A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Pyramid Stereo Matching Network

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

FADNet: A Fast and Accurate Network for Disparity Estimation

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks


Neural Code Comprehension: A Learnable Representation of Code Semantics

Convolutional Neural Networks over Tree Structures for Programming Language Processing

A Literature Study of Embeddings on Source Code

How could Neural Networks understand Programs?


iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

iBOT: Image BERT Pre-Training with Online Tokenizer

Towards a Visual-Language Foundation Model for Computational Pathology

Probing the 3D Awareness of Visual Foundation Models

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

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

Zero-shot visual reasoning through probabilistic analogical mapping

Transcriptomics-Guided Slide Representation Learning in Computational Pathology

Discriminative Sample-Guided and Parameter-Efficient Feature Space
  Adaptation for Cross-Domain Few-Shot Learning

UNIC: Universal Classification Models via Multi-teacher Distillation


A database of marine reference data like climatologies and bathymetry


Official Pytorch implementation of "Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019."  and the FVI dataset in "Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN, Chang et al. ICCV 2019"

Learning Joint Spatial-Temporal Transformations for Video Inpainting


Hyper optimized contraction trees for large tensor networks and einsums

TensorCircuit: a Quantum Software Framework for the NISQ Era

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

HybridQ: A Hybrid Simulator for Quantum Circuits

Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Tensor Network Circuit Simulation at Exascale


CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

LawBench: Benchmarking Legal Knowledge of Large Language Models

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training

Adaptive Chinese Pinyin IME for Most Similar Representation


Attention Is All You Need

Online Distilling from Checkpoints for Neural Machine Translation

North American Chapter of the Association for Computational Linguistics

Correct-and-Memorize: Learning to Translate from Interactive Revisions


Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

Cerebellar Contribution to Preparatory Activity in Motor Neocortex

Disrupting cortico-cerebellar communication impairs dexterity

Highly structured, partner-sex- and subject-sex-dependent cortical responses during social facial touch

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement

Inferring neural information flow from spiking data

Computational and structural biotechnology journal


Political Science Computational Laboratory

No evidence for negative impacts of acute sulfoxaflor exposure on bee olfactory conditioning or working memory

Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution

Alcohol use, cannabis use, and psychopathology symptoms among college students before and after COVID-19

Weapon-carrying and the Reduction of Violent Harm

Local attitudes toward Apennine brown bears: Insights for conservation issues

Long-term woodland restoration on lowland farmland through passive rewilding

Beyond linear regression: A reference for analyzing common data types in discipline based education research

Physical Review Physics Education Research

Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers

Inhibitory Bacterial Diversity and Mucosome Function Differentiate Susceptibility of Appalachian Salamanders to Chytrid Fungal Infection

An assessment of trends in the frequency and duration of Karenia brevis red tide blooms on the South Texas coast (western Gulf of Mexico)


Intelligence Task Ontology (ITO)

A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks

A critical analysis of metrics used for measuring progress in artificial intelligence

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

A global analysis of metrics used for measuring performance in natural language processing

Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals


Scalable Time Series Data Analytics

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Fast and Accurate Time Series Classification with WEASEL

International Conference on Information and Knowledge Management

Multivariate Time Series Classification with WEASEL+MUSE

TEASER: early and accurate time series classification

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

XEM: An explainable-by-design ensemble method for multivariate time series classification

Dataset: Rare Event Classification in Multivariate Time Series

Local Cascade Ensemble for Multivariate Data Classification.


A library for distributed ML training with PyTorch

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Improving Policy Learning via Language Dynamics Distillation

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning

NetHack is Hard to Hack

Katakomba: Tools and Benchmarks for Data-Driven NetHack

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform


Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics

Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems

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

3D optical flow for large CT data of materials microstructures

CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures

CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications


Library to compute surface distance based performance metrics for segmentation tasks.

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

Understanding metric-related pitfalls in image analysis validation

Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network

Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images

Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Oropharyngeal primary tumor segmentation for radiotherapy planning on magnetic resonance imaging using deep learning

Physics and imaging in radiation oncology

Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks


GHEtool is an open-source tool for borefield sizing and ground temperature evolution plotting.

GHEtool: An open-source tool for borefield sizing in Python


Train Gradient Boosting models that are both high-performance *and* Fair!

Equality of Opportunity in Supervised Learning

Promoting Fairness through Hyperparameter Optimization

FairGBM: Gradient Boosting with Fairness Constraints


UNFINISHED: use this instead: https://github.com/JRCSTU/gearshift_calculation_tool


An R    for getting point and gridded climate data by AOI

Pesticide application rates and their toxicological impacts: why do they vary so widely across the U.S.?

Predicting Inundation Dynamics and Hydroperiods of Small, Isolated Wetlands Using a Machine Learning Approach


Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

Quilt-1M: One Million Image-Text Pairs for Histopathology

Learning to combine Grammatical Error Corrections

CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos

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

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance

MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources

Cross-lingual Transfer Learning for Grammatical Error Correction

International Conference on Computational Linguistics

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Workshop on Innovative Use of NLP for Building Educational Applications

GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis

International Joint Conference on Natural Language Processing

Fashion-IQ 2020 Challenge 2nd Place Team's Solution

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus


Creative Commons Attribution Share Alike 4.0 International

An introduction to our Answer Set Programming tools focusing on gringo, clingo, and clasp.

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Specifying and Verbalising Answer Set Programs in Controlled Natural Language

Guiding Robot Exploration in Reinforcement Learning via Automated Planning

Semantic Task Planning for Service Robots in Open World

Strong Equivalence of Logic Programs with Counting

Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer

Verification of Locally Tight Programs

External Behavior of a Logic Program and Verification of Refactoring

Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP


Transcriptional signature in microglia associated with Aβ plaque phagocytosis

A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia

Cell-Type-Specific Gene Expression Profiling in Adult Mouse Brain Reveals Normal and Disease-State Signatures

The 10,000 Immunomes Project: Building a Resource for Human Immunology.

Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network

Core transcriptional signatures of phase change in the migratory locust

Machine learning assisted analysis of breast cancer gene expression profiles reveals novel potential prognostic biomarkers for triple-negative breast cancer

Upon microbial challenge, human neutrophils undergo rapid changes in nuclear architecture and chromatin folding to orchestrate an immediate inflammatory gene program

Inter-tissue convergence of gene expression during ageing suggests age-related loss of tissue and cellular identity

Loss of PRC1 activity in different stem cell compartments activates a common transcriptional program with cell type–dependent outcomes


Java grammar for tree-sitter

Repository-Level Prompt Generation for Large Language Models of Code

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Evaluating the Impact of Source Code Parsers on ML4SE Models

Coarse-Tuning Models of Code with Reinforcement Learning Feedback

Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?


Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

End-to-End Speech Recognition: A Survey

Espresso: A Fast End-to-end Neural Speech Recognition Toolkit

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

End-to-End Speech Recognition and Disfluency Removal

Relaxed Attention for Transformer Models

Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition

iRNN: Integer-only Recurrent Neural Network

Training Integer-Only Deep Recurrent Neural Networks


Project 1


Read, modify and write DICOM files with python code

A cortical surface-based geodesic distance package for Python

18F-FDG-PET-Based Radiomics Features to Distinguish Primary Central Nervous System Lymphoma from Glioblastoma.

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs

An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

VISION: Toward a Standardized Process for Radiology Image Management at
  the National Level

Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas

CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography

Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust


High-performance error correction for Illumina resequencing data

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

BFC: correcting Illumina sequencing errors

A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis

Denoising of Aligned Genomic Data

Genome assembly of primitive cultivated potato Solanum stenotomum provides insights into potato evolution

Correcting Illumina sequencing errors for human data


NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Learning from Noisy Labels with Deep Neural Networks: A Survey

Robust Semi-Supervised Learning with Out of Distribution Data.

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning


Hierarchical Graph Network for Multi-hop Question Answering

QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

Enhancing text comprehension for Question Answering with Contrastive Learning

Workshop on Representation Learning for NLP

How Well Do Multi-hop Reading Comprehension Models Understand Date Information?


An implementation of the Augmented Random Search algorithm

Simple random search provides a competitive approach to reinforcement learning

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization

An Invariant Information Geometric Method for High-Dimensional Online Optimization


Mapping Language to Code in a Programmatic Context

Mapping Language to Code in Programmatic Context

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning Based Code Generation Methods: A Literature Review

Neural Machine Translation for Code Generation


Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Computer methods and programs in biomedicine

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Biomedical signal processing and control

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Initial Stage COVID-19 Detection System Based on Patients’ Symptoms and Chest X-Ray Images

SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray Images

Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images

International journal of environmental research and public health

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression


Dataset of images of trash; Torch-based CNN for garbage image classification

Waste detection in Pomerania: non-profit project for detecting waste in environment

Deep Convolutional Neural Networks Object Detector for Real-Time Waste Identification

Smart Waste Management and Classification Systems Using Cutting Edge Approach

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack

A 5G-Enabled Smart Waste Management System for University Campus

Classifying Wastes Using Random Forests, Gaussian Naïve Bayes, Support Vector Machine and Multilayer Perceptron

IOP Conference Series: Materials Science and Engineering

Towards Lightweight Neural Networks for Garbage Object Detection

Waste Classification using Transfer Learning with Convolutional Neural Networks

IOP Conference Series: Earth and Environmental Science

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning

Towards artificially intelligent recycling Improving image processing for waste classification


Position Focused Attention Network for Image-Text Matching

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval


Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

On the Convergence of Tsetlin Machines for the XOR Operator

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks


Dynamic Key-Value Memory Networks for Knowledge Tracing

Knowledge Query Network: How Knowledge Interacts with Skills

Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning

Student Performance Prediction Using Dynamic Neural Models

Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability

Deep Knowledge Tracing with Learning Curves


Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

Controversial stimuli: Pitting neural networks against each other as models of human cognition

No MCMC for me: Amortized sampling for fast and stable training of energy-based models

Scalable Bayesian Inverse Reinforcement Learning

Strictly Batch Imitation Learning by Energy-based Distribution Matching

Hybrid Discriminative-Generative Training via Contrastive Learning

JEM++: Improved Techniques for Training JEM

Towards Understanding the Generative Capability of Adversarially Robust Classifiers

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder


Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

North American Chapter of the Association for Computational Linguistics

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification

Neural Data Augmentation via Example Extrapolation

Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Segmenting Natural Language Sentences via Lexical Unit Analysis

Parallel Intent and Slot Prediction using MLB Fusion

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models


A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Developing and deploying deep learning models in brain MRI: a review

Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning


BiNE: Bipartite Network Embedding

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Bipartite Graph Embedding via Mutual Information Maximization

Signed Bipartite Graph Neural Networks

HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

IEEE Transactions on Knowledge and Data Engineering

Learning Vertex Representations for Bipartite Networks

FOBE and HOBE: First- and High-Order Bipartite Embeddings

COIN: Co-Cluster Infomax for Bipartite Graphs

STERLING: Synergistic Representation Learning on Bipartite Graphs


A concise but complete implementation of CLIP with various experimental improvements from recent papers

FILIP: Fine-grained Interactive Language-Image Pre-Training

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Scaling Language-Image Pre-training via Masking

Decoupled Contrastive Learning


MPNet: Masked and Permuted Pre-training for Language Understanding   https://arxiv.org/pdf/2004.09297.pdf

MASS: Masked Sequence to Sequence Pre-training for Language Generation

A Language Model-based Generative Classifier for Sentence-level Discourse Parsing

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

A generalized solution to verify authorship and detect style change in multi-authored documents

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining

Temporal Cross-Attention for Dynamic Embedding and Tokenization of
  Multimodal Electronic Health Records


[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

Self-Supervised Multi-Modal Sequential Recommendation

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation


This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition

ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Skeleton Based Sign Language Recognition Using Whole-body Keypoints


ConMask model described in paper Open-world Knowledge Graph Completion.

Open-World Knowledge Graph Completion

Open-world Machine Learning: Applications, Challenges, and Opportunities

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

Do Similar Entities have Similar Embeddings?


