GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

International Conference on Computer Vision

Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images

Integrating Prior Knowledge in Contrastive Learning with Kernel

Improving fine-grained understanding in image-text pre-training

Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images


An experimental version of the BQ client which adds client-side encryption

SoK: Cryptographically Protected Database Search

Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach

Secure Parallel Processing of Big Data Using Order-Preserving Encryption on Google BigQuery

DiCE -- A Data Encryption Proxy for the Cloud


Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit


Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

AutoAugment: Learning Augmentation Policies from Data

Unlabeled Data Improves Adversarial Robustness

Decoupled Knowledge Distillation

Rethinking the Pruning Criteria for Convolutional Neural Network

Relating Adversarially Robust Generalization to Flat Minima

Grounding inductive biases in natural images:invariance stems from variations in data

Encoding Robustness to Image Style via Adversarial Feature Perturbations

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection

Transformer Fusion with Optimal Transport


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

Iterative facial image inpainting based on an encoder-generator architecture

Chest X-ray Inpainting with Deep Generative Models

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


libsais is a library for linear time suffix array, longest common prefix array and burrows wheeler transform construction based on induced sorting algorithm.

On the Optimisation of the GSACA Suffix Array Construction Algorithm

A survey of BWT variants for string collections

Matching Statistics speed up BWT construction

Generic Non-recursive Suffix Array Construction


[CVPR2020] Adversarial Latent Autoencoders

Label-Efficient Semantic Segmentation with Diffusion Models

Adversarial Latent Autoencoders

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

Unpaired Image-to-Image Translation via Latent Energy Transport

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery

Light Schrödinger Bridge


A bioinformatics software tool for clinical interpretation of genetic variants by the 2015 ACMG-AMP guideline

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation

Genetics in medicine : official journal of the American College of Medical Genetics

Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis

CardioClassifier – demonstrating the power of disease- and gene-specific computational decision support for clinical genome interpretation


Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series

ViTs for SITS: Vision Transformers for Satellite Image Time Series

Revisiting the Encoding of Satellite Image Time Series


Please see the readme file as well as our 2019 EMNLP paper linked here -->

GenPADS: Reinforcing politeness in an end-to-end dialogue system

A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining

Parameter Efficient Reinforcement Learning from Human Feedback

Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model


[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

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


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


Multiple sequence and structure alignment with top benchmark scores scalable to thousands of sequences. Generates replicate alignments, enabling assessment of downstream analyses such as trees and predicted structures.

High-accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogeny

Candidatus Alkanophaga archaea from Guaymas Basin hydrothermal vent sediment oxidize petroleum alkanes

Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads

Resequencing of durian genomes reveals large genetic variations among different cultivars


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

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

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

A Graph Dynamics Prior for Relational Inference


Quality information extraction at web scale.

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

Bootstrapping for Numerical Open IE

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2

Demonyms and Compound Relational Nouns in Nominal Open IE

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization

International Joint Conference on Natural Language Processing

Porting an Open Information Extraction System from English to German

Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining

International Conference on Computational Semantics

More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing

Towards an Automated Requirements-driven Development of Smart Cyber-Physical Systems


Repository for Scale-recurrent Network for Deep Image Deblurring

Deep Ordinal Regression Network for Monocular Depth Estimation

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

International Journal of Computer Vision

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


An Efficient Chinese Text Classifier

Towards a Robust Deep Neural Network in Texts: A Survey

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization

Super Characters: A Conversion from Sentiment Classification to Image Classification

A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU

Journal of Organizational and End User Computing

Datasets for Large Language Models: A Comprehensive Survey

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension

ClusTop: An unsupervised and integrated text clustering and topic extraction framework


LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language
  Navigation

Explainable Multimodal Emotion Reasoning

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

High-Resolution Representations for Labeling Pixels and Regions

OpenScene: 3D Scene Understanding with Open Vocabularies

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation


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

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

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

Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis

Zenodo (CERN European Organization for Nuclear Research)

One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer

Utility of artificial intelligence in a binary classification of soft tissue tumors

Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial


OpenPose's Unity Plugin for Unity users

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

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

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping


This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

Evaluating Conversational Recommender Systems via User Simulation

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

Plato Dialogue System: A Flexible Conversational AI Research Platform

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems

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

User Simulation for Evaluating Information Access Systems

Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges

How to Evaluate Your Dialogue Models: A Review of Approaches


PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Learning Gradient Fields for Shape Generation

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


A challenge to explore adversarial robustness of neural networks on MNIST.

Towards Deep Learning Models Resistant to Adversarial Attacks

Robustness May Be at Odds with Accuracy

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Generating Adversarial Examples with Adversarial Networks

Exploring the Landscape of Spatial Robustness

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Towards the first adversarially robust neural network model on MNIST

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

MMA Training: Direct Input Space Margin Maximization through Adversarial Training


LaneNet implementation in PyTorch

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Towards End-to-End Lane Detection: an Instance Segmentation Approach

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving


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


Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Text Recognition in the Wild: A Survey

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

Rethinking Irregular Scene Text Recognition

OmniPrint: A Configurable Printed Character Synthesizer

An Empirical Study of Scaling Law for OCR

Weakly Supervised Scene Text Detection using Deep Reinforcement Learning


[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

Med3D: Transfer Learning for 3D Medical Image Analysis

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking


AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Unsupervised Speech Decomposition via Triple Information Bottleneck

VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning

NVC-Net: End-to-End Adversarial Voice Conversion

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

How Far Are We from Robust Voice Conversion: A Survey

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion


RepeatMasker is a program that screens DNA sequences for interspersed repeats and low complexity DNA sequences.

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Reconstruction of ancient homeobox gene linkages inferred from a new high-quality assembly of the Hong Kong oyster (Magallana hongkongensis) genome

Contingency in the convergent evolution of a regulatory network: Dosage compensation in Drosophila

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

SINE-Based Phylogenomics Reveal Extensive Introgression and Incomplete Lineage Sorting in Myotis

Gigantic Genomes Provide Empirical Tests of Transposable Element Dynamics Models

基因组蛋白质组与生物信息学报

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators

Chromosome-level genome assembly of the sea cucumber Apostichopus japonicus

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)


Learning Named Entity Tagger from Domain-Specific Dictionary

Automated Phrase Mining from Massive Text Corpora

Learning Named Entity Tagger using Domain-Specific Dictionary

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning


Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (https://arxiv.org/abs/2010.05700).

Multiple-Attribute Text Style Transfer

Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer

A Probabilistic Formulation of Unsupervised Text Style Transfer

Weakly-Supervised Open-Retrieval Conversational Question Answering


A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

FaceNet: A Unified Embedding for Face Recognition and Clustering

VGGFace2: A dataset for recognising faces across pose and age

Partial FC: Training 10 Million Identities on a Single Machine


GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration

Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

A Field Calibration Solution to Achieve High-Grade-Level Performance for Low-Cost Dual-Frequency GNSS Receiver and Antennas

An Improved QZSS Satellite Clock Offsets Prediction Based on the Extreme Learning Machine Method

The Impact of Different Ocean Tide Loading Models on GNSS Estimated Zenith Tropospheric Delay Using Precise Point Positioning Technique

A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications

TransNav: International Journal on Marine Navigation and Safety of Sea Transportation


CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Efficient Multi-order Gated Aggregation Network


Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Denoising Diffusion Probabilistic Models

Diffusion Models Beat GANs on Image Synthesis

Conffusion: Confidence Intervals for Diffusion Models

Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


Info and sample codes for "NTU RGB+D Action Recognition Dataset"

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

RGB-D-based Human Motion Recognition with Deep Learning: A Survey

A Survey on Human-aware Robot Navigation

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition

MSST-RT: Multi-Stream Spatial-Temporal Relative Transformer for Skeleton-Based Action Recognition

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

Future Pose Prediction from 3D Human Skeleton Sequence with Surrounding Situation


Character-level Convolutional Networks for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT II

Active Learning with Query Generation for Cost-Effective Text Classification

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

Robust Text Classifier on Test-Time Budgets

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation


Speech Toolkit for Malaysian language, https://malaya-speech.readthedocs.io/

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

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

FastPitch: Parallel Text-to-speech with Pitch Prediction

Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains


Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

The autofeat Python Library for Automated Feature Engineering and Selection

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions


[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

Rethinking Range View Representation for LiDAR Segmentation

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network


An awesome PyTorch NeRF library

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

Plenoxels: Radiance Fields without Neural Networks

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

NeRF++: Analyzing and Improving Neural Radiance Fields

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption


Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Multiple-Attribute Text Style Transfer

Deep Learning for Text Style Transfer: A Survey

Style Transfer as Unsupervised Machine Translation

Explaining The Efficacy of Counterfactually Augmented Data

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer

Text Style Transfer

Composable Text Controls in Latent Space with ODEs

Text Style Transfer with Contrastive Transfer Pattern Mining

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

From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer


CRF++: Yet Another CRF toolkit

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

NLP Web Services for Resource-Scarce Languages

Meeting of the Association for Computational Linguistics

Diacritization of Maghrebi Arabic Sub-Dialects

How do you correct run-on sentences it's not as easy as it seems


PyTorch implementation of Glow

Glow: Generative Flow with Invertible 1x1 Convolutions

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Latent Space Smoothing for Individually Fair Representations

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Diffeomorphic Counterfactuals with Generative Models

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems

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

Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data

AmbientFlow: Invertible generative models from incomplete, noisy measurements


The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms.  We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Scalable Graph Learning for Anti-Money Laundering: A First Look

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models

Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

Fighting Money Laundering With Statistics and Machine Learning

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles

Provably Powerful Graph Neural Networks for Directed Multigraphs


Kernel Point Convolution implemented in PyTorch

KPConv: Flexible and Deformable Convolution for Point Clouds

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Mix3D: Out-of-Context Data Augmentation for 3D Scenes

Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving


Land Ice Verification & Validation Toolkit

LIVVkit 2.1: automated and extensible ice sheet model validation


RV Planet Search Pipeline Based on RadVel

California Legacy Survey. II. Occurrence of Giant Planets beyond the Ice Line

The California Legacy Survey. III. On the Shoulders of (Some) Giants: The Relationship between Inner Small Planets and Outer Massive Planets

Detecting Exomoons from Radial Velocity Measurements of Self-luminous Planets: Application to Observations of HR 7672 B and Future Prospects

TKS X: Confirmation of TOI-1444b and a Comparative Analysis of the Ultra-short-period Planets with Hot Neptunes

On the radial distribution of giant exoplanets at Solar System scales

The California Legacy Survey. IV. Lonely, Poor, and Eccentric: A Comparison between Solitary and Neighborly Gas Giants

A Wolf 359 in Sheep's Clothing: Hunting for Substellar Companions in the Fifth-closest System Using Combined High-contrast Imaging and Radial Velocity Analysis


Access Canadian Historical Climate Data from R

Accounting for missing data in monthly temperature series: Testing rule‐of‐thumb omission of months with missing values


Image feature extraction in Python

Image analysis for taxonomic identification of Javanese butterflies


Implementation of the Regularized Nonlinear Acceleration algorithm

Nonlinear Acceleration of CNNs

Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization

Direct Nonlinear Acceleration


This repository contains a code to infer distances to stellar clusters and its stars from  Gaia parallaxes.

A rich population of free-floating planets in the Upper Scorpius young stellar association

Lupus DANCe. Census of stars and 6D structure with Gaia-DR2 data

Chamaeleon DANCe: Revisiting the stellar populations of Chamaeleon I and Chamaeleon II with Gaia-DR2 data

Ruprecht 147 DANCe I. Members, empirical isochrone, luminosity and mass distributions

Distances to Nearby Molecular Clouds Traced by Young Stars

ALMA observations of the early stages of substellar formation in the Lupus 1 and 3 molecular clouds

An analysis of the most distant cataloged open clusters

Searching for debris discs in the 30 Myr open cluster IC 4665

The cosmic waltz of Coma Berenices and Latyshev 2 (Group X). Membership, phase-space structure, mass, and energy distributions


Fisher forecasting code for use with class_delens

The Benefits of CMB Delensing

Subtracting the kinetic Sunyaev-Zeldovich effect from the cosmic microwave background with surveys of large-scale structure

Probing helium reionization with kinetic Sunyaev Zel'dovich tomography

Improving constraints on models addressing the Hubble tension with CMB delensing

Beyond Fisher forecasting for cosmology

The impact of cross-covariances between the CMB and reconstructed lensing power

Improving Constraints on Inflation with CMB Delensing


PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

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

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Efficient softmax approximation for GPUs

NeuSpell: A Neural Spelling Correction Toolkit

SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification


Visibility sampler

THE COUPLED PHYSICAL STRUCTURE OF GAS AND DUST IN THE IM Lup PROTOPLANETARY DISK

CO and Dust Properties in the TW Hya Disk from High-resolution ALMA Observations

Mass inventory of the giant-planet formation zone in a solar nebula analogue

A Complete ALMA Map of the Fomalhaut Debris Disk

Variable H13CO+ Emission in the IM Lup Disk: X-Ray Driven Time-dependent Chemistry?

EVIDENCE FOR A CO DESORPTION FRONT IN THE OUTER AS 209 DISK

ALMA Detection of Extended Millimeter Halos in the HD 32297 and HD 61005 Debris Disks

H2CO Distribution and Formation in the TW HYA Disk

Resolved Millimeter Observations of the HR 8799 Debris Disk

Increased H2CO production in the outer disk around HD 163296


A python 3 library based on TensorFlow 2 for injecting logical knowledge into neural networks

Knowledge Enhanced Neural Networks

Pacific Rim International Conference on Artificial Intelligence

Neural Networks Enhancement with Logical Knowledge


Wind retrievals for the WindCube lidar


A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models

A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models

The Contribution of Transpiration to Precipitation Over African Watersheds

A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model


R interface to query UCSC bigWig files

Identification of regulatory elements from nascent transcription using dREG

ER-positive breast cancer cells are poised for RET-mediated endocrine resistance

Identification and prediction of developmental enhancers in sea urchin embryos

Chromatin run-on reveals the transcriptional etiology of glioblastoma multiforme

Kinetic networks identify TWIST2 as a key regulatory node in adipogenesis

A bi-stable feedback loop between GDNF, EGR1, and ERα contribute to endocrine resistant breast cancer

Correction of transposase sequence bias in ATAC-seq data with rule ensemble modeling

Integrative genome-scale analyses reveal post-transcriptional signatures of early human small intestinal development in a directed differentiation organoid model


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

Relativistic wide-angle galaxy bispectrum on the light-cone

The Intrinsic Matter Bispectrum in ΛCDM

Journal of Cosmology and Astroparticle Physics

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

Cosmological gravity probes: connecting recent theoretical developments to forthcoming observations

Precise numerical estimation of the magnetic field generated around recombination

The Intrinsic Bispectrum of the Cosmic Microwave Background

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

Magnetogenesis from isocurvature initial conditions


First-order Algorithm via Linearization of Constraints for OPTimization

acados: a modular open-source framework for fast embedded optimal control

Implementation of Model Predictive Control for Tracking in Embedded Systems Using a Sparse Extended ADMM Algorithm

Implementation of MPC in embedded systems using first order methods

A Sparse ADMM-Based Solver for Linear MPC Subject to Terminal Quadratic Constraint


Software to modify lateral boundary conditions of a reanalysis driven historical simulation to obtain the boundary conditions of a future scenario climate simulation following the pseudo-global warming (PGW) approach

Causes of future Mediterranean precipitation decline depend on the season

The Role of Hadley Circulation and Lapse-Rate Changes for the Future European Summer Climate

The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses

Application of the Pseudo-Global Warming Approach in a Kilometer-Resolution Climate Simulation of the Tropics

Journal of Geophysical Research: Atmospheres


RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling

IEEE transactions on pattern analysis and machine intelligence

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Language-Level Semantics Conditioned 3D Point Cloud Segmentation

Automatic labelling of urban point clouds using data fusion


Data analysis suite for X-ray and gamma-ray imagers, particularly for Si/CdTe Compton cameras

Detection of polarized gamma-ray emission from the Crab nebula with the Hitomi Soft Gamma-ray Detector

Publications of the Astronomical Society of Japan

In-orbit performance and calibration of the Hard X-ray Imager onboard Hitomi (ASTRO-H)

Journal of Astronomical Telescopes, Instruments, and Systems

Modeling of proton-induced radioactivation background in hard X-ray telescopes: Geant4-based simulation and its demonstration by Hitomi’s measurement in a low Earth orbit

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Study of the polarimetric performance of a Si/CdTe semiconductor Compton camera for the Hitomi satellite


Contains data, format checker, scorer and baselines for the CLEF2020-CheckThat! Task 1.

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions


Code & short tutorial for modified multi-scale entropy analysis

Thalamocortical excitability modulation guides human perception under uncertainty

Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What’s signal irregularity got to do with it?

Boosts in brain signal variability track liberal shifts in decision bias

Boosting Brain Signal Variability Underlies Liberal Shifts in Decision Bias


KITTeL/KoAT

Alternating Runtime and Size Complexity Analysis of Integer Programs

Tools and Algorithms for Construction and Analysis of Systems

Termination Analysis of C Programs Using Compiler Intermediate Languages

Complexity and Resource Bound Analysis of Imperative Programs Using Difference Constraints

Termination Analysis of Imperative Programs Using Bitvector Arithmetic

Verified Software: Theories, Tools, Experiments

Synthesising Interprocedural Bit-Precise Termination Proofs

Difference Constraints: An adequate Abstraction for Complexity Analysis of Imperative Programs

Inferring Lower Runtime Bounds for Integer Programs

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


Specification of NAF, the NLP annotation format

Large-scale Cross-lingual Language Resources for Referencing and Framing

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

A Tree Extension for CoNLL-RDF

Combining Conceptual and Referential Annotation to Study Variation in Framing


parallel fastq-dump wrapper

A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference

Salmonella Genomic Island 1 is Broadly Disseminated within Gammaproteobacteriaceae

A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery

Multidrug-Resistant Lineage of Enterotoxigenic Escherichia coli ST182 With Serotype O169:H41 in Airline Waste

Quantifying and Cataloguing Unknown Sequences within Human Microbiomes

BarleyExpDB: an integrative gene expression database for barley

Hallmarks of Retroelement Expression in T-Cells Treated With HDAC Inhibitors

The Expression of the Immunoproteasome Subunit PSMB9 Is Related to Distinct Molecular Subtypes of Uterine Leiomyosarcoma

Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease

Insight into pathogenomics and phylogeography of hypervirulent and highly-lethal Mycobacterium tuberculosis strain cluster


Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/


The population of galaxy-galaxy strong lenses in forthcoming optical imaging surveys

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding

Monthly Notices of the Royal Astronomical Society

Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

Finding strong lenses in CFHTLS using convolutional neural networks

The distance sum rule from strong lensing systems and quasars - test of cosmic curvature and beyond

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques

TEST OF PARAMETRIZED POST-NEWTONIAN GRAVITY WITH GALAXY-SCALE STRONG LENSING SYSTEMS

Testing the cosmic curvature at high redshifts: the combination of LSST strong lensing systems and quasars as new standard candles

Implications from Simulated Strong Gravitational Lensing Systems: Constraining Cosmological Parameters Using Gaussian Processes


My version of Dunc Lorimer's public free searching software

Discovery of two new pulsars in 47 Tucanae (NGC 104)

Monthly Notices of the Royal Astronomical Society: Letters

An investigation of pulsar searching techniques with the fast folding algorithm

The Implementation of a Fast-folding Pipeline for Long-period Pulsar Searching in the PALFA Survey

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data

The GMRT High Resolution Southern Sky Survey for Pulsars and Transients. III. Searching for Long-period Pulsars

KERN

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

A Post-correlation Beamformer for Time-domain Studies of Pulsars and Transients

Discovery of 37 new pulsars through GPU-accelerated reprocessing of archival data of the Parkes multibeam pulsar survey


Tools for accessing and maintaining the iTEM model & historical databases

The International Transport Energy Modeling (iTEM) Open Data & Harmonized Transport Database

Zenodo (CERN European Organization for Nuclear Research)


Gridworld domains in the gym interface

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.

BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs


A land use land cover disaggregation and change detection model


Binary neural networks developed by Huawei Noah's Ark Lab

Searching for Low-Bit Weights in Quantized Neural Networks

Training Binary Neural Networks through Learning with Noisy Supervision


A compiler for quantum computers based on A* and numerical optimization.

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach

Efficient quantum gate decomposition via adaptive circuit compression

Exploring finite temperature properties of materials with quantum computers

Highly optimized quantum circuits synthesized via data-flow engines


Open source atmosphere-ocean gas flux data processing tools. Example uses i) calculating global/regional gas fluxes and net integrated values using satellite Earth, model or in situ data (or any combination), ii) uncertainty analyses (eg ensemble runs, input data uncertainty, model uncertainty), iii) evaluating novel gas transfer parameterisations.

FluxEngine: A flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies

Journal of Atmospheric and Oceanic Technology

The FluxEngine air–sea gas flux toolbox: simplified interface and extensions for in situ analyses and multiple sparingly soluble gases


An R package for Bayes Factor Design Analysis

Bayes factor design analysis: Planning for compelling evidence

The effectiveness of schema therapy for patients with anxiety disorders, OCD, or PTSD: A systematic review and research agenda

The British journal of clinical psychology

Associations between aerobic fitness, negative symptoms, cognitive deficits and brain structure in schizophrenia - a cross-sectional study

Additive Effects of Item-Specific and Congruency Sequence Effects in the Vocal Stroop Task

Registered report: The effects of incentivized lies on memory

Additional evidence that valence does not affect serial recall

Quarterly journal of experimental psychology (2006)


Python client library for Guppy

An improved ovine reference genome assembly to facilitate in-depth functional annotation of the sheep genome

Microorganisms as bio‐filters to mitigate greenhouse gas emissions from high‐altitude permafrost revealed by nanopore‐based metagenomics

A Highly Contiguous Genome Assembly of Arthrinium puccinoides

Complete Genome Sequence of Lactobacillus crispatus Type Strain ATCC 33820

A bacterial symbiont in the gill of the marine scallop Argopecten irradians irradians metabolizes dimethylsulfoniopropionate

The highly diverse plasmid population found in Escherichia coli colonizing travellers to Laos and its role in antimicrobial resistance gene carriage

Whole-Genome Shotgun Sequence of Bacillus mycoides Strain U53, a Psychrotolerant Bacterium Isolated from the Sakhalin Region in Russia

Structure and rational engineering of the PglX methyltransferase and specificity factor for BREX phage defence


[ACM MM2019] Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation

Semantic Amodal Segmentation

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)


Approximately balanced estimation of average treatment effects in high dimensions.

A Survey on Causal Inference

Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions

Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties

Estimating causal effects with optimization-based methods: A review and empirical comparison

European Journal of Operational Research

Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap


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

Selective Weak Supervision for Neural Information Retrieval

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

TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-ranking


Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


A prototype of soft contract verification for an untyped functional language

Soft contract verification

International Conference on Functional Programming

Relatively Complete Counterexamples for Higher-Order Programs

Soft contract verification for higher-order stateful programs

Symposium on Principles of Programming Languages

Higher-order symbolic execution for contract verification and refutation


Utility program for extracting sequences from a fasta/fastq file

Secretion of an Argonaute protein by a parasitic nematode and the evolution of its siRNA guides

Conflicting phylogenetic signals in genomic data of the coffee family (Rubiaceae)

Whole genome assemblies ofZophobas morioandTenebrio molitor

Fine scale sampling reveals early differentiation of rhizosphere microbiome from bulk soil in young Brachypodium plant roots


Tag your nature photos with iNat taxonomy and observation metadata


Implementation of corrplot using ggplot2

Transcriptome Analysis of Needle and Root of Pinus Massoniana in Response to Continuous Drought Stress

Do We Need to Breed for Regional Adaptation in Soybean?—Evaluation of Genotype-by-Location Interaction and Trait Stability of Soybean in Germany

Evaluation of Green Super Rice Lines for Agronomic and Physiological Traits under Salinity Stress


This repository is an archive. Refer to https://github.com/gvirtus/GVirtuS

A GPGPU Transparent Virtualization Component for High Performance Computing Clouds

Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading

Concurrency and Computation: Practice and Experience

On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework

International journal of parallel programming

A General-Purpose Virtualization Service for HPC on Cloud Computing: An Application to GPUs

Parallel Processing and Applied Mathematics

The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes

CUDA Virtualization and Remoting for GPGPU Based Acceleration Offloading at the Edge


ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic

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

ARCNN framework for multimodal infodemic detection

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

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities


A computational method for inferring the cancer cell fraction of tumour structural variation from whole-genome sequencing data.

Tracking the origins and drivers of subclonal metastatic expansion in prostate cancer

Decoding human cancer with whole genome sequencing: a review of PCAWG Project studies published in February 2020

SVclone: inferring structural variant cancer cell fraction


Regional Earth System Model

Modelling the Caspian Sea and its catchment area using a coupled regional atmosphere-ocean model (RegCM4-ROMS): model design and preliminary results

Validation of newly designed regional earth system model (RegESM) for Mediterranean Basin

Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1

The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region

Towards in-situ visualization integrated earth system models: RegESM 1.1 regional modelling system

A new approach for in situ analysis in fully coupled earth system models

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization


[ICCV 2019] Monocular depth estimation from a single image

Digging Into Self-Supervised Monocular Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

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

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Integrative Few-Shot Classification and Segmentation for Landslide Detection

M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments

Learning Structured Gaussians to Approximate Deep Ensembles


Toolbox for HODLR and HSS matrices in MATLAB

Solving rank structured Sylvester and Lyapunov equations

hm-toolbox: Matlab software for HODLR and HSS matrices

Numerical methods for large-scale Lyapunov equations with symmetric banded data

Hierarchical adaptive low‐rank format with applications to discretized partial differential equations

Numerical Linear Algebra with Applications

Low-rank updates and divide-and-conquer methods for quadratic matrix equations


Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

Bilevel Optimization: Convergence Analysis and Enhanced Design

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

On the Convergence Theory for Hessian-Free Bilevel Algorithms


A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Global Absence and Targeting of Protective Immune States in Severe COVID-19.

bioRxiv : the preprint server for biology

SARS-CoV-2 infection studies in lung organoids identify TSPAN8 as novel mediator

Systematic benchmarking of single-cell ATAC-sequencing protocols

Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease

Single-Cell RNA Sequencing of Tocilizumab-Treated Peripheral Blood Mononuclear Cells as an in vitro Model of Inflammation

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles

Dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-experienced, checkpoint inhibitor colitis.


PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Class-Incremental Learning: A Survey

Continual Learning with Pre-Trained Models: A Survey

PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

Self-Expansion of Pre-trained Models with Mixture of Adapters for
  Continual Learning


Official code for MatrixVT on BEVDepth.

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception


A python package that decompose the light into PSF and Sersic, fitting based on lenstronomy

Early Results from GLASS-JWST. V: The First Rest-frame Optical Size–Luminosity Relation of Galaxies at z > 7

New insight on the nature of cosmic reionizers from the CEERS survey

A rest-frame near-IR study of clumps in galaxies at 1 < z < 2 using JWST/NIRCam: connection to galaxy bulges

Galaxy shapes of Light (GaLight): a 2D modeling of galaxy images

Peering into cosmic reionization: Ly alpha visibility evolution from galaxies at z = 4.5 - 8.5 with JWST


PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing

Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification

Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover

Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR Sensor

Automated Segmentation of Individual Tree Structures Using Deep Learning over LiDAR Point Cloud Data

Mask-Point: Automatic 3D Surface Defects Detection Network for Fiber-Reinforced Resin Matrix Composites

Geometry Matching for Multi-Embodiment Grasping

First attempt of directionality reconstruction for atmospheric neutrinos in a large homogeneous liquid scintillator detector


Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Face Recognition: Too Bias, or Not Too Bias?

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

Balancing Biases and Preserving Privacy on Balanced Faces in the Wild

Fair Face Verification by Using Non-Sensitive Soft-Biometric Attributes

Automatic Face Understanding: Recognizing Families in Photos


Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

A Survey of Knowledge-enhanced Text Generation

Adversarial Machine Learning in Text Processing: A Literature Survey

Adversarial Machine Learning in Text Analysis and Generation

Knowledge-Enriched Natural Language Generation

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


Repository for the explanation method Calibrated Explanations (CE)

Calibrated Explanations: with Uncertainty Information and Counterfactuals

Calibrated Explanations for Regression


Code for FOCAL Paper Published at ICLR 2021

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

Generalized Decision Transformer for Offline Hindsight Information Matching

FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation


An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Ultra Fast Structure-aware Deep Lane Detection

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection


flexible CDR based distance metrics

Quantifiable predictive features define epitope-specific T cell receptor repertoires

TCR meta-clonotypes for biomarker discovery with tcrdist3 enabled identification of public, HLA-restricted clusters of SARS-CoV-2 TCRs

Can we predict T cell specificity with digital biology and machine learning?

TCR meta-clonotypes for biomarker discovery with tcrdist3: identification of public, HLA-restricted SARS-CoV-2 associated TCR features


A package for single-cell Hi-C data clustering and downstream analysis.

Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data

Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain

Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering


MQT Predictor - A MQT Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Predicting Good Quantum Circuit Compilation Options

Compiler Optimization for Quantum Computing Using Reinforcement Learning

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Towards Application-Aware Quantum Circuit Compilation

Paving the Way to Hybrid Quantum-Classical Scientific Workflows


LPIPS metric. pip install lpips

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

NeX: Real-time View Synthesis with Neural Basis Expansion

FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

Erasing Concepts from Diffusion Models

Positional Normalization

The Spatially-Correlative Loss for Various Image Translation Tasks

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

A Closer Look at Few-shot Image Generation

Consistent View Synthesis with Pose-Guided Diffusion Models


Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.

Stacked Quantizers for Compositional Vector Compression

LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization

Composite Quantization


Collecting AMP MIC data from different sources, then running a GAN to output promising sequences

Deep learning regression model for antimicrobial peptide design

PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction

Accelerating Antimicrobial Peptide Discovery with Latent Structure


Deep learning approaches for statistical downscaling in climate

Configuration and intercomparison of deep learning neural models for statistical downscaling


machine learning package

Crowdsourced mapping of unexplored target space of kinase inhibitors

Fast Kronecker product kernel methods via generalized vec trick

Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method

Generalized vec trick for fast learning of pairwise kernel models


Efficient parallel quantum chemistry DMRG in MPO formalism

Block2: A comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond.

A comparison between the one- and two-step spin-orbit coupling approaches based on the ab initio Density Matrix Renormalization Group

Density Matrix Renormalization Group for Transcorrelated Hamiltonians: Ground and Excited States in ab initio Systems


An R toolkit for estimation of cell composition from bulk expression data

A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response

Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis

Expression quantitative trait locus studies in the era of single-cell omics


Deep Recommenders

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Real-time Personalization using Embeddings for Search Ranking at Airbnb

Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation


This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

StruBERT: Structure-aware BERT for Table Search and Matching

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline

International Conference on Computational Linguistics

Observatory: Characterizing Embeddings of Relational Tables

Self-supervised Text-to-SQL Learning with Header Alignment Training


Performance Analysis Tool

The impact of columnar file formats on SQL-on-hadoop engine performance: A study on ORC and Parquet

Evaluating Hive and Spark SQL with BigBench

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention


The Framework for Aquatic Biogeochemical Models (FABM): a Fortran 2003 programming framework for biogeochemical models of marine and freshwater systems.

Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system

Model-based data analysis of the effect of winter mixing on primary production in a lake under reoligotrophication

Boreal Headwater Catchment as Hot Spot of Carbon Processing From Headwater to Fjord

Journal of Geophysical Research: Biogeosciences

Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)

Zenodo (CERN European Organization for Nuclear Research)

FABM-NflexPD 1.0: Assessing an Instantaneous Acclimation
Approach for Modelling Phytoplankton Growth


Matlab Circular Statistics Toolbox

Dynamic control of hippocampal spatial coding resolution by local visual cues

Human interictal epileptiform discharges are bidirectional traveling waves echoing ictal discharges

Disrupting cortico-cerebellar communication impairs dexterity

V1 interneurons regulate the pattern and frequency of locomotor-like activity in the neonatal mouse spinal cord

Mediofrontal theta‐band oscillations reflect top‐down influence in the ventriloquist illusion

Transitions of motor neuron activities during Ciona development

Frontiers in cell and developmental biology


A multilingual lexicon of words to hurt.

StarCoder 2 and The Stack v2: The Next Generation

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection Using Meta Learning

FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection

Workshop on Trolling, Aggression and Cyberbullying

Cross-lingual hate speech detection based on multilingual domain-specific word embeddings

A Neighborhood Framework for Resource-Lean Content Flagging

Transactions of the Association for Computational Linguistics

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

Multi-word Expressions for Abusive Speech Detection in Serbian

minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices

International Conference on Data Science and Advanced Analytics

StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors


General tools for genomic analyses.

Recombination rate variation shapes barriers to introgression across butterfly genomes

Widespread selection and gene flow shape the genomic landscape during a radiation of monkeyflowers

Pig genome functional annotation enhances the biological interpretation of complex traits and human disease

No evidence for maintenance of a sympatric Heliconius species barrier by chromosomal inversions

Adaptive Introgression across Semipermeable Species Boundaries between Local Helicoverpa zea and Invasive Helicoverpa armigera Moths

Don't throw out the sympatric speciation with the crater lake water: fine-scale investigation of introgression provides equivocal support for causal role of secondary gene flow in one of the clearest examples of sympatric speciation

Whole-chromosome hitchhiking driven by a male-killing endosymbiont

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Behavior-dependent cis regulation reveals genes and pathways associated with bower building in cichlid fishes

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

Chromosome Fusion Affects Genetic Diversity and Evolutionary Turnover of Functional Loci but Consistently Depends on Chromosome Size


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

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

Addressing Function Approximation Error in Actor-Critic Methods

Memory-based control with recurrent neural networks


Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

Graph Attention Networks

Neural Message Passing for Quantum Chemistry

How Powerful are Graph Neural Networks?

Principal Neighbourhood Aggregation for Graph Nets

Predicting cognitive scores with graph neural networks through sample selection learning

State of the Art and Potentialities of Graph-level Learning

Graph Sparsification via Mixture of Graphs


Synchrotron Radiation Workshop

WavePropaGator: interactive framework for X-ray free-electron laser optics design and simulations

Sirepo: an open-source cloud-based software interface for X-ray source and optics simulations

Modelling phase imperfections in compound refractive lenses

A fast and lightweight tool for partially coherent beamline simulations in fourth-generation storage rings based on coherent mode decomposition

Recent developments in X-ray lens modelling with SRW

Advances in Computational Methods for X-Ray Optics V

Propagation of partially coherent radiation using Wigner functions


Build neural networks for machine learning force fields with JAX

So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

Stress and heat flux via automatic differentiation


The Implementation of FastSpeech based on pytorch.

Attention Is All You Need

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech


Tools for early stage alignment file processing

Alignment of 1000 Genomes Project reads to reference assembly GRCh38

Population-level distribution and putative immunogenicity of cancer neoepitopes

A genetic modifier of venous thrombosis in zebrafish reveals a functional role for fibrinogen AαE in early hemostasis

Mutational topography reflects clinical neuroblastoma heterogeneity


Same species annotation lift over pipeline.

Updated annotation of the wild strawberry Fragaria vesca V4 genome

First Draft Assembly and Annotation of the Genome of a California Endemic Oak Quercus lobata Nee (Fagaceae)

Chromosome-scale scaffolding of the black raspberry (Rubus occidentalis L.) genome based on chromatin interaction data

A Single SNP Turns a Social Honey Bee (Apis mellifera) Worker into a Selfish Parasite

Benchmark study comparing liftover tools for genome conversion of epigenome sequencing data

Genome Improvement and Genetic Map Construction for Aethionema arabicum, the First Divergent Branch in the Brassicaceae Family

Building a foundation for gene family analysis in Rosaceae genomes with a novel workflow: A case study in Pyrus architecture genes

De Novo Genome Assembly of a Plasmodium falciparum NF54 Clone Using Single-Molecule Real-Time Sequencing

PRE-1 Revealed Previous Unknown Introgression Events in Eurasian Boars during the Middle Pleistocene

A Chromosome-Length Reference Genome for the Endangered Pacific Pocket Mouse Reveals Recent Inbreeding in a Historically Large Population


A bridge betwwen the ROS ecosystem and AI Habitat.

Habitat: A Platform for Embodied AI Research

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI


PyTorch Implementation of DeepVO

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

International Conference on Robotics and Automation

LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method

The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation

MDN-VO: Estimating Visual Odometry with Confidence

IEEE/RJS International Conference on Intelligent RObots and Systems

Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation

International Conference on Intelligent Transportation Systems

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


ACL 2022: Sequence-to-Sequence Knowledge Graph Completion and Question Answering (KGT5)

Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction


Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes

GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes

Manifold Topology Divergence: a Framework for Comparing Data Manifolds

Topological data analysis of black hole images

Topological Data Analysis in Cardiovascular Signals: An Overview


SEER, reimplemented in python

pyseer: a comprehensive tool for microbial pangenome-wide association studies

Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives


2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Video Polyp Segmentation: A Deep Learning Perspective


A curated paper list on neural symbolic and probabilistic logic.

Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures

Journal of Artificial Intelligence Research

Neuro-symbolic approaches in artificial intelligence

Deep Relational Machines

Incorporating symbolic domain knowledge into graph neural networks

Large-Scale Assessment of Deep Relational Machines


MIT Language Modeling Toolkit

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary

ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German

Workshop on NLP for Similar Languages, Varieties and Dialects

An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation

IEEE International Conference on Software Analysis, Evolution, and Reengineering

NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021

Does Code Review Promote Conformance? A Study of OpenStack Patches

Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages

Helion: Enabling a Natural Perspective of Home Automation


From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

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

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

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

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Robust Shape Fitting for 3D Scene Abstraction

Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems


Code for experiments on OpenBookQA from the EMNLP 2018 paper  "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

Explanations from Large Language Models Make Small Reasoners Better

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches

Repurposing Entailment for Multi-Hop Question Answering Tasks

DataComp-LM: In search of the next generation of training sets for
  language models


multi-dimensional adaptive integration (cubature) in C

Magnon-phonon interactions in magnetic insulators

DYTurbo: fast predictions for Drell–Yan processes

Next-to-next-to-leading-order radiative corrections to e+e− → χcJ + γ at B factory

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo

Monthly Notices of the Royal Astronomical Society

The integrated three-point correlation function of cosmic shear

Updates in SASfit for fitting analytical expressions and numerical models to small-angle scattering patterns

Statistical mechanical analysis of the electromechanical coupling in an electrically-responsive polymer chain

RASCALC: a jackknife approach to estimating single- and multitracer galaxy covariance matrices

A Fast and Exact w-stacking and w-projection Hybrid Algorithm for Wide-field Interferometric Imaging

Scale-fixed predictions for γ + ηc production in electron-positron collisions at NNLO in perturbative QCD


Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Diffusion Model Alignment Using Direct Preference Optimization

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with
  Auto-Generated Data


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

The tuatara genome reveals ancient features of amniote evolution

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Genome sequences of three Aegilops species of the section Sitopsis reveal phylogenetic relationships and provide resources for wheat improvement

The Plant journal : for cell and molecular biology

Genes of the Pig, Sus scrofa, reconstructed with EvidentialGene

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Deepening of In Silico Evaluation of SARS-CoV-2 Detection RT-qPCR Assays in the Context of New Variants

Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples

Taxonomic and carbon metabolic diversification of Bathyarchaeia during its coevolution history with early Earth surface environment

Whole-Genome Sequencing of Six Borrelia miyamotoi Clinical Strains Isolated in Russia


Attention Is All You Need

Character-level Convolutional Networks for Text Classification

Very Deep Convolutional Networks for Text Classification

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

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

Chronos: Learning the Language of Time Series


Attention-based sequence to sequence learning

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence Level Training with Recurrent Neural Networks

Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

End-to-End Automatic Speech Translation of Audiobooks

Unsupervised Word Segmentation from Speech with Attention

Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models

Syntax-Aware Data Augmentation for Neural Machine Translation

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018


Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

A Simple Language Model for Task-Oriented Dialogue

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Efficient Dialogue State Tracking by Selectively Overwriting Memory

KLUE: Korean Language Understanding Evaluation

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

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

Controllable Dialogue Simulation with In-Context Learning

Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Attention Guided Dialogue State Tracking with Sparse Supervision


Official Implementation of StyleTTS

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis


A powerful toolset for genome arithmetic.

Recurrent somatic mutations in POLR2A define a distinct subset of meningiomas

APOBEC3A cytidine deaminase induces RNA editing in monocytes and macrophages

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Revealing stage-specific expression patterns of long noncoding RNAs along mouse spermatogenesis

Androgen-Binding Protein (Abp) Evolutionary History: Has Positive Selection Caused Fixation of Different Paralogs in Different Taxa of the Genus Mus?

MeCP2-Induced Alternations of Transcript Levels and m6A Methylation in Human Retinal Pigment Epithelium Cells

Manipulation of TAD reorganization by chemical-dependent genome linking


State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

High-Fidelity Audio Compression with Improved RVQGAN

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

Natural language guidance of high-fidelity text-to-speech with synthetic
  annotations

DASB -- Discrete Audio and Speech Benchmark

Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model


This repo contains the PyTorch implementation of the SNAS-Series papers

SNAS: Stochastic Neural Architecture Search

DSNAS: Direct Neural Architecture Search without Parameter Retraining

Understanding the wiring evolution in differentiable neural architecture search


A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma

Single-cell transcriptome analysis reveals the clinical implications of myeloid-derived suppressor cells in head and neck squamous cell carcinoma


Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


Audio super resolution using neural networks

Audio Super Resolution using Neural Networks

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations

WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution

Enabling Real-Time On-Chip Audio Super Resolution for Bone-Conduction Microphones

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement


Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Generalizing Word Embeddings using Bag of Subwords

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Subword-based Compact Reconstruction of Word Embeddings

North American Chapter of the Association for Computational Linguistics


:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

Learning and Evaluating Chinese Idiom Embeddings

Recent Advances in Natural Language Processing

MT-PATCHER: Selective and Extendable Knowledge Distillation from Large
  Language Models for Machine Translation

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles


Creating quantum circuit diagrams in TikZ

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Quantum error correction: an introductory guide

Factoring with qutrits: Shor's algorithm on ternary and metaplectic quantum architectures

Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability

Protecting quantum memories using coherent parity check codes

Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction

Logic Synthesis for Quantum Computing

Quantum-accelerated constraint programming

Performance of Particle Tracking Using a Quantum Graph Neural Network

Simulating Majorana zero modes on a noisy quantum processor


Deep Hough Voting for 3D Object Detection in Point Clouds

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Rotationally Equivariant 3D Object Detection

Investigating Attention Mechanism in 3D Point Cloud Object Detection

Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations


Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Direct Optimization through max for Discrete Variational Auto-Encoder

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables

GO Gradient for Expectation-Based Objectives


A Python sandbox for decision making in dynamics

Delayed Impact of Fair Machine Learning

Strategic Classification

Performative Prediction


[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

A Neural Rendering Framework for Free-Viewpoint Relighting

FWD: Real-time Novel View Synthesis with Forward Warping and Depth


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

Improving Chinese Word Segmentation with Wordhood Memory Networks

Meeting of the Association for Computational Linguistics

ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Span Labeling Approach for Vietnamese and Chinese Word Segmentation


Get Deinked!!

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

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

Enhanced Deep Residual Networks for Single Image Super-Resolution

Self-Attention Generative Adversarial Networks


Multi30k Dataset

Multi30K: Multilingual English-German Image Descriptions

Unifying Vision-and-Language Tasks via Text Generation

Findings of the Third Shared Task on Multimodal Machine Translation

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

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

Neural machine translation: Challenges, progress and future

Neural Machine Translation with Phrase-Level Universal Visual Representations

VALHALLA: Visual Hallucination for Machine Translation

Simultaneous Machine Translation with Visual Context

Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models

Lessons learned in multilingual grounded language learning


Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture

A Comprehensive Study of Vision Transformers on Dense Prediction Tasks

StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures

Neural Comic Style Transfer: Case Study

Two-stream FCNs to balance content and style for style transfer


[ICML'24] Magicoder: Empowering Code Generation with OSS-Instruct

StarCoder: may the source be with you!

Instruction Tuning for Large Language Models: A Survey

Magicoder: Source Code Is All You Need

A Survey on Large Language Models for Software Engineering

CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language
  Models to Coding Preferences


Cell types enrichment analysis

xCell: digitally portraying the tissue cellular heterogeneity landscape

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Inflammation status modulates the effect of host genetic variation on intestinal gene expression in inflammatory bowel disease

Transcriptome signatures from discordant sibling pairs reveal changes in peripheral blood immune cell composition in Autism Spectrum Disorder

High immune cytolytic activity in tumor‐free tongue tissue confers better prognosis in patients with squamous cell carcinoma of the oral tongue

The journal of pathology. Clinical research

Distinct CSF biomarker-associated DNA methylation in Alzheimer’s disease and cognitively normal subjects

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

Comprehensive evaluation of computational cell-type quantification methods for immuno-oncology

Immune status changing helps diagnose osteoarticular tuberculosis

Expression, oncological and immunological characterizations of BZW1/2 in pancreatic adenocarcinoma


Make continuous reforestation part of your daily workflow :deciduous_tree:


SECOND for KITTI/NuScenes object detection

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

SECOND: Sparsely Embedded Convolutional Detection

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

What You See is What You Get: Exploiting Visibility for 3D Object Detection

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI


Deep Modular Co-Attention Networks for Visual Question Answering

In Defense of Grid Features for Visual Question Answering

An Improved Attention for Visual Question Answering

Sparse and Continuous Attention Mechanisms

SimVQA: Exploring Simulated Environments for Visual Question Answering

Multimodal Continuous Visual Attention Mechanisms

Sparse Continuous Distributions and Fenchel-Young Losses

Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA

Workshop on Representation Learning for NLP

Siamese Tracking with Lingual Object Constraints

Deep Equilibrium Multimodal Fusion


C++/CUDA toolkit for training sequence and sequence-to-sequence models across multiple GPUs

Sequence to Sequence Learning with Neural Networks

Recurrent Neural Network Regularization

Transfer Learning for Low-Resource Neural Machine Translation

Multi-Source Neural Translation

Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies

Addressing Troublesome Words in Neural Machine Translation

Empirical Methods in Natural Language Processing


PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A Survey of Deep Learning for Scientific Discovery

Self-training for Few-shot Transfer Across Extreme Task Differences

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition

Joint Embedding Predictive Architectures Focus on Slow Features

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

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning


[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers

TerDiT: Ternary Diffusion Models with Transformers


Gaussian Processes for Experimental Sciences

Deep Kernel Learning

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

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

Physics-driven discovery and bandgap engineering of hybrid perovskites

Deep Kernel Methods Learn Better: From Cards to Process Optimization

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

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries

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

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


Extension of the original word2vec using different architectures

Two/Too Simple Adaptations of Word2Vec for Syntax Problems

Evaluation of Word Vector Representations by Subspace Alignment

State-of-the-art Chinese Word Segmentation with Bi-LSTMs

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning

Unsupervised POS Induction with Word Embeddings

Exploring Segment Representations for Neural Segmentation Models

Intrinsic Subspace Evaluation of Word Embedding Representations

Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Putting RDF2vec in Order

Automated Detection of Non-Relevant Posts on the Russian Imageboard "2ch": Importance of the Choice of Word Representations


Learning to Parse Wireframes in Images of Man-Made Environments

Learning Attraction Field Representation for Robust Line Segment Detection

TP-LSD: Tri-Points Based Line Segment Detector

Learning Regional Attraction for Line Segment Detection

IEEE transactions on pattern analysis and machine intelligence

Wide-Angle Image Rectification: A Survey

Wireframe Parsing With Guidance of Distance Map

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

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection


Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

MuGER^2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

MetaQA: Combining Expert Agents for Multi-Skill Question Answering


Code for reproducing Manifold Mixup results (ICML 2019)

Manifold Mixup: Better Representations by Interpolating Hidden States

Manifold Mixup: Learning Better Representations by Interpolating Hidden States

k-Mixup Regularization for Deep Learning via Optimal Transport


Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Rethinking Range View Representation for LiDAR Segmentation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Dynamically pruning segformer for efficient semantic segmentation

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Single-View Measurement Method for Egg Size Based on Small-Batch Images


Open Source Carpooling Platform


This dataset contains 207,572 books from the Amazon.com, Inc. marketplace.

Graph Learning based Recommender Systems: A Review

Judging a Book By its Cover

Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements

How do Convolutional Neural Networks Learn Design?

Effect of Text Color on Word Embeddings

Font Style that Fits an Image -- Font Generation Based on Image Context

Towards Book Cover Design via Layout Graphs


Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

Modeling Relational Data with Graph Convolutional Networks

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Commonsense Knowledge in Word Associations and ConceptNet


Simulation environment for collision avoidance

Socially Aware Motion Planning with Deep Reinforcement Learning

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning


The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

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

Task-Robust Model-Agnostic Meta-Learning

Regularizing Meta-Learning via Gradient Dropout

A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm


Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

Semi-Supervised Learning with Ladder Networks

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition

An analysis of over-sampling labeled data in semi-supervised learning with FixMatch

Proceedings of the Northern Lights Deep Learning Workshop


This  is a  Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

Deep Learning on FPGAs: Past, Present, and Future

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems

Development of JavaScript-based deep learning platform and application to distributed training