Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Learning Neural Templates for Text Generation

Empirical Methods in Natural Language Processing


Baseline method for sound event localization task of DCASE 2022 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

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

Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training

STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

Two vs. Four-Channel Sound Event Localization and Detection


Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Graph Self-Supervised Learning: A Survey

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

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

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning


Dual Graph Convolution Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Revisiting Semi-Supervised Learning with Graph Embeddings

Deep Learning on Graphs: A Survey


Python package for combining diarization system outputs.

DOVER-Lap: A Method for Combining Overlap-aware Diarization Outputs

The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap

DOVER: A Method for Combining Diarization Outputs

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem

PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System


A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

Deep Residual Learning for Image Recognition

Deep Networks with Stochastic Depth

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

SWNet: Small-World Neural Networks and Rapid Convergence

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning

Confidence Calibration with Bounded Error Using Transformations

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning


Learn rule lists from data for classification, regression or subgroup discovery

Interpretable multiclass classification by MDL-based rule lists

Discovering outstanding subgroup lists for numeric targets using MDL

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT I

Robust subgroup discovery


PowerJoular allows monitoring power consumption of multiple platforms and processes.

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem


SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727

Character-Level Question Answering with Attention

Improving Question Answering over Knowledge Graphs Using Graph Summarization


PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Learning Graph Embeddings for Compositional Zero-shot Learning

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning


Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

EVC: Towards Real-Time Neural Image Compression with Mask Decay

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression

Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs


Alignment and annotation for comparable documents.

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs

International Joint Conference on Natural Language Processing

Parallel Text Alignment and Monolingual Parallel Corpus Creation from Philosophical Texts for Text Simplification

North American Chapter of the Association for Computational Linguistics


UniCausal: Unified Benchmark and Repository for Causal Text Mining

Causal Augmentation for Causal Sentence Classification

Proceedings of the First Workshop on Causal Inference and NLP


An unofficial implementation of "Learning-based Video Motion Magnification" in Pytorch.

Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic
  Architecture


Mollecular Functional Portraits

Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer

MIF is a critical regulator of mononuclear phagocytic infiltration in hepatocellular carcinoma

Immune microenvironment heterogeneity reveals distinct subtypes in neuroblastoma: insights into prognosis and therapeutic targets


A simulation of the true impact on climate and CO2 emissions of an electric car vs a traditional gasoline car, based on science.


Development version of vioplot R package (CRAN maintainer)

SambaR: an R package for fast, easy and reproducible population-genetic analyses of biallelic SNP datasets

A global ecological signal of extinction risk in terrestrial vertebrates

Conservation biology : the journal of the Society for Conservation Biology

Ten more years of discovery: revisiting the quality of the sauropodomorph dinosaur fossil record

Intracellular Localization in Zebrafish Muscle and Conserved Sequence Features Suggest Roles for Gelatinase A Moonlighting in Sarcomere Maintenance

The revised reference genome of the leopard gecko (Eublepharis macularius) provides insight into the considerations of genome phasing and assembly

bioRxiv : the preprint server for biology

A co‐development approach to conservation leads to informed habitat design and rapid establishment of amphibian communities

Optical and biogeochemical properties of Belgian inland and coastal waters

Shared Numerosity Representations Across Formats and Tasks Revealed with 7 Tesla fMRI: Decoding, Generalization, and Individual Differences in Behavior

Disease-associated DNA2 nuclease–helicase protects cells from lethal chromosome under-replication

Negligible Quantities of Particulate Low-Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River


Evaluation metrics to compare AMR graphs based on Smatch

An Incremental Parser for Abstract Meaning Representation

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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

Ensembling Graph Predictions for AMR Parsing

Hierarchical Curriculum Learning for AMR Parsing

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics

Bridging Semantic Frameworks: mapping DRS onto AMR

International Conference on Computational Semantics


Learning and Building Convolutional Neural Networks using PyTorch

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

YOLOv3: An Incremental Improvement


Turbospectrum Spectral Fitting with Python (TSFitPy)

Spectacular Nucleosynthesis from Early Massive Stars

Observational constraints on the origin of the elements. VIII. Constraining the Barium, Strontium and Yttrium chemical evolution in metal-poor stars

The GALAH survey: tracing the Milky Way's formation and evolution through RR Lyrae stars

Monthly notices of the Royal Astronomical Society


HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

LM-VC: Zero-Shot Voice Conversion via Speech Generation Based on Language Models

Distinctive and Natural Speaker Anonymization via Singular Value Transformation-Assisted Matrix

Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation-based Voice Conversion


Entity resolution using zero labeled examples

ZeroER: Entity Resolution using Zero Labeled Examples

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

Ground Truth Inference for Weakly Supervised Entity Matching

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms


Power Market Tool for the comprehensive analyses of modern electricity markets (Python+Julia)

Fast Security-Constrained Optimal Power Flow Through Low-Impact and Redundancy Screening

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe


Public collection of firewall dumps.

Agile Network Access Control in the Container Age

IEEE Transactions on Network and Service Management

Verified iptables Firewall Analysis and Verification

Semantics-Preserving Simplification of Real-World Firewall Rule Sets

Continuous Verification of Network Security Compliance

Directed Security Policies: A Stateful Network Implementation

Privacy Assessment Using Static Taint Analysis (Tool Paper)

Certifying Spoofing-Protection of Firewalls

Conference on Network and Service Management

Provably Secure Networks: Methodology and Toolset for Configuration Management


Pytorch implementation of Quaternion Knowledge Graph Embeddings.

Quaternion Knowledge Graph Embeddings

Relational Message Passing for Knowledge Graph Completion

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models

Type-augmented Relation Prediction in Knowledge Graphs

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

BiQUE: Biquaternionic Embeddings of Knowledge Graphs


[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang;      [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Graph Contrastive Learning with Augmentations

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

Graph Contrastive Learning Automated

Graph Self-supervised Learning with Accurate Discrepancy Learning

State of the Art and Potentialities of Graph-level Learning

Spectral Augmentations for Graph Contrastive Learning


4C-seq  processing pipeline

A cis-regulatory element regulates ERAP2 expression through autoimmune disease risk SNPs

Systematic decoding of cis gene regulation defines context-dependent control of the multi-gene costimulatory receptor locus in human T cells

An optimized 4C-seq protocol based on cistrome and epigenome data in the mouse RAW264.7 macrophage cell line

Zenodo (CERN European Organization for Nuclear Research)


Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Learning both Weights and Connections for Efficient Neural Networks

Pruning Filters for Efficient ConvNets

Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation


This project is the Torch implementation of our  accepted CVPR 2019 paper,  Iterative Normalization: Beyond Standardization towards Efficient Whitening

Decorrelated Batch Normalization

Approximated Orthonormal Normalisation in Training Neural Networks


Graph Neural Network based Social Recommendation Model. SIGIR2019.

A Neural Influence Diffusion Model for Social Recommendation

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Robust Preference-Guided Denoising for Graph based Social Recommendation


Toolkit for evolutionary analyses of linkage groups

Chromosome Fissions and Fusions Act as Barriers to Gene Flow between Brenthis Fritillary Butterflies

Inferring inter-chromosomal rearrangements and ancestral linkage groups from synteny

Do chromosome rearrangements fix by genetic drift or natural selection? A test inBrenthisbutterflies


TSCAN: Tools for Single-Cell ANalysis

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis

Single cell transcriptome research in human placenta

GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge

Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach


A Library For Dense Retrieval Oriented Vector Quantization

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Matching-oriented Embedding Quantization For Ad-hoc Retrieval

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

ChEX: Interactive Localization and Region Description in Chest X-rays


code2seq: Generating Sequences from Structured Representations of Code

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

Improved Automatic Summarization of Subroutines via Attention to File Context

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks


When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo

Automated model discovery for human brain using Constitutive Artificial Neural Networks

Principal-stretch-based constitutive neural networks autonomously discover a subclass of Ogden models for human brain tissue

Automated model discovery for skin: Discovering the best model, data, and experiment

On sparse regression, Lp-regularization, and automated model discovery

Automated model discovery for human cardiac tissue: Discovering the best model and parameters


How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

Automatic Speech Recognition Benchmark for Air-Traffic Communications

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


PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac

PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers


HyperShot: Few-Shot Learning by Kernel HyperNetworks

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks

Hypernetwork approach to Bayesian MAML


DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

Key-value information extraction from full handwritten pages

End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940


code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization


Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting


SynVisio is an interactive multiscale visualization tool that lets you explore the results of McScanX a popular synteny and collinearity detection toolkit.

Multiple wheat genomes reveal global variation in modern breeding

High contiguity long read assembly of Brassica nigra allows localization of active centromeres and provides insights into the ancestral Brassica genome

PearMODB: a multiomics database for pear (Pyrus) genomics, genetics and breeding study

Database : the journal of biological databases and curation

Phylloxera and Aphids Show Distinct Features of Genome Evolution Despite Similar Reproductive Modes


MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

BERTScore: Evaluating Text Generation with BERT

Re-evaluating Evaluation in Text Summarization

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

How well do you know your summarization datasets?

Evaluating the Efficacy of Summarization Evaluation across Languages

Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics

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

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality


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

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

Conference on Computer and Communications Security

Robust log-based anomaly detection on unstable log data

Proceedings of the 44th International Conference on Software Engineering

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection

A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection


LexRank algorithm for text summarization

Self-Supervised and Controlled Multi-Document Opinion Summarization

Frustratingly Easy Model Ensemble for Abstractive Summarization

Empirical Methods in Natural Language Processing

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

Dialect Diversity in Text Summarization on Twitter

CiteBench: A benchmark for Scientific Citation Text Generation

Argumentative Text Generation in Economic Domain

Computational Linguistics and Intellectual Technologies

Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions

Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents

Proceedings of the 33rd ACM Conference on Hypertext and Social Media

Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization

Diverse Content Selection for Educational Question Generation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop


Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

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

基因组蛋白质组与生物信息学报

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences

Construction of continuously expandable single-cell atlases through integration of heterogeneous datasets in a generalized cell-embedding space


C# client for General Bikeshare Feed Specification (GBFS)


Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition

Aligning Language Models with Human Preferences via a Bayesian Approach


customizable pipeline to identify viral sequences from (meta)genomic data

A catalogue of 1,167 genomes from the human gut archaeome

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing

Protocol for the isolation, sequencing, and analysis of the gut phageome from human fecal samples

Current trends in RNA virus detection through metatranscriptome sequencing data


Fish for line detections by exploiting the known velocity structure of the disk.

Molecules with ALMA at Planet-forming Scales (MAPS). XVII. Determining the 2D Thermal Structure of the HD 163296 Disk

Sulphur monoxide emission tracing an embedded planet in the HD 100546 protoplanetary disk

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Molecules with ALMA at Planet-forming Scales (MAPS). XVI. Characterizing the Impact of the Molecular Wind on the Evolution of the HD 163296 System

UV-driven chemistry as a signpost of late-stage planet formation

Discovery of Molecular-line Polarization in the Disk of TW Hya

Kinematic Structures in Planet-Forming Disks

PRODIGE -- Planet-forming disks in Taurus with NOEMA. I. Overview and
  first results for 12CO, 13CO, and C18O


Codon Usage Analysis and Prediction  of Gene Expressivity

Translation and natural selection of micropeptides from long non-canonical RNAs

DAZL mediates a broad translational program regulating expansion and differentiation of spermatogonial progenitors

Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning

Evolution of Transmissible Gastroenteritis Virus (TGEV): A Codon Usage Perspective

Comprehensive Analysis of Codon Usage on Porcine Astrovirus

Codon usage bias and dinucleotide preference in 29 Drosophila species

Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics

Evolutionary Patterns of Codon Usage in Major Lineages of Porcine Reproductive and Respiratory Syndrome Virus in China

Putative novel hydrogen- and iron-oxidizing sheath-producing Zetaproteobacteria thrive at the Fåvne deep-sea hydrothermal vent field


Module for generating simulated quasar spectra

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

The Faint End of the z = 5 Quasar Luminosity Function from the CFHTLS

Two more, bright, z > 6 quasars from VST ATLAS and WISE

Monthly Notices of the Royal Astronomical Society

The Extremely Luminous Quasar Survey in the Pan-STARRS 1 Footprint (PS-ELQS)

The Astrophysical Journal Supplement Series

The Extremely Luminous Quasar Survey in the Sloan Digital Sky Survey Footprint. II. The North Galactic Cap Sample

A Mock Catalog of Gravitationally-lensed Quasars for the LSST Survey

Paving the Way for Euclid and JWST via Optimal Selection of High-z Quasars

When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multiband Imaging Data

Synthetic spectra for Lyman-α forest analysis in the Dark Energy Spectroscopic Instrument

New measurements of the Lyman-α forest continuum and effective
  optical depth with LyCAN and DESI Y1 data


The Role of Multiplicative Complexity in Compiling Low T-count Oracle Circuits

Xor-And-Inverter Graphs for Quantum Compilation

ROS: Resource-constrained Oracle Synthesis for Quantum Computers


The CosmoSIS parameter estimation library.

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

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

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

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

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

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


Cynical data selection

Cynical Selection of Language Model Training Data

Data Selection with Cluster-Based Language Difference Models and Cynical Selection

Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)


21cm code

Simulating the 21 cm signal from reionization including non-linear ionizations and inhomogeneous recombinations

Evaluating machine learning techniques for predicting power spectra from reionization simulations

Monthly notices of the Royal Astronomical Society

Constraining the reionization history using deep learning from 21-cm tomography with the Square Kilometre Array

A short introduction to reionization physics

21 cm line signal from magnetic modes

Journal of Cosmology and Astroparticle Physics

KERN

Probing early Universe through redshifted 21-cm signal: Modeling and observational challenges

A full treatment of peculiar velocities on the reionization light cone

Contribution of Galactic free–free emission to the foreground for EoR signal in SKA experiments

Emulating radiation transport on cosmological scale using a denoising Unet


Targeted Learning for Survival Analysis

Improved estimation of the cumulative incidence of rare outcomes

Inference for Treatment-Specific Survival Curves Using Machine Learning

One-step Targeted Maximum Likelihood for Time-to-event Outcomes


BrainPainter - Brain Visualisation Software

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes

Differences in topological progression profile among neurodegenerative diseases from imaging data

Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks

Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy


Standard tools and protocols for MiSeq amplicon sequencing of 16S rRNA genes

Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance

The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young

New Primers for Discovering Fungal Diversity Using Nuclear Large Ribosomal DNA

Nutritional, Microbial, and Allergenic Changes during the Fermentation of Cashew ‘Cheese’ Product Using a Quinoa-Based Rejuvelac Starter Culture

Preen gland microbiota covary with major histocompatibility complex genotype in a songbird

Multiple Fungi May Connect the Roots of an Orchid (Cypripedium reginae) and Ash (Fraxinus nigra) in Western Newfoundland

Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing


Optimal identification of H ii regions during reionization in 21-cm observations

Neutral island statistics during reionization from 21-cm tomography

Machine learning astrophysics from 21 cm lightcones: impact of network architectures and signal contamination

Tools21cm: A python package to analyse the large-scale 21-cm signal from the Epoch of Reionization and Cosmic Dawn

Inferring the properties of the sources of reionization using the morphological spectra of the ionized regions

The impact of inhomogeneous subgrid clumping on cosmic reionization – II. Modelling stochasticity

The large-scale 21-cm power spectrum from reionization

Exploring the likelihood of the 21-cm power spectrum with simulation-based inference

PINION: Physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization

Evaluating Summary Statistics with Mutual Information for Cosmological Inference


Calculate distances between phylogenetic trees in R

The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain

Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models

Complete plastid genome of Iris orchioides and comparative analysis with 19 Iris plastomes


This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning


DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

Differentiable Bayesian Structure Learning with Acyclicity Assurance


Nonlinear optical pulse propagator

Soliton self-compression and resonant dispersive wave emission in higher-order modes of a hollow capillary fibre

Spectroscopic application of few-femtosecond deep-ultraviolet laser pulses from resonant dispersive wave emission in a hollow capillary fibre

Efficient and compact source of tuneable ultrafast deep ultraviolet laser pulses at 50 kHz repetition rate

Optical solitons in hollow-core fibres

The effect of nonlinear lensing on the coupling of ultrafast laser pulses to hollow-core waveguides


PACKMAN: PACKing and Motion ANalysis

Entropies Derived from the Packing Geometries within a Single Protein Structure

PACKMAN-Molecule: Python toolbox for structural bioinformatics

Coarse-graining protein structures into their dynamic communities with DCI, a dynamic community identifier


DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Network Traffic Classification based on Single Flow Time Series Analysis

NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification


An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"

Winning the NIST Contest: A scalable and general approach to differentially private synthetic data

PrivSyn: Differentially Private Data Synthesis

Benchmarking Differentially Private Synthetic Data Generation Algorithms

New Oracle-Efficient Algorithms for Private Synthetic Data Release

Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods

Relaxed Marginal Consistency for Differentially Private Query Answering

Understanding how Differentially Private Generative Models Spend their Privacy Budget

DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation

CuTS: Customizable Tabular Synthetic Data Generation


mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data

Use of Whole-Genome Sequencing for Mitochondrial Disease Diagnosis

Low disease risk and penetrance in Leber hereditary optic neuropathy


[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning


Enhancements of HCP Pipelines for non-human primates

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing

The nonhuman primate neuroimaging and neuroanatomy project

Comparative connectomics of the primate social brain

Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain

The NonHuman Primate Neuroimaging & Neuroanatomy Project

Transient brain activity dynamics discriminate levels of consciousness during anesthesia


The myth, the legend, the model... ExoCAM!

Persistence of flare-driven atmospheric chemistry on rocky habitable zone worlds

The Atmospheric Circulation and Climate of Terrestrial Planets Orbiting Sun-like and M Dwarf Stars over a Broad Range of Planetary Parameters

TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI): motivations and protocol version 1.0

Clouds will Likely Prevent the Detection of Water Vapor in JWST Transmission Spectra of Terrestrial Exoplanets

Dim Prospects for Transmission Spectra of Ocean Earths around M Stars

The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). III. Simulated Observables—the Return of the Spectrum

The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases—The Fellowship of the GCMs

The First Habitable-zone Earth-sized Planet from TESS. III. Climate States and Characterization Prospects for TOI-700 d

Water Ice Cloud Variability and Multi-epoch Transmission Spectra of TRAPPIST-1e

Effects of Radius and Gravity on the Inner Edge of the Habitable Zone


[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware
  Decoding

Uncovering Safety Risks in Open-source LLMs through Concept Activation
  Vector


matlab and python wrap of crf and dense crf, both 2d and 3d are supported

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

Critic Guided Segmentation of Rewarding Objects in First-Person Views

EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction


Distributed-memory, double-precision, polar decomposition (QDWH/ZOLO-PD) of a dense matrix, svd (QDWH/ZOLOPD-SVD) of a dense matrix

Stable and Efficient Spectral Divide and Conquer Algorithms for the Symmetric Eigenvalue Decomposition and the SVD

A High Performance QDWH-SVD Solver Using Hardware Accelerators

ACM Transactions on Mathematical Software

High Performance Polar Decomposition on Distributed Memory Systems


A Python implementation of the brain connectivity toolbox. **Not actively maintained.**

Time-resolved structure-function coupling in brain networks

Network topology of the marmoset connectome

Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation

Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole‐brain modeling

Alzheimer's & dementia : the journal of the Alzheimer's Association

Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses

Gaming expertise induces meso-scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling

bioRxiv : the preprint server for biology


A Python version of KinMS (github.com/TimothyADavis/KinMS)

Being KLEVER at cosmic noon: Ionized gas outflows are inconspicuous in low-mass star-forming galaxies but prominent in massive AGN hosts

The MBHBM star Project. I. Measurement of the Central Black Hole Mass in Spiral Galaxy NGC 3504 Using Molecular Gas Kinematics

WISDOM project - VIII. Multiscale feedback cycles in the brightest cluster galaxy NGC 0708

Evidence of Wind Signatures in the Gas Velocity Profiles of Red Geysers

The Complex Gaseous and Stellar Environments of the Nearby Dual Active Galactic Nucleus Mrk 739

Using machine learning to study the kinematics of cold gas in galaxies

A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics

The ALMaQUEST Survey XIV: do radial molecular gas flows affect the star-forming ability of barred galaxies?

Cool interstellar medium as an evolutionary tracer in ALMA-observed local dusty early-type galaxies

Kinematics of molecular gas in star-forming galaxies with large-scale ionized outflows


R package to estimate public transport emissions based on GTFS data


Large scale ice-flow model

Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2)

The tipping points and early-warning indicators for Pine Island Glacier, West Antarctica

Two-timescale response of a large Antarctic ice shelf to climate change

Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice shelf geometry

Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica

Nunataks as barriers to ice flow: implications for palaeo ice sheet reconstructions


Download geospatial data from GISCO API - Eurostat


Determine pixel coordinates for TESS targets

Variability of OB stars from TESS southern Sectors 1-13 and high-resolution IACOB and OWN spectroscopy

Zenodo (CERN European Organization for Nuclear Research)

The TESS Faint-star Search: 1617 TOIs from the TESS Primary Mission

Searching for Giant Exoplanets around M-dwarf Stars (GEMS) I: Survey Motivation


MQT QECC - Tools for Quantum Error Correcting Codes

Decoding quantum color codes with MaxSAT

Software Tools for Decoding Quantum Low-Density Parity-Check Codes

Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction

Analog information decoding of bosonic quantum LDPC codes

Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error Correction Codes

Decoding algorithms for surface codes


[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation


Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric

XOX Fabric: A hybrid approach to blockchain transaction execution

Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers

Improving Energy Efficiency of Permissioned Blockchains Using FPGAs


A web service for semi-automated conversion of raw imaging data to BIDS

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

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

ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms


GriSPy is a regular grid search algorithm for quick nearest-neighbor lookup.

GriSPy: A Python package for fixed-radius nearest neighbors search

Measuring the surface mass density ellipticity of redMaPPer galaxy clusters using weak lensing

On the weak-lensing masses of a new sample of galaxy groups


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

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

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

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


Environment Data Model


ASDL: Automatic Second-order Differentiation Library for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Laplace Redux - Effortless Bayesian Deep Learning

Shampoo: Preconditioned Stochastic Tensor Optimization

Laplace Redux -- Effortless Bayesian Deep Learning

ASDL: A Unified Interface for Gradient Preconditioning in PyTorch

Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks


Gravitational-wave Electromagnetic Lightcurves

A kilonova as the electromagnetic counterpart to a gravitational-wave source

Constraints on the neutron star equation of state from AT2017gfo using radiative transfer simulations

A luminosity distribution for kilonovae based on short gamma-ray burst afterglows

Implications of the search for optical counterparts during the second part of the Advanced LIGO's and Advanced Virgo's third observing run: lessons learned for future follow-up observations

Toward Rapid Transient Identification and Characterization of Kilonovae

Measuring the Hubble constant with a sample of kilonovae

Predicting electromagnetic counterparts using low-latency gravitational-wave data products


micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

An Open MRI Dataset For Multiscale Neuroscience

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Atypical intrinsic neural timescales in temporal lobe epilepsy

Shifts in structural connectome organization in the limbic and sensory systems of patients with episodic migraine


Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

Gradient Episodic Memory for Continual Learning

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent

Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Multi-Task Learning as Multi-Objective Optimization

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

Towards Impartial Multi-task Learning

International Conference on Learning Representations

Multi-Task Learning as a Bargaining Game

Federated Learning Meets Multi-Objective Optimization


Ruby gem for finding citations of open scientific code

marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R

Spatial and Temporal Trends of Global Pollination Benefit

Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy

Effectiveness of a Safe Routes to School Program in Preventing School-Aged Pedestrian Injury

Genome-Wide Association Study of Lp-PLA2 Activity and Mass in the Framingham Heart Study

NeatMap - non-clustering heat map alternatives in R

Advances in Linking Wintering Migrant Birds to Their Breeding-Ground Origins Using Combined Analyses of Genetic and Stable Isotope Markers

Seasonal Response of Grasslands to Climate Change on the Tibetan Plateau

A Geospatial Modelling Approach Integrating Archaeobotany and Genetics to Trace the Origin and Dispersal of Domesticated Plants

Assessing Species Distribution Using Google Street View: A Pilot Study with the Pine Processionary Moth


NIPS 2017 Adversarial Competition in PyTorch

Ensemble Adversarial Training: Attacks and Defenses

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective


A GPU accelerated branch of presto, open source pulsar search and analysis toolkit. http://www.cv.nrao.edu/~sransom/presto/

Enabling pulsar and fast transient searches using coherent dedispersion

Discoveries and timing of pulsars in NGC 6440

Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm

Coherent search for binary pulsars across all Five Keplerian parameters in radio observations using the template-bank algorithm

A GPU implementation of the harmonic sum algorithm

Discovery and timing of ten new millisecond pulsars in the globular cluster Terzan 5

The TRAPUM Small Magellanic Cloud pulsar survey with MeerKAT:I. Discovery of seven new pulsars and two Pulsar Wind Nebula associations


Convolutional Neural Tangent Kernel

On Exact Computation with an Infinitely Wide Neural Net

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets


Remote Sensing Image Classification Benchmark for Deep Learning

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification

Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering

Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition


Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces

Unsupervised Manifold Alignment with Joint Multidimensional Scaling

Adaptive Softassign via Hadamard-Equipped Sinkhorn


EEG microstate analysis

EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant

Information-Theoretical Analysis of EEG Microstate Sequences in Python

Functional network dynamics revealed by EEG microstates reflect cognitive decline in amyotrophic lateral sclerosis

CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models


Riemannian stochastic optimization algorithms: Version 1.0.3

Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Riemannian Stochastic Recursive Gradient Algorithm

International Conference on Machine Learning

Projection-free nonconvex stochastic optimization on Riemannian manifolds

Riemannian stochastic variance reduced gradient on Grassmann manifold

Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods.

Riemannian Natural Gradient Methods


DeepLabv3+ inference and training in MATLAB for Semantic Segmentation

A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies

Deep ensembles in bioimage segmentation


A new open source and web tool to estimate actual ET based on SEBAL model.

Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin

A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas

Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing

Isprs Journal of Photogrammetry and Remote Sensing

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil


This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing

A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing

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

An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images

IEEE Transactions on Geoscience and Remote Sensing


A legacy repository. Was replaced by distiller, cooler, and cooltools.

High-quality genome assembly and resequencing of modern cotton cultivars provide resources for crop improvement

Centromere Interactions Promote the Maintenance of the Multipartite Genome in Agrobacterium tumefaciens

Sensitivity of cohesin–chromatin association to high-salt treatment corroborates non-topological mode of loop extrusion


Notes on SNP-related tools and genome variation analysis

DELLY: structural variant discovery by integrated paired-end and split-read analysis

CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

LUMPY: a probabilistic framework for structural variant discovery

The ENCODE Blacklist: Identification of Problematic Regions of the Genome

A universal SNP and small-indel variant caller using deep neural networks

Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data

A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

International journal of methods in psychiatric research


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

Do ImageNet Classifiers Generalize to ImageNet?

Shakedrop Regularization for Deep Residual Learning

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


ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

Diffusion Posterior Sampling for General Noisy Inverse Problems

Improving Diffusion Models for Inverse Problems using Manifold Constraints

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Pyramidal Denoising Diffusion Probabilistic Models

Manifold Preserving Guided Diffusion

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference


DeepSign: Deep On-Line Signature Verification

IEEE Transactions on Biometrics, Behavior, and Identity Science

SVC-onGoing: Signature Verification Competition

DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations

Exploiting complexity in pen- and touch-based signature biometrics

International Journal on Document Analysis and Recognition (IJDAR)

ICDAR 2021 Competition on On-Line Signature Verification

Introduction to Presentation Attacks in Signature Biometrics and Recent Advances


This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.

The weirdest SDSS galaxies: results from an outlier detection algorithm

Monthly Notices of the Royal Astronomical Society

Machine Learning in Astronomy: a practical overview

Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars

Characterization of Supernovae Based on the Spectral–Temporal Energy Distribution: Two Possible SN Ib Subtypes


Official Repository for "The Curious Case of Neural Text Degeneration"

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

MAUVE Scores for Generative Models: Theory and Practice

Leveraging Pre-trained Models for Failure Analysis Triplets Generation

FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy


Review article: the human intestinal virome in health and disease

Human Virome and Disease: High-Throughput Sequencing for Virus Discovery, Identification of Phage-Bacteria Dysbiosis and Development of Therapeutic Approaches with Emphasis on the Human Gut

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Viral Diagnostics in Plants Using Next Generation Sequencing: Computational Analysis in Practice

Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome

Mosquito-Borne Viral Diseases: Control and Prevention in the Genomics Era

Vector-Borne Diseases - Recent Developments in Epidemiology and Control


Reference implementations for RecurJac, CROWN, FastLin and FastLip  (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]

Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

Algorithms for Verifying Deep Neural Networks

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications


Graduated Non-Convexity (GNC) and Adaptive Trimming (ADAPT) algorithms for outlier robust estimation

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and Guarantees


This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering

Forgetting Fast in Recommender Systems

Density-Ratio Based Personalised Ranking from Implicit Feedback


A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

Can Automatic Post-Editing Improve NMT?

Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT

Empirical Methods in Natural Language Processing

Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs

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

OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)


SIGN: Scalable Inception Graph Network

SIGN: Scalable Inception Graph Neural Networks

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Node Dependent Local Smoothing for Scalable Graph Learning

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

IGLU: Efficient GCN Training via Lazy Updates

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach


A codebase that makes differentially private training of transformers easy.

Large Language Models Can Be Strong Differentially Private Learners

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

When Does Differentially Private Learning Not Suffer in High Dimensions?

Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy

Provably Confidential Language Modelling

DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Coupling public and private gradient provably helps optimization


Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

Diffusion Posterior Sampling for General Noisy Inverse Problems

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Prompt-tuning latent diffusion models for inverse problems

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles

Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference

Kernel Diffusion: An Alternate Approach to Blind Deconvolution


Code and links for over 25,000 trained Atari agents

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dopamine: A Research Framework for Deep Reinforcement Learning

Munchausen Reinforcement Learning

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments


Integrated path-based and distributional method for hypernymy detection

DyNet: The Dynamic Neural Network Toolkit

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths


[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Parameterized Explainer for Graph Neural Network

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism

Learning Invariant Molecular Representation in Latent Discrete Space

Interpretable Prototype-based Graph Information Bottleneck


Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

MetaSDF: Meta-learning Signed Distance Functions

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Meta-learning Spiking Neural Networks with Surrogate Gradient Descent

Improving Multi-Task Generalization via Regularizing Spurious Correlation

Jersey number detection using synthetic data in a low-data regime

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture


Event network analyzer (eventnet): statistical analysis of networks of relational events.

Reliability of relational event model estimates under sampling: How to fit a relational event model to 360 million dyadic events

Dynamic network analysis of contact diaries

Micro-level network dynamics of scientific collaboration and impact: Relational hyperevent models for the analysis of coauthor networks

Relational hyperevent models for polyadic interaction networks

Relational hyperevent models for the coevolution of coauthoring and citation networks

Replication data for: Occupations and their impact on the spreading of COVID-19 in urban communities


Dynamic Analysis for Concurrent Programs

What Happens - After the First Race? Enhancing the Predictive Power of Happens - Before Based Dynamic Race Detection

Optimal Prediction of Synchronization-Preserving Races

Atomicity Checking in Linear Time using Vector Clocks

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Data Race Detection on Compressed Traces

Sound Dynamic Deadlock Prediction in Linear Time

RegionTrack: A Trace-based Sound and Complete Checker to Debug Transactional Atomicity Violations and Non-Serializable Traces

Predictive Monitoring against Pattern Regular Languages

Optimistic Prediction of Synchronization-Reversal Data Races


A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Memory-free Online Change-point Detection: A Novel Neural Network Approach


This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine Translation"

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

Capturing document context inside sentence-level neural machine translation models with self-training

A Comparison of Approaches to Document-level Machine Translation


MASS: Multi-Attentional Semantic Segmentation ofLiDAR Data for Dense Top-View Understanding

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding


Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"

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

Hard-Coded Gaussian Attention for Neural Machine Translation

Meeting of the Association for Computational Linguistics


Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019

Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks

SAITS: Self-Attention-based Imputation for Time Series

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

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


Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Graph Self-Supervised Learning: A Survey

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

A Comprehensive Survey on Community Detection With Deep Learning

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

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

Multiplex Heterogeneous Graph Convolutional Network

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

Spectral Clustering of Attributed Multi-relational Graphs

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs


Include MuCAN, LAPAR, etc.

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

Best-Buddy GANs for Highly Detailed Image Super-Resolution

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU


Generalized Optimal Sparse Decision Trees

Generalized and Scalable Optimal Sparse Decision Trees

Fast Sparse Decision Tree Optimization via Reference Ensembles

Connecting Interpretability and Robustness in Decision Trees through Separation

Dive into Decision Trees and Forests: A Theoretical Demonstration


A paper list of pre-trained language models (PLMs).

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

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

Pre-trained models for natural language processing: A survey

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Natural Language Understanding with Privacy-Preserving BERT

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

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining

GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval

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

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources

Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval


ROHSA: Regularized Optimization for Hyper-Spectral Analysis - Application to phase separation of 21 cm data

Thermal and Turbulent Properties of the Warm Neutral Medium in the Solar Neighborhood

Resolving the Formation of Cold H i Filaments in the High-velocity Cloud Complex C

Compressed magnetized shells of atomic gas and the formation of the Corona Australis molecular cloud

The multiphase and magnetized neutral hydrogen seen by LOFAR

A Comparison of Multiphase Magnetic Field Tracers in a High Galactic Latitude Region of the Filamentary Interstellar Medium

Mapping the Thermal Condensation of Diffuse H i in the North Celestial Pole Loop


This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)

Stacking models for nearly optimal link prediction in complex networks

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

“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Short Note on Comparing Stacking Modelling Versus Cannistraci-Hebb Adaptive Network Automata for Link Prediction in Complex Networks

Network Estimation by Mixing: Adaptivity and More


Python scripts for physics-informed neural networks for corrosion-fatigue prognosis

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Journal of Computing and Information Science in Engineering

Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis

Physics-Informed Neural Networks for Bias Compensation in Corrosion-Fatigue


Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

Learning to Find Good Correspondences

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

Improving the HardNet Descriptor

Learning and Crafting for the Wide Multiple Baseline Stereo


:boom: Quickly calculate and visualize sequence coverage in alignment files

Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns

Wide Distribution of Phage That Infect Freshwater SAR11 Bacteria

Genome sequencing and transcriptome analyses provide insights into the origin and domestication of water caltrop (Trapa spp., Lythraceae)

Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics

DeepMicrobeFinder Sorts Metagenomes into Prokaryotes, Eukaryotes and Viruses, with Marine Applications


Assembly statistic visualisation

Jellyfish genomes reveal distinct homeobox gene clusters and conservation of small RNA processing

Genome sequences identify three families of Coleoptera as morphologically derived click beetles (Elateridae)

Delineating the Tnt1 Insertion Landscape of the Model Legume Medicago truncatula cv. R108 at the Hi-C Resolution Using a Chromosome-Length Genome Assembly

International journal of molecular sciences

Comparative analysis reveals within-population genome size variation in a rotifer is driven by large genomic elements with highly abundant satellite DNA repeat elements

First Genome Sequence of the Gunnison’s Prairie Dog (Cynomys gunnisoni), a Keystone Species and Player in the Transmission of Sylvatic Plague

The Chromosome-Scale Reference Genome of Macadamia tetraphylla Provides Insights Into Fatty Acid Biosynthesis

De Novo Genome Assembly of the Electric Fish Brachyhypopomus occidentalis (Hypopomidae, Gymnotiformes)

The genome sequence of the Montseny horsehair worm, Gordionus montsenyensis sp. nov., a key resource to investigate Ecdysozoa evolution

The Rhodoexplorer Platform for Red Algal Genomics and Whole-Genome Assemblies for Several Gracilaria Species

Comparative Analysis of Annotation Pipelines Using the First Japanese White-Eye (Zosterops japonicus) Genome


A paper list of research about social knowledge graph

Motifs in Temporal Networks

An Experimental Study of State-of-the-Art Entity Alignment Approaches

IEEE Transactions on Knowledge and Data Engineering

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

Personal Knowledge Graphs: A Research Agenda

PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes

International Conference on Information and Knowledge Management

Fast Attributed Multiplex Heterogeneous Network Embedding

Context-Aware Temporal Knowledge Graph Embedding

Real-Time Streaming Graph Embedding Through Local Actions

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020


A Chainer extension for K-FAC

Bag of Tricks for Image Classification with Convolutional Neural Networks

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Scalable and Practical Natural Gradient for Large-Scale Deep Learning


Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts


[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Graph Self-Supervised Learning: A Survey

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

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


Tools for querying and analysis of genomic data

Chromatin and Single-Cell RNA-Seq Profiling Reveal Dynamic Signaling and Metabolic Transitions during Human Spermatogonial Stem Cell Development

The chromatin remodelers RSC and ISW1 display functional and chromatin-based promoter antagonism

Establishment of developmental gene silencing by ordered polycomb complex recruitment in early zebrafish embryos

Specialization of the chromatin remodeler RSC to mobilize partially-unwrapped nucleosomes

Integration host factor regulates colonization factors in the bee gut symbiont Frischella perrara

Maternally-inherited anti-sense piRNAs antagonize transposon expression in teleost embryos

Ash1 and Tup1 dependent repression of the Saccharomyces cerevisiae HO promoter requires activator-dependent nucleosome eviction


Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Safe Reinforcement Learning by Imagining the Near Future

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks


A list of academic papers related to Docker containers & Docker Hub

Too many images on DockerHub! How different are images for the same system?

A study of how Docker Compose is used to compose multi-component systems

An empirical study on self-admitted technical debt in Dockerfiles

Helping Your Docker Images to Spread Based on Explainable Models

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT III

SemiTagRec: A Semi-supervised Learning Based Tag Recommendation Approach for Docker Repositories

Explaining Successful Docker Images Using Pattern Mining Analysis

Software Technologies: Applications and Foundations

Latest Image Recommendation Method for Automatic Base Image Update in Dockerfile


Event Extraction by Answering (Almost) Natural Questions

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Few-shot Event Detection: An Empirical Study and a Unified View

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction

Role Knowledge Prompting for Document-Level Event Argument Extraction


(CVPR 2021 Oral) LETR: Line Segment Detection Using Transformers without Edges

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


Federated Optimization in Heterogeneous Networks (MLSys '20)

Fast-Convergent Federated Learning

FedLab: A Flexible Federated Learning Framework

EasyFL: A Low-Code Federated Learning Platform for Dummies

ActPerFL: Active Personalized Federated Learning

Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022)

FedGen: Generalizable Federated Learning for Sequential Data

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment

Federated Prompt Learning for Weather Foundation Models on Devices

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches


Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"

Graph Self-Supervised Learning: A Survey

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

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

Reinforcement learning on graphs: A survey

State of the Art and Potentialities of Graph-level Learning


fastText + Bloom embeddings for compact, full-coverage vectors with spaCy

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

Multi hash embeddings in spaCy

Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)


Learning from Synthetic Animals

From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation

What AI can do for horse-racing ?


Adversarial Learning for Neural Dialogue Generation

TextBugger: Generating Adversarial Text Against Real-world Applications

Proceedings 2019 Network and Distributed System Security Symposium

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation


Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019)

International Conference on Intelligent Transportation Systems

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

CMRNext: Camera to LiDAR Matching in the Wild for Localization and
  Extrinsic Calibration

Poses as Queries: Image-to-LiDAR Map Localization with Transformers


Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Deep Policy Dynamic Programming for Vehicle Routing Problems

Learning the travelling salesperson problem requires rethinking generalization

Learning to Solve Routing Problems via Distributionally Robust Optimization

On Learning Paradigms for the Travelling Salesman Problem

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

Adaptive solution prediction for combinatorial optimization


Intelligent Health Care: Applications of Deep Learning in Computational Medicine

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

Computational and structural biotechnology journal

EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model

Machine and deep learning methods for predicting 3D genome organization.


Implementation of DeepJDOT in Keras

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

On Scalable and Efficient Computation of Large Scale Optimal Transport

Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.


Code and data used in The Great Repertoire Project

Commonality despite exceptional diversity in the baseline human antibody repertoire

Landscape of Non-canonical Cysteines in Human VH Repertoire Revealed by Immunogenetic Analysis

Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individuals

Regulatory Approved Monoclonal Antibodies Contain Framework Mutations Predicted From Human Antibody Repertoires


DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network

Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover

Congestion Analysis of Transport Layer in a Multicell 5G DL Communication System


TACO: Learning Task Decomposition via Temporal Alignment for Control

Learning Task Decomposition with Ordered Memory Policy Network

Learning generalizable behaviors from demonstration


Transcripts annotation and GO enrichment Fisher tests

Epimutations in Developmental Genes Underlie the Onset of Domestication in Farmed European Sea Bass

Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity

Metatranscriptomics reveals a shift in microbial community composition and function during summer months in a coastal marine environment

Environmentally Driven Color Variation in the Pearl Oyster Pinctada margaritifera var. cumingii (Linnaeus, 1758) Is Associated With Differential Methylation of CpGs in Pigment- and Biomineralization-Related Genes

Epigenetic and genetic differentiation betweenCoregonusspecies pairs


Brook90 coded in R

Rainfall Threshold for Flash Flood Warning Based on Model Output of Soil Moisture: Case Study Wernersbach, Germany

Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony

Zenodo (CERN European Organization for Nuclear Research)


Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)

Understanding the Role of Training Regimes in Continual Learning

Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent

Dropout as an Implicit Gating Mechanism For Continual Learning


ECCV2020 paper: Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. Code and Data.

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

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

Convolutional Image Captioning

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates


This repository holds the dataset used to conduct experiments for the "Cyberthreat Detection from Twitter using Deep Neural Networks" accepted to the IJCNN 2019.

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives

IEEE Communications Surveys and Tutorials

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey


Tree-based survival analysis from scratch

Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods


Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".

Prompt-based Distribution Alignment for Domain Generalization in Text Classification

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

Memory-Based Invariance Learning for Out-of-Domain Text Classification

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


Nearest Neighbor Kernel Conditional Density Estimation

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics


hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic

hULMonA: The Universal Language Model in Arabic

Meeting of the Association for Computational Linguistics

Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model

Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model


Machine Translation Evaluation Metric

Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Fitting Sentence Level Translation Evaluation with Many Dense Features

Empirical Methods in Natural Language Processing

BEER 1.1: ILLC UvA submission to metrics and tuning task

Workshop on Statistical Machine Translation

Evaluating Word Order Recursively over Permutation-Forests

Alignment-based sense selection in METEOR and the RATATOUILLE recipe

Evaluating MT systems with BEER

The Prague Bulletin of Mathematical Linguistics


context labels and pronunciation data for JSUT corpus

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE Journal on Selected Topics in Signal Processing

Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End

Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder

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

Audio-conditioned phonemic and prosodic annotation for building
  text-to-speech models from unlabeled speech data


Pytorch implementation of  Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing


kNN-based next-basket recommendation

A Survey on Session-based Recommender Systems

Modeling Personalized Item Frequency Information for Next-basket Recommendation

A Systematical Evaluation for Next-Basket Recommendation Algorithms

A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation


VGG16 models for CIFAR-10 and CIFAR-100 using Keras

Do ImageNet Classifiers Generalize to ImageNet?

To Trust Or Not To Trust A Classifier

Verified Uncertainty Calibration

On The Power of Curriculum Learning in Training Deep Networks

Are Generative Classifiers More Robust to Adversarial Attacks?

When Do Curricula Work?

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Overinterpretation reveals image classification model pathologies

Deep Neural Network Ensembles

On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation


Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)

EMNLP (Findings) - Multiˆ2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework

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

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models


The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).

Computational Methods for Large-Scale Inverse Problems: A Survey on Hybrid Projection Methods

Condition numbers for the truncated total least squares problem and their estimations

On the extended randomized multiple row method for solving linear least-squares problems


CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances


The source code of  our ACL2019 paper "Incremental Transformer with Deliberation Decoder for Document Grounded Conversations "

OpenNMT: Open-Source Toolkit for Neural Machine Translation

A Dataset for Document Grounded Conversations

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

Low-Resource Knowledge-Grounded Dialogue Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

Knowledge-Grounded Chatbot Based on Dual Wasserstein Generative Adversarial Networks with Effective Attention Mechanisms

Contextual Knowledge Learning For Dialogue Generation


An unofficial implementation of the paper "TopNet: Transformer-based Object Placement Network for Image Compositing", CVPR 2023.

Learning to Generate Synthetic Data via Compositing

OPA: Object Placement Assessment Dataset

Learning Object Placement via Dual-path Graph Completion

Fast Object Placement Assessment


The official RBG release repository.

Regular Boardgames

Efficient Reasoning in Regular Boardgames

Experimental Studies in General Game Playing: An Experience Report

Split Moves for Monte-Carlo Tree Search

A note on the empirical comparison of RBG and Ludii


(beta-)VAE Tensorflow

Stochastic Gradient VB and the Variational Auto-Encoder

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Explanation by Progressive Exaggeration

Autoregressive Quantile Networks for Generative Modeling


python module for performing blocking analysis on data containing serial correlations

Developments in stochastic coupled cluster theory: The initiator approximation and application to the uniform electron gas

Zenodo (CERN European Organization for Nuclear Research)

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Journal of chemical theory and computation

Linked coupled cluster Monte Carlo

A study of the dense uniform electron gas with high orders of coupled cluster

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry

Exciting Determinants in Quantum Monte Carlo: Loading the Dice with Fast, Low-Memory Weights

Minimising biases in full configuration interaction quantum Monte Carlo

An auxiliary-Field quantum Monte Carlo perspective on the ground state of the dense uniform electron gas: An investigation with Hartree-Fock trial wavefunctions

Understanding and improving the efficiency of full configuration interaction quantum Monte Carlo.

Large scale parallelization in stochastic coupled cluster


Zero-Resource Speech Discovery, Search, and Evaluation Tools

The Zero Resource Speech Challenge 2015: Proposed Approaches and Results

Workshop on Spoken Language Technologies for Under-resourced Languages

Towards speech-to-text translation without speech recognition

Multilingual and unsupervised subword modeling for zero-resource languages

Multilingual bottleneck features for subword modeling in zero-resource languages

Topic Identification for Speech without ASR

Weakly supervised spoken term discovery using cross-lingual side information

Spoken Term Discovery for Language Documentation using Translations

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Unsupervised Term Discovery for Continuous Sign Language


A toolbox for improving metagenome-assembled genomes.

Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.)

Comparative genomics reveals electron transfer and syntrophic mechanisms differentiating methanotrophic and methanogenic archaea

Comparative Genomics of Candidate Phylum TM6 Suggests That Parasitism Is Widespread and Ancestral in This Lineage

Western and non-western gut microbiomes reveal new roles of Prevotella in carbohydrate metabolism and mouth–gut axis

Comparative Genomics and Proteomic Analysis of Assimilatory Sulfate Reduction Pathways in Anaerobic Methanotrophic Archaea

Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater

Phylogenetic and metabolic diversity of microbial communities performing anaerobic ammonium and methane oxidations under different nitrogen loadings


EgoTV Egocentric Task Verification from Natural Language Task Descriptions

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

AI2-THOR: An Interactive 3D Environment for Visual AI

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks


mixup: Beyond Empirical Risk Minimization

Manifold Mixup: Better Representations by Interpolating Hidden States

Noisy Feature Mixup


Python Implementation of Weighted Generalized Canonical Correlation Analysis

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Learning Representations of Social Media Users


Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Optimizing Millions of Hyperparameters by Implicit Differentiation

Adapting Auxiliary Losses Using Gradient Similarity

Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation


LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Graph Learning based Recommender Systems: A Review

Sequential Recommendation via Stochastic Self-Attention

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

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

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering

IEEE transactions on knowledge and data engineering

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

Proceedings of the 17th ACM Conference on Recommender Systems

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining


Python Based Auxiliary-Field Quantum Monte Carlo

Unbiasing fermionic quantum Monte Carlo with a quantum computer

A phaseless auxiliary-field quantum Monte Carlo perspective on the uniform electron gas at finite temperatures: Issues, observations, and benchmark study

Stochastic resolution-of-the-identity auxiliary-field quantum Monte Carlo: Scaling reduction without overhead

ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs

Spectral Functions from Auxiliary-Field Quantum Monte Carlo without Analytic Continuation: The Extended Koopmans' Theorem Approach.

Constrained-path auxiliary-field quantum Monte Carlo for coupled electrons and phonons

Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems


Personalized federated learning codebase for research

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing


Official PyTorch implementation of  MFCVAE : "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

Identifiability of deep generative models without auxiliary information

Multi-Facet Clustering Variational Autoencoders


The CIS OCR PostCorrectionTool

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus

Profiling of OCR'ed Historical Texts Revisited

@PhilosTEI: Building Corpora for Philosophers

Verbesserung der OCR in digitalen Sammlungen von Bibliotheken


PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Self-Attentive Sequential Recommendation

Do Loyal Users Enjoy Better Recommendations?

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System

SLMRec: Empowering Small Language Models for Sequential Recommendation


Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement

bioRxiv : the preprint server for biology

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

International journal of molecular sciences

SARS-CoV-2 membrane protein: from genomic data to structural new insights

Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

Proteins: Structure, Function, and Bioinformatics

Characterization of SARS-CoV-2 viral diversity within and across hosts

Predicted 3D model of the M protein of Porcine Epidemic Diarrhea Virus and analysis of its immunogenic potential


Zero -- A neural machine translation system

Attention Is All You Need

Self-Attention with Relative Position Representations

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Fixup Initialization: Residual Learning Without Normalization

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Adaptive Feature Selection for End-to-End Speech Translation

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Sparse Attention with Linear Units

Revisiting End-to-End Speech-to-Text Translation From Scratch

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks