIB status


Named Entity Recognition Tool

Recurrent Neural Network Grammars

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Empower Sequence Labeling with Task-Aware Neural Language Model

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

Entity Recognition at First Sight: Improving NER with Eye Movement Information

Advancing NLP with Cognitive Language Processing Signals

Location reference recognition from texts: A survey and comparison

Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF

International Conference on Computational Linguistics


A collection of research on knowledge graphs

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

A Review of Relational Machine Learning for Knowledge Graphs

Knowledge Graphs

Knowledge Representation Learning: A Quantitative Review


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

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Deep Reinforcement Learning For Sequence to Sequence Models

Natural Language Processing Advancements By Deep Learning: A Survey

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

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

Semantic Parsing with Syntax- and Table-Aware SQL Generation

Hybrid Ranking Network for Text-to-SQL

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

Question Generation from SQL Queries Improves Neural Semantic Parsing


CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Weakly-Supervised Hierarchical Text Classification

Question Answering as Global Reasoning over Semantic Abstractions

Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach

Automatic Generation of System Test Cases from Use Case Specifications: an NLP-based Approach

Location reference recognition from texts: A survey and comparison

CogCompNLP: Your Swiss Army Knife for NLP

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

HardEval: Focusing on Challenging Tokens to Assess Robustness of NER

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

Reasoning-Driven Question-Answering for Natural Language Understanding

NatCat: Weakly Supervised Text Classification with Naturally Annotated Resources

Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base

Workshop on Graph-based Methods for Natural Language Processing


A repository of data on coronavirus cases and deaths in the U.S.

Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic

Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic

Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty

Forecasting: theory and practice

COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology

Collectivism predicts mask use during COVID-19

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

Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events

Poverty and Covid-19: Rates of Incidence and Deaths in the United States During the First 10 Weeks of the Pandemic

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks

Population density and basic reproductive number of COVID-19 across United States counties

medRxiv : the preprint server for health sciences


Robust Speech Recognition via Large-Scale Weak Supervision

Gemini 1.5: Unlocking multimodal understanding across millions of tokens
  of context

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Gemini: A Family of Highly Capable Multimodal Models

Seamless: Multilingual Expressive and Streaming Speech Translation

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

CodePlan: Repository-level Coding using LLMs and Planning

Transformers in Speech Processing: A Survey

The Singing Voice Conversion Challenge 2023

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models


Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Designing an Encoder for StyleGAN Image Manipulation

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Diffusion Models for Adversarial Purification

3D-FM GAN: Towards 3D-Controllable Face Manipulation

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Unsupervised learning reveals interpretable latent representations for translucency perception

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space


Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

A Guide on Deep Learning for Complex Trait Genomic Prediction

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Predicting the impact of non-coding variants on DNA methylation

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations

Predicting and characterizing a cancer dependency map of tumors with deep learning

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

Computational and structural biotechnology journal

Gait recognition via deep learning of the center-of-pressure trajectory


Netflow processing tools

A Survey of Network-based Intrusion Detection Data Sets

Flow length and size distributions in campus Internet traffic

Cyber Attack Detection thanks to Machine Learning Algorithms

Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets

Modeling and Prediction of Daily Traffic Patterns—WASK and SIX Case Study

Malicious Overtones: Hunting Data Theft in the Frequency Domain with One-class Learning

An Effective Feature Extraction Mechanism for Intrusion Detection System

IEICE Transactions on Information and Systems


Sequential model-based optimization with a  `scipy.optimize` interface

Accelerated Hierarchical Density Based Clustering

The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex

ASNets: Deep Learning for Generalised Planning

Journal of Artificial Intelligence Research

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Composite Adversarial Attacks

ENTMOOT: A framework for optimization over ensemble tree models

DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations

Event generator tuning using Bayesian optimization

Rocketsled: a software library for optimizing high-throughput computational searches

Robust Walking Based on MPC With Viability Guarantees


Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

TIMERS: Document-level Temporal Relation Extraction

Meeting of the Association for Computational Linguistics

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022

A Hybrid Semantic Parsing Approach for Tabular Data Analysis

Detecting context-based in-claim numerals in Financial Earnings Conference Calls

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions

Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation

Proceedings of the AAAI Conference on Artificial Intelligence

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions


TFHE: Fast Fully Homomorphic Encryption Library over the Torus

A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Fast Homomorphic Evaluation of Deep Discretized Neural Networks

Zenodo (CERN European Organization for Nuclear Research)

Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data Hiding in Encrypted Domain

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption

Data Privacy in Trigger-Action Systems

SoK: Fully Homomorphic Encryption Accelerators

An Approach for Securing Cloud-Based Wide Area Monitoring of Smart Grid Systems


A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

Real-time Action Recognition with Enhanced Motion Vector CNNs

Towards Good Practices for Very Deep Two-Stream ConvNets

Actionness Estimation Using Hybrid Fully Convolutional Networks

Places205-VGGNet Models for Scene Recognition

Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs

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

End-to-end Video-level Representation Learning for Action Recognition

Video Activity Recognition: State-of-the-Art

Spatio-temporal Person Retrieval via Natural Language Queries


[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

Understanding LLMs: A Comprehensive Overview from Training to Inference

SnapKV: LLM Knows What You are Looking for Before Generation


LSTM and QRNN Language Model Toolkit for PyTorch

Regularizing and Optimizing LSTM Language Models

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Insights on representational similarity in neural networks with canonical correlation

Why gradient clipping accelerates training: A theoretical justification for adaptivity

Identifying and Reducing Gender Bias in Word-Level Language Models

Improving Neural Language Models with a Continuous Cache

Representation Degeneration Problem in Training Natural Language Generation Models

An Analysis of Neural Language Modeling at Multiple Scales

A Constructive Prediction of the Generalization Error Across Scales

FRAGE: Frequency-Agnostic Word Representation


Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

DifFace: Blind Face Restoration with Diffused Error Contraction

Pyramidal Denoising Diffusion Probabilistic Models

Conffusion: Confidence Intervals for Diffusion Models


VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

AMGCL: An Efficient, Flexible, and Extensible Algebraic Multigrid Implementation

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

QSL Squasher: A Fast Quasi-separatrix Layer Map Calculator

A Performance Comparison of Sort and Scan Libraries for GPUs

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

ACM Transactions on Mathematical Software

Application the particle method in problems of mechanics deformable media

IOP Conference Series: Materials Science and Engineering

Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl

OpenCL Actors – Adding Data Parallelism to Actor-Based Programming with CAF

PROGRAMMING WITH ACTORS: STATE-OF-THE-ART AND RESEARCH PERSPECTIVES

cf4ocl: A C framework for OpenCL

Modeling of deformation of ground media on the basis of the particle method in a two-dimensional formulation

WINTER SCHOOL ON CONTINUOUS MEDIA MECHANICS


A Python Perceptual Image Hashing Module

On the Origins of Memes by Means of Fringe Web Communities

Understanding Security Issues in the NFT Ecosystem

Image-Based Wheat Fungi Diseases Identification by Deep Learning

Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

Auditing Membership Leakages of Multi-Exit Networks

CIME: Context-aware geolocation of emergency-related posts

Understanding the Use of Fauxtography on Social Media

Procedural content generation using neuroevolution and novelty search for diverse video game levels

Proceedings of the Genetic and Evolutionary Computation Conference

DANLI: Deliberative Agent for Following Natural Language Instructions


GPU-based Onion Hash generator

Classifying Illegal Activities on Tor Network Based on Web Textual Contents

Conference of the European Chapter of the Association for Computational Linguistics

Identifying and characterizing Sybils in the Tor network

How Do Tor Users Interact With Onion Services?

Anomalous keys in Tor relays


Bandit is a tool designed to find common security issues in Python code.

A Large-Scale Security-Oriented Static Analysis of Python Packages in PyPI

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks

A Systematic Literature Review on Large Language Models for Automated
  Program Repair

Can LLMs Patch Security Issues?

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Malicious Source Code Detection Using Transformer

DeVAIC: A Tool for Security Assessment of AI-generated Code

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection


The Classical Language Toolkit

"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages

Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse

Empirical Methods in Natural Language Processing

Auceps syllabarum: A Digital Analysis of Latin Prose Rhythm

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Evaluating Word Embeddings on Low-Resource Languages

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

Data-driven Choices in Neural Part-of-Speech Tagging for Latin

Lexical and Semantic Features for Cross-lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases

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

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures
  and Languages

Annotating Speech, Attitude and Perception Reports


Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

Holographic Embeddings of Knowledge Graphs

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Knowledge Graph Completion via Complex Tensor Factorization

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Probability Calibration for Knowledge Graph Embedding Models


Python library and CLI tool to interface with Google Translate's text-to-speech API

Variational Reasoning for Question Answering with Knowledge Graph

Representations of language in a model of visually grounded speech signal

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

Encoding of phonology in a recurrent neural model of grounded speech

Conference on Computational Natural Language Learning

Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

Using Spoken Word Posterior Features in Neural Machine Translation

International Workshop on Spoken Language Translation

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems

A Framework for Automatic Generation of Spoken Question-Answering Data

Findings of the Association for Computational Linguistics: EMNLP 2022

Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing

An RFP dataset for Real, Fake, and Partially fake audio detection


Given a scholarly PDF, extract figures, tables, captions, and section titles.

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers


A large-scale 7B pretraining language model developed by BaiChuan-Inc.

Measuring Massive Multitask Language Understanding

RoFormer: Enhanced Transformer with Rotary Position Embedding

Qwen Technical Report

GPT Can Solve Mathematical Problems Without a Calculator

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Radiology-Llama2: Best-in-Class Large Language Model for Radiology

CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Evaluating Large Language Models for Radiology Natural Language Processing

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

Towards the Law of Capacity Gap in Distilling Language Models


free finite-difference time-domain (FDTD) software for electromagnetic simulations

High-performance hybrid time/frequency-domain topology optimization for large-scale photonics inverse design

Characterizing the radio quiet region behind the lunar farside for low radio frequency experiments

Open-source software for electrical engineering applications requiring consideration of electrodynamics: elecode

A low cost and large-scale synthesis of 3D photonic crystal with SP2 lattice symmetry

Modeling lasers and saturable absorbers via multilevel atomic media in the Meep FDTD software: Theory and implementation.


Estimation & Control Library for Guidance, Navigation and Control Applications

Features of Invariant Extended Kalman Filter Applied to Unmanned Aerial Vehicle Navigation

Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-denied operation of Micro-UAV


A neural network model for Chinese named entity recognition

Recurrent Neural Network Grammars

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment

The Named Entity Recognition of Chinese Cybersecurity Using an Active Learning Strategy

Wireless Communications and Mobile Computing

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity


Identifying Y-chromosome haplogroups in arbitrarily large samples of sequenced or genotyped men

The population genomics of archaeological transition in west Iberia: Investigation of ancient substructure using imputation and haplotype-based methods

Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe

Archaeogenomic distinctiveness of the Isthmo-Colombian area

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

Network of large pedigrees reveals social practices of Avar communities

Y-Chromosome Genetic Analysis of Modern Polish Population

First Glimpse into the Genomic Characterization of People from the Imperial Roman Community of Casal Bertone (Rome, First–Third Centuries AD)

Genetic admixture and language shift in the medieval Volga-Oka interfluve

Fine-Scale Genetic Structure in the United Arab Emirates Reflects Endogamous and Consanguineous Culture, Population History, and Geography


A library of JavaScript components to represent biological data

BioJS: an open source standard for biological visualisation – its status in 2014

HeatMapViewer: interactive display of 2D data in biology

KEGGViewer, a BioJS component to visualize KEGG Pathways

FeatureViewer, a BioJS component for visualization of position-based annotations in protein sequences

PPI layouts: BioJS components for the display of Protein-Protein Interactions

PsicquicGraph, a BioJS component to visualize molecular interactions from PSICQUIC servers

BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs

wigExplorer, a BioJS component to visualise wig data

biojs: BioJS2 (alpha)

BioJS InterMineTable Component: A BioJS component for displaying data from InterMine compatible webservice endpoints


Tensorflow implementation of contextualized word representations from bi-directional language models

Deep contextualized word representations

Dissecting Contextual Word Embeddings: Architecture and Representation

Linguistically-Informed Self-Attention for Semantic Role Labeling

nocaps: novel object captioning at scale

International Conference on Computer Vision

A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages

Meeting of the Association for Computational Linguistics

Evaluation of sentence embeddings in downstream and linguistic probing tasks

Probing Biomedical Embeddings from Language Models

UER: An Open-Source Toolkit for Pre-training Models

Polyglot Contextual Representations Improve Crosslingual Transfer

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings


a Realistic and Rich 3D Environment

Semantic Scene Completion from a Single Depth Image

Embodied Question Answering

TarMAC: Targeted Multi-Agent Communication

Synthetic Data for Deep Learning

Building Generalizable Agents with a Realistic and Rich 3D Environment

Neural Modular Control for Embodied Question Answering

Vision-Language Navigation: A Survey and Taxonomy


NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone

YOLOX: Exceeding YOLO Series in 2021

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey

A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images

SHINE: Deep Learning-Based Accessible Parking Management System


Advanced Normalization Tools (ANTs)

The Insight ToolKit image registration framework

A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity

Whole-central nervous system functional imaging in larval Drosophila

SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images

A high-resolution in vivo magnetic resonance imaging atlas of the human hypothalamic region

Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network

T1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm

A probabilistic atlas of the basal ganglia using 7 T MRI

The pediatric template of brain perfusion

Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis


Official repository of the OpenJPEG project

Smart Greybox Fuzzing

Lossy Compression of Multispectral Satellite Images with Application to Crop Thematic Mapping: A HEVC Comparative Study

Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model

Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data

International Symposium on Circuits and Systems

CRA5: Extreme Compression of ERA5 for Portable Global Climate and
  Weather Research via an Efficient Variational Transformer

Lightweight Joint Compression-Encryption-Authentication-Integrity Framework Based on Arithmetic Coding

BlinQS: Blind quality scalable image compression algorithm without using PCRD optimization


Dockerfile linter, validate inline bash, written in Haskell

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

International Conference on Software Engineering

Characterizing the Occurrence of Dockerfile Smells in Open-Source Software: An Empirical Study

Shipwright: A Human-in-the-Loop System for Dockerfile Repair

Revisiting Dockerfiles in Open Source Software Over Time

A Dataset of Dockerfiles

Fixing Dockerfile Smells: An Empirical Study

DRIVE: Dockerfile Rule Mining and Violation Detection

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

Burner: Recipe Automatic Generation for HPC Container Based on Domain Knowledge Graph

Empirical Study of the Docker Smells Impact on the Image Size


Automated Machine Learning on Kubernetes

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

Katib: A Distributed General AutoML Platform on Kubernetes

USENIX Conference on Operational Machine Learning

A Scalable and Cloud-Native Hyperparameter Tuning System

SQLFlow: A Bridge between SQL and Machine Learning

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions

CLAIMED, a visual and scalable component library for Trusted AI


Automated upstream mirror for libbpf stand-alone build.

BPFContain: Fixing the Soft Underbelly of Container Security

Run-Time Adaptive In-Kernel BPF/XDP Solution for 5G UPF

MiddleNet: A Unified, High-Performance NFV and Middlebox Framework With eBPF and DPDK

EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software


BioGPT: generative pre-trained transformer for biomedical text generation and mining

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

The Social Impact of Generative AI: An Analysis on ChatGPT

Proceedings of the 2023 ACM Conference on Information Technology for Social Good

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Language model and its interpretability in biomedicine: A scoping review

Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models


A repository of bioinformatic scripts, SOPs, and tutorials for analyzing microbiome data.

Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research

A Fungal World: Could the Gut Mycobiome Be Involved in Neurological Disease?

Differential Colonization and Succession of Microbial Communities in Rock and Soil Substrates on a Maritime Antarctic Glacier Forefield

Bacterial Dynamics of Wheat Silage

Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden

Atherosclerosis amelioration by allicin in raw garlic through gut microbiota and trimethylamine-N-oxide modulation

Bacterial Taxa and Functions Are Predictive of Sustained Remission Following Exclusive Enteral Nutrition in Pediatric Crohn's Disease

Evidence of high N2 fixation rates in the temperate northeast Atlantic

Effect of dietary oil from Camelina sativa on the growth performance, fillet fatty acid profile and gut microbiome of gilthead Sea bream (Sparus aurata)

Characterisation of gut microbiota of obesity and type 2 diabetes in a rodent model

Bioscience of microbiota, food and health


Ethereum peer-to-peer networking specifications

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

Decentralization in Bitcoin and Ethereum Networks

Ethna: Analyzing the Underlying Peer-to-Peer Network of Ethereum Blockchain

When Blockchain Meets SGX: An Overview, Challenges, and Open Issues

Lightweight Collaborative Anomaly Detection for the IoT using Blockchain

Eclipsing Ethereum Peers with False Friends

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Security Review of Ethereum Beacon Clients

Content Censorship in the InterPlanetary File System

Consensus on Demand


An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

SkiMap: An Efficient Mapping Framework for Robot Navigation

Overview obstacle maps for obstacle‐aware navigation of autonomous drones

Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model

Occupancy Grid Mapping Without Ray-Casting for High-Resolution LiDAR Sensors

Efficient volumetric mapping of multi-scale environments using wavelet-based compression


RStan, the R interface to Stan

brms: An R Package for Bayesian Multilevel Models Using Stan

Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package

Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

Compositional Proteomics: Effects of Spatial Constraints on Protein Quantification Utilizing Isobaric Tags

Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges

Bayesian evaluation of behavior change interventions: a brief introduction and a practical example

Health psychology and behavioral medicine

Bayesian Methods for Exoplanet Science

Joint Modeling of Individual Trajectories, Within-Individual Variability, and a Later Outcome: Systolic Blood Pressure Through Childhood and Left Ventricular Mass in Early Adulthood

eggCounts: a Bayesian hierarchical toolkit to model faecal egg count reductions

varstan: An R package for Bayesian analysis of structured time series models with Stan


LAnguage Model Analysis

Language Models as Knowledge Bases?

A Primer in BERTology: What we know about how BERT works

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

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

True Few-Shot Learning with Language Models

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

How Context Affects Language Models' Factual Predictions

Knowledge-Aware Language Model Pretraining

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning


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

Diverse values of nature for sustainability

Multimodal deep networks for text and image-based document classification

NeuSpell: A Neural Spelling Correction Toolkit

Characterizing the dynamics of learning in repeated reference games

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

Graph-based Event Extraction from Twitter

Recent Advances in Natural Language Processing

A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams

Predicting the Politics of an Image Using Webly Supervised Data

A context sensitive real-time Spell Checker with language adaptability

Spelling Correction with Denoising Transformer


A Library for Advanced Deep Time Series Models.

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

One Fits All:Power General Time Series Analysis by Pretrained LM

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Meta-Transformer: A Unified Framework for Multimodal Learning

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

Multi-Patch Prediction: Adapting LLMs for Time Series Representation
  Learning

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

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Deep Time Series Models: A Comprehensive Survey and Benchmark


The official repository for the gem5 computer-system architecture simulator.

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode

Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective

VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services


Official implementation of Character Region Awareness for Text Detection (CRAFT)

Text Detection and Recognition in the Wild: A Review

iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations

Scene Text Detection in Natural Images: A Review

Pelee-Text++: A Tiny Neural Network for Scene Text Detection

Authorship Recognition with Short-Text using Graph-based Techniques

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion


An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Fast Inference from Transformers via Speculative Decoding

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Mitigating the Alignment Tax of RLHF

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language
  Model Fine-Tuning


ngtcp2 project is an effort to implement IETF QUIC protocol

Implementation and Analysis of QUIC for MQTT

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC Throughput and Fairness over Dual Connectivity

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications

A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations

Proceedings of the 18th International Conference on Availability, Reliability and Security


Common tests for all Ethereum implementations

A Semantic Framework for the Security Analysis of Ethereum Smart Contracts

eThor: Practical and Provably Sound Static Analysis of Ethereum Smart Contracts

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

Ethereum's Recursive Length Prefix in ACL2

Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny


An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China

From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data

L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

DEPTWEET: A typology for social media texts to detect depression severities

Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter

Correction to: Disinformation in Open Online Media

Multidisciplinary International Symposium on Disinformation in Open Online Media

Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic

Humanities and Social Sciences Communications

An optimized deep learning approach for suicide detection through Arabic tweets