(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

On Efficient Reinforcement Learning for Full-length Game of StarCraft II

An Introduction of mini-AlphaStar

Rethinking of AlphaStar


[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

AKEW: Assessing Knowledge Editing in the Wild

LoFiT: Localized Fine-tuning on LLM Representations


Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

How To Backdoor Federated Learning

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

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


A collection of MARL benchmarks based on TorchRL

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning


Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Training for Grammatical Error Correction Without Human-Annotated L2 Learners’ Corpora


[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis


From annotated genomes to metabolic screening in large scale microbiotas

Metage2Metabo, microbiota-scale metabolic complementarity for the identification of key species

Bioinformatic approaches for studying the microbiome of fermented food

Metage2Metabo: metabolic complementarity applied to genomes of large-scale microbiotas for the identification of keystone species


PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

BVMatch: Lidar-Based Place Recognition Using Bird's-Eye View Images

International Conference on Robotics and Automation

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

Point-based metric and topological localisation between lidar and overhead imagery

SeqNetVLAD vs PointNetVLAD: Image Sequence vs 3D Point Clouds for Day-Night Place Recognition


This repo is DEPRECATED. Please use minimap2, the successor of minimap.

Nanopore sequencing and assembly of a human genome with ultra-long reads

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions

Research in Computational Molecular Biology

FMLRC: Hybrid long read error correction using an FM-index

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

Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

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

Zenodo (CERN European Organization for Nuclear Research)

Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design

Computer Architecture-Aware Optimisation of DNA Analysis Systems

Whole-genome sequencing of three local rice varieties (Oryza sativa L.) in Vietnam


Span-based Localizing Network for Natural Language Video Localization (ACL 2020)

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework

IEEE transactions on pattern analysis and machine intelligence

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection

A Survey on Video Moment Localization


R package for working with CyToF data

Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

High-dimensional immunotyping of tumors grown in obese and non-obese mice

Computational Methods for Single-Cell Proteomics

Annual review of biomedical data science

A conserved immune trajectory of recovery in hospitalized COVID-19 patients

bioRxiv : the preprint server for biology


Code for the calculation and implementation of the PC Based epigenetic clocks

OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations

Metabolic syndrome and epigenetic aging: a twin study

Exploring the effects of Dasatinib, Quercetin, and Fisetin on DNA methylation clocks: a longitudinal study on senolytic interventions

Accelerated biological aging six decades after prenatal famine exposure

medRxiv : the preprint server for health sciences

The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality – a prospective twin study

Comparison of Infinium MethylationEPIC v2.0 to v1.0 for human population 1 epigenetics: considerations for addressing EPIC version differences in DNA 2 methylation-based tools


The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Score-Based Generative Modeling through Stochastic Differential Equations

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Fairness for Image Generation with Uncertain Sensitive Attributes

Entropic Neural Optimal Transport via Diffusion Processes

Benchmarking the Fairness of Image Upsampling Methods

JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model


Stochastic Time-Inverted Lagrangian Transport model

Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the U.S.


Calculate genome wide average nucleotide identity (gwANI) for a multiFASTA alignment

Isolation and Characterization of Two Klebsiella pneumoniae Phages Encoding Divergent Depolymerases

International journal of molecular sciences

Isolation of Four Lytic Phages Infecting Klebsiella pneumoniae K22 Clinical Isolates from Spain

Cucumber Mosaic Virus-Induced Systemic Necrosis in Arabidopsis thaliana: Determinants and Role in Plant Defense

A Novel Bacteriophage Infecting Multi-Drug- and Extended-Drug-Resistant Pseudomonas aeruginosa Strains


AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Session-based Social Recommendation via Dynamic Graph Attention Networks

User Response Prediction in Online Advertising

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Ekar: An Explainable Method for Knowledge Aware Recommendation

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Dynamic Parameterized Network for CTR Prediction

LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions

Click-Through Rate Prediction Using Graph Neural Networks and Online Learning


Implementation of Rank-biased Overlap

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

Automatic Readability Assessment for Closely Related Languages

Packaged foods with pulse ingredients in Europe: A dataset of text-mined product formulations

Do Similar Entities have Similar Embeddings?

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions

A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19


Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Very Deep Convolutional Networks for Large-Scale Image Recognition

Few-shot Object Detection via Feature Reweighting

Incremental Learning of Object Detectors without Catastrophic Forgetting


A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV

RdRp-scan: A bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data

Revealing RNA virus diversity and evolution in unicellular algae transcriptomes

µgreen-db: a reference database for the 23S rRNA gene of eukaryotic plastids and cyanobacteria


PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

U-Net: Convolutional Networks for Biomedical Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

A ConvNet for the 2020s

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Selective Kernel Networks

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Class-Balanced Loss Based on Effective Number of Samples

On the Variance of the Adaptive Learning Rate and Beyond

RepVGG: Making VGG-style ConvNets Great Again

Large Batch Training of Convolutional Networks


Tools and tutorials for the OpenMIC-2018 dataset.

Multitask learning for frame-level instrument recognition

Multi-Task Self-Supervised Pre-Training for Music Classification

Receptive-Field Regularized CNNs for Music Classification and Tagging


Library to solve Traveling Salesperson Problems with pure Python code

Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery

Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning

Synergizing Spatial Optimization with Large Language Models for
  Open-Domain Urban Itinerary Planning


Meandering In Networks of Entities to Reach Verisimilar Answers

Deep Learning on Graphs: A Survey

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Reinforcement learning on graphs: A survey

To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs

Fact Checking via Path Embedding and Aggregation

Memory-Enhanced Knowledge Reasoning with Reinforcement Learning


Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

Explainable Link Prediction for Emerging Entities in Knowledge Graphs

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description


Biophysics-based prediction of LFPs from point-neuron networks

Hybrid scheme for modeling local field potentials from point-neuron networks

Estimation of neural network model parameters from local field potentials (LFPs)

Metamodelling of a two-population spiking neural network


[ICCV 2023] You Only Look at One Partial Sequence

Benchmarking Detection Transfer Learning with Vision Transformers

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

MILAN: Masked Image Pretraining on Language Assisted Representation

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


Repository for SEN12MS related codes and utilities

Remote Sensing Image Classification with the SEN12MS Dataset

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Explaining the Effects of Clouds on Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Model Generalization in Deep Learning Applications for Land Cover Mapping


Inferring phylogenetic networks with maximum pseudolikelihood under incomplete lineage sorting

Taxonomic Uncertainty and the Anomaly Zone: Phylogenomics Disentangle a Rapid Radiation to Resolve Contentious Species (Gila robusta Complex) in the Colorado River

Inferring Patterns of Hybridization and Polyploidy in the Plant Genus Penstemon (Plantaginaceae)


:sunflower: pyet is a Python package to estimate reference and potential evaporation.

PyEt - a Python package to estimate potential and reference evapotranspiration


all methods related to Enterobase

The EnteroBase user's guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity

Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms

EFSA journal. European Food Safety Authority

Case-control investigation of invasive Salmonella disease in Malawi reveals no evidence of environmental or animal transmission of invasive strains, and supports human to human transmission

VPsero: Rapid Serotyping of Vibrio parahaemolyticus Using Serogroup-Specific Genes Based on Whole-Genome Sequencing Data


DESI spectral visualization tools

The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra

The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission-line Galaxies

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs


A neural network library built in JavaScript

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

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

Approach for Improving User Interface Based on Gesture Recognition


The Python library for names.

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM
  Agents Exponentially Fast

Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Topic Modeling on Podcast Short-Text Metadata

EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification

Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge


Spectral Clustering for Interstellar Molecular Emission Segmentation

The integrated properties of the molecular clouds from the JCMT CO(3–2) High-Resolution Survey

Monthly Notices of the Royal Astronomical Society

The SEDIGISM survey: molecular clouds in the inner Galaxy

SEDIGISM-ATLASGAL: dense gas fraction and star formation efficiency across the Galactic disc

The SEDIGISM survey: Molecular cloud morphology

Molecular clouds in M51 from high-resolution extinction mapping


MSDNet

Multi-Scale Dense Networks for Resource Efficient Image Classification

Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models

Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks

A Closer Look at Branch Classifiers of Multi-exit Architectures


Tensor Network Learning with PyTorch

Tensor Methods in Computer Vision and Deep Learning

Expressive power of recurrent neural networks

Tensor Train decomposition on TensorFlow (T3F)

Tensor Regression

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

tntorch: Tensor Network Learning with PyTorch

Tensor Networks Meet Neural Networks: A Survey and Future Perspectives


MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multilingual models from Aleph Alpha check out our website https://app.aleph-alpha.com

MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories

Aligning MAGMA by Few-Shot Learning and Finetuning

Towards ethical multimodal systems


EVM disassembler

STAN: Towards Describing Bytecodes of Smart Contract

A Bytecode-based Approach for Smart Contract Classification

CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum


MilliCar - An ns-3 Module for mmWave NR V2X Networks

Toward Standardization of Millimeter-Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation

MilliCar -- An ns-3 Module for mmWave NR V2X Networks

NR V2X Communications at Millimeter Waves: An End-to-End Performance Evaluation


A versatile tool to perform pile-up analysis on Hi-C data in .cool format.

Cooler: scalable storage for Hi-C data and other genomically labeled arrays

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

Coolpup.py: versatile pile-up analysis of Hi-C data

Chromatin organizer SATB1 controls the cell identity of CD4+ CD8+ double-positive thymocytes by compacting super-enhancers

Ultra-long-range interactions between active regulatory elements

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis


TLX - A Collection of Sophisticated C++ Data Structures, Algorithms, and Miscellaneous Helpers

A Critical Analysis of Recursive Model Indexes

Order-Preserving Key Compression for In-Memory Search Trees

There is No Such Thing as an "Index"! or: The next 500 Indexing Papers

Cuckoo Trie: Exploiting Memory-Level Parallelism for Efficient DRAM Indexing

Symposium on Operating Systems Principles

Dynamic Interleaving of Content and Structure for Robust Indexing of Semi-Structured Hierarchical Data

Fine-Tuning Data Structures for Analytical Query Processing


A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

A Survey on Deep Learning for Named Entity Recognition

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework

Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields

TNNT: The Named Entity Recognition Toolkit

Do "English" Named Entity Recognizers Work Well on Global Englishes?

Findings of the Association for Computational Linguistics: EMNLP 2023


Creative Commons Attribution 4.0 International

Security Research from the Microsoft Security Response Center (MSRC)

SoK: Shining Light on Shadow Stacks

Fast Intra-kernel Isolation and Security with IskiOS

Top of the Heap: Efficient Memory Error Protection for Many Heap Objects

Formalizing Stack Safety as a Security Property


3D Monte Carlo radiative transfer code for supernovae/kilonovae

Self-consistent 3D Radiative Transfer for Kilonovae: Directional Spectra from Merger Simulations

Modelling the ionization state of Type Ia supernovae in the nebular phase

Monthly notices of the Royal Astronomical Society


Python/numba code for manipulating time-dependent functions of spin-weighted spherical harmonics on future null infinity

The SXS collaboration catalog of binary black hole simulations

Numerical relativity waveform surrogate model for generically precessing binary black hole mergers

Computation of displacement and spin gravitational memory in numerical relativity

Extending gravitational wave extraction using Weyl characteristic fields

Comparing remnant properties from horizon data and asymptotic data in numerical relativity

Numerical relativity surrogate model with memory effects and post-Newtonian hybridization

Fully relativistic three-dimensional Cauchy-characteristic matching for physical degrees of freedom

Fast and efficient evaluation of gravitational waveforms via reduced-order spline interpolation

Numerical simulations of black hole-neutron star mergers in scalar-tensor gravity


Python IP address to Autonomous System Number lookup module. (Supports fast local lookups, and historical lookups using archived BGP dumps.)

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

The Effect of DNS on Tor's Anonymity

Towards Better Understanding of Bitcoin Unreachable Peers

The Closed Resolver Project: Measuring the Deployment of Inbound Source Address Validation

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

On Blowback Traffic on the Internet


A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning

Deep Learning Improves Prediction Of Drug-Drug And Drug-Food Interactions

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction

CASTER: Predicting Drug Interactions with Chemical Substructure Representation

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations

MatchMaker: A Deep Learning Framework for Drug Synergy Prediction

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

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

Drug-Drug Adverse Effect Prediction with Graph Co-Attention

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

GCN-BMP: Investigating graph representation learning for DDI prediction task


Datasets, code and virtual workspace for the Climate Change ATLAS

An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

On the need of bias adjustment for more plausible climate change projections of extreme heat


Code for the habitat challenge

Habitat: A Platform for Embodied AI Research

Gibson Env: Real-World Perception for Embodied Agents

On Evaluation of Embodied Navigation Agents

Object Goal Navigation using Goal-Oriented Semantic Exploration

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

International Conference on Robotics and Automation

Habitat-Matterport 3D Semantics Dataset


A fast, first order open-access simulator that integrates single plant growth models with inter-plant competition for sun light and water.

Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation

Conference on Automation Science and Engineering

Simulating Polyculture Farming to Learn Automation Policies for Plant Diversity and Precision Irrigation

IEEE Transactions on Automation Science and Engineering

Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants

AlphaGarden: Learning to Autonomously Tend a Polyculture Garden


Quantum Refinement Module

Adaptive quantum mechanics/molecular mechanics methods

Wiley Interdisciplinary Reviews Computational Molecular Science

A Density-Based Adaptive Quantum Mechanical/Molecular Mechanical Method

Chemphyschem : a European journal of chemical physics and physical chemistry

Q|R: quantum-based refinement.

Acta crystallographica. Section D, Structural biology

Toward more efficient density‐based adaptive QM/MM methods

International Journal of Quantum Chemistry

Solving the scalability issue in quantum-based refinement: Q|R#1

Yoink: An interaction‐based partitioning API

Including Crystallographic Symmetry in Quantum-based Refinement: Q|R#2


The Fast Downward domain-independent classical planning system

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Understanding the planning of LLM agents: A survey

Grounding Classical Task Planners via Vision-Language Models

MACQ: A Holistic View of Model Acquisition Techniques

TwoStep: Multi-agent Task Planning using Classical Planners and Large
  Language Models

Planning as Theorem Proving with Heuristics

Exploring and Benchmarking the Planning Capabilities of Large Language Models


Massively multilingual pronunciation mining

Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion

Special Interest Group on Computational Morphology and Phonology Workshop

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness

Enriching Multiword Terms in Wiktionary with Pronunciation Information


YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on.

YOLOv4: Optimal Speed and Accuracy of Object Detection

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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

You Only Look One-level Feature

DETRs Beat YOLOs on Real-time Object Detection

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

PP-YOLOE: An evolved version of YOLO

Focal Modulation Networks

YOLOv6 v3.0: A Full-Scale Reloading

YOLOv10: Real-Time End-to-End Object Detection


Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Co-Production of a 10-m Cropland Extent Map for Continental Africa using Sentinel-2, Cloud Computing, and the Open-Data-Cube


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

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

Large Language Models for Robotics: A Survey

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents


Hyperbolic Graph Neural Networks

Hyperbolic Graph Neural Networks

Graceful Degradation and Related Fields

Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs


HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

Evading Black-box Classifiers Without Breaking Eggs

Geometrically Adaptive Dictionary Attack on Face Recognition


[IMPORTANT: not for real data analysis, only for algorithm evaluation] fast and accurate alignment tool for PacBio and Nanopore long reads

Minimap2: pairwise alignment for nucleotide sequences

Analysis of Transcriptome and Epitranscriptome in Plants Using PacBio Iso-Seq and Nanopore-Based Direct RNA Sequencing

The genome and lifestage-specific transcriptomes of a plant-parasitic nematode and its host reveal susceptibility genes involved in trans-kingdom synthesis of vitamin B5

Catalytically inactive Cas9 impairs DNA replication fork progression to induce focal genomic instability

Characterization and T-DNA insertion sites identification of a multiple-branches mutant br in Betula platyphylla × Betula pendula

Whole-Genome Sequence of Monascus purpureus GB-01, an Industrial Strain for Food Colorant Production

CRISPR-Analytics (CRISPR-A): A platform for precise analytics and simulations for gene editing


Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Revisiting Contextual Toxicity Detection in Conversations

Text Style Transfer with Contrastive Transfer Pattern Mining

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

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Exploring Global Information for Session-based Recommendation

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022

An Academic Text Recommendation Method Based on Graph Neural Network


code associated with crane-nature-2015, 10.1038/nature14450

Condensin-driven remodelling of X chromosome topology during dosage compensation

Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition

Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells

TAD fusion score: discovery and ranking the contribution of deletions to genome structure

Zenodo (CERN European Organization for Nuclear Research)

Quantifying the phase separation property of chromatin-associated proteins under physiological conditions using an anti-1,6-hexanediol index

Integrative Analysis of Genome, 3D Genome, and Transcriptome Alterations of Clinical Lung Cancer Samples

基因组蛋白质组与生物信息学报

Contribution of structural variation to genome structure: TAD fusion discovery and ranking


Counterfactual Samples Synthesizing for Robust VQA

Counterfactual Samples Synthesizing for Robust Visual Question Answering

Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Introspective Distillation for Robust Question Answering

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering


The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

NVAE: A Deep Hierarchical Variational Autoencoder

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

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

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

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Improving the Effectiveness of Deep Generative Data


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

Plug-and-Play Knowledge Injection for Pre-trained Language Models

What Has Been Enhanced in my Knowledge-Enhanced Language Model?


pre-trained Language Models

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

FlauBERT: Unsupervised Language Model Pre-training for French

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning


DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Deep learning in mental health outcome research: a scoping review

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.


Connectivity between the World Wide Charging Protocol (WWCP) and the Open Charge Point Protocol (OCPP v1.6/v2.0.1/v2.1).


R package: TopDom - An efficient and Deterministic Method for identifying Topological Domains in Genomes

Loop extrusion as a mechanism for formation of DNA damage repair foci

Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers

Manipulation of TAD reorganization by chemical-dependent genome linking


PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Towards Precise End-to-end Weakly Supervised Object Detection Network

Cascade Attentive Dropout for Weakly Supervised Object Detection


Short  Text Topic Modeling, JAVA

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

STTM: A Tool for Short Text Topic Modeling

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations

A Gamma-Poisson Mixture Topic Model for Short Text

Diversity-Aware Coherence Loss for Improving Neural Topic Models


Implementation of  Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Flamingo: a Visual Language Model for Few-Shot Learning

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

MEWL: Few-shot multimodal word learning with referential uncertainty

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Active Reasoning in an Open-World Environment


Central Difference Convolutional Networks (CVPR'20)

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Dual-Cross Central Difference Network for Face Anti-Spoofing

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review

Review of Face Presentation Attack Detection Competitions

Automatic adaptive weighted fusion of features-based approach for plant disease identification


Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

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

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision

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


Train Dense Passage Retriever (DPR) with a single GPU

Dense Passage Retrieval for Open-Domain Question Answering

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Condenser: a Pre-training Architecture for Dense Retrieval

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup


Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease

Genome-wide study of the effect of blood collection tubes on the cell-free DNA methylome

Evaluating liquid biopsies for methylomic profiling of prostate cancer

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment

Accurate age prediction from blood using a small set of DNA methylation sites and a cohort-based machine learning algorithm

Chronic graft-versus-host disease is characterized by high levels and distinctive tissue-of-origin patterns of cell-free DNA


Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

SEGA: Instructing Text-to-Image Models using Semantic Guidance

The Stable Artist: Steering Semantics in Diffusion Latent Space

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Semantic Guidance Tuning for Text-To-Image Diffusion Models


[NeurIPS2023] This is the official code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"

Character-Aware Models Improve Visual Text Rendering

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation


nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

International Symposium on Performance Analysis of Systems and Software

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)


Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Pretrained Bidirectional Distillation for Machine Translation


Collapsed Variational Bayes

Temporal mixture modelling of single-cell RNA-seq data resolves a CD4+ T cell fate bifurcation


User Simulation for Task-Completion Dialogues

Deep Reinforcement Learning: An Overview

Neural Approaches to Conversational AI

End-to-End Task-Completion Neural Dialogue Systems

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

A User Simulator for Task-Completion Dialogues

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

Self-Supervised Dialogue Learning

Goal-oriented Dialogue Policy Learning from Failures

User Simulation for Evaluating Information Access Systems

State of the Art of User Simulation approaches for conversational information retrieval


Masked Visual Pre-training for Robotics

Masked Visual Pre-training for Motor Control

Real-World Robot Learning with Masked Visual Pre-training

SORNet: Spatial Object-Centric Representations for Sequential Manipulation


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


Round Eliminator: a tool for automatic speedup simulation

Lower Bounds for Maximal Matchings and Maximal Independent Sets

Classification of distributed binary labeling problems

Distributed Lower Bounds for Ruling Sets

Locally Checkable Problems in Rooted Trees

Truly Tight-in-Δ Bounds for Bipartite Maximal Matching and Variants

Improved Distributed Lower Bounds for MIS and Bounded (Out-)Degree Dominating Sets in Trees

Efficient Classification of Locally Checkable Problems in Regular Trees

Efficient Load-Balancing through Distributed Token Dropping

Online Locality Meets Distributed Quantum Computing


Earl Grey: A fully automated TE curation and annotation pipeline

Earl Grey: a fully automated user-friendly transposable element annotation and analysis pipeline

Myriapod genomes reveal ancestral horizontal gene transfer and hormonal gene loss in millipedes

Transposable Element Interactions Shape the Ecology of the Deer Mouse Genome

A pangenome-guided manually curated library of transposable elements for Zymoseptoria tritici

Chromosomal-level genome assembly of golden birdwing Troides aeacus (Felder & Felder, 1860)

RNaseH-based ribodepletion of total planarian RNA improves detection of longer and non-polyadenylated transcripts


Computing landscape metrics in the Python ecosystem


Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention

Improving Transformers with Probabilistic Attention Keys

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval


Gaussian Processes for Experimental Sciences

Deep Kernel Learning

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials

Physics-driven discovery and bandgap engineering of hybrid perovskites

Deep Kernel Methods Learn Better: From Cards to Process Optimization

Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization

Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins
  via Active Learning

Hypothesis-Driven Automated Experiment in Scanning Probe Microscopy: Exploring the Domain Growth Laws in Ferroelectric Materials

Multiscale structure-property discovery via active learning in scanning
  tunneling microscopy


SONG (Second Order Non-Gaussianity) is a Boltzmann code that computes many observables related to the Cosmic Microwave Background and to the cosmological perturbations at second order in perturbation theory.

Relativistic wide-angle galaxy bispectrum on the light cone

The Intrinsic Matter Bispectrum in ΛCDM

Journal of Cosmology and Astroparticle Physics

Cosmological gravity probes: Connecting recent theoretical developments to forthcoming observations

Primordial non-Gaussianity with μ-type andy-type spectral distortions: exploiting Cosmic Microwave Background polarization and dealing with secondary sources

Precise numerical estimation of the magnetic field generated around recombination

The galaxy bias at second order in general relativity with non-Gaussian initial conditions

Magnetogenesis from isocurvature initial conditions


An easy to use tool for cryptanalysis of symmetric primitives based on SMT/SAT solvers.

Improved Rectangle Attacks on SKINNY and CRAFT

IACR Transactions on Symmetric Cryptology

CDCL(Crypto) SAT Solvers for Cryptanalysis

A bit-vector differential model for the modular addition by a constant and its applications to differential and impossible-differential cryptanalysis

Characteristic automated search of cryptographic algorithms for distinguishing attacks (CASCADA)

Finding Collisions for Round-Reduced Romulus-H


A Fast and Safe Python based on PyPy

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Dynamic Binary Translation for SGX Enclaves

Understanding TEE Containers, Easy to Use? Hard to Trust

A Comprehensive Trusted Runtime for WebAssembly with Intel SGX

IEEE Transactions on Dependable and Secure Computing

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

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

Binary Compatibility For SGX Enclaves


Implementation of Positional Burrows-Wheeler Transform for genetic data

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

Accurate, scalable and integrative haplotype estimation

Efficient haplotype matching and storage using the positional Burrows–Wheeler transform (PBWT)

Assessment of Imputation Quality: Comparison of Phasing and Imputation Algorithms in Real Data

Integrative haplotype estimation with sub-linear complexity

Exploiting parallelization in positional Burrows–Wheeler transform (PBWT) algorithms for efficient haplotype matching and compression


Julia package for finding the spectral measure of structured self adjoint operators

The foundations of spectral computations via the Solvability Complexity Index hierarchy

On the Computation of Geometric Features of Spectra of Linear Operators on Hilbert Spaces

Computing Spectral Measures and Spectral Types

On the infinite-dimensional QR algorithm


A simulation tool to explore the spread of COVID-19 and the impact of prevention measures in small communities such as nursing homes, schools or universities via agent-based modeling (ABM).

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK

Temporal dynamics in viral shedding and transmissibility of COVID-19

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data

Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020

Epidemiology of Covid-19 in a Long-Term Care Facility in King County, Washington


Code for CRATE (Coding RAte reduction TransformEr).

Emergence of Segmentation with Minimalistic White-Box Transformers

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Masked Completion via Structured Diffusion with White-Box Transformers


Semantics for COVID-19 Discovery

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology

Collaborating in the Time of COVID-19: The Scope and Scale of Innovative Responses to a Global Pandemic

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases

Journal of the American Medical Informatics Association : JAMIA

A protocol for adding knowledge to Wikidata, a case report

Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation


Application and data for analyzing and structuring portfolios for climate investing.


Efficient TLS termination inside Intel SGX enclaves for existing applications

Util::Lookup: Exploiting key decoding in cryptographic libraries

STELLA: Sparse Taint Analysis for Enclave Leakage Detection

Using SGX for Meta-Transactions Support in Ethereum DApps


Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/

Automated conservation assessment of the orchid family with deep learning

IUCNN – Deep learning approaches to approximate species' extinction risk


Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Deep Learning on Graphs: A Survey

Better Set Representations For Relational Reasoning

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


OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

Only Train Once: A One-Shot Neural Network Training And Pruning Framework

OTOV2: Automatic, Generic, User-Friendly

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

DistiLLM: Towards Streamlined Distillation for Large Language Models

Automated Search-Space Generation Neural Architecture Search

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators


AtomDB project (www.atomdb.org)

PyAtomDB: Extending the AtomDB Atomic Database to Model New Plasma Processes and Uncertainties

XMM-Newton RGS Spectroscopy of the M31 Bulge. I. Evidence for a Past AGN Half a Million Years Ago

Plasma Diagnostics of the Supernova Remnant N132D using Deep XMM-Newton Observations with the Reflection Grating Spectrometer

R-matrix Electron-impact Excitation Data for the H- and He-like Ions with Z = 6−30

Identifying galaxy cluster mergers with deep neural networks using idealized Compton-y and X-ray maps

Monthly notices of the Royal Astronomical Society

New radiative loss curve from updates to collisional excitation in the low-density, optically thin plasmas in SPEX


Utilities and scripts for working with NEON data. Currently: an R package with functions to join (stack) the month-by-site files in downloaded NEON data, to convert data to geoCSV format, and to download data from the API.

The NEON Daily Isotopic Composition of Environmental Exchanges Dataset


Home of Arachne and other Arkouda functionality provided by researchers at NJIT

Arachne: An Arkouda Package for Large-Scale Graph Analytics

IEEE Conference on High Performance Extreme Computing

High-Performance Truss Analytics in Arkouda

International Conference on High Performance Computing

Contour Algorithm for Connectivity

Property Graphs in Arachne


Code used for sourcing and cleaning the BigScience ROOTS corpus

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

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Scaling Data-Constrained Language Models

In-Context Learning with Many Demonstration Examples

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

Sailor: Open Language Models for South-East Asia


Multi-format in vivo MR spectroscopy conversion to NIFTI

Big GABA: Edited MR spectroscopy at 24 research sites

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

NIfTI‐MRS: A standard data format for magnetic resonance spectroscopy


HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).


HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

Probing the Sea of Cosmic Rays by Measuring Gamma-Ray Emission from Passive Giant Molecular Clouds with HAWC

A search for spectral hardening in HAWC sources above 56 TeV

Spectral and Energy Morphology Analysis Study of HAWC J2031+415

The Ultra-High-Energy Source MGRO J1908+06

The gamma-ray emission from 3HWC J1928+178


bids application for processing functional MRI data, robust to scanner, acquisition and age variability.

The minimal preprocessing pipelines for the Human Connectome Project

Reproducible brain-wide association studies require thousands of individuals

The Insight ToolKit image registration framework

Correction of respiratory artifacts in MRI head motion estimates

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Functional connectome through the human life span

bioRxiv : the preprint server for biology

A precision functional atlas of personalized network topography and probabilities

The positive-negative mode link between brain connectivity, demographics and behaviour: a pre-registered replication of Smith et al. (2015)


a python based software for visualization of neuroanatomical and morphological data.

Behavioral origin of sound-evoked activity in mouse visual cortex

Constructing an adult orofacial premotor atlas in Allen mouse CCF

Brainrender: a python-based software for visualizing anatomically registered data

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

Preliminary validation of a structural magnetic resonance imaging metric for tracking dementia-related neurodegeneration and future decline


Spatial and spectral models for astrophysics

Time-resolved GRB polarization with POLAR and GBM

Is spectral width a reliable measure of GRB emission physics?

Proceedings of 7th International Fermi Symposium — PoS(IFS2017)

HAWC Study of the Ultra-high-energy Spectrum of MGRO J1908+06

A search for spectral hardening in HAWC sources above 56 TeV


Neuronal Morphology Analysis Tool

Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex

A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Reconstructing the brain: from image stacks to neuron synthesis

Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda


Domain-Adversarial Neural Network in Tensorflow

Support and Invertibility in Domain-Invariant Representations

Missing-Class-Robust Domain Adaptation by Unilateral Alignment

IEEE Transactions on Industrial Electronics

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Distributional Adversarial Networks

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch


PyTorch implementation of the position-aware attention model for relation extraction

Position-aware Attention and Supervised Data Improve Slot Filling

Empirical Methods in Natural Language Processing

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

SENT: Sentence-level Distant Relation Extraction via Negative Training

Modeling Multi-Granularity Hierarchical Features for Relation Extraction


KITTI Odometry Evaluation Toolbox

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model

IEEE Transactions on Intelligent Transportation Systems

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

Pose Estimation Utilizing a Gated Recurrent Unit Network for Visual Localization

Transformer-based model for monocular visual odometry: a video understanding approach


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Compact Bilinear Pooling

Grounding of Textual Phrases in Images by Reconstruction

Hadamard Product for Low-rank Bilinear Pooling

Analyzing the Behavior of Visual Question Answering Models

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Dual Recurrent Attention Units for Visual Question Answering

Can you fool AI with adversarial examples on a visual Turing test

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool


Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

A Vertebral Segmentation Dataset with Fracture Grading

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data

Labeling Vertebrae with Two-dimensional Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy.

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors

Domain Generalization for Medical Image Analysis: A Survey

Real-time integration between Microsoft HoloLens 2 and 3D Slicer with demonstration in pedicle screw placement planning

International journal of computer assisted radiology and surgery


Functional Benchmarks and the Reasoning Gap

Mixtral of Experts

Let's Verify Step by Step

Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap


Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.

HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance

State of the Art of Quality Assessment of Facial Images


Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Knowledge-Augmented Language Models for Cause-Effect Relation Classification

Improving Drug–Drug Interaction Extraction with Gaussian Noise


Multi-object image datasets with ground-truth segmentation masks and generative factors.

Object-Centric Learning with Slot Attention

MONet: Unsupervised Scene Decomposition and Representation

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Learning Object-Centric Video Models by Contrasting Sets

Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

Robust and Controllable Object-Centric Learning through Energy-based Models

TUSK: Task-Agnostic Unsupervised Keypoints

Towards Improving the Generation Quality of Autoregressive Slot VAEs

Differentiable Mathematical Programming for Object-Centric Representation Learning

Exploring the Role of the Bottleneck in Slot-Based Models Through Covariance Regularization


Differential Algebra Computational Toolbox

Collision avoidance maneuver optimization with a multiple-impulse convex formulation

Data association and uncertainty pruning for tracks determined on short arcs

Celestial mechanics & dynamical astronomy

On the predictability and robustness of Galileo disposal orbits

Detection and estimation of spacecraft maneuvers for catalog maintenance

Differential algebra methods applied to continuous abacus generation and bifurcation detection: application to periodic families of the Earth–Moon system

Stable sets mapping with Taylor differential algebra with application to ballistic capture orbits around Mars


TruthfulQA: Measuring How Models Imitate Human Falsehoods

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Holistic Evaluation of Language Models

OLMo: Accelerating the Science of Language Models

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Proving Test Set Contamination in Black Box Language Models

Aligning Large Language Models through Synthetic Feedback

Personas as a Way to Model Truthfulness in Language Models

Honesty Is the Best Policy: Defining and Mitigating AI Deception

InstructGraph: Boosting Large Language Models via Graph-centric
  Instruction Tuning and Preference Alignment

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback


Enhanced version of the FastQTL QTL mapper

eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs

Genome-wide association of phenotypes based on clustering patterns of hand osteoarthritis identify WNT9A as novel osteoarthritis gene

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs

Epigenomic profiling of the infrapatellar fat pad in osteoarthritis

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

Systematic visualisation of molecular QTLs reveals variant mechanisms at GWAS loci


Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Unsupervised Attributed Multiplex Network Embedding

Knowledge Graphs Querying


Watermark you artworks to stay away from unauthorized diffusion style mimicry!

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Mist: Towards Improved Adversarial Examples for Diffusion Models

Targeted Attack Improves Protection against Unauthorized Diffusion Customization


PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

End-to-end lossless compression of high precision depth maps guided by pseudo-residual

GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression


Mapping pipeline for data generated using Arima-HiC

Integrating Hi-C links with assembly graphs for chromosome-scale assembly

Six reference-quality genomes reveal evolution of bat adaptations

Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation

Chromosome-scale genome assembly of sweet cherry (Prunus avium L.) cv. Tieton obtained using long-read and Hi-C sequencing

Multifaceted Hi-C benchmarking: what makes a difference in chromosome-scale genome scaffolding?

Austropuccinia psidii, causing myrtle rust, has a gigabase-sized genome shaped by transposable elements

Chromosome-Level Assembly of the Caenorhabditis remanei Genome Reveals Conserved Patterns of Nematode Genome Organization

Chromosome-scale assembly comparison of the Korean Reference Genome KOREF from PromethION and PacBio with Hi-C mapping information

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)


Code for MOPO: Model-based Offline Policy Optimization

COMBO: Conservative Offline Model-Based Policy Optimization

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Model-based Offline Reinforcement Learning with Count-based Conservatism

Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

Planning with Sequence Models through Iterative Energy Minimization

Benchmarks for Reinforcement Learning with Biased Offline Data and
  Imperfect Simulators


Universal Romanizer that can convert any unicode script to roman (latin) script

On Romanization for Model Transfer Between Scripts in Neural Machine Translation

Transliteration for Cross-Lingual Morphological Inflection

Special Interest Group on Computational Morphology and Phonology Workshop

Romanization-based Large-scale Adaptation of Multilingual Language Models

Toxicity Detection for Indic Multilingual Social Media Content

Criteria for Useful Automatic Romanization in South Asian Languages

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in
  Cross-Lingual Textual Relatedness

TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models

HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing


Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN

Creating Valid Adversarial Examples of Malware

EGAN: Evolutional GAN for Ransomware Evasion

IEEE Conference on Local Computer Networks


An STFT/iSTFT for PyTorch.

nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks

Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss

nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks

Toward the pre-cocktail party problem with TasTas+.


Heuristic based boilerplate removal tool

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Adapting taggers to Twitter with not-so-distant supervision

International Conference on Computational Linguistics

FinGPT: Large Generative Models for a Small Language

A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models

Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

Investigating Web Corpus Filtering Methods for Language Model Development in Japanese

North American Chapter of the Association for Computational Linguistics


A code implementation of new papers in the time series forecasting field.

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

TSMixer: An All-MLP Architecture for Time Series Forecasting

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting


Pytorch implementation of set transformer

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Hyperbolic Neural Networks++

On The Adversarial Robustness of 3D Point Cloud Classification

On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks

Adversarial Permutation Guided Node Representations for Link Prediction

Regularizing Towards Permutation Invariance in Recurrent Models

Learning to Pool in Graph Neural Networks for Extrapolation


Soil-Vegetation-Atmosphere Transfer (SVAT) model


Join Order Benchmark (JOB)

An End-to-End Learning-based Cost Estimator

Free Join: Unifying Worst-Case Optimal and Traditional Joins

Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates

Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks

Analyzing Query Optimizer Performance in the Presence and Absence of Cardinality Estimates


Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved
  Diffusion Models


In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo

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

Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach

Towards a Universal Features Set for IoT Botnet Attacks Detection

Darknet traffic classification and adversarial attacks using machine learning

Effective Anomaly Detection Using Deep Learning in IoT Systems

Wireless Communications and Mobile Computing

On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers

APT-Attack Detection Based on Multi-Stage Autoencoders

Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches

Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Representation Learning with Contrastive Predictive Coding

Deep Variational Information Bottleneck

On Variational Bounds of Mutual Information

A Differential Entropy Estimator for Training Neural Networks

Learning Disentangled Representations of Negation and Uncertainty

AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding

Separating common from salient patterns with Contrastive Representation
  Learning


Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

A Hierarchical Latent Structure for Variational Conversation Modeling

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

Human-centric Dialog Training via Offline Reinforcement Learning

Hierarchical Reinforcement Learning for Open-Domain Dialog

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

ManiGAN: Text-Guided Image Manipulation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation

Towards Open-World Text-Guided Face Image Generation and Manipulation

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild

TediGAN: Text-Guided Diverse Image Generation and Manipulation

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct
  Cross-modal Mapping and Geometric Regularization