Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Beyond NDCG: Behavioral Testing of Recommender Systems with RecList

EvalRS: a Rounded Evaluation of Recommender Systems

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

Triplet Losses-based Matrix Factorization for Robust Recommendations

Item-based Variational Auto-encoder for Fair Music Recommendation


A toolset for profiling alternative splicing events in RNA-Seq data.

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains

An atlas of alternative splicing profiles and functional associations reveals new regulatory programs and genes that simultaneously express multiple major isoforms

A Comparative Transcriptomic Analysis Reveals Conserved Features of Stem Cell Pluripotency in Planarians and Mammals

Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors

An alternative splicing event amplifies evolutionary differences between vertebrates

Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing

Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

Complex transcriptional regulation and independent evolution of fungal-like traits in a relative of animals

A novel protein domain in an ancestral splicing factor drove the evolution of neural microexons

The alternative splicing factor Nova2 regulates vascular development and lumen formation


Empower Sequence Labeling with Task-Aware Language Model

Training Very Deep Networks

Empower Sequence Labeling with Task-Aware Neural Language Model

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Hybrid semi-Markov CRF for Neural Sequence Labeling

Position-aware self-attention based neural sequence labeling

Handling Rare Entities for Neural Sequence Labeling

Meeting of the Association for Computational Linguistics

Similarity Based Auxiliary Classifier for Named Entity Recognition

Empirical Methods in Natural Language Processing

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis


Simple text to phones converter for multiple languages

Unsupervised Speech Recognition

End-to-End Adversarial Text-to-Speech

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

Towards End-to-end Unsupervised Speech Recognition

Denoising Text to Speech with Frame-Level Noise Modeling

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech
  with Untranscribed Data

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


Fast Gene Set Enrichment Analysis

Fast gene set enrichment analysis

Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection

Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese

Inhibition of Notch signaling rescues cardiovascular development in Kabuki Syndrome

Adenylosuccinate lyase is oncogenic in colorectal cancer by causing mitochondrial dysfunction and independent activation of NRF2 and mTOR-MYC-axis

Favorable immune checkpoint inhibitor outcome of patients with melanoma and NSCLC harboring FAT1 mutations

Helminth-induced reprogramming of the stem cell compartment inhibits type 2 immunity

The Journal of experimental medicine/The journal of experimental medicine

Immunological and clinical immunotherapy implications of NLRP3 mutations in melanoma

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

Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data


A flexible pipeline for complete analysis of bacterial genomes

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

TORMES: an automated pipeline for whole bacterial genome analysis

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

rMAP: the Rapid Microbial Analysis Pipeline for ESKAPE bacterial group whole-genome sequence data

Precise classification of antimicrobial resistance-associated IncP-2 megaplasmids for molecular epidemiological studies on Pseudomonas species

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses


[UNMAINTAINED] Automated machine learning for analytics & production

Benchmark and Survey of Automated Machine Learning Frameworks

Survey on Automated Machine Learning.

Benchmarking Automatic Machine Learning Frameworks

AMLB: an AutoML Benchmark

A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data

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


Praat: Doing Phonetics By Computer

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

A Flexible Question-and-Answer Task for Measuring Speech Understanding

Distinguishable Speaker Anonymization based on Formant and Fundamental
  Frequency Scaling


gentle forced aligner

MuST-C: a Multilingual Speech Translation Corpus

North American Chapter of the Association for Computational Linguistics

Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

Multilingual End-to-End Speech Translation

SimulSpeech: End-to-End Simultaneous Speech to Text Translation

Encoding of phonology in a recurrent neural model of grounded speech

Conference on Computational Natural Language Learning

The IWSLT 2019 Evaluation Campaign

International Workshop on Spoken Language Translation

Multimodal Emotion Recognition with High-level Speech and Text Features

Enhancing Transformer for End-to-end Speech-to-Text Translation

Representation Mixing for TTS Synthesis

MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations

International Conference on Computational Linguistics


Run_dbcan V4, using genomes/metagenomes/proteomes of any assembled organisms (prokaryotes, fungi, plants, animals, viruses) to search for CAZymes.

Comparative Genomics of the Genus Pseudomonas Reveals Host- and Environment-Specific Evolution

Zenodo (CERN European Organization for Nuclear Research)

Infant gut strain persistence is associated with maternal origin, phylogeny, and traits including surface adhesion and iron acquisition

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

bioRxiv : the preprint server for biology

Genomic characterization of a diazotrophic microbiota associated with maize aerial root mucilage

Metatranscriptomic analysis of the gut microbiome of black soldier fly larvae reared on lignocellulose-rich fiber diets unveils key lignocellulolytic enzymes

Complete Genome Sequence of Weissella cibaria NH9449 and Comprehensive Comparative-Genomic Analysis: Genomic Diversity and Versatility Trait Revealed

Identification and Genomic Characterization of Pathogenic Bacillus altitudinis from Common Pear Trees in Morocco


MetaXcan software and manuscript

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

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

Integrating predicted transcriptome from multiple tissues improves association detection

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility

Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition

Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Consortium-based genome-wide meta-analysis for childhood dental caries traits

Human molecular genetics online/Human molecular genetics

Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics


BLOCKBENCH: A Framework for Analyzing Private Blockchains. Blockbench contains workloads for measuring the data processing performance, and workloads for understanding the performance of different layers of Blockchain systems.


PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

TACTiS: Transformer-Attentional Copulas for Time Series

Probabilistic Time Series Forecasting with Implicit Quantile Networks

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process


Aspect Based Sentiment Analysis, PyTorch Implementations.  基于方面的情感分析，使用PyTorch实现。

Attention-based LSTM for Aspect-level Sentiment Classification

Interactive Attention Networks for Aspect-Level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification

Recurrent Attention Network on Memory for Aspect Sentiment Analysis

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce


Play with neural networks!

Direct-Manipulation Visualization of Deep Networks

Designing AI Learning Experiences for K-12: Emerging Works, Future
  Opportunities and a Design Framework

Behavioral Use Licensing for Responsible AI


Hyperparameter optimization in Julia.

A Tutorial on Bayesian Optimization

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

Multiple Shooting for Training Neural Differential Equations on Time Series

Learning Probability Distributions in Macroeconomics and Finance


IA's public Wayback Machine (moved from SourceForge)

Difficulties of Timestamping Archived Web Pages

Impact of URI Canonicalization on Memento Count

DaNewsroom: A Large-scale Danish Summarisation Dataset

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

Replaying Archived Twitter: When your bird is broken, will it bring you down?

ArchiveWeb: collaboratively extending and exploring web archive collections—How would you like to work with your collections?

International journal on digital libraries

The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES, TPDL 2016

Discovering the Traces of Disinformation on Instagram in the Internet
  Archive

Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives

Extracting Information from Twitter Screenshots


Submanifold sparse convolutional networks

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Fractional Max-Pooling

Die Wirtschaft im Mittelalter

Sparse 3D convolutional neural networks

Multi-view PointNet for 3D Scene Understanding

MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation

Point proposal network for reconstructing 3D particle endpoints with subpixel precision in liquid argon time projection chambers

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

Point Transformer V3: Simpler, Faster, Stronger


TweetScraper is a simple crawler/spider for Twitter Search without using API

Using Social Media to Detect Fake News Information Related to Product Marketing: The FakeAds Corpus

International Conference on Data Technologies and Applications

Hashtags as signals of political identity: #BlackLivesMatter and #AllLivesMatter

Concerned or Apathetic? Using Social Media Platform (Twitter) to Gauge the Public Awareness about Wildlife Conservation: A Case Study of the Illegal Rhino Trade

International journal of environmental research and public health

How effective is incongruity? Implications for code-mixed sarcasm detection

Evaluation of IBM Watson Natural Language Processing Service to predict influenza-like illness outbreaks from Twitter data

Periodicals of engineering and natural sciences

Tuning Model Analisis Sentimen Tweeter Sepakbola Pada Dataset Kecil dan Seimbang


An MXNet implementation of Mask R-CNN

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes

Part-level Car Parsing and Reconstruction from Single Street View


Pure Numpy Implementation of the Coherent Point Drift Algorithm

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Decoding locomotion from population neural activity in moving C. elegans

3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images

Parallel visual circuitry in a basal chordate

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning

Direct Fitting of Gaussian Mixture Models

Enumerating Calabi-Yau Manifolds: Placing bounds on the number of
  diffeomorphism classes in the Kreuzer-Skarke list

Partial Transport for Point-Cloud Registration


中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报告、自然语言生成、NLU太难了系列、自动对联数据及机器人、用户名黑名单列表、罪名法务名词及分类模型、微信公众号语料、cs224n深度学习自然语言处理课程、中文手写汉字识别、中文自然语言处理 语料/数据集、变量命名神器、分词语料库+代码、任务型对话英文数据集、ASR 语音数据集 + 基于深度学习的中文语音识别系统、笑声检测器、Microsoft多语言数字/单位/如日期时间识别包、中华新华字典数据库及api(包括常用歇后语、成语、词语和汉字)、文档图谱自动生成、SpaCy 中文模型、Common Voice语音识别数据集新版、神经网络关系抽取、基于bert的命名实体识别、关键词(Keyphrase)抽取包pke、基于医疗领域知识图谱的问答系统、基于依存句法与语义角色标注的事件三元组抽取、依存句法分析4万句高质量标注数据、cnocr：用来做中文OCR的Python3包、中文人物关系知识图谱项目、中文nlp竞赛项目及代码汇总、中文字符数据、speech-aligner: 从“人声语音”及其“语言文本”产生音素级别时间对齐标注的工具、AmpliGraph: 知识图谱表示学习(Python)库：知识图谱概念链接预测、Scattertext 文本可视化(python)、语言/知识表示工具：BERT & ERNIE、中文对比英文自然语言处理NLP的区别综述、Synonyms中文近义词工具包、HarvestText领域自适应文本挖掘工具（新词发现-情感分析-实体链接等）、word2word：(Python)方便易用的多语言词-词对集：62种语言/3,564个多语言对、语音识别语料生成工具：从具有音频/字幕的在线视频创建自动语音识别(ASR)语料库、构建医疗实体识别的模型（包含词典和语料标注）、单文档非监督的关键词抽取、Kashgari中使用gpt-2语言模型、开源的金融投资数据提取工具、文本自动摘要库TextTeaser: 仅支持英文、人民日报语料处理工具集、一些关于自然语言的基本模型、基于14W歌曲知识库的问答尝试--功能包括歌词接龙and已知歌词找歌曲以及歌曲歌手歌词三角关系的问答、基于Siamese bilstm模型的相似句子判定模型并提供训练数据集和测试数据集、用Transformer编解码模型实现的根据Hacker News文章标题自动生成评论、用BERT进行序列标记和文本分类的模板代码、LitBank：NLP数据集——支持自然语言处理和计算人文学科任务的100部带标记英文小说语料、百度开源的基准信息抽取系统、虚假新闻数据集、Facebook: LAMA语言模型分析，提供Transformer-XL/BERT/ELMo/GPT预训练语言模型的统一访问接口、CommonsenseQA：面向常识的英文QA挑战、中文知识图谱资料、数据及工具、各大公司内部里大牛分享的技术文档 PDF 或者 PPT、自然语言生成SQL语句（英文）、中文NLP数据增强（EDA）工具、英文NLP数据增强工具 、基于医药知识图谱的智能问答系统、京东商品知识图谱、基于mongodb存储的军事领域知识图谱问答项目、基于远监督的中文关系抽取、语音情感分析、中文ULMFiT-情感分析-文本分类-语料及模型、一个拍照做题程序、世界各国大规模人名库、一个利用有趣中文语料库 qingyun 训练出来的中文聊天机器人、中文聊天机器人seqGAN、省市区镇行政区划数据带拼音标注、教育行业新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增广库、中文全词覆盖BERT及两份阅读理解数据、ConvLab：开源多域端到端对话系统平台、中文自然语言处理数据集、基于最新版本rasa搭建的对话系统、基于TensorFlow和BERT的管道式实体及关系抽取、一个小型的证券知识图谱/知识库、复盘所有NLP比赛的TOP方案、OpenCLaP：多领域开源中文预训练语言模型仓库、UER：基于不同语料+编码器+目标任务的中文预训练模型仓库、中文自然语言处理向量合集、基于金融-司法领域(兼有闲聊性质)的聊天机器人、g2pC：基于上下文的汉语读音自动标记模块、Zincbase 知识图谱构建工具包、诗歌质量评价/细粒度情感诗歌语料库、快速转化「中文数字」和「阿拉伯数字」、百度知道问答语料库、基于知识图谱的问答系统、jieba_fast 加速版的jieba、正则表达式教程、中文阅读理解数据集、基于BERT等最新语言模型的抽取式摘要提取、Python利用深度学习进行文本摘要的综合指南、知识图谱深度学习相关资料整理、维基大规模平行文本语料、StanfordNLP 0.2.0：纯Python版自然语言处理包、NeuralNLP-NeuralClassifier：腾讯开源深度学习文本分类工具、端到端的封闭域对话系统、中文命名实体识别：NeuroNER vs. BertNER、新闻事件线索抽取、2019年百度的三元组抽取比赛：“科学空间队”源码、基于依存句法的开放域文本知识三元组抽取和知识库构建、中文的GPT2训练代码、ML-NLP - 机器学习(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Facebook的跨语言预训练语言模型、用基于BERT的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取、中文自然语言处理相关的开放任务-数据集-当前最佳结果、CoupletAI - 基于CNN+Bi-LSTM+Attention 的自动对对联系统、抽象知识图谱、MiningZhiDaoQACorpus - 580万百度知道问答数据挖掘项目、brat rapid annotation tool: 序列标注工具、大规模中文知识图谱数据：1.4亿实体、数据增强在机器翻译及其他nlp任务中的应用及效果、allennlp阅读理解:支持多种数据和模型、PDF表格数据提取工具 、 Graphbrain：AI开源软件库和科研工具，目的是促进自动意义提取和文本理解以及知识的探索和推断、简历自动筛选系统、基于命名实体识别的简历自动摘要、中文语言理解测评基准，包括代表性的数据集&基准模型&语料库&排行榜、树洞 OCR 文字识别 、从包含表格的扫描图片中识别表格和文字、语声迁移、Python口语自然语言处理工具集(英文)、 similarity：相似度计算工具包，java编写、海量中文预训练ALBERT模型 、Transformers 2.0 、基于大规模音频数据集Audioset的音频增强 、Poplar：网页版自然语言标注工具、图片文字去除，可用于漫画翻译 、186种语言的数字叫法库、Amazon发布基于知识的人-人开放领域对话数据集 、中文文本纠错模块代码、繁简体转换 、 Python实现的多种文本可读性评价指标、类似于人名/地名/组织机构名的命名体识别数据集 、东南大学《知识图谱》研究生课程(资料)、. 英文拼写检查库 、 wwsearch是企业微信后台自研的全文检索引擎、CHAMELEON：深度学习新闻推荐系统元架构 、 8篇论文梳理BERT相关模型进展与反思、DocSearch：免费文档搜索引擎、 LIDA：轻量交互式对话标注工具 、aili - the fastest in-memory index in the East 东半球最快并发索引 、知识图谱车音工作项目、自然语言生成资源大全 、中日韩分词库mecab的Python接口库、中文文本摘要/关键词提取、汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征、中文生成任务基准测评 、中文缩写数据集、中文任务基准测评 - 代表性的数据集-基准(预训练)模型-语料库-baseline-工具包-排行榜、PySS3：面向可解释AI的SS3文本分类器机器可视化工具 、中文NLP数据集列表、COPE - 格律诗编辑程序、doccano：基于网页的开源协同多语言文本标注工具 、PreNLP：自然语言预处理库、简单的简历解析器，用来从简历中提取关键信息、用于中文闲聊的GPT2模型：GPT2-chitchat、基于检索聊天机器人多轮响应选择相关资源列表(Leaderboards、Datasets、Papers)、(Colab)抽象文本摘要实现集锦(教程 、词语拼音数据、高效模糊搜索工具、NLP数据增广资源集、微软对话机器人框架 、 GitHub Typo Corpus：大规模GitHub多语言拼写错误/语法错误数据集、TextCluster：短文本聚类预处理模块 Short text cluster、面向语音识别的中文文本规范化、BLINK：最先进的实体链接库、BertPunc：基于BERT的最先进标点修复模型、Tokenizer：快速、可定制的文本词条化库、中文语言理解测评基准，包括代表性的数据集、基准(预训练)模型、语料库、排行榜、spaCy 医学文本挖掘与信息提取 、 NLP任务示例项目代码集、 python拼写检查库、chatbot-list - 行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍、语音质量评价指标(MOSNet, BSSEval, STOI, PESQ, SRMR)、 用138GB语料训练的法文RoBERTa预训练语言模型 、BERT-NER-Pytorch：三种不同模式的BERT中文NER实验、无道词典 - 有道词典的命令行版本，支持英汉互查和在线查询、2019年NLP亮点回顾、 Chinese medical dialogue data 中文医疗对话数据集 、最好的汉字数字(中文数字)-阿拉伯数字转换工具、 基于百科知识库的中文词语多词义/义项获取与特定句子词语语义消歧、awesome-nlp-sentiment-analysis - 情感分析、情绪原因识别、评价对象和评价词抽取、LineFlow：面向所有深度学习框架的NLP数据高效加载器、中文医学NLP公开资源整理 、MedQuAD：(英文)医学问答数据集、将自然语言数字串解析转换为整数和浮点数、Transfer Learning in Natural Language Processing (NLP) 、面向语音识别的中文/英文发音辞典、Tokenizers：注重性能与多功能性的最先进分词器、CLUENER 细粒度命名实体识别 Fine Grained Named Entity Recognition、 基于BERT的中文命名实体识别、中文谣言数据库、NLP数据集/基准任务大列表、nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow 、Python文本挖掘/NLP实战示例、 Blackstone：面向非结构化法律文本的spaCy pipeline和NLP模型通过同义词替换实现文本“变脸” 、中文 预训练 ELECTREA 模型: 基于对抗学习 pretrain Chinese Model 、albert-chinese-ner - 用预训练语言模型ALBERT做中文NER 、基于GPT2的特定主题文本生成/文本增广、开源预训练语言模型合集、多语言句向量包、编码、标记和实现：一种可控高效的文本生成方法、 英文脏话大列表 、attnvis：GPT2、BERT等transformer语言模型注意力交互可视化、CoVoST：Facebook发布的多语种语音-文本翻译语料库，包括11种语言(法语、德语、荷兰语、俄语、西班牙语、意大利语、土耳其语、波斯语、瑞典语、蒙古语和中文)的语音、文字转录及英文译文、Jiagu自然语言处理工具 - 以BiLSTM等模型为基础，提供知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类等功能、用unet实现对文档表格的自动检测，表格重建、NLP事件提取文献资源列表 、 金融领域自然语言处理研究资源大列表、CLUEDatasetSearch - 中英文NLP数据集：搜索所有中文NLP数据集，附常用英文NLP数据集 、medical_NER - 中文医学知识图谱命名实体识别 、(哈佛)讲因果推理的免费书、知识图谱相关学习资料/数据集/工具资源大列表、Forte：灵活强大的自然语言处理pipeline工具集 、Python字符串相似性算法库、PyLaia：面向手写文档分析的深度学习工具包、TextFooler：针对文本分类/推理的对抗文本生成模块、Haystack：灵活、强大的可扩展问答(QA)框架、中文关键短语抽取工具

Politeness Transfer: A Tag and Generate Approach

CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Pchatbot: A Large-Scale Dataset for Personalized Chatbot


Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Deep High-Resolution Representation Learning for Human Pose Estimation

Simple Baselines for Human Pose Estimation and Tracking

Tracking Objects as Points

Efficient Semantic Video Segmentation with Per-frame Inference

ISINet: An Instance-Based Approach for Surgical Instrument Segmentation

Amora: Black-box Adversarial Morphing Attack

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation

Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers

Real-Time End-to-End Action Detection with Two-Stream Networks


Repository for prompt-decoding using LLMs (GPT3.5, GPT4, Vicuna, and Zephyr)

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

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


Agrolib are a set of libraries for agrometeorological modeling and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.


Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

BETYdb: a yield, trait, and ecosystem service database applied to second‐generation bioenergy feedstock production

Global change biology. Bioenergy/GCB bioenergy


license

Spatially Explicit Soil Compaction Risk Assessment of Arable Soils at Regional Scale: The SaSCiA-Model

Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity


Code used for sourcing and cleaning the BigScience ROOTS corpus

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Scaling Data-Constrained Language Models

In-Context Learning with Many Demonstration Examples

Extending the Pre-Training of BLOOM for Improved Support of Traditional
  Chinese: Models, Methods and Results


A Free and Open Source Python Library for Multiobjective Optimization

Performance-based screening of porous materials for carbon capture

An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble

IEEE transactions on computer-aided design of integrated circuits and systems

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering

IEEE transactions on bio-medical engineering/IEEE transactions on biomedical engineering

Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK

Multi-agent Dynamic Algorithm Configuration

An extension of the non-inferior set estimation algorithm for many objectives

European journal of operational research

Bayesian Optimization over Permutation Spaces

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine

Cooperative adaptive management of the Nile River with climate and socio-economic uncertainties

An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation


Parallel Programming with Python and Charm++

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

pPython for Parallel Python Programming


RM-synthesis, RM-clean and QU-fitting on polarised radio spectra

CHIME/FRB Detection of Eight New Repeating Fast Radio Burst Sources

Nine New Repeating Fast Radio Burst Sources from CHIME/FRB

LOFAR Detection of 110–188 MHz Emission and Frequency-dependent Activity from FRB 20180916B

Rotation Measure Evolution of the Repeating Fast Radio Burst Source FRB 121102

Detection of Repeating FRB 180916.J0158+65 Down to Frequencies of 300 MHz

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

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

Monthly Notices of the Royal Astronomical Society

Dissecting nonthermal emission in the complex multiple-merger galaxy cluster Abell 2744: Radio and X-ray analysis

Strong Excess Faraday Rotation on the Inside of the Sagittarius Spiral Arm

A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B


Quantum dynamics package based on tensor network states

A general charge transport picture for organic semiconductors with nonlocal electron-phonon couplings

A general automatic method for optimal construction of matrix product operators using bipartite graph theory

Efficient quantum simulation of electron-phonon systems by variational basis state encoder

TenCirChem: An Efficient Quantum Computational Chemistry Package for the
  NISQ Era

Hybrid Quantum-Classical Boson Sampling Algorithm for Molecular Vibrationally Resolved Electronic Spectroscopy with Duschinsky Rotation and Anharmonicity.

The journal of physical chemistry letters


PyAutoFit: Classy Probabilistic Programming

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

PyAutoLens: Open-Source Strong Gravitational Lensing

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Automated galaxy-galaxy strong lens modelling: no lens left behind

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

Scanning For Dark Matter Subhalos in Hubble Space Telescope Imaging of 54 Strong Lenses

Testing strong lensing subhalo detection with a cosmological simulation


the pangenome graph builder

Graph pangenome captures missing heritability and empowers tomato breeding

A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar

Vcflib and tools for processing the VCF variant call format

Genome alignment with graph data structures: a comparison

Superbubbles, Ultrabubbles, and Cacti

Journal of computational biology : a journal of computational molecular cell biology

Unbiased pangenome graphs

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

From the reference human genome to human pangenome: Premise, promise and challenge

A super-pangenome of the North American wild grape species


pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

Understanding Black-box Predictions via Influence Functions

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Data Shapley: Equitable Valuation of Data for Machine Learning

Towards Efficient Data Valuation Based on the Shapley Value

Second-Order Stochastic Optimization for Machine Learning in Linear Time

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Scaling Up Influence Functions

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning


From Entropy to Information: Biased Typewriters and the Origin of Life

Does self-replication imply evolvability?

Origin of life in a digital microcosm

Spatial resource heterogeneity creates local hotspots of evolutionary potential

How the footprint of history shapes the evolution of digital organisms

Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs


Improved polygenic prediction by Bayesian multiple regression on summary statistics

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Genetic diversity fuels gene discovery for tobacco and alcohol use

Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Deep neural network improves the estimation of polygenic risk scores for breast cancer

Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam


A free audio dataset of spoken digits. An audio version of MNIST.

SMIL: Multimodal Learning with Severely Missing Modality

Scalable optical learning operator

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning

Did the Model Change? Efficiently Assessing Machine Learning API Shifts

Towards Empirical Sandwich Bounds on the Rate-Distortion Function

On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections

Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices

Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity

In-Filter Computing for Designing Ultralight Acoustic Pattern Recognizers


Open Charge Map is the global public registry of electric vehicle charging locations. Established 2011. Help wanted.


Acceleration package for neural networks on multi-core CPUs

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

The 3rd International Workshop on Deep Learning for Mobile Systems and Applications

High performance ultra-low-precision convolutions on mobile devices

High Performance and Portable Convolution Operators for Multicore Processors

Automating Generation of Low Precision Deep Learning Operators

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

Computation-efficient Deep Learning for Computer Vision: A Survey

Array languages make neural networks fast

Proceedings of the 7th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming

Multi-Component Optimization and Efficient Deployment of Neural-Networks
  on Resource-Constrained IoT Hardware

Accelerating CNN inference on long vector architectures via co-design


Transcript quantification import for modular pipelines

A simple guide to de novo transcriptome assembly and annotation

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Nuclear hormone receptor NHR-49 acts in parallel with HIF-1 to promote hypoxia adaptation in Caenorhabditis elegans

Bioinformatic and cell-based tools for pooled CRISPR knockout screening in mosquitos

Endogenous expression of inactive lysine deacetylases reveals deacetylation-dependent cellular mechanisms


:earth_americas: Simple and fast watershed delineation in python.

A cross-scale study for compound flooding processes during Hurricane Florence

Natural hazards and earth system sciences

Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures

Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps

Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning


Python utilities for Cytoscape and Cytoscape.js

Cytoscape Automation: empowering workflow-based network analysis

CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API

Identifier Mapping in Cytoscape

eXamine: Visualizing annotated networks in Cytoscape


ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template

Quantifying the Carbon Emissions of Machine Learning


An attempt at a new LWE estimator

Survey on Fully Homomorphic Encryption, Theory, and Applications

Quantum Augmented Dual Attack


Convert a PDDL domain into an OpenAI Gym environment.

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

PDDLGym: Gym Environments from PDDL Problems

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

pyRDDLGym: From RDDL to Gym Environments

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning


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

Educatio siglo XXI: Revista de la Facultad de Educación

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


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

Node Immunization with Non-backtracking Eigenvalues

Stochastic Electric Vehicle Network with Elastic Demand and Environmental Costs


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

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

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Transition-based Parsing with Stack-Transformers

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

Pushing the Limits of AMR Parsing with Self-Learning

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

Inducing and Using Alignments for Transition-based AMR Parsing


A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

Sequence-Level Knowledge Distillation

No Language Left Behind: Scaling Human-Centered Machine Translation

Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation

Seamless: Multilingual Expressive and Streaming Speech Translation

BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric


Simple RISC-V 3-stage Pipeline in Chisel

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE transactions on information and systems

Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism


PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE   等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Learning Transferable Visual Models From Natural Language Supervision

Momentum Contrast for Unsupervised Visual Representation Learning

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Emerging Properties in Self-Supervised Vision Transformers

A ConvNet for the 2020s

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

MLP-Mixer: An all-MLP Architecture for Vision


Prosodic: a metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.

Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models


COIN-OR Interior Point Optimizer IPOPT

Towards Fully Autonomous UAVs: A Survey

Multi-player Equilibria Verification for Concurrent Stochastic Games

Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems.

Higher-order moment portfolio optimization via difference-of-convex programming and sums-of-squares

Discrete Dynamical System Approaches for Boolean Polynomial Optimization

False Data Injection Attack Against Power System Small-Signal Stability

A Newton-Type Active Set Method for Nonlinear Optimization with Polyhedral Constraints

Practical isogeometric shape optimization: parametrization by means of regularization

Journal of computational design and engineering

Probabilistic Model Checking for Strategic Equilibria-based Decision
  Making: Advances and Challenges

Balanced Identification as an Intersection of Optimization and Distributed Computing.


The official repository for the deepSNV bioconductor packages. Branch master tracks the official Bioconductor development branch.

Prediction of acute myeloid leukaemia risk in healthy individuals

Extensive phylogenies of human development inferred from somatic mutations

Targeting MEK in vemurafenib-resistant hairy cell leukemia

Notch1 mutations drive clonal expansion in normal esophageal epithelium but impair tumor growth

Notch1 mutation drives clonal expansion in normal esophageal epithelium but impairs tumor growth


Multitask Environments for RL

Visual Reinforcement Learning with Imagined Goals

Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL

Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning

Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient

Learning to Reach Goals via Diffusion


A Testing Utility for Scratch 3.0

Neuroevolution-Based Generation of Tests and Oracles for Games

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

Search-based Testing for Scratch Programs

Automated test generation for Scratch programs

Model-based Testing of Scratch Programs


Neural network potentials

Pre-training via Denoising for Molecular Property Prediction

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics

TensorNet: Cartesian Tensor Representations for Efficient Learning of
  Molecular Potentials

Fractional Denoising for 3D Molecular Pre-training

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations


LOFAR pipeline using killms/ddfacet

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

The LOFAR Two-metre Sky Survey

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

Monthly Notices of the Royal Astronomical Society - LOFAR/H-ATLAS: the low-frequency radio luminosity-star formation rate relation

Giant radio galaxies in the LOFAR Two-metre Sky Survey I. Radio and environmental properties

LOFAR observations of galaxy clusters in HETDEX

HAL (Le Centre pour la Communication Scientifique Directe)

The Beautiful Mess in Abell 2255

Remnant radio-loud AGN in the Herschel-ATLAS field

Monthly notices of the Royal Astronomical Society

Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline

NGC 326: X-shaped no more


Python code for downloading PV data from PVOutput.org


MGARD: MultiGrid Adaptive Reduction of Data

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Scalable Hybrid Learning Techniques for Scientific Data Compression

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


WPS services related to hydrological modeling


Tools for air quality data analysis


StarDist - Object Detection with Star-convex Shapes

Cell Detection with Star-convex Polygons

Medical Image Computing and Computer-Assisted Intervention

A shift in lung macrophage composition is associated with COVID-19 severity and recovery

Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates

Computational and structural biotechnology journal

Bubble identification from images with machine learning methods

StarDist Image Segmentation Improves Circulating Tumor Cell Detection

Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons

Peak Pair Pruner: a post-processing software to MS-DIAL for peak pair validation and ratio quantification of isotopic labeling LC-MS(/MS) data

Behavioural Biases and Information Disclosure Laws Relating to Residential Property Sales: Narrowing the Gap between Existing Laws and Calls for Future Reforms

bioRxiv : the preprint server for biology


A visual exploratory tool on correlation matrix

Behavior of QQ-Plots and Genomic Control in Studies of Gene-Environment Interaction

Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: a cross-sectional study

Age-severity matched cytokine profiling reveals specific signatures in Covid-19 patients

Oral administration of Blautia wexlerae ameliorates obesity and type 2 diabetes via metabolic remodeling of the gut microbiota

Salmon gut microbiota correlates with disease infection status: potential for monitoring health in farmed animals

Aberrant gut-microbiota-immune-brain axis development in premature neonates with brain damage

Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability

Asymptomatic and symptomatic SARS-CoV-2 infections elicit polyfunctional antibodies

Self-sustaining IL-8 loops drive a prothrombotic neutrophil phenotype in severe COVID-19

Serological analysis reveals an imbalanced IgG subclass composition associated with COVID-19 disease severity


Modeling with limited data

Accelerating molecular simulations of proteins using Bayesian inference on weak information

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

Binding Ensembles of p53-MDM2 Peptide Inhibitors by Combining Bayesian Inference and Atomistic Simulations

Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers

Journal of chemical theory and computation


Official outputs from the RDA DMP Common Standards WG

Data Management Planning: How Requirements and Solutions are Beginning to Converge

Open government data and environmental science: a federal Canadian perspective

Machine-Actionable Data Management Plans: A Knowledge Retrieval Approach to Automate the Assessment of Funders’ Requirements


The Shine compiler for the RISE language

Sketch-Guided Equality Saturation: Scaling Equality Saturation to Complex Optimizations in Languages with Bindings

Sketch-Guided Equality Saturation: Scaling Equality Saturation to
  Complex Optimizations of Functional Programs

A Domain-Extensible Compiler with Controllable Automation of
  Optimisations


Neuroscience information exchange format

Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience

Workflow for health-related and brain data lifecycle

Development of the Neurodata Without Borders: Neurophysiology file format

Integrating data storage and annotation in the data workflow using the NIX format and libraries


[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
  APIs

Tool Learning with Foundation Models


Renewable Energy Potential (reV) Model

The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling


Deblur is a greedy deconvolution algorithm based on known read error profiles.

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

Host Ecology Rather Than Host Phylogeny Drives Amphibian Skin Microbial Community Structure in the Biodiversity Hotspot of Madagascar

Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus

Community richness of amphibian skin bacteria correlates with bioclimate at the global scale

Method development for cross-study microbiome data mining: Challenges and opportunities

No impact of a short-term climatic “El Niño” fluctuation on gut microbial diversity in populations of the Galápagos marine iguana (Amblyrhynchus cristatus)

Amelioration of Alzheimer’s Disease by Gut-Pancreas-Liver-Brain Interaction in an App Knock-In Mouse Model

Achieving pan-microbiome biological insights via the dbBact knowledge base

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study


:honeybee: A python library to create, run and visualize radiance studies. Core library of Honeybee[+].


OpenMM-based framework for absolute and relative binding free energy calculations with the Alchemical Transfer Method

Validation of the Alchemical Transfer Method for the Estimation of
  Relative Binding Affinities of Molecular Series

Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands

What to Make of Zero: Resolving the Statistical Noise from
  Conformational Reorganization in Alchemical Binding Free Energy Estimates
  with Metadynamics Sampling


Sentiment Analysis, Text Classification, Text Augmentation,  Text Adversarial defense, etc.;

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

Improving Implicit Sentiment Learning via Local Sentiment Aggregation

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

Enhancing Fine-grained Sentiment Classification Exploiting Local Context
  Embedding

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction

UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)


Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads

Raw Filtering of JSON Data on FPGAs

Cloudprofiler: TSC-based inter-node profiling and high-throughput data
  ingestion for cloud streaming workloads


Juman++ (a Morphological Analyzer Toolkit)

Juman++: A Morphological Analysis Toolkit for Scriptio Continua

Empirical Methods in Natural Language Processing

Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task

Dynamically Updating Event Representations for Temporal Relation
  Classification with Multi-category Learning

Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases

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

Design and Structure of The Juman++ Morphological Analyzer Toolkit

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation

Linguistically Driven Multi-Task Pre-Training for Low-Resource Neural Machine Translation

ACM transactions on Asian and low-resource language information processing

EMS: Efficient and Effective Massively Multilingual Sentence
  Representation Learning

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation

KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019


An extensible framework for program autotuning

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Search for Optimal Systolic Arrays: A Comprehensive Automated
  Exploration Framework and Lessons Learned

Compiler Autotuning through Multiple Phase Learning


iVar is a computational package that contains functions broadly useful for viral amplicon-based sequencing.

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

Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer

Flight-Associated Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 Corroborated by Whole-Genome Sequencing

Travel Surveillance and Genomics Uncover a Hidden Zika Outbreak during the Waning Epidemic

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

SARS-CoV-2 Omicron (B.1.1.529) Infection of Wild White-Tailed Deer in New York City

Genomic stability of self-inactivating rabies

Metagenomic next-generation sequencing to characterize etiologies of non-malarial fever in a cohort living in a high malaria burden area of Uganda

The Isolated in Utero Environment Is Conducive to the Emergence of RNA and DNA Virus Variants

Genomic Surveillance of Monkeypox Virus, Minas Gerais, Brazil, 2022


rna-tools: a toolbox to analyze sequences, structures and simulations of RNA (and more) used by RNA CASP, RNA PUZZLES, and me ;-) docs @ http://rna-tools.rtfd.io web @ http://rna-tools.online

RNA 3D structure prediction guided by independent folding of homologous sequences


Contrastive Language-Audio Pretraining

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Simple and Controllable Music Generation

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using
  Beat-Synchronous Mixup Strategies

Audiobox: Unified Audio Generation with Natural Language Prompts

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

Masked Audio Generation using a Single Non-Autoregressive Transformer

LLark: A Multimodal Instruction-Following Language Model for Music

Coco-Nut: Corpus of Japanese Utterance and Voice Characteristics
  Description for Prompt-based Control


Open source lung ultrasound (LUS) data collection initiative for COVID-19.

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19

Role of Artificial Intelligence in COVID-19 Detection

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

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

ACCELERATING COVID-19 DIFFERENTIAL DIAGNOSISWITH EXPLAINABLE ULTRASOUND IMAGE ANALYSIS: AN AI TOOL

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review


Development of homotopy type theory in Agda

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

The univalence axiom for elegant Reedy presheaves

On the homotopy groups of spheres in homotopy type theory

Homotopy Type Theory in Lean

Internalizing Representation Independence with Univalence

On the Formalization of Higher Inductive Types and Synthetic Homotopy
  Theory

Higher Homotopies in a Hierarchy of Univalent Universes

Cellular Cohomology in Homotopy Type Theory

Fibred fibration categories

Concrete Categories in Homotopy Type Theory


This is a github repository of the abandonware Sequitur G2P by Bisani & Ney

Joint Approach to Deromanization of Code-mixed Texts

Development of Hybrid ASR Systems for Low Resource Medical Domain
  Conversational Telephone Speech

A Multi-Orthography Parallel Corpus of Yiddish Nouns


A simple toolkit to process TREC files in Python.

TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Query Reformulation using Query History for Passage Retrieval in Conversational Search

From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track


United Perception

Equalized Focal Loss for Dense Long-Tailed Object Detection

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition


Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Detecting and quantifying causal associations in large nonlinear time series datasets

Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

High-recall causal discovery for autocorrelated time series with latent confounders

Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach

Common solar wind drivers behind magnetic storm-magnetospheric substorm dependency

Reconstructing regime-dependent causal relationships from observational time series

Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables

Dynamic contextual influences on social motivation and behavior in schizophrenia: a case-control network analysis

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks


ThunderGBM: Fast GBDTs and Random Forests on GPUs

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Practical Federated Gradient Boosting Decision Trees

Privacy-Preserving Gradient Boosting Decision Trees


A Python 3 Bitcoin blockchain parser

Knowledge Discovery in Cryptocurrency Transactions: A Survey

Steganographic Analysis of Blockchains

How to Not Get Caught When You Launder Money on Blockchain?

Illicit Activity Detection in Bitcoin Transactions using Timeseries Analysis

International journal of advanced computer science and applications/International journal of advanced computer science & applications


The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning

Sequoia: A Software Framework to Unify Continual Learning Research

Challenging Common Assumptions about Catastrophic Forgetting


Visualization of Functional Enrichment Result

Identification of prognostic immune-related genes in the tumor microenvironment of endometrial cancer

RNF31 inhibition sensitizes tumors to bystander killing by innate and adaptive immune cells

A Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Epithelial Ovarian Cancer

Transcriptome analysis reveals potential immune function-related regulatory genes/pathways of female Lubo goat submandibular glands at different developmental stages

Classifiers for Predicting Coronary Artery Disease Based on Gene Expression Profiles in Peripheral Blood Mononuclear Cells

International journal of general medicine

Identification of Diagnostic Biomarkers Associated with Stromal and Immune Cell Infiltration in Fatty Infiltration After Rotator Cuff Tear by Integrating Bioinformatic Analysis and Machine-Learning


Ruby on Rails

Understanding Review Expertise of Developers: A Reviewer Recommendation Approach Based on Latent Dirichlet Allocation

Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub

New Directions in Cloud Programming

Automatic Identification of Similar Pull-Requests in GitHub's Repositories Using Machine Learning

Backports

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

Finding Regressions in Projects under Version Control Systems

License Incompatibilities in Software Ecosystems

GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing

Beyond Agile: Studying The Participatory Process in Software Development


A Simple and Versatile Framework for Object Detection and Instance Recognition

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

Feature Pyramid Networks for Object Detection

Scale-Aware Trident Networks for Object Detection

Detection in Crowded Scenes: One Proposal, Multiple Predictions

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition


Library for Low-Frequency

The LOFAR LBA Sky Survey

Magnetic fields and relativistic electrons fill entire galaxy cluster

Galaxy clusters enveloped by vast volumes of relativistic electrons

The LOFAR LBA Sky Survey: Deep Fields I. The Boötes Field

The LOFAR LBA Sky Survey II. First data release

Particle re-acceleration and diffuse radio sources in the galaxy cluster Abell 1550

ViCTORIA project: The LOFAR HBA Virgo Cluster Survey

Low-frequency radio observations of recurrent nova RS Ophiuchi with MeerKAT and LOFAR

A three-component giant radio halo: The puzzling case of the galaxy cluster Abell 2142


A Latex style and template for paper preprints (based on NIPS style)

Probing CP symmetry and weak phases with entangled double-strange baryons

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets

A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning

A Brief Survey of Associations Between Meta-Learning and General AI

Dynamic Bayesian Neural Networks

Empirically Classifying Network Mechanisms

Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages

The Orbital Lense-Thirring Precession in a Strong Field


Renewable Energy Integration Simulation Engine


Generating Oceananigans large eddy simulation (LES) data for calibrating parameterizations


Medical image processing in Python

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Occupancy Planes for Single-view RGB-D Human Reconstruction

PlatiPy: Processing Library and Analysis Toolkit for Medical Imaging in Python

Image Translation for Medical Image Generation -- Ischemic Stroke
  Lesions


Home Performance XML


Python package for signal processing, with emphasis on iterative methods

Score-based diffusion models for accelerated MRI

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

The journal of machine learning for biomedical imaging

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Stability of conventional and machine learning-based tumor auto-segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR-linac system.

Medical physics on CD-ROM/Medical physics

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse
  Problems

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction.


Static Analyzer and Verifier

2LS: Memory Safety and Non-termination - (Competition Contribution)

Tools and Algorithms for Construction and Analysis of Systems

Template-Based Verification of Heap-Manipulating Programs

PROCEEDINGS OF THE 2018 18TH CONFERENCE ON FORMAL METHODS IN COMPUTER AIDED DESIGN (FMCAD)

2LS: Heap Analysis and Memory Safety

Benchmarking Software Model Checkers on Automotive Code

2LS for Program Analysis

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021


A simulator of malaria epidemiology and control

Public health impact and cost-effectiveness of the RTS,S/AS01 malaria vaccine: a systematic comparison of predictions from four mathematical models

Malaria intervention scale-up in Africa: effectiveness predictions for health programme planning tools, based on dynamic transmission modelling

Spectrum-Malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa

The influence of biological, epidemiological, and treatment factors on the establishment and spread of drug-resistant Plasmodium falciparum

Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions

Modelling the implications of stopping vector control for malaria control and elimination

Model-informed target product profiles of long acting-injectables for use as seasonal malaria prevention

Cost-Effectiveness of PBO versus Conventional Long-Lasting Insecticidal Bed Nets in Preventing Symptomatic Malaria in Nigeria: Results of a Pragmatic Randomized Trial

The American journal of tropical medicine and hygiene

An online analytical processing multi-dimensional data warehouse for malaria data

Database : the journal of biological databases and curation

Simulation-Based Inference for Global Health Decisions


PopPUNK  (POPulation Partitioning Using Nucleotide Kmers)

Fast and flexible bacterial genomic epidemiology with PopPUNK

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Genealogical inference and more flexible sequence clustering using iterative PopPUNK

Integrated genomic analysis of antibiotic resistance and virulence determinants in invasive strains of Streptococcus pneumoniae

Frontiers in cellular and infection microbiology


Fast transit light curves models in Python.

batman: BAsic Transit Model cAlculatioN in Python

Publications of the Astronomical Society of the Pacific

Helium in the eroding atmosphere of an exoplanet

Phase Curves of WASP-33b and HD 149026b and a New Correlation between Phase Curve Offset and Irradiation Temperature

K2-136: A Binary System in the Hyades Cluster Hosting a Neptune-sized Planet

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

Revisiting the HIP41378 system with K2 and Spitzer

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

Monthly notices of the Royal Astronomical Society

The Next Generation Transit Survey—prototyping phase


flexible suite of CLI tools for contact extraction (.pairs) from sequencing data (Hi-C, Micro-C and other chromosome capture methods)

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

Dynamic reorganization of the genome shapes the recombination landscape in meiotic prophase

Targeting SWI/SNF ATPases in enhancer-addicted prostate cancer

Genome-wide colocalization of RNA–DNA interactions and fusion RNA pairs

Order and stochasticity in the folding of individual Drosophila genomes

The genome-wide multi-layered architecture of chromosome pairing in early Drosophila embryos

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML

In vivo dissection of a clustered-CTCF domain boundary reveals developmental principles of regulatory insulation

Detecting chromatin interactions between and along sister chromatids with SisterC

Diverse silent chromatin states modulate genome compartmentalization and loop extrusion barriers


The open source Vue.js frontend (mobile and cordova app) for the argentinian carpooling application: Carpoolear


Sequence to Sequence Learning with Keras

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Sequence to Sequence Learning with Neural Networks

A Neural Conversational Model

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Seq2Seq Models with Dropout can Learn Generalizable Reduplication

Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology


An advanced geospatial data analysis platform

Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs


Transcript discovery and quantification with long RNA reads (Nanopores and PacBio)

Accurate isoform discovery with IsoQuant using long reads

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing


pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

Single-cell transcriptomics identifies divergent developmental lineage trajectories during human pituitary development

Single-cell profiling of transcriptome and histone modifications with EpiDamID

Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities

A TCF4/BRD4-dependent regulatory network confers cross-resistance to targeted and immune checkpoint therapy in melanoma

The single-cell and spatial transcriptional landscape of human gastrulation and early brain development

Single-cell sequencing identifies differentiation-related markers for molecular classification and recurrence prediction of PitNET

Dedifferentiated Schwann cell-derived TGF-β3 is essential for the neural system to promote wound healing

Deciphering the Molecular Characteristics of Human Idiopathic Nonobstructive Azoospermia from the Perspective of Germ Cells

scPlant: A versatile framework for single-cell transcriptomic data analysis in plants

Deciphering the dynamic niches and regeneration-associated transcriptional program of motoneurons following peripheral nerve injury


AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Conceptualized Representation Learning for Chinese Biomedical Text
  Mining

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

GIANT: Scalable Creation of a Web-scale Ontology

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

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment

DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem


Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

A ConvNet for the 2020s

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Building Normalizing Flows with Stochastic Interpolants

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Can denoising diffusion probabilistic models generate realistic
  astrophysical fields?

Synthetic Experience Replay

Reward-Directed Conditional Diffusion: Provable Distribution Estimation
  and Reward Improvement

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal
  Forecasting

DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model


IRAF - Image Reduction and Analysis Facility

Periodic transit timing variations and refined system parameters of the exoplanet XO-6b

Automated SpectroPhotometric Image REDuction (ASPIRED)

The near-core rotation of HD 112429

HD 60431, the CP2 star with the shortest rotational period -- Physical
  parameters and period analysis

Matter ejections behind the highs and lows of the transitional
  millisecond pulsar PSR J1023+0038


Tools for merging pretrained large language models.

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

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

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


PowerAPI is a Python framework for building software-defined power meters.


A high-level Python library for Quantum Natural Language Processing

lambeq: An Efficient High-Level Python Library for Quantum NLP

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models.

A gentle introduction to Quantum Natural Language Processing

NISQ Computers: A Path to Quantum Supremacy


Video Foundation Models & Data for Multimodal Understanding

InternVideo: General Video Foundation Models via Generative and
  Discriminative Learning

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding
  and Generation

Language Reward Modulation for Pretraining Reinforcement Learning

Harvest Video Foundation Models via Efficient Post-Pretraining


Property fuzzing for OCaml

Coverage guided, property based testing

Proceedings of the ACM on programming languages

FormatFuzzer: Effective Fuzzing of Binary File Formats

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

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


A Python Library for Graph Outlier Detection (Anomaly Detection)

Variational Graph Auto-Encoders

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

AnomalyDAE: Dual autoencoder for anomaly detection on attributed
  networks

Outlier Aware Network Embedding for Attributed Networks

One-class graph neural networks for anomaly detection in attributed networks

BOND: Benchmarking Unsupervised Outlier Node Detection on Static
  Attributed Graphs

PyGOD: A Python Library for Graph Outlier Detection

DAGAD: Data Augmentation for Graph Anomaly Detection

Truncated Affinity Maximization: One-class Homophily Modeling for Graph
  Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


A tool for holistic analysis of language generations systems

Are Sixteen Heads Really Better than One?

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Towards Automatic Error Analysis of Machine Translation Output

International Conference on Computational Logic

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

Neural Machine Translation: A Review of Methods, Resources, and Tools

Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs

Findings of the First Shared Task on Machine Translation Robustness

Dynamic Data Selection and Weighting for Iterative Back-Translation

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation


Force-directed graph layout using velocity Verlet integration.

A Deep Generative Model for Graph Layout

IEEE transactions on visualization and computer graphics

FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis

CoV Genome Tracker: tracing genomic footprints of Covid-19 pandemic

Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data

The Role of Hub Neurons in Modulating Cortical Dynamics

Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network
  Representations

Is embodied interaction beneficial? A study on navigating network visualizations

DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks

Graph visualization of dark web hyperlinks and their feature analysis

International journal of networking and computing

Explaining Website Reliability by Visualizing Hyperlink Connectivity


Cycle oriented CartoCSS style.


A curated database of insecure Python packages

An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications

International Workshop on Empirical Software Engineering in Practice

I Know What You Imported Last Summer: A study of security threats in thePython ecosystem

Analyzing the Direct and Transitive Impact of Vulnerabilities onto Different Artifact Repositories


a CLI that provides a generic automation layer for assessing the security of ML models

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

secml-malware: Pentesting Windows Malware Classifiers with Adversarial
  EXEmples in Python

AI Security Threats against Pervasive Robotic Systems: A Course for Next
  Generation Cybersecurity Workforce


Source for the EnergySparks website


Single-document unsupervised keyword extraction

YAKE! Keyword extraction from single documents using multiple local features

A Review of Keyphrase Extraction

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

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

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

TNT-KID: Transformer-based neural tagger for keyword identification

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

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

Discovering and Mitigating Visual Biases through Keyword Explanation

Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction


Benchmark environments for reward modelling and imitation learning algorithms.

imitation: Clean Imitation Learning Implementations

On The Fragility of Learned Reward Functions

A Primer on Maximum Causal Entropy Inverse Reinforcement Learning

Learn what matters: cross-domain imitation learning with task-relevant
  embeddings


The Chroma Software System for Lattice QCD

A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics

Simulating the Weak Death of the Neutron in a Femtoscale Universe with Near-Exascale Computing

Λ_c →Λ^*(1520) form factors from lattice QCD and improved analysis of the Λ_b →Λ^*(1520) and Λ_b →Λ_c^*(2595,2625) form factors

Λ b → Λ c * ( 2595 , 2625 ) ℓ − ν ¯ form factors from lattice QCD

Angular distributions for Λ_b→Λ^*_J (pK^-)J/ψ Decays

Lattice gauge ensembles and data management

Exclusive semileptonic B_s→ K ℓν decays on the lattice

Quantum Chromodynamics: Computational Aspects


[HELP REQUESTED] Generalized Additive Models in Python

Base-resolution models of transcription factor binding reveal soft motif syntax

Binarsity: a penalization for one-hot encoded features in linear supervised learning

GAM(e) changer or not? An evaluation of interpretable machine learning
  models based on additive model constraints

Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting

Interpretable machine learning to understand the performance of semi
  local density functionals for materials thermochemistry


Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Unsupervised Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Linguistic Input Features Improve Neural Machine Translation

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

BPE-Dropout: Simple and Effective Subword Regularization

The IIT Bombay English-Hindi Parallel Corpus

fairseq S2T: Fast Speech-to-Text Modeling with fairseq


Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to  Adasme et al. (2021), https://doi.org/10.1093/nar/gkab294

PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA

Harnessing Protein-Ligand Interaction Fingerprints to Predict New Scaffolds of RIPK1 Inhibitors


A framework for high-performance medical image processing, neural network inference and visualization

High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology

FAST: A framework for high-performance medical image computing and visualization


Hierarchical Alignment Format

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

HAL: a hierarchical format for storing and analyzing multiple genome alignments

Comparative assembly hubs: Web-accessible browsers for comparative genomics

A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers

halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments

Complex evolutionary processes maintain an ancient chromosomal inversion

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

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants


C++ API & command-line toolkit for working with BAM data

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

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

ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

Genomic Treasure Troves: Complete Genome Sequencing of Herbarium and Insect Museum Specimens

Insights into HLA-G Genetics Provided by Worldwide Haplotype Diversity

PolyCat: A Resource for Genome Categorization of Sequencing Reads From Allopolyploid Organisms

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Insights into the Evolution of Cotton Diploids and Polyploids from Whole-Genome Re-sequencing

YES1 amplification is a mechanism of acquired resistance to EGFR inhibitors identified by transposon mutagenesis and clinical genomics

Sanger and Next Generation Sequencing Approaches to Evaluate HIV-1 Virus in Blood Compartments

International journal of environmental research and public health


a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

TurboTransformers: An Efficient GPU Serving System For Transformer Models

Scale-out Systolic Arrays


A tool for estimating repeat sizes

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

Whole genome sequencing for the diagnosis of neurological repeat expansion disorders in the UK: a retrospective diagnostic accuracy and prospective clinical validation study

Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia

Use of whole genome sequencing to determine genetic basis of suspected mitochondrial disorders: cohort study

Structural variation analysis of 6,500 whole genome sequences in amyotrophic lateral sclerosis


Scripts for training general-purpose large vocabulary German acoustic models for ASR with Kaldi.

Transfer Learning for Speech Recognition on a Budget

Open Source German Distant Speech Recognition: Corpus and Acoustic Model

Open Source Automatic Speech Recognition for German

Towards Automated Assessment of Stuttering and Stuttering Therapy


Website for Principles of Sustainable Software Engineering


A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Parameter-efficient fine-tuning of large-scale pre-trained language models

BBTv2: Towards a Gradient-Free Future with Large Language Models

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based
  Sentiment Analysis

When Federated Learning Meets Pre-trained Language Models'
  Parameter-Efficient Tuning Methods

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models


Single cell perturbation prediction

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data


A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

A Tutorial on Bayesian Optimization

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Bayesian Optimization with Gradients

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

Scalable Constrained Bayesian Optimization

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization.

Discretization-free Knowledge Gradient Methods for Bayesian Optimization

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Batch Bayesian Optimization via Particle Gradient Flows


DL1 HDF5 format IACT data writer + reader + processor

Studying Deep Convolutional Neural Networks With Hexagonal Lattices for Imaging Atmospheric Cherenkov Telescope Event Reconstruction

CTLearn: Deep Learning for Gamma-ray Astronomy

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

IACT event analysis with the MAGIC telescopes using deep convolutional
  neural networks with CTLearn

Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection

The performance of the MAGIC telescopes using deep convolutional neural
  networks with CTLearn


Construct 1D interior structure models based on planetary properties. Self-consistent thermodynamics are used for fluid, rock, and mineral phases. Sound speeds, attenuation, and electrical conductivities are computed as outputs.

Geophysical tests for habitability in ice-covered ocean worlds

Journal of geophysical research. Planets

Expected Seismicity and the Seismic Noise Environment of Europa

Seismic Wave Propagation in Icy Ocean Worlds

Magnetic Induction in Convecting Galilean Oceans

The Effects of Methane Clathrates on the Thermal and Seismic Profile of Titan's Icy Lithosphere


Source code for ClimateLearn

ClimateLearn: Benchmarking Machine Learning for Weather and Climate
  Modeling


Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)


AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. ai4climatecoop.org

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU


JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face

CodePlan: Repository-level Coding using LLMs and Planning

TaskWeaver: A Code-First Agent Framework

TaskBench: Benchmarking Large Language Models for Task Automation

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction


[Tool] For Knowledge Graph Representation Learning

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

μKG: A Library for Multi-source Knowledge Graph Embeddings
  and Applications

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning


Codebase for Image Classification Research, written in PyTorch.

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Designing Network Design Spaces

Exploring Randomly Wired Neural Networks for Image Recognition

On Network Design Spaces for Visual Recognition

Fast and Accurate Model Scaling

Are Labels Necessary for Neural Architecture Search?

Generic Neural Architecture Search via Regression

Self-distillation with Batch Knowledge Ensembling Improves ImageNet
  Classification


LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Feature Refinement to Improve High Resolution Image Inpainting

Perceptual Artifacts Localization for Image Synthesis Tasks

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image
  Detectors

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


R functions to perform and display Google Trends queries

Calibration of Google Trends Time Series

International Conference on Information and Knowledge Management

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

Using web search queries to monitor influenza-like illness: an exploratory retrospective analysis, Netherlands, 2017/18 influenza season

Monitoring of cherry flowering phenology with Google Trends

Impact of the Coronavirus Disease on Micronutrient Search Trends and Interest in Global Population: A Worldwide Google Trend Analysis

PREPRINT: Using digital epidemiology methods to monitor influenza-like illness in the Netherlands in real-time: the 2017-2018 season

Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An
  Application of Gradient Boosted Decision Trees to the S&P 100


Cedille, a dependently typed programming languages based on the Calculus of Dependent Lambda Eliminations

Elaborating Inductive Definitions and Course-of-Values Induction in
  Cedille

Efficient lambda encodings for Mendler-style coinductive types in Cedille


A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Pretrained Transformers for Text Ranking: BERT and Beyond

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Pre-training Methods in Information Retrieval

COCO-DR: Combating Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are
  Better Dense Retrievers

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed
  Search Logs for Zero-shot Biomedical Information Retrieval


A collection of fuzzers in a harness for testing the SpiderMonkey JavaScript engine.

The Art, Science, and Engineering of Fuzzing: A Survey

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation

SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

Liveness-Driven Random Program Generation

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

White-box Compiler Fuzzing Empowered by Large Language Models

CorbFuzz: Checking Browser Security Policies with Fuzzing


Versatile open-source tool for microbiome analysis

VSEARCH: a versatile open source tool for metagenomics

Swarm v2: highly-scalable and high-resolution amplicon clustering

A New Approach to Modify Plant Microbiomes and Traits by Introducing Beneficial Bacteria at Flowering into Progeny Seeds

PIPITS: an automated pipeline for analyses of fungal internal transcribed spacer sequences from the Illumina sequencing platform

Treatment of Active Crohn’s Disease With an Ordinary Food-based Diet That Replicates Exclusive Enteral Nutrition

Needle in a haystack? A comparison of eDNA metabarcoding and targeted qPCR for detection of the great crested newt (Triturus cristatus)

Deciphering rhizosphere microbiome assembly of wild and modern common bean (Phaseolus vulgaris) in native and agricultural soils from Colombia

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

INC-Seq: accurate single molecule reads using nanopore sequencing

Active microorganisms thrive among extremely diverse communities in cloud water


This project studies the performance and robustness of language models and task-adaptation methods.

OLMo: Accelerating the Science of Language Models

Paloma: A Benchmark for Evaluating Language Model Fit

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets


rrtools: Tools for Writing Reproducible Research in R

More than smell – COVID-19 is associated with severe impairment of smell, taste, and chemesthesis

Ten simple rules for writing Dockerfiles for reproducible data science

Truth, Proof, and Reproducibility: There’s No Counter-Attack for the Codeless

The Rockerverse: Packages and Applications for Containerisation with R

Patterns in Mongolian nomadic household movement derived from GPS trajectories

Creating optimal conditions for reproducible data analysis in R with
  'fertile'


The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Segment Anything

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Segment anything model for medical images?

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Segment Any Anomaly without Training via Hybrid Prompt Regularization

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts

CellViT: Vision Transformers for Precise Cell Segmentation and
  Classification

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Equivariant Adaptation of Large Pretrained Models


A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

USB: A Unified Semi-supervised Learning Benchmark for Classification

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning

Rethinking Semi-supervised Learning with Language Models

Don't fear the unlabelled: safe semi-supervised learning via simple
  debiasing

Three Heads Are Better Than One: Complementary Experts for Long-Tailed
  Semi-supervised Learning


Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

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

Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research


Optimal Control for Switched Systems

Perceptive Locomotion Through Nonlinear Model-Predictive Control

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation

Combining Learning-based Locomotion Policy with Model-based Manipulation
  for Legged Mobile Manipulators

A Collision-Free MPC for Whole-Body Dynamic Locomotion and Manipulation

Adaptive CLF-MPC With Application to Quadrupedal Robots

International Conference on Robotics and Automation

Offline motion libraries and online MPC for advanced mobility skills

The international journal of robotics research

Versatile multicontact planning and control for legged loco-manipulation

N^2M^2: Learning Navigation for Arbitrary Mobile Manipulation
  Motions in Unseen and Dynamic Environments

Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics

Keep it Upright: Model Predictive Control for Nonprehensile Object
  Transportation with Obstacle Avoidance on a Mobile Manipulator


Build a partitioned pangenome graph from microbial genomes

MicroScope: an integrated platform for the annotation and exploration of microbial gene functions through genomic, pangenomic and metabolic comparative analysis

PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph

panRGP: a pangenome-based method to predict genomic islands and explore their diversity

Strain-level Screening of Human Gut Microbes Identifies Blautia Producta as a Novel Anti-hyperlipidemic Probiotic Via the Production of 12-methylmyristic Acid


DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Preference Ranking Optimization for Human Alignment

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for
  Text-to-SQL Parsing

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Wider and Deeper LLM Networks are Fairer LLM Evaluators

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for
  Task-Oriented Dialog Understanding

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing


A compression benchmark suite

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Foresight: Analysis That Matters for Data Reduction

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing