Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information


Official implementation of "Path Planning using Neural A* Search" (ICML-21)

Differentiation of Blackbox Combinatorial Solvers

Gated Path Planning Networks

Path Planning using Neural A* Search

[Reproducibility Report] Path Planning using Neural A* Search


Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Random Erasing Data Augmentation

Training Neural Networks with Local Error Signals

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

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification


Downloadable snapshots of the Chrome Top Million Websites pulled from public CrUX data in Google BigQuery.

Comparing Large-Scale Privacy and Security Notifications

Proceedings on Privacy Enhancing Technologies

Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


An efficient way to filter duplicate lines from input, à la uniq.

BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets

GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

Evaluation Of Word Embeddings From Large-Scale French Web Content


Official PyTorch implementation of Fully Attentional Networks

Understanding The Robustness in Vision Transformers

1st Place Solution of The Robust Vision Challenge 2022 Semantic
  Segmentation Track

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"

NetScore: Towards Universal Metrics for Large-scale Performance Analysis
  of Deep Neural Networks for Practical On-Device Edge Usage

A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design

A generic and efficient convolutional neural network accelerator using HLS for a system on chip design

Robust Convolutional Neural Networks in SRAM-based FPGAs: a Case Study in Image Classification

Journal of Integrated Circuits and Systems


This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Simple and Deep Graph Convolutional Networks

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

Graph-based Semi-supervised Learning: A Comprehensive Review

G-Mixup: Graph Data Augmentation for Graph Classification

Multi-hop Attention Graph Neural Network

Sparse Graph Attention Networks

Graph-Coupled Oscillator Networks

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization


synthesiseable ieee 754 floating point library in verilog

Iodine: Verifying Constant-Time Execution of Hardware

Solver-Aided Constant-Time Circuit Verification


Entropy coding / arithmetic coding for PyTorch

Practical Full Resolution Learned Lossless Image Compression

Image Compression with Product Quantized Masked Image Modeling

GRACE: Loss-Resilient Real-Time Video through Neural Codecs

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable
  Autoencoder


Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

Make One-Shot Video Object Segmentation Efficient Again

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues


[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

A Survey on Semi-Supervised Semantic Segmentation


code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

Adaptive Threshold Selective Self-Attention for Chinese NER

International Conference on Computational Linguistics


Large datasets for conversational AI

ConveRT: Efficient and Accurate Conversational Representations from Transformers

A Repository of Conversational Datasets

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions.

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

A Survey of Intent Classification and Slot-Filling Datasets for
  Task-Oriented Dialog

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?


Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion

DiffEdit: Diffusion-based semantic image editing with mask guidance


大规模中文自然语言处理语料  Large Scale Chinese Corpus for NLP

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box
  Machine-Generated Text Detection

General and Domain-adaptive Chinese Spelling Check with Error-consistent Pretraining

On the Generation of Medical Dialogues for COVID-19


(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

MPViT: Multi-Path Vision Transformer for Dense Prediction

Transformers in computational visual media: A survey

Blending Anti-Aliasing into Vision Transformer


Official implementation of the paper GLU-Net (CVPR2020-Oral)

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences

Learning Accurate Dense Correspondences and When to Trust Them

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

Warp Consistency for Unsupervised Learning of Dense Correspondences


ECG Arrhythmia classification using CNN

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

ECG arrhythmia classification using a 2-D convolutional neural network

Synthetic ECG Signal Generation Using Generative Neural Networks


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

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

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising
  Diffusion GANs

DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion


Graph-based Attention Model

Neural Machine Translation by Jointly Learning to Align and Translate

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

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Supervised multi-specialist topic model with applications on large-scale electronic health record data


Keras Attention Layer (Luong and Bahdanau scores).

Effective Approaches to Attention-based Neural Machine Translation

DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization

Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall

ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data

International Convention on Information and Communication Technology, Electronics and Microelectronics


[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

Deep learning models fail to capture the configural nature of human shape perception

Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?

Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study

A Spectral Theory of Neural Prediction and Alignment


Guided Flows for Generative Modeling and Decision Making

Diffusion World Model

Efficient Planning with Latent Diffusion

Learning to Reach Goals via Diffusion

Diffused Task-Agnostic Milestone Planner


Automatically exported from code.google.com/p/cuda-convnet2

Do ImageNet Classifiers Generalize to ImageNet?

Dataset Distillation

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Training Spiking Deep Networks for Neuromorphic Hardware

Extracellular space preservation aids the connectomic analysis of neural circuits

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

Creation of a Deep Convolutional Auto-Encoder in Caffe

A Survey on Deep Learning Methods for Robot Vision

Breaking Locality Accelerates Block Gauss-Seidel

Reducing the Training Time of Neural Networks by Partitioning


EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.

EdNet: A Large-Scale Hierarchical Dataset in Education

GIKT: A Graph-based Interaction Model for Knowledge Tracing

Improving Knowledge Tracing via Pre-training Question Embeddings

Knowledge Tracing: A Survey

A Survey of Knowledge Tracing

Multi-Factors Aware Dual-Attentional Knowledge Tracing

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing

Personalization in Human-AI Teams: Improving the Compatibility-Accuracy
  Tradeoff


:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Random Erasing Data Augmentation

Pose-Normalized Image Generation for Person Re-identification

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification


Tensorflow implementation of Adversarial Autoencoders

Auto-Encoding Variational Bayes

Adversarial Autoencoders

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

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

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Adaptive Adversarial Attack on Scene Text Recognition

A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition


Scalable training for dense retrieval models.

Domain-matched Pre-training Tasks for Dense Retrieval

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable
  Dense Retrieval

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval


Cleaned code for paper "Natural Language Inference over Interaction Space"

Robustness to Modification with Shared Words in Paraphrase Identification

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability

Generating Contradictory, Neutral, and Entailing Sentences


Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

StartNet: Online Detection of Action Start in Untrimmed Videos

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object
  Interactions in Industrial Scenarios


The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Score-Based Generative Modeling through Stochastic Differential Equations

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Fairness for Image Generation with Uncertain Sensitive Attributes

Entropic Neural Optimal Transport via Diffusion Processes

Benchmarking the Fairness of Image Upsampling Methods


Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation


Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition


A Pythonic wrapper for the Wikipedia API

Elaborative Rehearsal for Zero-shot Action Recognition

Quantifying the Alignment of Graph and Features in Deep Learning

IEEE transactions on neural networks and learning systems

Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

A Bimodal Network Approach to Model Topic Dynamics

GeoGalactica: A Scientific Large Language Model in Geoscience

From Compact Discs to Streaming: A Comparison of Eras within the Brazilian Market

Higher-order rich-club phenomenon in collaborative research grant networks

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED)

North American Chapter of the Association for Computational Linguistics


GIZA++ is a statistical machine translation toolkit that is used to train IBM Models 1-5 and an HMM word alignment model. This package also contains the source for the mkcls tool which generates the word classes necessary for training some of the alignment models.

Curriculum Pre-training for End-to-End Speech Translation

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Accurate Word Alignment Induction from Neural Machine Translation

Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation

Controllable data synthesis method for grammatical error correction

Constraint Translation Candidates: A Bridge between Neural Query
  Translation and Cross-lingual Information Retrieval

Alignment-free Cross-lingual Semantic Role Labeling

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

Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns

Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language

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


Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation

Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition

CC-Net: Image Complexity Guided Network Compression for Biomedical Image
  Segmentation

Open Source Iris Recognition Hardware and Software with Presentation Attack Detection


NVIDIA PhysX SDK

RFUniverse: A Multiphysics Simulation Platform for Embodied AI

RCareWorld: A Human-centric Simulation World for Caregiving Robots

The Colliding Reciprocal Dance Problem: A Mitigation Strategy with Application to Automotive Active Safety Systems


3D-HST grism analysis software

THE 3D-HST SURVEY: HUBBLE SPACE TELESCOPE WFC3/G141 GRISM SPECTRA, REDSHIFTS, AND EMISSION LINE MEASUREMENTS FOR ∼100,000 GALAXIES

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

CLEAR. I. Ages and Metallicities of Quiescent Galaxies at 1.0 < z < 1.8 Derived from Deep Hubble Space Telescope Grism Data

SN REFSDAL: CLASSIFICATION AS A LUMINOUS AND BLUE SN 1987A-LIKE TYPE II SUPERNOVA


R  to download  open water quality data


Chapel-based Optimization

A comparative study of high-productivity high-performance programming languages for parallel metaheuristics

Towards ultra-scale Branch-and-Bound using a high-productivity language

An Incremental Parallel PGAS-based Tree Search Algorithm

International Symposium on High Performance Computing Systems and Applications

Productivity-Aware Design and Implementation of Distributed Tree-Based Search Algorithms

Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms


Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.

LoRAS: An oversampling approach for imbalanced datasets

A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets

A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios


Reduction and analysis code for the VLT/SPHERE instrument

SPHERE: the exoplanet imager for the Very Large Telescope

Constraining the Nature of the PDS 70 Protoplanets with VLTI/GRAVITY

Perturbers: SPHERE detection limits to planetary-mass companions in protoplanetary disks

Reference-star differential imaging on SPHERE/IRDIS

Direct imaging discovery of a super-Jovian around the young Sun-like star AF Leporis

Most EL CVn systems are inner binaries of hierarchical triples

Monthly Notices of the Royal Astronomical Society: Letters

The white dwarf binary pathways survey – VII. Evidence for a bi-modal distribution of post-mass transfer systems?

Revisiting the atmosphere of the exoplanet 51 Eridani b with VLT/SPHERE

High-contrast, high-angular resolution view of the GJ 367 exoplanet system

Monthly notices of the Royal Astronomical Society

Dynamical detection of a companion driving a spiral arm in a protoplanetary disk


Pneumococcal Capsular Typing tool for NGS data

Whole genome sequencing of Streptococcus pneumoniae: development, evaluation and verification of targets for serogroup and serotype prediction using an automated pipeline

Diversity-Generating Machines: Genetics of Bacterial Sugar-Coating

Pneumococcal 23B Molecular Subtype Identified Using Whole Genome Sequencing

Clinical streptococcal isolates, distinct from Streptococcus pneumoniae, but containing the β-glucosyltransferase tts gene and expressing serotype 37 capsular polysaccharide

PneumoKITy: A fast, flexible, specific, and sensitive tool for Streptococcus pneumoniae serotype screening and mixed serotype detection from genome sequence data

Molecular characterization of invasive Streptococcus pneumoniae clinical isolates from a tertiary children's hospital in eastern China

Widespread sharing of pneumococcal strains in a rural African setting: proximate villages are more likely to share similar strains that are carried at multiple timepoints


Sea Ice Forecasting using Attention-based Ensemble LSTM

MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting

2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)


Critical Assessment of Intrinsic Disorder

Intrinsic protein disorder and conditional folding in AlphaFoldDB

Protein science : a publication of the Protein Society

Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 2

Proteins: Structure, Function, and Bioinformatics


Genetic risk prediction integrating LD and functional annotations

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improved genetic prediction of complex traits from individual-level data or summary statistics

Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction

Polygenic risk scores: effect estimation and model optimization


Weak lensing measurement pipeline for wide area surveys

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

Consistent lensing and clustering in a low-S_8 Universe with BOSS, DES
  Year 3, HSC Year 1 and KiDS-1000

Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition

Lensing Without Borders. I. A Blind Comparison of the Amplitude of
  Galaxy-Galaxy Lensing Between Independent Imaging Surveys


Classify output of AmpliconArchitect to detect types of focal amplifications present

The landscape of extrachromosomal circular DNA in medulloblastoma

Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors

bioRxiv : the preprint server for biology


Deep Treatment Learning (R)

Permutation-based identification of important biomarkers for complex diseases via machine learning models

Inverse Probability Weighting-based Mediation Analysis for Microbiome
  Data


A fast python-based RM synthesis and RM CLEAN application and library

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

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

The intergalactic magnetic field probed by a giant radio galaxy

Magnetism Science with the Square Kilometre Array

Particle re-acceleration and Faraday-complex structures in the RXC J1314.4-2515 galaxy cluster

Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog

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

MeerKAT view of the diffuse radio sources in Abell 3667 and their interactions with the thermal plasma

Diffuse polarized emission in the LOFAR Two-meter Sky Survey

The LOFAR view of intergalactic magnetic fields with giant radio galaxies


Detectron with VoVNet : select the vovnet branch

FCOS: Fully Convolutional One-Stage Object Detection

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free


All-resolutions Inference for M/EEG in Python

Cluster-based permutation tests of MEG/EEG data do not establish significance of effect latency or location.

All-Resolutions Inference for brain imaging

Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing


HyperShot: Few-Shot Learning by Kernel HyperNetworks

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks

Hypernetwork approach to Bayesian MAML


Creative Commons Attribution 4.0 International

Automatically harvested multilingual contrastive word sense disambiguation test sets for machine translation

The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation

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

An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems

The MUCOW word sense disambiguation test suite at WMT 2020

Empirical Methods in Natural Language Processing

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation

Meeting of the Association for Computational Linguistics

Democratizing Neural Machine Translation with OPUS-MT


Repository no longer in use


Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

DANE: Domain Adaptive Network Embedding


Programs for analysis and visualization of oceanographic HF radar data

The Global High Frequency Radar Network

Best Practices on High Frequency Radar Deployment and Operation for Ocean Current Measurement

Sensitivity of Skill Score Metric to Validate Lagrangian Simulations in Coastal Areas: Recommendations for Search and Rescue Applications

Integration of HF Radar Observations for an Enhanced Coastal Mean Dynamic Topography

Variational interpolation of high-frequency radar surface currents using DIVAnd


A Bayesian classifier to identify members of the 27 nearest young associations within 150 pc of the Sun

BANYAN. XI. The BANYAN Σ Multivariate Bayesian Algorithm to Identify Members of Young Associations with 150 pc

Search for associations containing young stars (SACY). VIII. An updated census of spectroscopic binary systems exhibiting hints of non-universal multiplicity among their associations

A Young Ultramassive White Dwarf in the AB Doradus Moving Group


Combining Answer Set Programming and domain heuristics for solving hard industrial problems (Application Paper)

Modeling Variations of First-Order Horn Abduction in Answer Set Programming

On the Computation of Paracoherent Answer Sets

Inconsistency Proofs for ASP: The ASP-DRUPE Format

Hybrid ASP-based Approach to Pattern Mining

Theory and practice of logic programming


Free-form flows are a generative model training a pair of neural networks via maximum likelihood

Lifting Architectural Constraints of Injective Flows

Free-form Flows: Make Any Architecture a Normalizing Flow


Graph Attention Networks

Inductive Representation Learning on Large Graphs

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

LINE: Large-scale Information Network Embedding

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Spectral Network Embedding: A Fast and Scalable Method via Sparsity


Source code to simulate WTF-PAD on a set of web traffic traces.

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

Evading classifiers in discrete domains with provable optimality guarantees

A Method for Identifying Tor Users Visiting Websites Based on Frequency Domain Fingerprinting of Network Traffic

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense


TreeBeST: Tree Building guided by Species Tree (Ensembl Compara modifications)

Ensembl comparative genomics resources

Database : the journal of biological databases and curation

The tuatara genome reveals ancient features of amniote evolution

Haplotype-resolved genome of diploid ginger (Zingiber officinale) and its unique gingerol biosynthetic pathway

Lipid droplet biology and evolution illuminated by the characterization of a novel perilipin in teleost fish

The giant diploid faba genome unlocks variation in a global protein crop

Genome-Wide Reconstruction of Rediploidization Following Autopolyploidization across One Hundred Million Years of Salmonid Evolution

ncRNA orthologies in the vertebrate lineage

Mpox, Caused by the MPXV of the Clade IIb Lineage, Goes Global

Tropical medicine and infectious disease

Scripting Analyses of Genomes in Ensembl Plants

GeneSeqToFamily: a Galaxy workflow to find gene families based on the Ensembl Compara GeneTrees pipeline


Project OCELoT: an Open, Collaborative Evaluation Leaderboard of Translations

Findings of the 2020 Conference on Machine Translation (WMT20)

Findings of the 2021 Conference on Machine Translation (WMT21)

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

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet

Proceedings of the Eighth Conference on Machine Translation


Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model

The Modular Arbitrary-Order Ocean-Atmosphere Model: MAOOAM v1.0

Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models

qgs: A flexible Python framework of reduced-order multiscale climate models

Comparison of stochastic parameterizations in the framework of a coupled ocean-atmosphere model

On the use of near-neutral backward Lyapunov vectors to get reliable ensemble forecasts in coupled ocean-atmosphere systems


Deduplication based on custom inline DNA barcodes.

Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

Early assessment of circulating tumor DNA after curative‐intent resection predicts tumor recurrence in early‐stage and locally advanced non‐small‐cell lung cancer

Analysis of solid tumor mutation profiles in liquid biopsy

Low-Coverage Whole Genome Sequencing Using Laser Capture Microscopy with Combined Digital Droplet PCR: An Effective Tool to Study Copy Number and Kras Mutations in Early Lung Adenocarcinoma Development

International journal of molecular sciences


A standalone end-to-end data analysis pipeline for Duplex Sequencing

The multi-tissue landscape of somatic mtDNA mutations indicates tissue-specific accumulation and removal in aging

A replication-linked mutational gradient drives somatic mutation accumulation and influences germline polymorphisms and genome composition in mitochondrial DNA

Resistance of mitochondrial DNA to cadmium and Aflatoxin B1 damage-induced germline mutation accumulation in C. elegans

Uterine lavage identifies cancer mutations and increased TP53 somatic mutation burden in individuals with ovarian cancer.


Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study

medRxiv : the preprint server for health sciences


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

Representation Learning with Contrastive Predictive Coding

Deep Variational Information Bottleneck

On Variational Bounds of Mutual Information

A Differential Entropy Estimator for Training Neural Networks

Learning Disentangled Representations of Negation and Uncertainty


Surfrider Europe's project Plastic Origins aims at mapping river plastic pollution. This citizen science project uses AI to detect litter on river banks. Results are put on a map and shared publicly. We welcome contributions from volunteers. Please, get in touch.


Python code implementing a stable ensemble-based graph partition algorithm (ecg) and 11 graph-aware measures (gam) for comparing graph partitions.

Ensemble Clustering for Graphs

Ensemble clustering for graphs: comparisons and applications

Evaluating Node Embeddings of Complex Networks

Comparing Graph Clusterings: Set Partition Measures vs. Graph-Aware Measures

IEEE transactions on pattern analysis and machine intelligence

Artificial Benchmark for Community Detection with Outliers (ABCD+o)

Survey of Generative Methods for Social Media Analysis


A Large Semantic Knowledge Graph from Wikipedia Categories and Listings

Information Extraction From Co-Occurring Similar Entities

NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker

Transformer-based Subject Entity Detection in Wikipedia Listings


AMBER: Assessment of Metagenome BinnERs

AMBER: Assessment of Metagenome BinnERs

Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit

CAMITAX: Taxon labels for microbial genomes


Face detection and alignment using deep learning

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

Deep learning techniques for detecting and recognizing face masks: A survey

Pedestrian Detection Using Integrated Aggregate Channel Features and Multitask Cascaded Convolutional Neural-Network-Based Face Detectors


Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

Towards the Detection of Diffusion Model Deepfakes

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

Enhancing Unsupervised Speech Recognition with Diffusion GANs


Boris Computational Spintronics

Boris computational spintronics—High performance multi-mesh magnetic and spin transport modeling software

Emergence of transient domain wall skyrmions after ultrafast demagnetization

Efficient computation of demagnetizing fields for magnetic multilayers using multilayered convolution

Micromagnetic Monte Carlo method with variable magnetization length based on the Landau–Lifshitz–Bloch equation for computation of large-scale thermodynamic equilibrium states

Speeding Up Explicit Numerical Evaluation Methods for Micromagnetic Simulations Using Demagnetizing Field Polynomial Extrapolation


DATE: Detecting Anomalies in Text via Self-Supervision of Transformers


IST'21 & SANER'22: Semantic-Preserving Program Transformations

A Convolutional Attention Network for Extreme Summarization of Source Code

Testing Neural Program Analyzers

Evaluation of Generalizability of Neural Program Analyzers under
  Semantic-Preserving Transformations

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code


An instruction set simulator based on DBT-RISE implementing the RISC-V ISA

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges


T2F: text to face generation using Deep Learning

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

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

Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions

FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face
  Generation

Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions

Text-to-Face Generation with StyleGAN2

Multi-Attributed and Structured Text-to-Face Synthesis


A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer

Instruction Tuning for Large Language Models: A Survey

OLMo: Accelerating the Science of Language Models

Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

XGen-7B Technical Report

Language Model Inversion

The Art of Defending: A Systematic Evaluation and Analysis of LLM
  Defense Strategies on Safety and Over-Defensiveness

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models


A python package for modeling and analysing transit light-curves.

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b

A NEW APPROACH TO ANALYZING HST SPATIAL SCANS: THE TRANSMISSION SPECTRUM OF HD 209458 b

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

High-precision Stellar Limb-darkening in Exoplanetary Transits

The ExoTETHyS Package: Tools for Exoplanetary Transits around Host Stars

The Hubble WFC3 Emission Spectrum of the Extremely Hot Jupiter KELT-9b

Near-IR transmission spectrum of HAT-P-32 b using HST/WFC3

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

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

Original Research by Young Twinkle Students (ORBYTS): ephemeris refinement of transiting exoplanets


Gaussian random variables.

B_c → J/ψ Form Factors for the full q^2 range from
  Lattice QCD

Two-nucleon S -wave interactions at the SU(3) flavor-symmetric point with mud≈ msphys: A first lattice QCD calculation with the stochastic Laplacian Heaviside method

Gluon gravitational structure of hadrons of different spin

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Improved information criteria for Bayesian model averaging in lattice
  field theory

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

Bottomonium precision tests from full lattice QCD: hyperfine splitting, Υ leptonic width and b quark contribution to e^+e^- → hadrons

Bs→Ds* form factors for the full q2 range from lattice QCD

Economic and environmental impacts on U.S. agriculture from insecticide, fertilizer, soil loss, and animal waste regulatory policies

Gravitational form factors of the proton from lattice QCD


Learning to Translate in Real-time with Neural Machine Translation

Simultaneous Machine Translation with Visual Context

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation


Correlation Utilities and Two-point Estimation

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the halo occupation distribution model for emission line galaxies

Monthly Notices of the Royal Astronomical Society

Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO

Do model emission line galaxies live in filaments at z similar to 1?

Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement

Dark Energy Survey Year 3 results: galaxy sample for BAO measurement

Observing relativistic features in large-scale structure surveys - I. Multipoles of the power spectrum

Marked correlation functions in perturbation theory

Journal of cosmology and astroparticle physics

Studying large-scale structure probes of modified gravity with COLA

Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys

Non-linear structure formation for dark energy models with a Steep Equation of State

Journal of Cosmology and Astroparticle Physics


The original code from the DeepMind article + my tweaks

Learning to Act by Predicting the Future

Implementing the Deep Q-Network

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Deep Q-Networks for Accelerating the Training of Deep Neural Networks


AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges

Unprocessing Images for Learned Raw Denoising

CycleISP: Real Image Restoration via Improved Data Synthesis

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report

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

Perceptual Image Enhancement for Smartphone Real-Time Applications

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022
  Challenge Report

Efficient Multi-Lens Bokeh Effect Rendering and Transformation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Real-Time Under-Display Cameras Image Restoration and HDR on Mobile
  Devices

Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step
  Refinement

Reversing Image Signal Processors by Reverse Style Transferring


Modularized Implementation of Deep RL Algorithms in PyTorch

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

DAC: The Double Actor-Critic Architecture for Learning Options

Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation

Generalized Off-Policy Actor-Critic

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

QUOTA: The Quantile Option Architecture for Reinforcement Learning


Python implementation of basic period detection and fitting routines for astronomical time series.

I Spy Transits and Pulsations: Empirical Variability in White Dwarfs Using Gaia and the Zwicky Transient Facility

TESS first look at evolved compact pulsators: asteroseismology of the pulsating helium-atmosphere white dwarf TIC 257459955

Localizing Sources of Variability in Crowded TESS Photometry

New Variable Hot Subdwarf Stars Identified from Anomalous Gaia Flux Errors, Observed by TESS, and Classified via Fourier Diagnostics

The Heating and Pulsations of V386 Serpentis after Its 2019 Dwarf Nova Outburst

Rubin Observatory LSST Transients and Variable Stars Roadmap

Discovery, TESS Characterization, and Modeling of Pulsations in the Extremely Low-mass White Dwarf GD 278

Comprehensive spectroscopic and photometric study of pulsating eclipsing
  binary star AI Hya

Asteroseismological analysis of the polluted ZZ Ceti star G29-38 with
  TESS


MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

FLEXIBLE AND SCALABLE METHODS FOR QUANTIFYING STOCHASTIC VARIABILITY IN THE ERA OF MASSIVE TIME-DOMAIN ASTRONOMICAL DATA SETS

Supermassive Black Holes with High Accretion Rates in Active Galactic Nuclei. VIII. Structure of the Broad-line Region and Mass of the Central Black Hole in Mrk 142

The remarkable X-ray variability of IRAS 13224–3809 – I. The variability process

Monthly notices of the Royal Astronomical Society

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. I. The Fermi-LAT Gamma-Ray Light Curves of Selected Blazars

Discovery of a candidate binary supermassive black hole in a periodic quasar from circumbinary accretion variability

The Lick AGN Monitoring Project 2016: Velocity-resolved Hβ Lags in Luminous Seyfert Galaxies

A full characterization of the supermassive black hole in IRAS 09149–6206

A new approach for measuring power spectra and reconstructing time series in active galactic nuclei

Monthly Notices of the Royal Astronomical Society: Letters

How Can the Optical Variation Properties of Active Galactic Nuclei Be Unbiasedly Measured?


NCrystal : a library for thermal neutron transport in crystals and other materials

Fast neutron sensitivity of neutron detectors based on Boron-10 converter layers

Performance evaluation of the Boron Coated Straws detector with Geant4

Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment

A simulational study of the indirect-geometry neutron spectrometer BIFROST at the European Spallation Source, from neutron source position to detector position

Time- and energy-resolved effects in the boron-10 based multi-grid and helium-3 based thermal neutron detectors

Investigation of neutron scattering in the Multi-Blade detector with Geant4 simulations


[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

SPAct: Self-supervised Privacy Preservation for Action Recognition


Python bindings for YMW16, NE2001 and YT2020 electron density models

A Data-driven Technique Using Millisecond Transients to Measure the Milky Way Halo

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

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

Revealing the Dynamic Magnetoionic Environments of Repeating Fast Radio Burst Sources through Multiyear Polarimetric Monitoring with CHIME/FRB

Improving Distances to Binary Millisecond Pulsars with Gaia

The Green Bank North Celestial Cap Survey. VIII. 21 New Pulsar Timing Solutions


Iron Age and Anglo-Saxon genomes from East England reveal British migration history

Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia

A genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia

The genomic origins of the Bronze Age Tarim Basin mummies

Triangulation supports agricultural spread of the Transeurasian languages

Emergence of human-adapted Salmonella enterica is linked to the Neolithization process

Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland

Ancient genomic time transect from the Central Asian Steppe unravels the history of the Scythians

Ancient genome-wide analyses infer kinship structure in an Early Medieval Alemannic graveyard

The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect


Colocalization analysis of genetic association signals

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits

Analyzing and Reconciling Colocalization and Transcriptome-wide Association Studies from the Perspective of Inferential Reproducibility

Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

Transcriptome wide association studies: general framework and methods

Transcriptome-wide Association Study and eQTL colocalization identify potentially causal genes responsible for bone mineral density GWAS associations


Simple and performant implementations of learner performance prediction algorithms.

A Self-Attentive model for Knowledge Tracing

DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills


SGPT: GPT Sentence Embeddings for Semantic Search

Generative Representational Instruction Tuning

Neural Embeddings for Text


Code to accompany "Human-Level Performance in No-Press Diplomacy via Equilibrium Search", published at ICLR 2021

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

No-Press Diplomacy from Scratch


CP-JKU submission to DCASE 20

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks

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

Receptive-field-regularized CNN variants for acoustic scene classification

Low-Complexity Models for Acoustic Scene Classification Based on
  Receptive Field Regularization and Frequency Damping


Prospective environmental and economic life cycle assessment of vehicles made blazing fast.


Spike sorting software

Scaling Spike Detection and Sorting for Next-Generation Electrophysiology

Rhythmic coordination and ensemble dynamics in the hippocampal-prefrontal network during odor-place associative memory and decision making

Coordinated Head Direction Representations in Mouse Anterodorsal Thalamic Nucleus and Retrosplenial Cortex


A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs

SOSTOOLS Version 4.00 Sum of Squares Optimization Toolbox for MATLAB

Verifying Switched System Stability With Logic

International Conference on Hybrid Systems: Computation and Control

Algorithmic construction of Lyapunov functions for continuous vector
  fields via convex semi-infinite programs

Strengthening SONC Relaxations with Constraints Derived from Variable
  Bounds

Sparse Identification of Nonlinear Dynamics with Side Information
  (SINDy-SI)


Gaia science performance simulation toolkit

Hunting for open clusters in Gaia DR2: 582 new open clusters in the Galactic disc

Synthetic Gaia surveys from the FIRE cosmological simulations of Milky Way-mass galaxies.

Hunting for open clusters in Gaia DR2: the Galactic anticentre

The internal rotation of globular clusters revealed by Gaia DR2

Proper motions of Milky Way Ultra-Faint satellites with Gaia DR2 × DES DR1

The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream

Dynamical traceback age of the β Pictoris moving group

INFERRING THE GRAVITATIONAL POTENTIAL OF THE MILKY WAY WITH A FEW PRECISELY MEASURED STARS

Astrometry with the WFIRST Wide-Field Imager

Biases in the determination of dynamical parameters of star clusters: today and in the Gaia era


Download and Visualize Essential Global Heating Data in R


An information security preparedness tool to do adversarial simulation.

SoK: A Survey of Open-Source Threat Emulators

Cyber Attack and Defense Emulation Agents

SoK: The MITRE ATT&CK Framework in Research and Practice


Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Embedding Transfer with Label Relaxation for Improved Metric Learning

Slowing Down the Weight Norm Increase in Momentum-based Optimizers


Riemannian geometry and automatic differentiation for optimization problems of quantum physics and quantum technologies

QGOpt: Riemannian optimization for quantum technologies


Convolutional Recurrent Neural Networks for Music Classification

Automatic tagging using deep convolutional neural networks

Semi-Supervised Music Tagging Transformer


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

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

Session-Based Social Recommendation via Dynamic Graph Attention Networks

User Response Prediction in Online Advertising

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

Ekar: An Explainable Method for Knowledge Aware Recommendation

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

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

Dynamic Parameterized Network for CTR Prediction

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science


Diverse Branch Block: Building a Convolution as an Inception-like Unit

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition


GraphCast: Learning skillful medium-range global weather forecasting

Forecasting Global Weather with Graph Neural Networks

Graph-based Neural Weather Prediction for Limited Area Modeling


plots things that are not boxplots

A role for the cortex in sleep-wake regulation

Confidence Predictions Affect Performance Confidence and Neural Preparation in Perceptual Decision Making

Longitudinal functional brain network reconfiguration in healthy aging

Anterior cingulate cortex differently modulates fronto-parietal functional connectivity between resting-state and working memory tasks

XLF acts as a flexible connector during non-homologous end joining

Missing Voices, Hidden Fields: The Gendered Struggles of Female Farmworkers

Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function

A genetically defined tecto-thalamic pathway drives a system of superior-colliculus-dependent visual cortices

Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence


Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

Protein interaction studies in human induced neurons indicate convergent biology underlying autism spectrum disorders

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia


The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper

SQuAD: 100,000+ Questions for Machine Comprehension of Text

SCROLLS: Standardized CompaRison Over Long Language Sequences

Efficient Long-Text Understanding with Short-Text Models

Enhancing text comprehension for Question Answering with Contrastive Learning

Workshop on Representation Learning for NLP


BAMscale is a one-step tool for either 1) quantifying and normalizing the coverage of peaks or 2) generated scaled BigWig files for easy visualization of commonly used DNA-seq capture based methods.

BAMscale: quantification of next-generation sequencing peaks and generation of scaled coverage tracks

Dynamics of replication origin over-activation

Transcription shapes DNA replication initiation to preserve genome integrity

CXCL4 synergizes with TLR8 for TBK1-IRF5 activation, epigenomic remodeling and inflammatory response in human monocytes


Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018

Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics

Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application


Bonsai GPU tree code

An FMM Based on Dual Tree Traversal for Many-core Architectures

Modelling the Milky Way as a dry Galaxy

Exploring the Sgr–Milky Way–disk Interaction Using High-resolution N-body Simulations

GOTHIC: Gravitational oct-tree code accelerated by hierarchical time step controlling

Trimodal structure of Hercules stream explained by originating from bar resonances

The effect of kick velocities on the spatial distribution of millisecond pulsars and implications for the Galactic center excess

Impact of bar resonances in the velocity–space distribution of the solar neighbourhood stars in a self-consistentN-body Galactic disc simulation


MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering

Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift


This is a implementation of SDNE (Structural Deep Network embedding)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Structural Deep Network Embedding

Deep Learning on Graphs: A Survey

Network Representation Learning: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Billion-scale Network Embedding with Iterative Random Projection

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Search Efficient Binary Network Embedding

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering


Paper implementations from scratch and machine learning tutorials

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

Language Models are Unsupervised Multitask Learners

mixup: Beyond Empirical Risk Minimization

Axiomatic Attribution for Deep Networks

Emerging Properties in Self-Supervised Vision Transformers

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

MLP-Mixer: An all-MLP Architecture for Vision

Implicit Neural Representations with Periodic Activation Functions

Manifold Mixup: Better Representations by Interpolating Hidden States

Differentiable Augmentation for Data-Efficient GAN Training


Free and open-source application (command line and GUI) providing QSAR models predictions as well as applicability domain and accuracy assessment for physicochemical properties, environmental fate and toxicological endpoints. ==================>Download the latest compiled version from the "releases" tab and run the executable installer.

PaDEL‐descriptor: An open source software to calculate molecular descriptors and fingerprints

The CompTox Chemistry Dashboard: a community data resource for environmental chemistry

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

OPERA models for predicting physicochemical properties and environmental fate endpoints

CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity

Open-source QSAR models for pKa prediction using multiple machine learning approaches

An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling

CATMoS: Collaborative Acute Toxicity Modeling Suite

Predictive Models for Acute Oral Systemic Toxicity: A Workshop to Bridge the Gap from Research to Regulation.

Computational toxicology (Amsterdam, Netherlands)


Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

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

Graceful Degradation and Related Fields


This repo contains a set of neural transducer, e.g. sequence-to-sequence model, focusing on character-level tasks.

Applying the Transformer to Character-level Transduction

Exact Hard Monotonic Attention for Character-Level Transduction

Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models

Morphological Irregularity Correlates with Frequency

Differentiable Generative Phonology

Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems


Pchatbot: A Large-Scale Dataset for Personalized Chatbot

One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

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

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot

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


A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

International Conference on Computer Vision

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

IEEE transactions on pattern analysis and machine intelligence

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection


A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

Domain-Adversarial Training of Neural Networks

A DIRT-T Approach to Unsupervised Domain Adaptation

Self-ensembling for visual domain adaptation

Correlation Alignment for Unsupervised Domain Adaptation


LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020

MonoScene: Monocular 3D Semantic Scene Completion

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

Adversarial Video Generation on Complex Datasets

Generating Videos with Dynamics-aware Implicit Generative Adversarial
  Networks

Lower Dimensional Kernels for Video Discriminators

Neural networks : the official journal of the International Neural Network Society

Temporal Shift GAN for Large Scale Video Generation


Official implementation of the paper Stochastic Latent Residual Video Prediction

Stochastic Image-to-Video Synthesis using cINNs

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

Understanding Object Dynamics for Interactive Image-to-Video Synthesis

Unsupervised Video Prediction from a Single Frame by Estimating 3D
  Dynamic Scene Structure


KG Inductive Link Prediction Challenge (ILPC) 2022

Composition-based Multi-Relational Graph Convolutional Networks

NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs

An Open Challenge for Inductive Link Prediction on Knowledge Graphs


A maze generator and solver written in Python, which uses a backtracker algorithm and Djikstra's algorithm.

Heuristic Search Planning with Deep Neural Networks using Imitation,
  Attention and Curriculum Learning

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal


Script for downloading GitHub.

A Systematic Evaluation of Large Language Models of Code

The Stack: 3 TB of permissively licensed source code

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open
  Generative Large Language Models


DeepLab resnet v2 model in pytorch

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Fast End-to-End Trainable Guided Filter

Deformable kernel networks for guided depth map upsampling


PyTorch implementation of "Supervised Contrastive Learning"  (and SimCLR incidentally)

A Simple Framework for Contrastive Learning of Visual Representations

Supervised Contrastive Learning

i-Mix: A Strategy for Regularizing Contrastive Representation Learning

Multi-Objective Interpolation Training for Robustness to Label Noise

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual
  Representation Learners

Hybrid Discriminative-Generative Training via Contrastive Learning

No Reason for No Supervision: Improved Generalization in Supervised Models

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility


Code for Supervised Word Mover's Distance (SWMD)

Supervised Word Mover's Distance

Supervised Tree-Wasserstein Distance

Wasserstein-Fisher-Rao Document Distance

Approximating 1-Wasserstein Distance with Trees


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

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model
  Pretraining

Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark
  of Data, Model, and Supervision

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware
  Attention

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

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger

Boosting Visual-Language Models by Exploiting Hard Samples

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


DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Generative Image Inpainting with Contextual Attention

Free-Form Image Inpainting with Gated Convolution

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Deep Model Transferability from Attribution Maps

LaFIn: Generative Landmark Guided Face Inpainting

Pixel-wise Dense Detector for Image Inpainting

Fast Self-Adaptive Digital Camouflage Design Method Based on Deep Learning

Chest X-ray Inpainting with Deep Generative Models

Iterative facial image inpainting based on an encoder-generator architecture


StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Alias-Free Generative Adversarial Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis


Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

Knowledge Association with Hyperbolic Knowledge Graph Embeddings

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment

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

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

A Self-supervised Method for Entity Alignment

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

CAREA: Cotraining Attribute and Relation Embeddings for Cross-Lingual Entity Alignment in Knowledge Graphs


Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Structured Object-Aware Physics Prediction for Video Modeling and Planning

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

Variational Tracking and Prediction with Generative Disentangled
  State-Space Models


ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings

Smoothed Contrastive Learning for Unsupervised Sentence Embedding

DistilCSE: Effective Knowledge Distillation For Contrastive Sentence
  Embeddings


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

Very Deep Convolutional Networks for Large-Scale Image Recognition

Few-shot Object Detection via Feature Reweighting

Incremental Learning of Object Detectors without Catastrophic Forgetting


WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

WaNet -- Imperceptible Warping-based Backdoor Attack


This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

Distributed Mapping with Privacy and Communication Constraints:
  Lightweight Algorithms and Object-based Models

The international journal of robotics research

BDPGO: Balanced Distributed Pose Graph Optimization Framework for Swarm
  Robotics

Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus
  ADMM


Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study

medRxiv : the preprint server for health sciences

Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors.

COVID-19 in New York state: Effects of demographics and air quality on infection and fatality

Ecological studies of COVID-19 and air pollution: How useful are they?

Environmental epidemiology (Philadelphia, Pa.)


Fast expectation maximization for microbial source tracking

FEAST: fast expectation-maximization for microbial source tracking

Distribution of Bacterial Endophytes in the Non-lesion Tissues of Potato and Their Response to Potato Common Scab

Chicken Manure and Mushroom Residues Affect Soil Bacterial Community Structure but Not the Bacterial Resistome When Applied at the Same Rate of Nitrogen for 3 Years

Determination of a criminal suspect using environmental plant DNA metabarcoding technology

Assembly, Core Microbiota, and Function of the Rhizosphere Soil and Bark Microbiota in Eucommia ulmoides

The molecular impact of life in an indoor environment

Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China


Adds gCO2eq emissions to nvidia-smi.


Meta-Learning with Differentiable Convex Optimization

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Iterative label cleaning for transductive and semi-supervised few-shot learning

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach


[NeurIPS 2019] Deep Leakage From Gradients

Inverting Gradients - How easy is it to break privacy in federated learning?

Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges

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

TextHide: Tackling Data Privacy in Language Understanding Tasks

Federated Deep Learning with Bayesian Privacy

Deep Leakage from Gradients

Recover User’s Private Training Image Data by Gradient in Federated Learning

FLIPS: Federated Learning using Intelligent Participant Selection


Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph Neural Network for Traffic Forecasting: A Survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE transactions on intelligent transportation systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management

Gated Graph Recurrent Neural Networks


Pairwise SNP distance matrix from a FASTA sequence alignment

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

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

Evaluation of phylogenetic reconstruction methods using bacterial whole genomes: a simulation based study

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

Genome Dynamics of Vibrio cholerae Isolates Linked to Seasonal Outbreaks of Cholera in Dhaka, Bangladesh

Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units

Previously undetected super-spreading of Mycobacterium tuberculosis revealed by deep sequencing

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

Variation and transmission of the human gut microbiota across multiple familial generations

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings


Age and Gender Classification using Convolutional Neural Networks

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output
  Probabilities

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning


Integral Neural Networks in PyTorch

Neural Ordinary Differential Equations

Implicit Neural Representations with Periodic Activation Functions

Integral Neural Networks


Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model

Remote sensing in ecology and conservation


Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning

International Conference on Multimedia Retrieval

Canonical Saliency Maps: Decoding Deep Face Models


Energy-based Out-of-distribution Detection

Provable Guarantees for Understanding Out-of-distribution Detection

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Towards Accurate Open-Set Recognition via Background-Class Regularization

Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection


A method for training neural networks that are provably robust to adversarial attacks.

Explaining and Harnessing Adversarial Examples

Certified Adversarial Robustness via Randomized Smoothing

Provable defenses against adversarial examples via the convex outer adversarial polytope

Evaluating Robustness of Neural Networks with Mixed Integer Programming

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

On the Geometry of Adversarial Examples

Tight Certification of Adversarially Trained Neural Networks via
  Nonconvex Low-Rank Semidefinite Relaxations


Generate IGV style locus tracks from bigWig files in R

SIAH ubiquitin E3 ligases as modulators of inflammatory gene expression


A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

GPT Understands, Too

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification

Towards Unified Prompt Tuning for Few-shot Text Classification

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker


A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Adapting by Pruning: A Case Study on BERT

Novelty Detection: A Perspective from Natural Language Processing

International Conference on Computational Logic

Contradiction Detection in Persian Text


DeepOnto: A Python Package for Ontology Engineering with Deep Learning

Contextualized Structural Self-supervised Learning for Ontology Matching


A BERT-based Chinese Text Encoder Enhanced by N-gram Representations

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

Meeting of the Association for Computational Linguistics

Summarizing Medical Conversations via Identifying Important Utterances

International Conference on Computational Linguistics

Improving Constituency Parsing with Span Attention

Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams


Nanopore data  assembler

Efficient assembly of nanopore reads via highly accurate and intact error correction

Semi-automated assembly of high-quality diploid human reference genomes

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensis

A strategy for complete telomere-to-telomere assembly of ciliate macronuclear genome using ultra-high coverage Nanopore data

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

Whole Genome Sequence of Alternaria alternata, the Causal Agent of Black Spot of Kiwifruit

Near-Chromosome-Level Genome Assembly of the Dark Septate Endophyte Laburnicola rhizohalophila: A Model for Investigating Root-Fungus Symbiosis

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

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling


ZPar statistical parser. Universal language support (depending on the availability of training data), with language-specific features for Chinese and English. Currently support word segmentation, POS tagging, dependency and phrase-structure parsing.

Measuring the Information Content of Financial News

Neural Transition-based Syntactic Linearization

Dependency Language Models for Transition-based Dependency Parsing


Deep Learning for Anomaly Detection: A Survey

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams

Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection


Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

Representation Learning with Contrastive Predictive Coding

Neural Discrete Representation Learning

Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks


Understanding emotions from audio files using neural networks and multiple datasets.

Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients

IEEE Conference on Evolving and Adaptive Intelligent Systems

Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants

Emotion Filtering at the Edge


SMC++ infers population history from whole-genome sequence data.

Yam genomics supports West Africa as a major cradle of crop domestication

Genomic basis of homoploid hybrid speciation within chestnut trees

Limits and Convergence properties of the Sequentially Markovian Coalescent

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

Sweepstakes reproductive success via pervasive and recurrent selective sweeps

Patterns of recombination in snakes reveal a tug-of-war between PRDM9 and promoter-like features

bioRxiv : the preprint server for biology

Genetic diversity landscapes in outcrossing and selfingCaenorhabditisnematodes

Genetic Diversity, Population Structure, and Environmental Adaptation Signatures of Chinese Coastal Hard-Shell Mussel Mytilus coruscus Revealed by Whole-Genome Sequencing

International journal of molecular sciences

Genetic structure and characteristics of Tibetan chickens


Source code about machine learning and security.

CyExec*: A High-Performance Container-Based Cyber Range With Scenario Randomization

Security Information Sharing in Smart Grids: Persisting Security Audits to the Blockchain

An exploratory study on the predominant programming paradigms in Python code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Hacking Neural Networks: A Short Introduction


An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

A test metric for assessing single-cell RNA-seq batch correction

Assessment of batch-correction methods for scRNA-seq data with a new test metric

The cellular immune response to COVID-19 deciphered by single cell multi-omics across three UK centres

Effective and scalable single-cell data alignment with non-linear canonical correlation analysis


This contains an evolving dataset of fake and real images shared in social media.

Detection and visualization of misleading content on Twitter

International journal of multimedia information retrieval

Discover Your Social Identity from What You Tweet: A Content Based Approach

Combating disinformation in a social media age

Web Video Verification using Contextual Cues

Proceedings of the 2nd International Workshop on Multimedia Forensics and Security

Visual and Textual Analysis for Image Trustworthiness Assessment within Online News

Misleading Metadata Detection on YouTube

A Unified Approach of Detecting Misleading Images via Tracing its
  Instances on Web and Analysing its Past Context for the Verification of
  Content

VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For
  Explaining Extreme Pricing Anomalies


[ICCV 2017] Torch code for Grad-CAM

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

International journal of computer vision

VQA: Visual Question Answering

Grad-CAM: Why did you say that?

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Adaptive Deep Learning through Visual Domain Localization

GWSkyNet-Multi: A Machine-learning Multiclass Classifier for LIGO–Virgo Public Alerts


Sentence paraphrase generation at the sentence level

Automatic Fact-guided Sentence Modification

Abstractive Snippet Generation

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

Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue

Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers


A library to conduct ranking experiments with transformers.

On the Calibration and Uncertainty of Neural Learning to Rank Models.

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?

Weakly Supervised Label Smoothing

Moving Stuff Around: A study on efficiency of moving documents into
  memory for Neural IR models


Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Meta-Learning with Implicit Gradients

Teaching with Commentaries

OmniPrint: A Configurable Printed Character Synthesizer

Meta-Learning with Adjoint Methods

Few-Shot Text Classification with Global–Local Feature Information

Multi-step Estimation for Gradient-based Meta-learning

Convergence of First-Order Algorithms for Meta-Learning with Moreau
  Envelopes


[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)

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

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training
  (SCPT)


NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Multi-View Mesh Reconstruction with Neural Deferred Shading


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

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

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

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

A Hierarchical Latent Structure for Variational Conversation Modeling

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

Human-centric Dialog Training via Offline Reinforcement Learning

Hierarchical Reinforcement Learning for Open-Domain Dialog

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

Mind Reader: Reconstructing complex images from brain activities

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

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

Mutual Information Divergence: A Unified Metric for Multimodal
  Generative Models

Variational Distribution Learning for Unsupervised Text-to-Image Generation


mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large
  Language Model


An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

BERTScore: Evaluating Text Generation with BERT

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

Proceedings of the 17th International Conference on Spoken Language Translation

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons


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

Re-evaluating Evaluation in Text Summarization

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

How well do you know your summarization datasets?

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

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

Evaluating the Efficacy of Summarization Evaluation across Languages

Mark-Evaluate: Assessing Language Generation using Population Estimation Methods

ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive
  Summarization


Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Implementation of the LandTrendr Algorithm on Google Earth Engine

Mapping Above-Ground Carbon Stocks at the Landscape Scale to Support a Carbon Compensation Mechanism: The Chocó Andino Case Study


Code for the paper:      Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

Neural Relational Inference for Interacting Systems

Learning interaction rules from multi-animal trajectories via augmented behavioral models


Masked Visual Pre-training for Robotics

Masked Visual Pre-training for Motor Control

Real-World Robot Learning with Masked Visual Pre-training

SORNet: Spatial Object-Centric Representations for Sequential Manipulation


Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Nematus: a Toolkit for Neural Machine Translation

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Deep Learning for Source Code Modeling and Generation

Learning Python Code Suggestion with a Sparse Pointer Network

Neural Machine Translation for Code Generation


A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

TIAToolbox as an end-to-end library for advanced tissue image analytics

Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and
  Future Directions

One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer

Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis

Zenodo (CERN European Organization for Nuclear Research)


A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

Towards Robust Interpretability with Self-Explaining Neural Networks

On the Robustness of Interpretability Methods

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

How Convolutional Neural Networks Diagnose Plant Disease

Trustworthy AI: A Computational Perspective

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Toward Explainable AI for Regression Models

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Towards Faithful Model Explanation in NLP: A Survey

Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative


Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions"  https://arxiv.org/abs/2201.12296

Dynamic Graph CNN for Learning on Point Clouds

Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline

PointCutMix: Regularization Strategy for Point Cloud Classification

Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions


scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

SParC: Cross-Domain Semantic Parsing in Context

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

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Optimizing Deeper Transformers on Small Datasets

ValueNet: A Natural Language-to-SQL System that Learns from Database Information

An Imitation Game for Learning Semantic Parsers from User Interaction

ValueNet: A Neural Text-to-SQL Architecture Incorporating Values

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large
  Language Models


ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

The Financial Narrative Summarisation Shared Task (FNS 2023)

The Financial Narrative Summarisation Shared Task FNS 2021:FNS 2021

Extractive Financial Narrative Summarisation using SentenceBERT Based Clustering

Transformer-based Models for Long Document Summarisation in Financial Domain

Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space

˜The œinternational Arab journal of information technology

Summarisation with Majority Opinion

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

Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

The International FLAIRS Conference Proceedings


Humanoid robotics prototyping environment based on OpenRAVE

ZMP Support Areas for Multicontact Mobility Under Frictional Constraints

Multi-contact Walking Pattern Generation based on Model Preview Control of 3D COM Accelerations

Capturability-based Pattern Generation for Walking with Variable Height

Dynamic Walking over Rough Terrains by Nonlinear Predictive Control of
  the Floating-base Inverted Pendulum

When to make a step? Tackling the timing problem in multi-contact locomotion by TOPP-MPC

Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model

Balance control using both ZMP and COM height variations: A convex
  boundedness approach

Balance of Humanoid robot in Multi-contact and Sliding Scenarios


Code for  "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".

QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection


Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Attention U-Net: Learning Where to Look for the Pancreas

Enforcing temporal consistency in Deep Learning segmentation of brain MR images

A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation

Wireless communications and mobile computing


WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution

Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions

Workshop on Cognitive Aspects of the Lexicon

Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks


[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

Evaluations and Methods for Explanation through Robustness Analysis


LexRank algorithm for text summarization

Self-Supervised and Controlled Multi-Document Opinion Summarization

Frustratingly Easy Model Ensemble for Abstractive Summarization

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

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

Argumentative Text Generation in Economic Domain

Computational Linguistics and Intellectual Technologies

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


Tensorflow implementation of Hyperspherical Variational Auto-Encoders

TensorFlow Distributions

Adversarial Autoencoders with Constant-Curvature Latent Manifolds


The Ethereum Smart Contract Fuzzer for Security Vulnerability Detection (ASE 2018)

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Precise Attack Synthesis for Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey

Empirical Review of Smart Contract and DeFi Security: Vulnerability
  Detection and Automated Repair


Implementation of papers for text classification task on DBpedia

Convolutional Neural Networks for Sentence Classification

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

A Survey on Text Classification: From Shallow to Deep Learning

"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers


Dynamic analysis of Android apps

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Semi-supervised classification for dynamic Android malware detection

Machine learning-based dynamic analysis of Android apps with improved code coverage

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

Improving Dynamic Analysis of Android Apps Using Hybrid Test Input
  Generation

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

A Fog Computing Solution for Context-Based Privacy Leakage Detection for Android Healthcare Devices

An Analysis of Android Malware Classification Services

FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware