Pytorch domain library for recommendation systems

BARS: Towards Open Benchmarking for Recommender Systems

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems

Pre-train and Search: Efficient Embedding Table Sharding with
  Pre-trained Neural Cost Models

Recent Advances in RecBole: Extensions with more Practical
  Considerations

BagPipe: Accelerating Deep Recommendation Model Training

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

A Frequency-aware Software Cache for Large Recommendation System
  Embeddings


Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

Data Management in Microservices: State of the Practice, Challenges, and Research Directions

On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study

PROCEEDINGS OF EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING (EASE 2021)

Detector-based component model abstraction for microservice-based systems

Zenodo (CERN European Organization for Nuclear Research)

An Empirical Study of Security Practices for Microservices Systems

Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors

Event-Based Customization of Multi-tenant SaaS Using Microservices

Assessing Architecture Conformance to Coupling-Related Infrastructure-as-Code Best Practices: Metrics and Case Studies

Avoiding Excessive Data Exposure Through Microservice APIs

Benchmarks for End-to-End Microservices Testing


Characterising Deprecated Android APIs

On tracking Java methods with Git mechanisms

Journal of systems and software/The Journal of systems and software

Automating Program Transformation for Java Using Semantic Patches

HAL (Le Centre pour la Communication Scientifique Directe)

DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea

On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation

International Conference on Software Engineering


Fast key-value DB in Go.

Enabling Efficient Updates in KV Storage via Hashing: Design and Performance Evaluation

DVID: Distributed Versioned Image-Oriented Dataservice

Proteus: A Self-Designing Range Filter

Proceedings of the 2022 International Conference on Management of Data

Short Paper: Debt Representation in UTXO Blockchains


Industrial-strength Natural Language Processing (NLP) in Python

Dice Loss for Data-imbalanced NLP Tasks

Scaling Up Vision-Language Pre-training for Image Captioning

Align and Prompt: Video-and-Language Pre-training with Entity Prompts

Content Selection in Deep Learning Models of Summarization

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Training Classifiers with Natural Language Explanations

SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding


Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

DevReplay: Automatic Repair with Editable Fix Pattern

Backports

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

Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models


Streamlit — A faster way to build and share data apps.

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization

Stmol: A component for building interactive molecular visualizations within streamlit web-applications

Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International journal of artificial intelligence and machine learning


Apache CXF

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Multi-Granularity Detector for Vulnerability Fixes

How well does LLM generate security tests?

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study


Graphs for Everyone

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking

neuPrint: Analysis Tools for EM Connectomics

A comprehensive study of bloated dependencies in the Maven ecosystem

An Automatically Created Novel Bug Dataset and its Validation in Bug Prediction

CORE: Automating Review Recommendation for Code Changes

Towards Learning Instantiated Logical Rules from Knowledge Graphs

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation

A Faster Algorithm for Betweenness Centrality Based on Adjacency
  Matrices

GDsmith: Detecting Bugs in Graph Database Engines


Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

MoleculeNet: a benchmark for molecular machine learning

Opportunities and obstacles for deep learning in biology and medicine

Low Data Drug Discovery with One-Shot Learning

Artificial intelligence in drug discovery and development

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Recent advances and applications of deep learning methods in materials science

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

To Embed or Not: Network Embedding as a Paradigm in Computational Biology


General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Putting the Semantics into Semantic Versioning

Towards Generating Functionally Correct Code Edits from Natural Language
  Issue Descriptions

How do developers deal with security issue reports on GitHub?

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

How well does LLM generate security tests?


A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

How To Backdoor Federated Learning

Pyro: Deep Universal Probabilistic Programming

fastai: A Layered API for Deep Learning

Lookahead Optimizer: k steps forward, 1 step back

Revisiting Knowledge Distillation via Label Smoothing Regularization

Self-Challenging Improves Cross-Domain Generalization

Colorless green recurrent networks dream hierarchically

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes


Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

Santa Claus Algorithm: Agent-Based Consensus Preprocessing Method for Scalability Improvement in Private Blockchain Environment

Blockchain Consensus Protocols in the Wild

Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things

Rethinking Permissioned Blockchains

Smart Contract Templates: foundations, design landscape and research
  directions

Blockchain for drug traceability: Architectures and open challenges

Non-determinism in Byzantine Fault-Tolerant Replication

Smart Contract Templates: essential requirements and design options

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).

Blockchains vs. Distributed Databases: Dichotomy and Fusion


A flexible, high-performance serving system for machine learning models

TensorFlow-Serving: Flexible, High-Performance ML Serving

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

TF.Learn: TensorFlow's High-level Module for Distributed Machine
  Learning

Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

The machine learning life cycle and the cloud: implications for drug discovery

DELTA: A DEep learning based Language Technology plAtform

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

PAUSE: Positive and Annealed Unlabeled Sentence Embedding


VIC-Res: Representation of water reservoir storage and operations in the Variable Infiltration Capacity (VIC) model

On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments

Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia


Benchmarking treewidth as a practical component of tensor network simulations

Positive-Instance Driven Dynamic Programming for Graph Searching

A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth


This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning"

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

International Conference on Multimodal Interfaces

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data

Transformer Networks for Data Augmentation of Human Physical Activity Recognition


Feature Decay Algorithms

The NiuTrans Machine Translation Systems for WMT20

Empirical Methods in Natural Language Processing

Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems

Workshop on Statistical Machine Translation

ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics


Processed datasets that we have used in our research

Label-Only Membership Inference Attacks

Unleashing the Power of Randomization in Auditing Differentially Private
  ML

Re-aligning Shadow Models can Improve White-box Membership Inference
  Attacks

On the Privacy Effect of Data Enhancement via the Lens of Memorization


Training data-efficient image transformers & distillation through attention

Emerging Properties in Self-Supervised Vision Transformers

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

CvT: Introducing Convolutions to Vision Transformers

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Going deeper with Image Transformers

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

Rethinking Spatial Dimensions of Vision Transformers

DeepViT: Towards Deeper Vision Transformer


An arxiv spider

Understanding the World Through Action

Uniformly Conservative Exploration in Reinforcement Learning

False Correlation Reduction for Offline Reinforcement Learning


A Matlab GUI for rendering 3D mouse brain structures

Mesoscale microscopy and image analysis tools for understanding the brain

Progress in biophysics and molecular biology

Histological E-data Registration in rodent Brain Spaces

Mesoscale microscopy for micromammals: image analysis tools for understanding the rodent brain


Character-level Convolutional Networks for Text Classification

Making Pre-trained Language Models Better Few-shot Learners

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

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts


Invertible Residual Networks

Residual Flows for Invertible Generative Modeling

Invertible DenseNets with Concatenated LipSwish


Accurate microsatellite genotypes from high-throughput resequencing data

Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

ZDHHC3 as a Risk and Mortality Marker for Breast Cancer in African American Women

Abundance of ethnically biased microsatellites in human gene regions


Deep Learning for Extreme Multi-label Text Classification

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Learning with Holographic Reduced Representations


Segmented anisotropic ssTEM dataset of neural tissue

Cost-efficient segmentation of electron microscopy images using active learning

Deep learning based domain adaptation for mitochondria segmentation on
  EM volumes

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy


Graph Convolutional Neural Networks with Complex Rational Spectral Filters

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters


[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs

Question Answering Over Temporal Knowledge Graphs

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs


Biomedical Data-to-Text Generation via Fine-Tuning Transformers

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension


PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

Imitating Graph-Based Planning with Goal-Conditioned Policies


state-of-the-art gaze tracking model

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

Few-Shot Adaptive Gaze Estimation

Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

Appearance-Based Gaze Estimation Using Dilated-Convolutions

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

Learning to Personalize in Appearance-Based Gaze Tracking

Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition


This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. Feel free to check my thesis if you're curious or if you're looking for info I haven't documented.

Tacotron: Towards End-to-End Speech Synthesis

Generalized End-to-End Loss for Speaker Verification

Efficient Neural Audio Synthesis


useful bits of code for programming and analysis in R

Sanitation, hookworm, anemia, stunting, and wasting in primary school children in southern Ethiopia: Baseline results from a study in 30 schools

Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls

Ellenberg's indicator values support prediction of suitable habitat for pre-diapause larvae of endangered butterfly Euphydryas aurinia

Collective close calling mediates group cohesion in foraging meerkats via spatially determined differences in call rates

Engagement with narrative characters: the role of social-cognitive abilities and linguistic viewpoint

Discourse processes :/Discourse processes

Laysan albatross exhibit complex behavioral plasticity in the subtropical and subarctic North Pacific Ocean

The missing-VP effect in readers of English as a second language


Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

Speech Recognition with Deep Recurrent Neural Networks

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Attention-Based Models for Speech Recognition

Conformer: Convolution-augmented Transformer for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Jasper: An End-to-End Convolutional Neural Acoustic Model

Listen, Attend and Spell


Meedan's Open Source Arabic/English Translation Memory

Critical Survey of the Freely Available Arabic Corpora

Semantic Similarity of Arabic Sentences with Word Embeddings

Proceedings of the Third Arabic Natural Language Processing Workshop

LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

Meeting of the Association for Computational Linguistics


Pytorch implementation of differentiable group normalization (NeurIPS 2020)

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Graph-based Semi-supervised Learning: A Comprehensive Review

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

Graph Augmentation Learning


This repo provides scripts for converting tensorflow and pytorch models to coreml for variety of tasks. Converted models like efficientDet, mobilenetV3, efficientNet in coreml format is also provided

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Searching for MobileNetV3

EfficientDet: Scalable and Efficient Object Detection

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


EDICT: Exact Diffusion Inversion via Coupled Transformations

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

DITTO: Diffusion Inference-Time T-Optimization for Music Generation

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of
  Diffusion Probabilistic Models


Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.


A PyTorch implementation of Implicit Q-Learning

Offline Reinforcement Learning with Implicit Q-Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling

Survival Instinct in Offline Reinforcement Learning

Improving Offline RL by Blending Heuristics


Implemetatin of Progressive Growing of GANs in PyTorch

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

On the Frequency Bias of Generative Models

Diffeomorphic Counterfactuals with Generative Models

Optimizing Intermediate Representations of Generative Models for Phase
  Retrieval


错别字纠正算法。调用pycorrector接口，使用规则。

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Neural Language Correction with Character-Based Attention

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


A TensorFlow implementation of Graph Wavelet Neural Network

Deep Learning on Graphs: A Survey


An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries . Additionally the program provides the ability to model both site and base specific error, and scripts are provided to train this error model on real datasets. My hope in creating this program is to generate as realistic data as possible to assist in assessing the accuracy of genome assembly tools.

The landscape of somatic mutation in normal colorectal epithelial cells

Assemblathon 1: A competitive assessment of de novo short read assembly methods

GemSIM: general, error-model based simulator of next-generation sequencing data

CLEVER: Clique-Enumerating Variant Finder

Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data

A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data

Variant profiling of evolving prokaryotic populations

AMYCNE: Confident copy number assessment using whole genome sequencing data

Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies


Learning phrase grounding from captioned images through InfoNCE bound on mutual information

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Contrastive Learning for Weakly Supervised Phrase Grounding

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Who's Waldo? Linking People Across Text and Images


A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect Sentiment Quad Prediction as Paraphrase Generation

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction


NOT MY CODE! Zeus trojan horse - leaked in 2011, I am not the author. This repository is for study purposes only, do not message me about your lame hacking attempts.

Deciphering Malware's use of TLS (without Decryption)

Stealthy Malware Traffic - Not as Innocent as It Looks

International Conference on Malicious and Unwanted Software

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Time-Window Based Group-Behavior Supported Method for Accurate Detection of Anomalous Users

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Function Similarity Using Family Context


Weakly Supervised Learning On Images

Exploring the Limits of Weakly Supervised Pretraining

Improving robustness against common corruptions by covariate shift adaptation

If your data distribution shifts, use self-learning

Renmin University of China at TRECVID 2022: Improving Video Search by
  Feature Fusion and Negation Understanding

Beyond In-Domain Scenarios: Robust Density-Aware Calibration


Code for "Multi-task Reinforcement Learning with Soft Modularization"

Multi-Task Reinforcement Learning with Soft Modularization

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

Proceedings of the AAAI Conference on Artificial Intelligence


Assessing syntactic abilities of BERT

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Assessing BERT's Syntactic Abilities

Targeted Syntactic Evaluation of Language Models

Cross-Linguistic Syntactic Evaluation of Word Prediction Models

Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs

Finding patterns in Knowledge Attribution for Transformers


NSL-KDD Dataset

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network

Explaining Network Intrusion Detection System Using Explainable AI Framework

LSTM deep learning method for network intrusion detection system

Journal of engineering & applied sciences/Journal of engineering and applied sciences

Naive Bayes modification for intrusion detection system classification with zero probability

Bulletin of Electrical Engineering and Informatics

Parallel processing using big data and machine learning techniques for intrusion detection

IAES International Journal of Artificial Intelligence (IJ-AI)

RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm

Artificial Neural Network and Genetic Clustering based Robust Intrusion Detection System

International journal of computer applications

Intrusion Detection System Using Deep Learning and Its Application to Wi-Fi Network

IEICE transactions on information and systems

Scalable Peaceman-Rachford Splitting Method with Proximal Terms


Spectre attack against SGX enclave

A Systematic Evaluation of Transient Execution Attacks and Defenses

Raziel: Private and Verifiable Smart Contracts on Blockchains

Using Trusted Execution Environments for Secure Stream Processing of Medical Data

A Secure Cloud with Minimal Provider Trust

It Takes Two to #MeToo - Using Enclaves to Build Autonomous Trusted Systems


The Planheat tool is the heart of the Planheat project (http://planheat.eu/). Composed of several modules, it will help your city to simulate its way to decarbonising its heating and cooling system by showing you economically feasible scenarios.


M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Geometry-based Distance Decomposition for Monocular 3D Object Detection

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision


Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

Multi-Tailed Vision Transformer for Efficient Inference


800,000 step-level correctness labels on LLM solutions to MATH problems

Let's Verify Step by Step

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

Improving Large Language Model Fine-tuning for Solving Math Problems

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models


Pretrained models on CIFAR10/100 in PyTorch

Continual Learning in Deep Networks: an Analysis of the Last Layer

T-Cal: An optimal test for the calibration of predictive models

An Empirical Study on the Intrinsic Privacy of SGD

Learning from Multiple Annotator Noisy Labels via Sample-wise Label
  Fusion

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks

Continual Feature Selection: Spurious Features in Continual Learning

A Bag-of-Prototypes Representation for Dataset-Level Applications

Discrete Infomax Codes for Supervised Representation Learning

Energy-based Automated Model Evaluation

Calibrate to Interpret


Intrinsic Evaluation of pre-trained word embeddings, using large Word Association Dataset: SWOW (Small World of Words)

Efficient Estimation of Word Representations in Vector Space

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

A Survey of Word Embeddings Evaluation Methods

SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings

Workshop on Evaluating Vector-Space Representations for NLP


Synthetic Grid Creation for MATPOWER

Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

On Bus Type Assignments in Random Topology Power Grid Models

Improved Synthetic Power Grid Modeling With Correlated Bus Type Assignments

A Mathematical Programming Solution for Automatic Generation of Synthetic Power Flow Cases

On the Scaling Property of Power Grids

Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

A Novel Algorithm for Statistical Assignment of Transmission Capacities in Synthetic Grid Modeling

Power and Energy Society General Meeting

Statistically Analyzing Power System Network


An initial conditions generator for Gadget, modified from N-GenIC

The BAHAMAS project: Calibrated hydrodynamical simulations for large-scale structure cosmology

Monthly Notices of the Royal Astronomical Society

An efficient implementation of massive neutrinos in non-linear structure formation simulations

The BAHAMAS project: the CMB-large-scale structure tension and the roles of massive neutrinos and galaxy formation

MassiveNuS: cosmological massive neutrino simulations

Journal of Cosmology and Astroparticle Physics

Non-linear evolution of the cosmic neutrino background

The separate and combined effects of baryon physics and neutrino free streaming on large-scale structure

Monthly notices of the Royal Astronomical Society

A hydrodynamical halo model for weak-lensing cross correlations

Connecting the structure of dark matter haloes to the primordial power spectrum

Cosmology with velocity dispersion counts: an alternative to measuring cluster halo masses

Exploring extensions to the standard cosmological model and the impact of baryons on small scales


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

Graph-Based Fuzz Testing for Deep Learning Inference Engine

COMET: Coverage-guided Model Generation For Deep Learning Library Testing


A Probabilistic U-Net for Segmentation of Ambiguous Images

Improving Aleatoric Uncertainty Quantification in Multi-Annotated
  Medical Image Segmentation with Normalizing Flows

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data


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

SParC: Cross-Domain Semantic Parsing in Context

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


Optimizing Cancer Mutation Signatures Jointly with Sampling Likelihood

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment

bioRxiv : the preprint server for biology


a fork of the gap-closing pipeline PBJelly

Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle

Centuries of genome instability and evolution in soft-shell clam, Mya arenaria, bivalve transmissible neoplasia

GALA: a computational framework for de novo chromosome-by-chromosome assembly with long reads


Bullseye analysis pipeline for DART-seq analysis

TRIBE: Hijacking an RNA-Editing Enzyme to Identify Cell-Specific Targets of RNA-Binding Proteins

scDART-seq reveals distinct m6A signatures and mRNA methylation heterogeneity in single cells.

Mechanistic implications of enhanced editing by a HyperTRIBE RNA-binding protein

m6A and YTHDF proteins contribute to the localization of select neuronal mRNAs

Single-molecule identification of the target RNAs of different RNA binding proteins simultaneously in cells

Improved Methods for Deamination-Based m6A Detection

Frontiers in cell and developmental biology

Detection of m6A in single cultured cells using scDART-seq


One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image
  Transformations


Human Pose Estimation in Real-World Metric Coordinates

BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking

BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking


Simple GUI frontend for CMTK image registration tools in Fiji/ImageJ

A neural mechanism for deprivation state-specific expression of relevant memories in Drosophila

Layered roles of fruitless isoforms in specification and function of male aggression-promoting neurons in Drosophila

Sex-determining genes distinctly regulate courtship capability and target preference via sexually dimorphic neurons

Combinatorial circuit dynamics orchestrate flexible motor patterns inDrosophila


A set of MATLAB wrapper scripts to help with pre-processing of tomography data.

A Modular Platform for Streamlining Automated Cryo-FIB Workflows

Molecular-scale visualization of sarcomere contraction within native cardiomyocytes

Cnm1 mediates nucleus–mitochondria contact site formation in response to phospholipid levels

The journal of cell biology/The Journal of cell biology

The AAA+ chaperone VCP disaggregates Tau fibrils and generates aggregate seeds in a cellular system

In situ snapshots along a mammalian selective autophagy pathway

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

In situ architecture of the ciliary base reveals the stepwise assembly of IFT trains


Generating Information-Seeking Conversations from Unlabeled Documents (EMNLP 2022).

Longformer: The Long-Document Transformer

FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models


How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)

Certified Adversarial Robustness via Randomized Smoothing

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Penalty Method for Inversion-Free Deep Bilevel Optimization


Mitochondria Analyzer

Relationship Between Mitochondrial Structure and Bioenergetics in Pseudoxanthoma elasticum Dermal Fibroblasts

Mitochondrial Role in Intrinsic Apoptosis Induced by a New Synthesized Chalcone in Hepatocellular Carcinoma Cells


Blind Model-Based Fusion of Multi-band and Panchromatic Images

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Remote sensing image fusion via compressive sensing

Isprs Journal of Photogrammetry and Remote Sensing


Geometric Deep Learning Models for Vehicle Routing Problem

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Exact Combinatorial Optimization with Graph Convolutional Neural Networks


YOLOv3: An Incremental Improvement

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

EfficientDet: Scalable and Efficient Object Detection


JEME method for predicting enhancer targets

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal

EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions

Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets


Diffusion Models: A Comprehensive Survey of Methods and Applications

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

PyHealth: A Python Library for Health Predictive Models

Weakly Supervised Anomaly Detection: A Survey

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels

TOD: GPU-accelerated Outlier Detection via Tensor Operations


Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

Metagenomic binning through low-density hashing


Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching

Variational Noise-Contrastive Estimation

Bi-level Score Matching for Learning Energy-based Latent Variable Models


Learning Transferable Visual Models From Natural Language Supervision

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


Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Playing Atari with Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Deep Quality-Value (DQV) Learning


source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training

Probabilistic Margins for Instance Reweighting in Adversarial Training

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial
  Training


A challenge to investigate the security of the InstaHide protocol.

InstaHide: Instance-hiding Schemes for Private Distributed Learning

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


Author implementations for VL4Pose, EGL++ and LearningLoss++, and "unofficial" implementations of various active learning algorithms for human pose estimation!

Active Learning for Convolutional Neural Networks: A Core-Set Approach

A Mathematical Analysis of Learning Loss for Active Learning in Regression

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose
  Estimation

Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin?


ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Human few-shot learning of compositional instructions

Interpretability Illusions in the Generalization of Simplified Models


The Continual Learning App

Latent Replay for Real-Time Continual Learning

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

Continual Learning at the Edge: Real-Time Training on Smartphone Devices


Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images

Online matrix factorization for Markovian data and applications to Network Dictionary Learning

Sampling random graph homomorphisms and applications to network data analysis

Learning low-rank latent mesoscale structures in networks


PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Meta-Learning for Low-Resource Neural Machine Translation

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

A Stable and Effective Learning Strategy for Trainable Greedy Decoding


Semi-Supervised Variational Reasoning for Medical Dialogue Generation

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

More but Correct: Generating Diversified and Entity-revised Medical Response


Pairwise Hierarchical Model

Cells of the human intestinal tract mapped across space and time

High-resolution genetic mapping of putative causal interactions between regions of open chromatin

A spatially resolved atlas of the human lung characterizes a gland-associated immune niche

Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases


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

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

Human-level control through deep reinforcement learning

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

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Proximal Policy Optimization Algorithms

Playing Atari with Deep Reinforcement Learning

Improving Language Understanding by Generative Pre-Training

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

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


GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''

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

Fairness Testing: A Comprehensive Survey and Analysis of Trends

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

Fair oversampling technique using heterogeneous clusters


Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Proceedings of the 30th ACM International Conference on Multimedia


Quasi-Periodic WaveNet Pytorch implementation

Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

IEEE/ACM transactions on audio, speech, and language processing

Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation


Fine-mapping method only using summary statistics

Assistive technologies : ethical practice, ethical research and quality of life

Remote modulation of lncRNA GCLET by risk variant at 16p13 underlying genetic susceptibility to gastric cancer

Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis


Understanding self-supervised Learning Dynamics without Contrastive Pairs

A Cookbook of Self-Supervised Learning

Understanding Self-supervised Learning with Dual Deep Networks

Towards Demystifying Representation Learning with Non-contrastive Self-supervision

Luck Matters: Understanding Training Dynamics of Deep ReLU Networks

Understanding Deep Contrastive Learning via Coordinate-wise Optimization

Toward Understanding Generalization of Over-parameterized Deep ReLU network trained with SGD in Student-teacher Setting

JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and
  Attention

Understanding the Role of Nonlinearity in Training Dynamics of
  Contrastive Learning


Code Repository for the IndicXNLI paper.

IndicXNLI: Evaluating Multilingual Inference for Indian Languages

L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence
  representations using multilingual BERT

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi


Keras implementation of YOLO v3 for object detection with training and deployment in Azure ML.

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

YOLOv4: Optimal Speed and Accuracy of Object Detection


LLaMA: Open and Efficient Foundation Language Models

Few-shot Learning with Multilingual Language Models

Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU


CellRank's reproducibility repository.

Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis

CellRank for directed single-cell fate mapping

Single-cell mapping of lineage and identity in direct reprogramming

Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis


Matlab package for Tensor decompositions

Multi-Way Analysis Coupled with Near-Infrared Spectroscopy in Food Industry: Models and Applications

CP decomposition for tensors via alternating least squares with QR decomposition

A Fast Implementation for the Canonical Polyadic Decomposition.

Tensor decompositions and algorithms, with applications to tensor learning.


JavaScript MOOC simulations for the edX class Quantum Mechanics for Everyone provided by Georgetown University

Teaching quantum mechanics to over 14,000 nonscientists

Incorporating the Stern-Gerlach delayed-choice quantum eraser into the undergraduate quantum mechanics curriculum

Should we trade off higher-level mathematics for abstraction to improve student understanding of quantum mechanics?


优达学城无人驾驶工程师纳米学位P7--高速公路驾驶

Learning to Navigate in Cities Without a Map

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation


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

Soft Actor-Critic Algorithms and Applications

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

IEEE transactions on neural networks and learning systems

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past


Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.

Attention Is All You Need

Semi-supervised Multitask Learning for Sequence Labeling

Jointly Learning to Label Sentences and Tokens

Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels


Methods for mapping proteomics data on 3D protein structure.

The iPlant Collaborative: Cyberinfrastructure for Plant Biology

The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences

Binder 2.0 - Reproducible, interactive, sharable environments for science at scale

Proceedings of the Python in Science Conferences

3Dmol.js: molecular visualization with WebGL

A Curated Resource for Phosphosite-specific Signature Analysis

Chemical proteomics reveals new targets of cysteine sulfinic acid reductase

Diverse Redoxome Reactivity Profiles of Carbon Nucleophiles

Journal of the American Chemical Society

Towards an efficient compression of 3D coordinates of macromolecular structures

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank


Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

Multi-Exposure Image Fusion Techniques: A Comprehensive Review

LightFuse: Lightweight CNN based Dual-exposure Fusion

Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning

Proceedings of the AAAI Conference on Artificial Intelligence


Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.

Extending Context Window of Large Language Models via Positional
  Interpolation

Landmark Attention: Random-Access Infinite Context Length for
  Transformers

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models


My (small) research project in solubility of drug-like molecules

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

Journal of chemical information and modeling

Is Experimental Data Quality the Limiting Factor in Predicting the Aqueous Solubility of Druglike Molecules?

Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection

Can human experts predict solubility better than computers?

Solubility Challenge Revisited after Ten Years, with Multilab Shake-Flask Data, Using Tight (SD ∼ 0.17 log) and Loose (SD ∼ 0.62 log) Test Sets

Findings of the Second Challenge to Predict Aqueous Solubility


R Functions to calculate power of GWAS studies for a single associated SNP, under various parameters. Suitable for classical (i.e. single-SNP single-trait) GWAS studies using linear regression models, i.e for quantitative traits.

10 Years of GWAS Discovery: Biology, Function, and Translation

Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group

A Genetic Study of Cerebral Atherosclerosis Reveals Novel Associations with NTNG1 and CNOT3

Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning


Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Topological Experience Replay


A nonlinear interpolating tool based on ANN

Reconstructing Functions and Estimating Parameters with Artificial Neural Networks: A Test with a Hubble Parameter and SNe Ia

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Machine Learning the Cosmic Curvature in a Model-independent Way

Monthly Notices of the Royal Astronomical Society

Neural network reconstruction of late-time cosmology and null tests

On the Robustness of the Constancy of the Supernova Absolute Magnitude:
  Non-parametric Reconstruction & Bayesian approaches

Revisiting the cosmic distance duality relation with machine learning reconstruction methods: the combination of HII galaxies and ultra-compact radio quasars

Intermediate-luminosity red transients: Spectrophotometric properties and connection to electron-capture supernova explosions

Neural Network Reconstruction of H'(z) and its application in
  Teleparallel Gravity

What are recent observations telling us in light of improved tests of distance duality relation?

Neural network reconstruction of cosmology using the Pantheon compilation

Neural network reconstruction of scalar-tensor cosmology


A time-discrete race simulator written in Rust

A Race Simulation for Strategy Decisions in Circuit Motorsports

International Conference on Intelligent Transportation Systems

Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport

Virtual Strategy Engineer: Using Artificial Neural Networks for Making Race Strategy Decisions in Circuit Motorsport


The code for the paper: https://arxiv.org/pdf/1802.00168.pdf

Deep Neural Nets with Interpolating Function as Output Activation

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization

Graph interpolating activation improves both natural and robust accuracies in data-efficient deep learning


U.L.E.M.A. is a MATLAB-based GUI tool (for Windows) for quickly processing motion capture data (C3D files) relative to upper limb movements

Clinical assessment and three-dimensional movement analysis: An integrated approach for upper limb evaluation in children with unilateral cerebral palsy

Combining constraint-induced movement therapy and action-observation training in children with unilateral cerebral palsy: a randomized controlled trial

How Do Scapulothoracic Kinematics During Shoulder Elevation Differ Between Adults With and Without Rotator Cuff Arthropathy?

Clinical orthopaedics and related research

Structural Brain Damage and Upper Limb Kinematics in Children with Unilateral Cerebral Palsy

Effect of aerobic exercise prior to modified constraint-induced movement therapy outcomes in individuals with chronic hemiparesis: a study protocol for a randomized clinical trial

Effects of elastic tape on kinematic parameters during a functional task in chronic hemiparetic subjects: A randomized sham-controlled crossover trial


code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

IEEE transactions on geoscience and remote sensing

3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification.


Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring

Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

Song recorded near a super-group of humpback whales on a mid-latitude feeding ground off South Africa

Evaluation of various feature sets and feature selection towards automatic recognition of bird species

International journal of computer applications technology/International journal of computer applications in technology

Click reception in the harbor porpoise (Phocoena phocoena): Effects of electrode and contact transducer location on the auditory brainstem response

Unknown beaked whale echolocation signals recorded off eastern New Zealand.


Large-scale performance data of Hadoop and Spark on AWS

Scout: An Experienced Guide to Find the Best Cloud Configuration

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics

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


Communication-Efficient Learning of Deep Networks from Decentralized Data

A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

Quality Inference in Federated Learning with Secure Aggregation


Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Availability Attacks Create Shortcuts

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

Indiscriminate Poisoning Attacks Are Shortcuts.

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression


Creative Commons Attribution Share Alike 4.0 International

Deep Lesion Tracker

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers


Grammarly Corpus of Discourse Coherence and accompanying code for discourse coherence models

Discourse Coherence in the Wild: A Dataset, Evaluation and Methods

Multi-Task Learning for Coherence Modeling

How coherent are neural models of coherence?

International Conference on Computational Linguistics

Countering the Influence of Essay Length in Neural Essay Scoring

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing

Neural RST-based Evaluation of Discourse Coherence

Incremental Neural Lexical Coherence Modeling


Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement
  Learning

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online
  Reinforcement Learning


This repository contains code for spatio-temporal deep learning on functional MRI data

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis

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

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity


This is the repository for the collection of software-defined satellite networks.

OpenSAN

SIGCOMM'14: PROCEEDINGS OF THE 2014 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION

Routing Algorithm with Virtual Topology Toward to Huge Numbers of LEO Mobile Satellite Network Based on SDN

Routing algorithm design of satellite network architecture based on SDN and ICN

International journal of satellite communications and networking

Software Defined Integrated Satellite-Terrestrial Network: A Survey

Mobile Edge Computing for LEO Satellite: A Computation Offloading Strategy Based Improved Ant Colony Algorithm

Proceedings of the 11th International Conference on Computer Engineering and Networks

Intelligent Dynamic Timeout for Efficient Flow Table Management in Software Defined Satellite Network

MPTCP Based Load Balancing Mechanism in Software Defined Satellite Networks

Switching-Aware Dynamic Control Path Planning for Software Defined Large-Scale LEO Satellite Networks with GEO Controllers

Performance Modelling and Evaluation of In-Band Control Mode in Software-Defined Satellite Networks Based on Queuing Theory

Design of Southbound Interfaces in Heterogeneous Software-Defined Satellite Networks


Code and data related to the meta-analysis of fat distribution in UK Biobank and GIANT

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Sexual differences in genetic architecture in UK Biobank

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

Obesity, Fat Distribution and Risk of Cancer in Women and Men: A Mendelian Randomisation Study


PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

LION: Latent Point Diffusion Models for 3D Shape Generation

MPED: Quantifying Point Cloud Distortion based on Multiscale Potential
  Energy Discrepancy

Mosaic-SDF for 3D Generative Models


Information Theoretic Clustering using Minimum Spanning Trees

Are cluster validity measures (in) valid?

Normalised clustering accuracy: An asymmetric external cluster validity
  measure

Clustering with minimum spanning trees: How good can it be?


Efficient Object Localization Using Convolutional Networks

Averaging Weights Leads to Wider Optima and Better Generalization

Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


Image Data collection and implementation of deep learning-based model in
  detecting Monkeypox disease using modified VGG16

Deep transfer learning approaches for Monkeypox disease diagnosis

Monkeypox Image Data collection


An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)

Universal and Transferable Adversarial Attacks on Aligned Language
  Models

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large
  Language Models

Fast Adversarial Attacks on Language Models In One GPU Minute


Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

When Optimizing f-divergence is Robust with Label Noise

Combating Bilateral Edge Noise for Robust Link Prediction


Scaleable input gradient regularization

Explaining and Harnessing Adversarial Examples

A Closer Look at Accuracy vs. Robustness

Scaleable input gradient regularization for adversarial robustness

Adversarial Robustness Through Local Lipschitzness

Improved robustness to adversarial examples using Lipschitz regularization of the loss


Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning


Evaluation of Sentence Representations in Polish

Improving Domain-Specific Retrieval by NLI Fine-Tuning

Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases


The official repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.

A critical look at the evaluation of GNNs under heterophily: are we
  really making progress?

Layer-diverse Negative Sampling for Graph Neural Networks


Extract the PAE & pLDDT value of Alphafold2 from .pkl to .png, .csv & .pdb file.

Invasive Californian death caps develop mushrooms unisexually and bisexually

bioRxiv : the preprint server for biology

The two Gtsf paralogs in silkworms orthogonally activate their partner PIWI proteins for target cleavage


Covid-19 vs Pneumo Xray Detection using TensorFlow

Can AI Help in Screening Viral and COVID-19 Pneumonia?

Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection


Panoramic localization library containing PyTorch implementations of various panoramic localization algorithms including PICCOLO (ICCV 2021), CPO (ECCV 2022), LDL (ICCV 2023) and FGPL (CVPR 2024).

PICCOLO: Point Cloud-Centric Omnidirectional Localization

CPO: Change Robust Panorama to Point Cloud Localization


Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).

Do ImageNet Classifiers Generalize to ImageNet?

Shakedrop Regularization for Deep Residual Learning

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


[ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"

Adversarial Self-Supervised Contrastive Learning

When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?


A succinct toolset for analyzing climate data. This project is a work-in-progress.


Experiments with speech enhancement

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

Speech Denoising with Deep Feature Losses

Improved Speech Enhancement with the Wave-U-Net


The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

A Practical Guide to Logical Access Voice Presentation Attack Detection

System Fingerprint Recognition for Deepfake Audio: An Initial Dataset
  and Investigation


Do Neural Language Representations Learn Physical Commonsense?

Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings


A deep learning model to predict anticancer peptides.

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation

ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides

International journal of molecular sciences

ACP-BC: A Model for Accurate Identification of Anticancer Peptides Based on Fusion Features of Bidirectional Long Short-Term Memory and Chemically Derived Information


Input Inference for Control (i2c), a control-as-inference framework for optimal control

Stochastic Optimal Control as Approximate Input Inference

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

Stochastic Control through Approximate Bayesian Input Inference.

Efficient Stochastic Optimal Control through Approximate Bayesian Input
  Inference


Fast regression modeling framework

Cross-Lingual Metaphor Detection Using Common Semantic Features

The Utility of Text: The Case of Amicus Briefs and the Supreme Court

Identifying the L1 of non-native writers: the CMU-Haifa system

Workshop on Innovative Use of NLP for Building Educational Applications

Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options

Workshop on Statistical Machine Translation


a Customized Proteogenomic Workflow for Neoantigen Prediction and Selection

Main Strategies for the Identification of Neoantigens

ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection

Computational cancer neoantigen prediction: current status and recent advances

Deciphering Human Leukocyte Antigen Susceptibility Maps From Immunopeptidomics Characterization in Oncology and Infections

Frontiers in cellular and infection microbiology


Audio-Conditioned U-Net for Position Estimation in Full Sheet Images

FiLM: Visual Reasoning with a General Conditioning Layer

Learning to Read and Follow Music in Complete Score Sheet Images


⇔  Calculate distance matrix from ChewBBACA cgMLST allele call tables

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

Comparative Genomic Analyses of Escherichia coli from a Meat Processing Environment in Relation to Their Biofilm Formation and Persistence

Using Genomics To Investigate an Outbreak of Vancomycin-Resistant Enterococcus faecium ST78 at a Large Tertiary Hospital in Queensland

Within-Host Genetic Variation in Neisseria gonorrhoeae over the Course of Infection


code for NeurIPS_competition

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

2021 BEETL Competition: Advancing Transfer Learning for Subject
  Independence & Heterogenous EEG Data Sets


UNC-Chapel Hill Bioinformatics Utilities

Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors

Unifying cancer and normal RNA sequencing data from different sources

Mitochondrial respiratory gene expression is suppressed in many cancers

Differential expression of alternatively spliced transcripts related to energy metabolism in colorectal cancer

Breast cancer PAM50 signature: correlation and concordance between RNA-Seq and digital multiplexed gene expression technologies in a triple negative breast cancer series

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Alterations in Wnt- and/or STAT3 signaling pathways and the immune microenvironment during metastatic progression

Enabling cross-study analysis of RNA-Sequencing data


A TensorFlow implementation of perceptual generative autoencoder (PGA).

Hierarchical Quantized Autoencoders

Perceptual Generative Autoencoders

Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior


Asymmetric Contextual Modulation for Infrared Small Target Detection

Dense Nested Attention Network for Infrared Small Target Detection

Deep-NFA: a Deep a contrario Framework for Small Object
  Detection


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks


ESC: Redesigning WSD with Extractive Sense Comprehension

North American Chapter of the Association for Computational Linguistics

ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension

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

Nibbling at the Hard Core of Word Sense Disambiguation

Zenodo (CERN European Organization for Nuclear Research)

WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks


Official PyTorch implementation of TTS Style Transfer

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

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

Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion


[ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Deep Anomaly Detection with Outlier Exposure

Learning Confidence for Out-of-Distribution Detection in Neural Networks


pKAI: a fast and interpretable deep learning approach to accurate electrostatics-driven pKa prediction

PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions

Journal of chemical theory and computation

PKAD: a database of experimentally measured pKa values of ionizable groups in proteins

Database : the journal of biological databases and curation

PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations

Journal of chemical information and modeling

A fast and interpretable deep learning approach for accurate electrostatics-driven pKa predictions in proteins


MS-DAP: downstream analysis pipeline for quantitative proteomics

Activity-dependent translation dynamically alters the proteome of the perisynaptic astrocyte process

Age-Dependent Hippocampal Proteomics in the APP/PS1 Alzheimer Mouse Model: A Comparative Analysis with Classical SWATH/DIA and directDIA Approaches

Succinate mediates inflammation-induced adrenocortical dysfunction


Python implementation of projection losses.

SparseMAP: Differentiable Sparse Structured Inference

Learning with Fenchel-Young Losses

Structured Prediction with Projection Oracles


GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


Few shot learning for human pose estimation

A Closer Look at Few-shot Classification

CrossTransformers: spatially-aware few-shot transfer

Enhancing Few-shot Image Classification with Cosine Transformer


Paddle detection to pytorch

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

YOLOX: Exceeding YOLO Series in 2021

YOLOv6: A Single-Stage Object Detection Framework for Industrial
  Applications

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

PP-YOLOE: An evolved version of YOLO

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

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices


Modality-Agnostic Attention Fusion for visual search with text feedback

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Training and challenging models for text-guided fashion image retrieval


Full-Glow: Fully conditional Glow for more realistic image generation

Structured Output Learning with Conditional Generative Flows

Generative Flows with Invertible Attentions


Zero-shot Transfer Learning from English to Arabic

An Empirical Study of Pre-trained Transformers for Arabic Information Extraction

A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks


Episode-based Prototype Generating Network for Zero-Shot Learning

Multimodality in Meta-Learning: A Comprehensive Survey

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning


[TIP2020] Official Implementation of MEF-SSIMd

Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes

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

Multi-Exposure Image Fusion Techniques: A Comprehensive Review

Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city


Find parts of long text or data, allowing for some changes/typos.

PubLayNet: largest dataset ever for document layout analysis

Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model

Nougat: Neural Optical Understanding for Academic Documents

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit

International journal of environmental research and public health

Repeated patterns of gamma-ray flares suggest structured jets of blazars as likely neutrino sources

An Emergency Medical Services Clinical Audit System driven by Named
  Entity Recognition from Deep Learning


Object Tracking with YOLOv5, CLIP, DINO and DeepSORT

Learning Transferable Visual Models From Natural Language Supervision

Simple Online and Realtime Tracking with a Deep Association Metric

Emerging Properties in Self-Supervised Vision Transformers

Deep Cosine Metric Learning for Person Re-Identification

Workshop on Applications of Computer Vision


Pipeline for annotating genomes using long read transcriptomics data with pinfish

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

LARP1 isoform expression in human cancer cell lines

Full-length transcript sequencing of human and mouse identifies widespread isoform diversity and alternative splicing in the cerebral cortex


End-to-end speech recognition on AISHELL dataset.

Effective Approaches to Attention-based Neural Machine Translation

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Attention-Based Models for Speech Recognition

Listen, Attend and Spell


C# Data Extraction for "Learning to Represent Edits"

Learning to Represent Edits

A Literature Study of Embeddings on Source Code

VarCLR: Variable Semantic Representation Pre-training via Contrastive
  Learning


StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Multimodal Unsupervised Image-to-Image Translation

SDIT: Scalable and Diverse Cross-domain Image Translation


A command line interface to download PDF files from https://arxiv.org.

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models

Probabilistic Circuits That Know What They Don't Know


Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"

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

Blind Image Deconvolution using Pretrained Generative Priors


Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"

Optimizing the Latent Space of Generative Networks

Implicit Maximum Likelihood Estimation

Data InStance Prior (DISP) in Generative Adversarial Networks


A realistic simulator of Active Directory domains

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack
  Graphs


Autoencoder-based baseline system for DCASE2021 Challenge Task 2.

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions

ToyADMOS2 dataset: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions


test repository

Chromosome-scale shotgun assembly using an in vitro method for long-range linkage

De novo assembly and annotation of the CHOZN® GS-/- genome supports high-throughput genome-scale screening


Code for the paper "Adversarial Generator-Encoder Networks"

Variational Approaches for Auto-Encoding Generative Adversarial Networks

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

It Takes (Only) Two: Adversarial Generator-Encoder Networks

Distribution Matching in Variational Inference

Pioneer Networks: Progressively Growing Generative Autoencoder

Semi-supervised image attribute editing using generative adversarial networks

Pairwise Augmented GANs with Adversarial Reconstruction Loss


Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"

Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Multimodal Token Fusion for Vision Transformers


Documentation effort for the BookCorpus dataset

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ��

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Datasheets for Datasets

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

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus


Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking

Link Prediction without Graph Neural Networks


The implementation for DropMessage.

Improving neural networks by preventing co-adaptation of feature detectors

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Random Neural Network for Semi-Supervised Learning on Graphs

DropMessage: Unifying Random Dropping for Graph Neural Networks


Explaining and Harnessing Adversarial Examples

Theoretically Principled Trade-off between Robustness and Accuracy

Adversarial Logit Pairing

Adversarial Robustness with Semi-Infinite Constrained Learning

Probabilistically Robust Learning: Balancing Average- and Worst-case
  Performance


Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity

Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data

Discovering Nonlinear Relations with Minimum Predictive Information Regularization

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

Machine Learning Incorporated With Causal Analysis for Short-Term Prediction of Sea Ice

Intelligence, physics and information - the tradeoff between accuracy and simplicity in machine learning.

The Conditional Cauchy-Schwarz Divergence with Applications to
  Time-Series Data and Sequential Decision Making


Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network

Optimized deep encoder-decoder methods for crack segmentation

Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Advances in Deep Concealed Scene Understanding

Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms

Advances in deep learning methods for pavement surface crack detection
  and identification with visible light visual images

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

Deeper and Mixed Supervision for Salient Object Detection in Automated Surface Inspection

惠州海事局加强大运“环深圳水域”监管


Face Aging with Identity-Preserved Conditional Generative Adversarial Networks

A3GAN: An Attribute-aware Attentive Generative Adversarial Network for
  Face Aging

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

International journal of computer vision

PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery

Receptors of Cell–Matrix Mass Transfer


This is the repository of the EMNLP 2021 paper "BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation".

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation

Tailoring Language Generation Models under Total Variation Distance


An algorithm for recovering haplotypes from metagenomes

On the complexity of haplotyping a microbial community

Recovery of gene haplotypes from a metagenome

Reconstruction of Microbial Haplotypes by Integration of Statistical and Physical Linkage in Scaffolding

Probabilistic recovery of cryptic haplotypes from metagenomic data

Advances in the recovery of haplotypes from the metagenome


Regression datasets from the UCI repository with standardized test-train splits.

Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)

Quadruply Stochastic Gaussian Processes


UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

FlowNet: Learning Optical Flow with Convolutional Networks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks


Library to simplify autograd computations in PyTorch

Efficient Per-Example Gradient Computations

Deep Unlearning via Randomized Conditionally Independent Hessians

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data

TRIAGE: Characterizing and auditing training data for improved
  regression


fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier

Universal Language Model Fine-tuning for Text Classification

BERTje: A Dutch BERT Model

Single Headed Attention RNN: Stop Thinking With Your Head


Automatically exported from code.google.com/p/prottest3

A neurotransmitter produced by gut bacteria modulates host sensory behaviour

Spliceosomal Prp8 intein at the crossroads of protein and RNA splicing

Photoreceptor Diversification Accompanies the Evolution of Anthozoa

Acquisition of a Novel Sulfur-Oxidizing Symbiont in the Gutless Marine Worm Inanidrilus exumae

Caspases from scleractinian coral show unique regulatory features

RNA-Seq de novo assembly and differential transcriptome analysis of the nematode Ascaridia galli in relation to in vivo exposure to flubendazole

Exploring New Routes for Genetic Resistances to Potyviruses: The Case of the Arabidopsis thaliana Phosphoglycerates Kinases (PGK) Metabolic Enzymes

From head to rootlet: comparative transcriptomic analysis of a rhizocephalan barnacle Peltogaster reticulata (Crustacea: Rhizocephala)

phylo-node: A molecular phylogenetic toolkit using Node.js

Morphological and molecular evolution of hadal amphipod’s eggs provides insights into embryogenesis under high hydrostatic pressure

Frontiers in cell and developmental biology


Emmanoulopoulos style lightcurve simulation

The ultracompact nature of the black hole candidate X-ray binary 47 Tuc X9

Monthly Notices of the Royal Astronomical Society

Locating the gamma-ray emission region in the brightest Fermi-LAT flat-spectrum radio quasars

Monthly notices of the Royal Astronomical Society

Transient quasi-periodic oscillations at γ-rays in the TeV blazar PKS 1510-089

Rapid variability at very high energies in Mrk 501

Longterm properties of accretion discs in X-ray Binaries - III. A search for spin-superorbital correlation in SMC X-1

Detection of a quasi-periodic oscillation in the optical light curve of the remarkable blazar AO 0235+164

Broad-band study of OQ 334 during its flaring state

A 31.3 day Transient Quasiperiodic Oscillation in Gamma-ray Emission from Blazar S5 0716+714

Exploring Short-Term Optical Variability of Blazars Using
  TESS

Multiwavelength temporal and spectral analysis of Blazar S5 1803+78


Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'

Conservative Objective Models for Effective Offline Model-Based Optimization

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

Fast activation maximization for molecular sequence design


R scripts for performing co-occurrence analyses

Soil bacterial networks are less stable under drought than fungal networks

The capacity of wastewater treatment plants drives bacterial community structure and its assembly

Soil Bacterial and Fungal Communities Exhibit Distinct Long-Term Responses to Disturbance in Temperate Forests

Characterization of a nifH-Harboring Bacterial Community in the Soil-Limited Gotjawal Forest


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

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

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

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS international journal of geo-information


A set of scripts for calculating pairwise SNP distance

Fast and flexible bacterial genomic epidemiology with PopPUNK

Dissemination of Mycobacterium abscessus via global transmission networks

Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial

Population structure and transmission of Mycobacterium bovis in Ethiopia

Epidemiologic and Genomic Reidentification of Yaws, Liberia

Genomic surveillance of multidrug-resistant Klebsiella in Wales reveals persistent spread of Klebsiella pneumoniae ST307 and adaptive evolution of pOXA-48-like plasmids

Colonization and transmission of Staphylococcus aureus in schools: a citizen science project


This repository (FakeHealth) is collected to address challenges in Fake Health News detection

Sentiment Analysis for Fake News Detection

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

A Unified Graph-Based Approach to Disinformation Detection using
  Contextual and Semantic Relations

HyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based
  Disinformation Detection


Likelihood-Free Inference for Gravitational Waves

On Contrastive Learning for Likelihood-free Inference

Complete parameter inference for GW150914 using deep learning

Parameter Inference for Coalescing Massive Black Hole Binaries Using Deep Learning


Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning

A Differential Entropy Estimator for Training Neural Networks


The information sieve for discrete variables.

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

The Information Sieve


Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Long Short Term Memory Networks for Anomaly Detection in Time Series

The European Symposium on Artificial Neural Networks

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

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

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

Graph Convolutional Networks for traffic anomaly


Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"

Unsupervised Skill Discovery with Bottleneck Option Learning

Lipschitz-constrained Unsupervised Skill Discovery

Learning to Discover Skills through Guidance


[INFOCOM 2024] Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration

Agglomerative Federated Learning:Empowering Larger Model Training via End-Edge-Cloud Collaboration


Population genetic summary statistics

Genetic evidence for two founding populations of the Americas

The Demographic Development of the First Farmers in Anatolia

Rapid evolution of distinct Helicobacter pylori subpopulations in the Americas

Corded Ware cultural complexity uncovered using genomic and isotopic analysis from south-eastern Poland

Assessing genomic admixture between cryptic Plutella moth species following secondary contact

Genetic continuity and change among the Indigenous peoples of California.


A Corpus for Research on Robust Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications

Automatic Speech Recognition Benchmark for Air-Traffic Communications

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech
  Recognition and Natural Language Understanding of Air Traffic Control
  Communications

Bertraffic: Bert-Based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

Speech and Natural Language Processing Technologies for Pseudo-Pilot
  Simulator

Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control
  Communications for Robust Automatic Speech Recognition and Understanding


Official repository for Self-restrained Triplet Loss for Accurate Masked Face Recognition

MFR 2021: Masked Face Recognition Competition

The Effect of Wearing a Face Mask on Face Image Quality


Belief matching framework official implementation

Being Bayesian about Categorical Probability

Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation


Value-Decomposition Multi-Agent Actor-Critics

The StarCraft Multi-Agent Challenge

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning


Neural likelihood-free methods in PyTorch.

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Automatic Posterior Transformation for Likelihood-Free Inference

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

On Contrastive Learning for Likelihood-free Inference


Adversarial examples for Seq2Seq model in NLP

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

Towards a Robust Deep Neural Network in Texts: A Survey

TransFool: An Adversarial Attack against Neural Machine Translation
  Models


JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

Combinatorial optimization with physics-inspired graph neural networks

Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems


BECAUSE annotated corpus

The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations

Event Causality Identification via Derivative Prompt Joint Learning

International Conference on Computational Linguistics

UniCausal: Unified Benchmark and Repository for Causal Text Mining

Causality extraction model based on two-stage GCN


:exclamation: This is a read-only mirror of the CRAN R package repository.  MendelianRandomization — Mendelian Randomization Package

Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity

Association of Fibroblast Growth Factor 23 With Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study

Low Intelligence Predicts Higher Risks of Coronary Artery Disease and Myocardial Infarction: Evidence From Mendelian Randomization Study


Code to reproduce data for Bias in Bios

Algorithmic fairness datasets: the story so far

FIND: Human-in-the-Loop Debugging Deep Text Classifiers

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
  their Social Biases in Downstream Tasks

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

MABEL: Attenuating Gender Bias using Textual Entailment Data

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment

Adversarial Scrubbing of Demographic Information for Text Classification

Fair NLP Models with Differentially Private Text Encoders

Measuring Fairness of Text Classifiers via Prediction Sensitivity


Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"

Intriguing properties of neural networks

Query-Efficient Black-box Adversarial Examples (superceded)


Universal Adversarial Perturbations (UAPs) for PyTorch

Adversarial Patch

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Universal Adversarial Robustness of Texture and Shape-Biased Models

International Conference on Information Photonics

Robustness and Transferability of Universal Attacks on Compressed Models

Jacobian Regularization for Mitigating Universal Adversarial Perturbations


Constraint-Based Question Answering with Knowledge Graph

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base

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


Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".


Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference Data

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data

International Symposium on Biomedical Imaging

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

A theoretical framework for self-supervised MR image reconstruction
  using sub-sampling via variable density Noisier2Noise

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth

Self-Supervised Deep Equilibrium Models for Inverse Problems with
  Theoretical Guarantees


A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth

A Probabilistic U-Net for Segmentation of Ambiguous Images

Deep Probabilistic Modeling of Glioma Growth


Code and data for "Learning Compact Geometric Features"

The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

Learning Compact Geometric Features

Performance Evaluation of Learned 3D Features

Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors


code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Reciprocal Normalization for Domain Adaptation


The full dataset behind paperswithcode.com

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

reStructured Pre-training

Analyzing Dataset Annotation Quality Management in the Wild


This is a collection of mostly R code to use text mining to analyse conference abstracts, blogs and other sources in an attempt to look for "weak signals" (early signs of new trends), See the wiki pages for background etc.

DIGITAL CYBER FORENSICS CONTRIBUTION FOR EMAIL ANALYSIS

Journal of engineering and sustainable development

Classifying Unstructured Text Using Structured Training Instances and an Ensemble of Classifiers

Journal of intelligent learning systems and applications


Reinforcement learning for unit commitment

Applying reinforcement learning and tree search to the unit commitment problem

Reinforcement Learning and Mixed-Integer Programming for Power Plant
  Scheduling in Low Carbon Systems: Comparison and Hybridisation


Collection of scripts for bacterial genomics

Molecular Keys to the Janthinobacterium and Duganella spp. Interaction with the Plant Pathogen Fusarium graminearum

Genome-Centric Analysis of a Thermophilic and Cellulolytic Bacterial Consortium Derived from Composting

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Plant Growth-Promoting Activity of Pseudomonas aeruginosa FG106 and Its Ability to Act as a Biocontrol Agent against Potato, Tomato and Taro Pathogens

Genus-wide comparison of Pseudovibrio bacterial genomes reveal diverse adaptations to different marine invertebrate hosts

Propionibacterium avidum as an Etiological Agent of Prosthetic Hip Joint Infection

Genome-Based Identification of Active Prophage Regions by Next Generation Sequencing in Bacillus licheniformis DSM13

Genomic and Physiological Properties of a Facultative Methane-Oxidizing Bacterial Strain of Methylocystis sp. from a Wetland

Life at Home and on the Roam: Genomic Adaptions Reflect the Dual Lifestyle of an Intracellular, Facultative Symbiont

Complete genome sequence of the nematicidal Bacillus thuringiensis MYBT18247


2017 NimbRo-OP2 hardware release

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

Grown-up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer
  Competitions

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps
  Gait and Phase-based In-walk Kicks


Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

Arbitrage-free neural-SDE market models

Detecting and repairing arbitrage in traded option prices

Estimating risks of option books using neural-SDE market models

Hedging Option Books Using Neural-SDE Market Models