One Million Scenes for Autonomous Driving: ONCE Dataset

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

Refining the ONCE Benchmark with Hyperparameter Tuning


Yu Tian et al. "CR-GAN: Learning Complete Representations for Multi-view Generation", IJCAI 2018

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks


Structural Deep Clustering Network

Deep Clustering for Unsupervised Learning of Visual Features

Structural Deep Clustering Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

A Comprehensive Survey on Community Detection With Deep Learning

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering

Pressure Sensor Placement in Water Supply Network Based on Graph Neural Network Clustering Method

Unsupervised Network Embedding Beyond Homophily

Dual Information Enhanced Multi-view Attributed Graph Clustering

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

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


Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Better Diffusion Models Further Improve Adversarial Training

One-step Diffusion with Distribution Matching Distillation

A Recipe for Watermarking Diffusion Models

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Analyzing and Improving the Training Dynamics of Diffusion Models

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Minimizing Trajectory Curvature of ODE-based Generative Models


use long sequenced reads to close gaps in assemblies

Chromosome-Scale Genome Assembly for Chinese Sour Jujube and Insights Into Its Genome Evolution and Domestication Signature

Gapless genome assembly of azalea and multi-omics investigation into divergence between two species with distinct flower color

An ancient truncated duplication of the anti-Mullerian hormone receptor type 2 gene is a potential conserved master sex determinant in the Pangasiidae catfish family

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


A library that implements fairness-aware machine learning algorithms

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


Deep Closest Point: Learning Representations for Point Cloud Registration

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

Irregularly Tabulated MLP for Fast Point Feature Embedding


Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Image Generation from Scene Graphs

PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Generative Compositional Augmentations for Scene Graph Prediction

Controllable and Progressive Image Extrapolation

Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation


Self-supervised monocular depth estimation with a vision transformer

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation


Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes

Learning Effective Binary Visual Representations with Deep Networks


Tools to convert Illumina IDAT/BPM/EGT/GTC and Affymetrix CEL/CHP files to VCF

Large mosaic copy number variations confer autism risk

BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies

Nine out of ten samples were mistakenly switched by The Orang-utan Genome Consortium

Clonal Hematopoiesis Defined by Somatic Mutations Infrequently Co-occurs With Mosaic Loss of the Y Chromosome in a Population-based Cohort

The RNA editing landscape in acute myeloid leukemia reveals associations with disease mutations and clinical outcome

Role of Transporters and Enzymes in Metabolism and Distribution of 4-Chlorokynurenine (AV-101)

Genome-Wide Copy Number Variant and High-Throughput Transcriptomics Analyses of Placental Tissues Underscore Persisting Child Susceptibility in At-Risk Pregnancies Cleared in Standard Genetic Testing

International journal of molecular sciences


Gradient based sample selection for online continual learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Online Prototype Learning for Online Continual Learning

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation


夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发，以 ChatGLM 为大模型底座，基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能，旨在为用户提供全方位、高精准的法律咨询与解答服务。

TrustLLM: Trustworthiness in Large Language Models

Large Language Models in Law: A Survey

LawBench: Benchmarking Legal Knowledge of Large Language Models

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

InternLM-Law: An Open Source Chinese Legal Large Language Model


Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder


A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).

Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact

Marine Heatwaves Characteristics in the Barents Sea Based on High Resolution Satellite Data (1982–2020)

Oceanic mesoscale eddies as crucial drivers of global marine heatwaves

Marine Heatwaves in Siberian Arctic Seas and Adjacent Region

Frequent marine heatwaves hidden below the surface of the global ocean


Simple FASTQ quality assessment using Python

Legume genomics and transcriptomics: From classic breeding to modern technologies

Transcriptome Profiling Reveals Important Transcription Factors and Biological Processes in Skin Regeneration Mediated by Mechanical Stretch

Proteotranscriptomics – A facilitator in omics research

Computational and structural biotechnology journal

Deciphering Key Foreign Body Reaction-Related Transcription Factors and Genes Through Transcriptome Analysis


Train ImageNet *fast* in 500 lines of code with FFCV

Fixing the train-test resolution discrepancy

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

On the interplay of adversarial robustness and architecture components: patches, convolution and attention

A Unified Approach to Controlling Implicit Regularization via Mirror Descent

A picture of the space of typical learnable tasks

Analysis of Linear Mode Connectivity via Permutation-Based Weight
  Matching


A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

The VoicePrivacy 2022 Challenge Evaluation Plan

Joint Masked CPC and CTC Training for ASR

Simple and Effective Unsupervised Speech Translation

Automatic Speaking Assessment of Spontaneous L2 Finnish and Swedish

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

mHuBERT-147: A Compact Multilingual HuBERT Model


Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

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

International Journal of Computer Vision

Multimodal Residual Learning for Visual QA

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

A Focused Dynamic Attention Model for Visual Question Answering

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset

DualNet: Domain-Invariant Network for Visual Question Answering

Active Learning for Visual Question Answering: An Empirical Study

Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering

Visual Question Answering as a Multi-Task Problem


A Python Package for Density Ratio Estimation

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift

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

Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics

Conformal Counterfactual Inference under Hidden Confounding

AmicroN: A Framework for Generating Annotations for Human Activity Recognition with Granular Micro-Activities


spaCy module for linking text to Wikidata items

Knowledge Graph Contrastive Learning for Recommendation

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

KALA: Knowledge-Augmented Language Model Adaptation

Reasoning over Public and Private Data in Retrieval-Based Systems

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting

On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation

LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction


Fast and accurate set similarity estimation via containment min hash

Metalign: efficient alignment-based metagenomic profiling via containment min hash

Improving MinHash via the containment index with applications to metagenomic analysis

CMash: fast, multi-resolution estimation of k-mer-based Jaccard and containment indices


Measuring Massive Multitask Language Understanding | ICLR 2021

Holistic Evaluation of Language Models

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models

Aligning AI With Shared Human Values

Large Language Models Are Not Robust Multiple Choice Selectors

Don't Make Your LLM an Evaluation Benchmark Cheater

Proving Test Set Contamination in Black Box Language Models

Benchmarking Retrieval-Augmented Generation for Medicine

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models


X Inertial-aided Visual Odometry

Unsupervised Depth Completion from Visual Inertial Odometry

Geo-Supervised Visual Depth Prediction

Monocular Visual-Inertial Depth Estimation

Learned Monocular Depth Priors in Visual-Inertial Initialization

Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance

Learned Uncertainty Calibration for Visual Inertial Localization


C++ implementation of the Coherent Point Drift point set registration algorithm.

DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration

International Conference on Computer Vision

Fast and Robust Iterative Closest Point

IEEE transactions on pattern analysis and machine intelligence

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments


Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Applying speech technologies to assess verbal memory in patients with serious mental illness

A Time-Frequency Attention Module for Neural Speech Enhancement

IEEE/ACM Transactions on Audio, Speech, and Language Processing

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

SubER: A Metric for Automatic Evaluation of Subtitle Quality

Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?

Using automated syllable counting to detect missing information in speech transcripts from clinical settings

No Pitch Left Behind: Addressing Gender Unbalance In Automatic Speech Recognition Through Pitch Manipulation

Thai Wav2Vec2.0 with CommonVoice V8


Software to Manipulate Different Flavors of Semantic Graphs

MRP 2019: Cross-Framework Meaning Representation Parsing

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing

Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

Speeding up quantum circuits simulation using ZX-Calculus

Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing

Conference of the European Chapter of the Association for Computational Linguistics

How much of UCCA can be predicted from AMR?

A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing

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


SPLADE: sparse neural search (SIGIR21, SIGIR22)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective

An Efficiency Study for SPLADE Models

Adaptive Re-Ranking with a Corpus Graph

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Faster Learned Sparse Retrieval with Guided Traversal

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

A Dense Representation Framework for Lexical and Semantic Matching


Low bandwidth DoS tool. Slowloris rewrite in Python.

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks

FortisEDoS: A Deep Transfer Learning-empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing

IEEE Transactions on Dependable and Secure Computing

Towards Explainable Meta-Learning for DDoS Detection


pure-Julia multidimensional h-adaptive integration

Constraining the Polarization of Gravitational Waves with the Parkes Pulsar Timing Array Second Data Release

Multi-collinear splitting kernels for track function evolution

Green Tensor Analysis of Lattice Resonances in Periodic Arrays of Nanoparticles

Fluid dynamics of charm quarks in the quark-gluon plasma

Analysis of Bootstrap and Subsampling in High-dimensional Regularized
  Regression

Lattice Green's Functions for High Order Finite Difference Stencils

A Duet of Freeze-in and Freeze-out: Lepton-Flavored Dark Matter and Muon Colliders


GBBS: Graph Based Benchmark Suite

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

SPAA'18: PROCEEDINGS OF THE 30TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs

Parallel Batch-Dynamic k-Clique Counting

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time

Parallel Index-Based Structural Graph Clustering and Its Approximation

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments


Louvain Community Detection

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Tissue-specific extracellular matrix accelerates the formation of neural networks and communities in a neuron-glia co-culture on a multi-electrode array

3D high-density microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics

CDLIB: a python library to extract, compare and evaluate communities from complex networks

The mosaic oat genome gives insights into a uniquely healthy cereal crop

Sentiment correlation in financial news networks and associated market movements

Mining Entity Synonyms with Efficient Neural Set Generation

A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner's dilemma

The social and structural architecture of the yeast protein interactome

Meta-validation of bipartite network projections


ELFI - Engine for Likelihood-Free Inference

ELFI: Engine for Likelihood-Free Inference

Inferring Cognitive Models from Data using Approximate Bayesian Computation

PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17)

Robust Optimisation Monte Carlo


ETH Robustness Analyzer for Deep Neural Networks

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Algorithms for Verifying Deep Neural Networks

Beyond the Single Neuron Convex Barrier for Neural Network Certification

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

PRIMA: general and precise neural network certification via scalable convex hull approximations

Proceedings of the ACM on programming languages

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming

The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification

Provable Repair of Deep Neural Networks


ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

Robustness Testing of Language Understanding in Task-Oriented Dialog

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems

Extrinsic Evaluation of Machine Translation Metrics

How to Evaluate Your Dialogue Models: A Review of Approaches

Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems

Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)


The devkit of the nuScenes dataset.

nuScenes: A multimodal dataset for autonomous driving

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

Geometry-based Distance Decomposition for Monocular 3D Object Detection

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion


The most advanced browser fingerprinting library.

User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users

Web Runner 2049: Evaluating Third-Party Anti-bot Services

The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications

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

A Large-scale Empirical Analysis of Browser Fingerprints Properties for Web Authentication

Steal Your Life Using 5 Cents: Hacking Android Smartphones with NFC Tags

Hfinger: Malware HTTP Request Fingerprinting

Taming The Shape Shifter: Detecting Anti-fingerprinting Browsers

FP-Rowhammer: DRAM-Based Device Fingerprinting

Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of
  Privacy-Harming Code in JavaScript Bundles


PyTorch implementation of DeepLabv3

Rethinking Atrous Convolution for Semantic Image Segmentation

Growing Efficient Deep Networks by Structured Continuous Sparsification

INTERN: A New Learning Paradigm Towards General Vision

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

Multi-Task Pruning for Semantic Segmentation Networks

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model


reference-based long read assemblies of bacterial genomes

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Complete Genome of Lactobacillus iners KY Using Flongle Provides Insight Into the Genetic Background of Optimal Adaption to Vaginal Econiche

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Complete and validated genomes from a metagenome

NanoForms: an integrated server for processing, analysis and assembly of raw sequencing data of microbial genomes, from Oxford Nanopore technology

Newly Established Genetic System for Functional Analysis of MetSV

International journal of molecular sciences

Genome assembly of 3 Amazonian Morpho butterfly species reveals Z-chromosome rearrangements between closely related species living in sympatry


The Machine Learning Optimizer

The Voice of Optimization

Online Mixed-Integer Optimization in Milliseconds

Solving Recurrent MIPs with Semi-supervised Graph Neural Networks


Turku Event Extraction System

The Genia Event Extraction Shared Task, 2013 Edition - Overview

Meeting of the Association for Computational Linguistics

Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing

Workshop on Biomedical Natural Language Processing

WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting

Joint Conference on Lexical and Computational Semantics

EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction

Biomedical Event Extraction as Multi-turn Question Answering

International Workshop on Health Text Mining and Information Analysis

From POS tagging to dependency parsing for biomedical event extraction

Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts

Database : the journal of biological databases and curation


Create regional association plots from GWAS or meta-analysis

Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers

Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis

Genome-wide association study identifies risk loci for progressive chronic lymphocytic leukemia

Conditional Analysis Cakewalk

Gene signatures derived from transcriptomic-causal networks stratified colorectal cancer patients for effective targeted therapy


GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Deep Learning on Graphs: A Survey

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

E(n) Equivariant Graph Neural Networks

Scalable Deep Generative Modeling for Sparse Graphs

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces

Graph Generation with Variational Recurrent Neural Network

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Partition and Code: learning how to compress graphs

Pard: Permutation-Invariant Autoregressive Diffusion for Graph
  Generation


g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech

A Polyphone BERT for Polyphone Disambiguation in Mandarin Chinese


Creative Commons Attribution 4.0 International

AUTOTYP data export

Language Structures May Adapt to the Sociolinguistic Environment, but It Matters What and How You Count: A Typological Study of Verbal and Nominal Complexity

Exploring correlations in genetic and cultural variation across language families in Northeast Asia

Detecting structured repetition in child-surrounding speech: Evidence from maximally diverse languages

The ACQDIV Corpus Database and Aggregation Pipeline

IMTVault: Extracting and Enriching Low-resource Language Interlinear Glossed Text from Grammatical Descriptions and Typological Survey Articles

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task

A Principled Framework for Evaluating on Typologically Diverse Languages


Implementation of R-GCNs for Relational Link Prediction

Modeling Relational Data with Graph Convolutional Networks

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Relational Graph Convolutional Networks: A Closer Look


Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)

Deep Learning for Deepfakes Creation and Detection: A Survey

A Review of Image Processing Techniques for Deepfakes

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


ROS compatible tool to generate Allan Deviation plots

FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms

Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms

TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments

FAST-LIO, Then Bayesian ICP, Then GTSFM


A nextflow version of the Wochenende reference metagenome binning and visualization pipeline

The Cystic Fibrosis Upper and Lower Airway Metagenome

Wochenende - modular and flexible alignment-based shotgun metagenome analysis

Sputum metagenomics of people with bronchiectasis

Gut microbiota depletion delays somatic peripheral nerve development and impairs neuromuscular junction maturation


A MATLAB package for modelling multivariate stimulus-response data

Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research

Emergence of the cortical encoding of phonetic features in the first year of life

An Analytical Framework of Tonal and Rhythmic Hierarchy in Natural Music Using the Multivariate Temporal Response Function

A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli


Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

2017 Robotic Instrument Segmentation Challenge

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A Review on Deep Learning in Minimally Invasive Surgery

Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

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

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net


An ultrafast optimal aligner for mapping large NGS data to large genome databases.

Evaluating the Information Content of Shallow Shotgun Metagenomics

Technology dictates algorithms: Recent developments in read alignment

Antibiotic-induced acceleration of type 1 diabetes alters maturation of innate intestinal immunity

Scalable and cost-effective ribonuclease-based rRNA depletion for transcriptomics

BURST enables mathematically optimal short-read alignment for big data

Characterization of the Oral Microbiome Among Children With Type 1 Diabetes Compared With Healthy Children

Alteration of the Gut Microbiome in Normal and Overweight School Children from Selangor with Lactobacillus Fermented Milk Administration

Heterogeneity of gut microbial responses in healthy household dogs transitioning from an extruded to a mildly cooked diet


A custom Monte Carlo sampler for the (gravitational) two-body problem

Close Binary Companions to APOGEE DR16 Stars: 20,000 Binary-star Systems Across the Color-Magnitude Diagram

The MAVERIC Survey: A Red Straggler Binary with an Invisible Companion in the Galactic Globular Cluster M10

The nearest neutron star candidate in a binary revealed by optical time-domain surveys

中国科学. 物理学 力学 天文学

A White Dwarf–Main-sequence Binary Unveiled by Time-domain Observations from LAMOST and TESS


Sharing Updatable Models (SUM) on Blockchain

Decentralized & Collaborative AI on Blockchain

International Congress on Blockchain and Applications

Applications and Challenges of Artificial Intelligence in Space Missions

Analysis of Models for Decentralized and Collaborative AI on Blockchain

An Investigation of Smart Contract for Collaborative Machine Learning Model Training


A Satellite Time Series Dataset for Crop Type Identification

Crop mapping from image time series: deep learning with multi-scale label hierarchies

Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey

BreizhCrops: A Time Series Dataset for Crop Type Mapping

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

A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture


Efficient algorithms for analyzing DNA methylation data.

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Meffil: efficient normalization and analysis of very large DNA methylation datasets

Distinct DNA methylation profiles in subtypes of orofacial cleft

Genetic regulation of methylation in human endometrium and blood and gene targets for reproductive diseases

Meffil: efficient normalisation and analysis of very large DNA methylation samples

Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health

DNA methylation changes following narrative exposure therapy in a randomized controlled trial with female former child soldiers

Identifying epigenetic biomarkers of established prognostic factors and survival in a clinical cohort of individuals with oropharyngeal cancer

Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer

Increased Methylation of Brain-Derived Neurotrophic Factor (BDNF) Is Related to Emotionally Unstable Personality Disorder and Severity of Suicide Attempt in Women


MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Data Poisoning Won't Save You From Facial Recognition

QMagFace: Simple and Accurate Quality-Aware Face Recognition

Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition

Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark

State of the Art of Quality Assessment of Facial Images


Windfarm Operations & Maintenance cost-Benefit Analysis Tool


Creative Commons Attribution Share Alike 4.0 International

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

Deep Learning for Classical Japanese Literature

Do We Need Zero Training Loss After Achieving Zero Training Error?

Provably Consistent Partial-Label Learning

Complementary-Label Learning for Arbitrary Losses and Models

Learning with Multiple Complementary Labels

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Pointwise Binary Classification with Pairwise Confidence Comparisons

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks

Bridging Ordinary-Label Learning and Complementary-Label Learning

Learning from Similarity-Confidence Data


Automated deep learning algorithms implemented in PyTorch.

DARTS: Differentiable Architecture Search

Searching for A Robust Neural Architecture in Four GPU Hours

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification

Network Pruning via Transformable Architecture Search

One-Shot Neural Architecture Search via Self-Evaluated Template Network

International Conference on Computer Vision

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

IEEE transactions on pattern analysis and machine intelligence

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Yet Another Intermediate-Level Attack


Bifacial PV View Factor model for system performance calculation


semantic similarity framework for knowledge graph

A survey of ontology learning techniques and applications

Semantic similarity and machine learning with ontologies

Sematch: Semantic Entity Search from Knowledge Graph

A Comparison of Document Similarity Algorithms


An LLM Based Diagnosis System  (https://arxiv.org/pdf/2312.01454.pdf)

DB-GPT: Large Language Model Meets Database

LLM As DBA

LLM-Enhanced Data Management

D-Bot: Database Diagnosis System using Large Language Models


int8_t and int16_t matrix multiply based on https://arxiv.org/abs/1705.01991

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU

Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task

Workshop on Neural Generation and Translation

Compressing Neural Machine Translation Models with 4-bit Precision

Efficient Machine Translation with Model Pruning and Quantization

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task

Empirical Methods in Natural Language Processing


A collection of scripts to assist in the retrieval of data from the ENA Browser

The European Nucleotide Archive in 2021

Insights from Bacillus anthracis strains isolated from permafrost in the tundra zone of Russia

Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir

mBodyMap: a curated database for microbes across human body and their associations with health and diseases

Discovery of the Pseudomonas Polyyne Protegencin by a Phylogeny-Guided Study of Polyyne Biosynthetic Gene Cluster Diversity

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Mr.Vc v2: An updated version of database with increased data of transcriptome and experimental validated interactions

Bamboozle: A bioinformatic tool for identification and quantification of intraspecific barcodes


Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI

Global signal regression strengthens association between resting-state functional connectivity and behavior

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior

The default network of the human brain is associated with perceived social isolation

Predicting Alzheimer’s disease progression using deep recurrent neural networks

Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

When makes you unique: Temporality of the human brain fingerprint


Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

Robust Learning in Random Subspaces: Equipping NLP for OOV Effects

International Conference on Computational Linguistics

Part-of-speech tagging with antagonistic adversaries

Zipfian corruptions for robust POS tagging

North American Chapter of the Association for Computational Linguistics

UniParse: A universal graph-based parsing toolkit

Word Representations, Tree Models and Syntactic Functions


Source codes of our paper in CVPR 2019:  Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

Meta-learning with differentiable closed-form solvers

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning

Tensor feature hallucination for few-shot learning

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations


Exposing DeepFake Videos By Detecting Face Warping Artifacts

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

A Novel Counterfeit Feature Extraction Technique for Exposing Face-Swap Images Based on Deep Learning and Error Level Analysis

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Exposing Face-Swap Images Based on Deep Learning and ELA Detection

The 5th International Electronic Conference on Entropy and Its Applications

How Generalizable are Deepfake Image Detectors? An Empirical Study


Merge transcriptome assemblies

De novo assembly, characterization, functional annotation and expression patterns of the black tiger shrimp (Penaeus monodon) transcriptome

Widespread patterns of sexually dimorphic gene expression in an avian hypothalamic–pituitary–gonadal (HPG) axis

Severe acute dehydration in a desert rodent elicits a transcriptional response that effectively prevents kidney injury

Combining independent de novo assemblies to optimize leaf transcriptome of Persian walnut

Comparative Genomics of Color Morphs In the Coral Montastraea cavernosa

De novo transcriptome assembly of the Southern Ocean copepod Rhincalanus gigas sheds light on developmental changes in gene expression.

The Significance of Genotypic Diversity in Coral Competitive Interaction: A Transcriptomic Perspective

Differential Expression in Testis and Liver Transcriptomes from Four Species of Peromyscus (Rodentia: Cricetidae)

Transcriptomic analyses reveal tissue-specific selection on genes related to apoptotic processes in the subterranean rodent, Ctenomys sociabilis


Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

Bridging the Gap to Real-World Object-Centric Learning

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Weighted Ensemble Self-Supervised Learning

DINO as a von Mises-Fisher mixture model

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes


Code for the paper Fine-Tuning Language Models from Human Preferences

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Aligning Large Multimodal Models with Factually Augmented RLHF

SALMON: Self-Alignment with Instructable Reward Models

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision


HYDrodynamics and RADiation Code for computing solutions to field-aligned hydrodynamic equations in coronal loops

Interrogating solar flare loop models with IRIS observations 1: Overview of the models, and mass flows

Geometric Assumptions in Hydrodynamic Modeling of Coronal and Flaring Loops

Delayed Development of Cool Plasmas in X-ray Flares from kappa1 Ceti

Understanding the Duration of Solar and Stellar Flares at Various Wavelengths

Mass Flows in Expanding Coronal Loops

Tracking X-Ray Source Movement in a Retracting Flux Tube


FMA: A Dataset For Music Analysis

FMA: A Dataset For Music Analysis

LLark: A Multimodal Foundation Model for Music

EnCoD: Distinguishing Compressed and Encrypted File Fragments

Learning to Recognize Musical Genre from Audio

MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task

Transactions of the International Society for Music Information Retrieval

Reliable Detection of Compressed and Encrypted Data

Nyström Kernel Mean Embeddings

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Classical Music Specific Mood Automatic Recognition Model Proposal


Agent techniques to augment your LLM and push it beyong its limits

Generative Agents: Interactive Simulacra of Human Behavior

Self-Refine: Iterative Refinement with Self-Feedback

AutoAttacker: A Large Language Model Guided System to Implement
  Automatic Cyber-attacks

Agent Design Pattern Catalogue: A Collection of Architectural Patterns
  for Foundation Model based Agents


MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

Unsupervised Opinion Summarization with Noising and Denoising

Unsupervised Opinion Summarization with Content Planning

Self-Supervised and Controlled Multi-Document Opinion Summarization

TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization

Comparative Opinion Summarization via Collaborative Decoding

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization


Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

RetroGraph: Retrosynthetic Planning with Graph Search

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

Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


BARTScore: Evaluating Generated Text as Text Generation

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

Human-like Summarization Evaluation with ChatGPT

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering

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


Graphonomy: Universal Human Parsing via Graph Transfer Learning

Fashion Meets Computer Vision: A Survey

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Exploring the Robustness of Human Parsers Towards Common Corruptions


Synteny and Rearrangement Identifier

Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus

SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies

Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa

Pangenomic analysis identifies structural variation associated with heat tolerance in pearl millet

Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons

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

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

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

Chromosome-Level Genome Assembly and Population GE-Nomic Analyses Reveal Geographic Variation and Population Genetic Structure of Prunus tenella

International journal of molecular sciences

Haplotype-resolved T2T reference genomes for wild and domesticated accessions shed new insights into the domestication of jujube

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

bioRxiv : the preprint server for biology


Sanitation System Alternative Generator


Official implementation of Earthformer

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

PreDiff: Precipitation Nowcasting with Latent Diffusion Models


Deep generative models of 3D grids for structure-based drug discovery

Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models

Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models

Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models

Docking-based generative approaches in the search for new drug candidates

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

Benchmarking structure-based three-dimensional molecular generative
  models using GenBench3D: ligand conformation quality matters


Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Learning by Abstraction: The Neural State Machine

Attention on Abstract Visual Reasoning

Differentiable Adaptive Computation Time for Visual Reasoning

Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning


Rotation-Based Iterative Gaussianization algorithm.

Iterative Gaussianization: from ICA to Random Rotations

Information Theory Measures via Multidimensional Gaussianization

Information Theory in Density Destructors

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis

Geostatistics in the Presence of Multivariate Complexities: Comparison of Multi-Gaussian Transforms


A ROS wrapper for trajectory planning based on motion primitives

Search-based Motion Planning for Aggressive Flight in SE(3)

MADER: Trajectory Planner in Multiagent and Dynamic Environments

Towards Search-based Motion Planning for Micro Aerial Vehicles


Rule-based facts extraction for Russian language

Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system


tsl: a PyTorch library for processing spatiotemporal data.

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

Graph-based Forecasting with Missing Data through Spatiotemporal
  Downsampling

Kernel Based Reconstruction for Generalized Graph Signal Processing


MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies

Universal whole-sequence-based plasmid typing and its utility to prediction of host range and epidemiological surveillance

Analysis of COMPASS, a New Comprehensive Plasmid Database Revealed Prevalence of Multireplicon and Extensive Diversity of IncF Plasmids

Zenodo (CERN European Organization for Nuclear Research)

Epidemiology of Plasmids in Escherichia coli and Klebsiella pneumoniae with Acquired Extended Spectrum Beta-Lactamase Genes Isolated from Chronic Wounds in Ghana

Dissection of Highly Prevalent qnrS1-Carrying IncX Plasmid Types in Commensal Escherichia coli from German Food and Livestock

Comparative Genomic Analysis of Enterococci across Sectors of the One Health Continuum

Molecular Evolution and Genomic Insights into Community-Acquired Methicillin-Resistant Staphylococcus aureus Sequence Type 88

Antibiotic resistance begets more resistance: chromosomal resistance mutations mitigate fitness costs conferred by multi-resistant clinical plasmids

Raw meat-based diet for pets: a neglected source of human exposure to Salmonella and pathogenic Escherichia coli clones carrying mcr, Portugal, September 2019 to January 2020

Genomic Characterization of Carbapenem-Resistant Bacteria from Beef Cattle Feedlots


Rapid comparison and dereplication of genomes

Disinfection exhibits systematic impacts on the drinking water microbiome

Genome-resolved metagenomics using environmental and clinical samples

dRep: A tool for fast and accurate genome de-replication that enables tracking of microbial genotypes and improved genome recovery from metagenomes

Comparative Genomics Reveals Insights into Induction of Violacein Biosynthesis and Adaptive Evolution in Janthinobacterium

Hadza Prevotella Require Diet-derived Microbiota Accessible Carbohydrates to Persist in mice.

Methylomonadaceae was the active and dominant methanotroph in Tibet lake sediments

Construction of high-quality genomes and gene catalogue for culturable microbes of sugarcane (Saccharum spp.)


Open mesh-to-mesh registration framework

Insights into the genetic architecture of the human face

MeshMonk: Open-source large-scale intensive 3D phenotyping

Precise modulation of transcription factor levels identifies features underlying dosage sensitivity

Precise modulation of transcription factor levels reveals drivers of dosage sensitivity

Three-dimensional facial capture using a custom-built photogrammetry setup: Design, performance, and cost.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics


Phylogenetic Investigation of Communities by Reconstruction of Unobserved STates (PICRUST): Official repository for software and unit tests

Characterization of Bacterial and Fungal Community Dynamics by High-Throughput Sequencing (HTS) Metabarcoding during Flax Dew-Retting

Diversity and Structure of Bacterial Communities in the Gut of Spider: Thomisidae and Oxyopidae

Analysis of Phyllosphere Microorganisms and Potential Pathogens of Tobacco Leaves

Jia-Wei-Si-Miao-Yong-An decoction modulates intestinal flora and metabolites in acute coronary syndrome model

Apolipoprotein H induces sex-specific steatohepatitis and gut dysbiosis during chronic hepatitis B infection

Differences in Faecal Microbiome Taxonomy, Diversity and Functional Potential in a Bovine Cohort Experimentally Challenged with Mycobacterium avium subsp. paratuberculosis (MAP)

Animals : an open access journal from MDPI

Characterization of the Fecal Microbiota in Gastrointestinal Cancer Patients and Healthy Controls


Python tools for MW link data processing

Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area

Bulletin of the American Meteorological Society

A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Towards Innovative Solutions for Monitoring Precipitation in Poorly Instrumented Regions: Real-Time System for Collecting Power Levels of Microwave Links of Mobile Phone Operators for Rainfall Quantification in Burkina Faso


An R Framework for Climate Data Access and Post-processing

Configuration and intercomparison of deep learning neural models for statistical downscaling

Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch

Anthropogenic climate change impacts exacerbate summer forest fires in California

CLIMBra - Climate Change Dataset for Brazil

Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan


Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes

Reconstructing a hydrogen-driven microbial metabolic network in Opalinus Clay rock

Large scale genome reconstructions illuminate Wolbachia evolution

Disinfection exhibits systematic impacts on the drinking water microbiome

Metagenomic Evidence for a Methylocystis Species Capable of Bioremediation of Diverse Heavy Metals

Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements

Bioinformatic approaches for studying the microbiome of fermented food

Adjunctive Probio-X Treatment Enhances the Therapeutic Effect of a Conventional Drug in Managing Type 2 Diabetes Mellitus by Promoting Short-Chain Fatty Acid-Producing Bacteria and Bile Acid Pathways

Genomic and phenotypic analyses of diverse non-clinical Acinetobacter baumannii strains reveals strain-specific virulence and resistance capacity

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

Lacticaseibacillus rhamnosus Probio-M9-Driven Mouse Mammary Tumor-Inhibitory Effect Is Accompanied by Modulation of Host Gut Microbiota, Immunity, and Serum Metabolome


:dancer: :palm_tree: LYVE-SET, a method of using hqSNPs to create a phylogeny, especially for outbreak investigations

A Comparative Analysis of the Lyve-SET Phylogenomics Pipeline for Genomic Epidemiology of Foodborne Pathogens

Characterization of Emetic and Diarrheal Bacillus cereus Strains From a 2016 Foodborne Outbreak Using Whole-Genome Sequencing: Addressing the Microbiological, Epidemiological, and Bioinformatic Challenges

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Genomic Analysis of a Pan-Resistant Isolate of Klebsiella pneumoniae, United States 2016

Protracted Outbreak of Salmonella Newport Infections Linked to Ground Beef: Possible Role of Dairy Cows — 21 States, 2016–2017

MMWR. Morbidity and mortality weekly report

Cronobacter sakazakii Infections in Two Infants Linked to Powdered Infant Formula and Breast Pump Equipment - United States, 2021 and 2022.

Use of whole genome sequencing to complement characterisation of a typhoid fever outbreak among a Marshallese community: Oklahoma, 2015

Bacterial Whole Genome Sequencing inInvestigation of Salmonella OranienburgInfection Outbreak, Missouri, USA


Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.

High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing

CYTOR Facilitates Formation of FOSL1 Phase Separation and Super Enhancers to Drive Metastasis of Tumor Budding Cells in Head and Neck Squamous Cell Carcinoma

Single-cell RNA-sequencing uncovers the dynamic changes of tumour immune microenvironment in advanced lung adenocarcinoma


Global shoreline mapping tool from satellite imagery

CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

Interannual Response of Reef Islands to Climate-Driven Variations in Water Level and Wave Climate

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments

Large regional variability in coastal erosion caused by ENSO

Training data for: CoastSat image classification

Time-series of shoreline change along the Pacific Rim

Time-series of shoreline change for the Klamath River Littoral Cell (California)


Renewable Energy Integration Simulation Engine


Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.


An AI to compete live in Ghana’s National Science and Maths Quiz competition

Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education

Towards an AI to Win Ghana's National Science and Maths Quiz

Brilla AI: AI Contestant for the National Science and Maths Quiz


Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Energy and Policy Considerations for Deep Learning in NLP

Show Your Work: Improved Reporting of Experimental Results

Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings

Understanding Horizon 2020 Data: A Knowledge Graph-Based Approach

Parmesan: mathematical concept extraction for education

Hierarchical Attention Transformer Architecture For Syntactic Spell Correction

Identifying Early Warning Signals from News Using Network Community Detection


Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Learning to Filter Context for Retrieval-Augmented Generation

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

PST-Bench: Tracing and Benchmarking the Source of Publications

LimGen: Probing the LLMs for Generating Suggestive Limitations of
  Research Papers


Experimentation procedure for Iterative Optimization Heuristics

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler

Extensible Logging and Empirical Attainment Function for IOHexperimenter


An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

Empirical Estimation of the Energy Impacts of Projects Installed through Residential Property Assessed Clean Energy Financing Programs in California


A Python wrapper for Google Tesseract

It Takes Two to TANGO: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

Deep learning-based NLP data pipeline for EHR-scanned document information extraction

Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication

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

MailTrout: A Machine Learning Browser Extension for Detecting Phishing Emails

Multimodal Pipeline for Collection of Misinformation Data from Telegram

Reddit financial image post sentiment dataset

Chandojnanam: A Sanskrit Meter Identification and Utilization System

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

Assisting News Media Editors with Cohesive Visual Storylines

Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision


Spatio Temporal Affinity Fields (CVPR 2019)

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

A Review on Human Pose Estimation


Porting caffe to android platform

AI Benchmark: Running Deep Neural Networks on Android Smartphones

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

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

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

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

Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras

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

Efficient Incremental Learning for Mobile Object Detection

Yum-me: Personalized Healthy Meal Recommender System.


Semi-supervised learning with graph embeddings

Semi-Supervised Classification with Graph Convolutional Networks

Revisiting Semi-Supervised Learning with Graph Embeddings

Deep Graph Contrastive Representation Learning

Network Representation Learning: A Survey

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

Graph-based Semi-supervised Learning: A Comprehensive Review

Policy-GNN: Aggregation Optimization for Graph Neural Networks

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Higher-order Structure Based Anomaly Detection on Attributed Networks

Semi-supervised Anomaly Detection on Attributed Graphs


A web client that scrapes YouTube comments

Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion

Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media

Multilingual hope speech detection in English and Dravidian languages

International journal of data science and analytics

MHE: Code-Mixed Corpora for Similar Language Identification

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis


R package for transfer learning of single-cell RNA-seq denoising

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest

Local environmental context drives heterogeneity of early succession dynamics in alpine glacier forefields

A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images

Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas


AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations


DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

Auditory deep sleep stimulation in older adults at home: a randomized crossover trial

Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG

Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms


Phylogenetic analysis of multi-species genome sequence alignments to identify conserved protein-coding regions

Non-coding RNAs and Their Roles in Stress Response in Plants

基因组蛋白质组与生物信息学报

Advances in long noncoding RNAs: identification, structure prediction and function annotation

Retraction Note to: Decreased expression of the long noncoding RNA LINC00261 indicate poor prognosis in gastric cancer and suppress gastric cancer metastasis by affecting the epithelial–mesenchymal transition

Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci

LncRNA ADAMTS9-AS2 inhibits cell proliferation and decreases chemoresistance in clear cell renal cell carcinoma via the miR-27a-3p/FOXO1 axis

Analysis of Soybean Long Non-Coding RNAs Reveals a Subset of Small Peptide-Coding Transcripts1[OPEN]

A high-content RNAi screen reveals multiple roles for long noncoding RNAs in cell division

Evolutionary Dynamics of Abundant Stop Codon Readthrough

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

Circular RNAs in the cardiovascular system


Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

ImageNet-21K Pretraining for the Masses

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers


PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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

Addressing Function Approximation Error in Actor-Critic Methods

Memory-based control with recurrent neural networks


Large Language Models Are Human-Level Prompt Engineers

Context-faithful Prompting for Large Language Models

AutoHint: Automatic Prompt Optimization with Hint Generation

Are Large Language Models Good Prompt Optimizers?

Efficient Prompting Methods for Large Language Models: A Survey

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

Prompt Optimization via Adversarial In-Context Learning


Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Neural Paraphrase Generation with Stacked Residual LSTM Networks

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Retrieval-based Goal-Oriented Dialogue Generation


CUDA-Warp RNN-Transducer

Speech Recognition with Deep Recurrent Neural Networks

Sequence Transduction with Recurrent Neural Networks

Synchronous Transformers for End-to-End Speech Recognition

Cross Attention Augmented Transducer Networks for Simultaneous Translation

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

BAT: Boundary aware transducer for memory-efficient and low-latency ASR


Modules for processing extracellular electrophysiology data from Neuropixels probes

SpikeInterface, a unified framework for spike sorting

A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement

Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology

High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons.

Influence of claustrum on cortex varies by area, layer, and cell type

Distributed coding of duration in rodent prefrontal cortex during time reproduction

Differential ripple propagation along the hippocampal longitudinal axis

WaveMAP for identifying putative cell types from in vivo electrophysiology


The CosmoSIS parameter estimation library.

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

Constraining the baryonic feedback with cosmic shear using the DES Year-3 small-scale measurements

Monthly Notices of the Royal Astronomical Society

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters

Optical Cluster Cosmology with SDSS redMaPPer clusters and HSC-Y3 lensing measurements

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


Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

Efficient Graph Deep Learning in TensorFlow with tf_geometric

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation


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

SlimPajama-DC: Understanding Data Combinations for LLM Training

BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model


Convert TensorFlow Lite models (*.tflite) to ONNX.

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition

Model-less Is the Best Model: Generating Pure Code Implementations to
  Replace On-Device DL Models


Fast and accurate gene fusion detection from RNA-Seq data

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Enhancer hijacking activates oncogenic transcription factor NR4A3 in acinic cell carcinomas of the salivary glands

The landscape of chromothripsis across adult cancer types

Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma

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

Computational Oncology in the Multi-Omics Era: State of the Art

The international and intercontinental spread and expansion of antimicrobial-resistant Salmonella Typhi: a genomic epidemiology study

Unscrambling cancer genomes via integrated analysis of structural variation and copy number

Next-Generation Sequencing Approaches for the Identification of Pathognomonic Fusion Transcripts in Sarcomas: The Experience of the Italian ACC Sarcoma Working Group

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

NeoFuse: predicting fusion neoantigens from RNA sequencing data


This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Sato: Contextual Semantic Type Detection in Tables


diploid SNV caller for error-prone reads

Evaluation of the Available Variant Calling Tools for Oxford Nanopore Sequencing in Breast Cancer

Sequencing of Monkeypox virus from infected patients reveals viral genomes with APOBEC3-like editing, gene inactivation, and bacterial agents of skin superinfection

Longshot: accurate variant calling in diploid genomes using single-molecule long read sequencing

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq


Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.


Clarity Challenge toolkit - software for building Clarity Challenge systems

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss

Syllable-rate-adjusted-modulation (SRAM) predicts clear and conversational speech intelligibility


:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

Towards latent space based manipulation of elastic rods using autoencoder models and robust centerline extractions

Improving the reliability of photometric redshift with machine learning

Monthly notices of the Royal Astronomical Society

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis

A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff

Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics


emoji terminal output for Python

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

North American Chapter of the Association for Computational Linguistics

RoBERTuito: a pre-trained language model for social media text in Spanish

Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL

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

An Experimental Analysis of Data Annotation Methodologies for Emotion Detection in Short Text Posted on Social Media

Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks

Bernice: A Multilingual Pre-trained Encoder for Twitter

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


Graph theory (network) library for visualisation and analysis

The ConsensusPathDB interaction database: 2013 update

Cytoscape.js: a graph theory library for visualisation and analysis

Cytoscape.js 2023 update: a graph theory library for visualization and analysis

Open source libraries and frameworks for biological data visualisation: A guide for developers

Nicotiana attenuata Data Hub (NaDH): an integrative platform for exploring genomic, transcriptomic and metabolomic data in wild tobacco

Four drug metabolism-related subgroups of pancreatic adenocarcinoma in prognosis, immune infiltration, and gene mutation


ModelScope: bring the notion of Model-as-a-Service to life.

Adding Conditional Control to Text-to-Image Diffusion Models

GLM-130B: An Open Bilingual Pre-trained Model

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Composer: Creative and Controllable Image Synthesis with Composable Conditions

ModelScope Text-to-Video Technical Report

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

AnyDoor: Zero-shot Object-level Image Customization

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video


Explainability for Vision Transformers

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

Training data-efficient image transformers & distillation through attention

Quantifying Attention Flow in Transformers

Epileptic seizure detection by using interpretable machine learning models

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition


Neural Attention Model for Abstractive Summarization

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Pointing the Unknown Words

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Selective Encoding for Abstractive Sentence Summarization

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

Revisiting Self-Training for Neural Sequence Generation

Controlling Output Length in Neural Encoder-Decoders

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Neural Headline Generation on Abstract Meaning Representation

Empirical Methods in Natural Language Processing

Positional Encoding to Control Output Sequence Length


Inductive Representation Learning on Temporal Graphs

Self-attention with Functional Time Representation Learning

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

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

A Temporal Kernel Approach for Deep Learning with Continuous-time Information


Generates input data for energy models on renewable energy in arbitrary world regions using public datasets. Written in Julia 1.x.

An autopilot for energy models -- automatic generation of renewable supply curves, hourly capacity factors and hourly synthetic electricity demand for arbitrary world regions

OSeMOSYS Global: An open-source, open data global electricity system model generator

MENA compared to Europe: The influence of land use, nuclear power, and transmission expansion on renewable electricity system costs


A lightweight suffix-sorting library

Refining the r-index

Computing All Distinct Squares in Linear Time for Integer Alphabets

Dismantling DivSufSort

Compression with the tudocomp Framework

Lempel-Ziv-like Parsing in Small Space

Improving Run Length Encoding by Preprocessing

Gclust: A Parallel Clustering Tool for Microbial Genomic Data

基因组蛋白质组与生物信息学报

Space Efficient Construction of Lyndon Arrays in Linear Time

Grammar Compression By Induced Suffix Sorting

TOPAZ: asymmetric suffix array neighbourhood search for massive protein databases


A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Training Data Protection with Compositional Diffusion Models

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?


Sequence modeling benchmarks and temporal convolutional networks

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

TS2Vec: Towards Universal Representation of Time Series

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

Stable Recurrent Models

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

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

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

A Survey on Time-Series Pre-Trained Models

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis


Codes for paper "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis"

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Neuro-Inspired Information-Theoretic Hierarchical Perception for
  Multimodal Learning


Code release for SLIP Self-supervision meets Language-Image Pre-training

SLIP: Self-supervision meets Language-Image Pre-training

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

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

Contrastive language and vision learning of general fashion concepts

Hyperbolic Image-Text Representations

Attentive Mask CLIP

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders

Boosting Visual-Language Models by Exploiting Hard Samples

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


Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

Text Summarization with Oracle Expectation

Post-Editing Extractive Summaries by Definiteness Prediction

Findings of the Association for Computational Linguistics: EMNLP 2021


[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

PriSampler: Mitigating Property Inference of Diffusion Models

CTSyn: A Foundational Model for Cross Tabular Data Generation


Implementation of Convolutional LSTM in PyTorch.

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

A Probabilistic Time-Evolving Approach to Scanpath Prediction

Latent State Inference in a Spatiotemporal Generative Model


Haplotype phasing software

Comparative genetic architectures of schizophrenia in East Asian and European populations

Accurate, scalable and integrative haplotype estimation

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into the complex genetic architecture

Integrative haplotype estimation with sub-linear complexity

Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction


Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Stance Detection in Web and Social Media: A Comparative Study

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

AUGER: Automatically Generating Review Comments with Pre-training Models

STAN: Towards Describing Bytecodes of Smart Contract

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of Network and Computer Applications

Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

Zenodo (CERN European Organization for Nuclear Research)

Impersonation on Social Media: A Deep Neural Approach to Identify Ingenuine Content

Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation

SHAP Interpretations of Tree and Neural Network DNS Classifiers for Analyzing DGA Family Characteristics


Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Robust log-based anomaly detection on unstable log data

Proceedings of the 44th International Conference on Software Engineering

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection

An Empirical Study on Log-based Anomaly Detection Using Machine Learning


A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Teacher-Student Compression with Generative Adversarial Networks

A Methodology for Training Homomorphic Encryption Friendly Neural Networks

Instance-based Label Smoothing For Better Calibrated Classification Networks

Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN.

Combine-Net: An Improved Filter Pruning Algorithm

MEA-Defender: A Robust Watermark against Model Extraction Attack


R2D2: Repeatable and Reliable Detector and Descriptor

Robust Image Retrieval-based Visual Localization using Kapture

Asynchronous Multi-View SLAM

Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

ISPRS International Journal of Geo-Information

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes


paprica - PAthway PRediction by phylogenetIC plAcement

Microbial Communities Can Be Described by Metabolic Structure: A General Framework and Application to a Seasonally Variable, Depth-Stratified Microbial Community from the Coastal West Antarctic Peninsula

Sensitivity of the mangrove-estuarine microbial community to aquaculture effluent

Machine Learning Predicts Biogeochemistry from Microbial Community Structure in a Complex Model System

Understanding Microbial Community Dynamics in Up-Flow Bioreactors to Improve Mitigation Strategies for Oil Souring

From microbial community structure to metabolic inference using paprica

Detection of Sulfate-Reducing Bacteria as an Indicator for Successful Mitigation of Sulfide Production


Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

Learning Curves for Analysis of Deep Networks

Classification of Tennis Shots with a Neural Network Approach

Extending the SAGA Survey (xSAGA). I. Satellite Radial Profiles as a Function of Host-galaxy Properties

HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image

A two-stage stacked-based heterogeneous ensemble learning for cancer survival prediction

On Improving an Already Competitive Segmentation Algorithm for the Cell Tracking Challenge - Lessons Learned


Neural Attentional Rating Regression with Review-level Explanations

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

On Sampled Metrics for Item Recommendation

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

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

Neural Personalized Ranking for Image Recommendation

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

Pessimistic Reward Models for Off-Policy Learning in Recommendation

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

“Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface


[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

PIXOR: Real-time 3D Object Detection from Point Clouds

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds

The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception


Tensorflow + Molecules = TensorMol

Generating Sequences With Recurrent Neural Networks

Machine Learning Force Fields

Recent advances and applications of deep learning methods in materials science

Metadynamics for training neural network model chemistries: A competitive assessment

Machine learning in materials modeling—fundamentals and the opportunities in 2D materials


Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Deformable Convolutional Networks

Deformable ConvNets v2: More Deformable, Better Results

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Target Detection and Classification Performance Enhancement Using Superresolution Infrared Videos

A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms


A micro-benchmark suite to assess the stability of taint-analysis tools for Android

I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis

Ghera: A Repository of Android App Vulnerability Benchmarks

Predictive Models in Software Engineering

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

Security code smells in Android ICC

Revisiting the impact of common libraries for android-related investigations

IIFA: Modular Inter-app Intent Information Flow Analysis of Android Applications

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

Feature importance in Android malware detection

Trust, Security And Privacy In Computing And Communications

Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques

ACM Transactions on Privacy and Security

DexLego: Reassembleable Bytecode Extraction for Aiding Static Analysis


auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Multimodal Deep Learning Models for Detecting Dementia From Speech and Transcripts

Face mask recognition from audio: The MASC database and an overview on the mask challenge

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

Classification of Speech with and without Face Mask using Acoustic Features

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech


[DEPRECATED] Security Scanner for Ethereum Smart Contracts

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

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Detecting nondeterministic payment bugs in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

A security framework for Ethereum smart contracts

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum

The Good, The Bad and The Ugly: Pitfalls and Best Practices in Automated Sound Static Analysis of Ethereum Smart Contracts

Leveraging Applications of Formal Methods

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

HoRStify: Sound Security Analysis of Smart Contracts

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing


Web scraper for Atlantic and east Pacific hurricanes and tropical storms


Building Machine Translation Systems for the Next Thousand Languages

Finite-state script normalization and processing utilities: The Nisaba Brahmic library

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Extensions to Brahmic script processing within the Nisaba library: new scripts, languages and utilities

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Graphemic Normalization of the Perso-Arabic Script

Beyond Arabic: Software for Perso-Arabic Script Manipulation

Criteria for Useful Automatic Romanization in South Asian Languages


Black-box Optimizer based on Bayesian Optimization

OpenBox: A Generalized Black-box Optimization Service

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Bayesian Optimization with a Prior for the Optimum

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

Prior-guided Bayesian Optimization

HypBO: Expert-Guided Chemist-in-the-Loop Bayesian Search for New Materials


Libraries and utilities to develop performance portable applications for weather and climate.

Domain-Specific Multi-Level IR Rewriting for GPU

PeleC: An adaptive mesh refinement solver for compressible reacting flows

The international journal of high performance computing applications

AIMES: Advanced Computation and I/O Methods for Earth-System Simulations

Software for Exascale Computing - SPPEXA 2016-2019


PSFs In the Full FOV.  A software package for modeling the point-spread function (PSF) across the full field of view (FOV).  Documentation:

Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Dark Energy Survey year 3 results: point spread function modelling

Monthly Notices of the Royal Astronomical Society

The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

Publications of the Astronomical Society of Japan

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences

Optimizing LSST observing strategy for weak lensing systematics


Efficient computing methods developed by Huawei Noah's Ark Lab

Data-Free Learning of Student Networks

Data-Free Knowledge Distillation for Deep Neural Networks

ReNAS: Relativistic Evaluation of Neural Architecture Search

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Data-Free Knowledge Distillation For Image Super-Resolution

Positive-Unlabeled Compression on the Cloud

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

Masked Image Modeling with Local Multi-Scale Reconstruction

Multiscale Positive-Unlabeled Detection of AI-Generated Texts

Learning Student Networks in the Wild