This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for
  Indic Languages

BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding


[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

Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks.

IEEE transactions on pattern analysis and machine intelligence

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network


Fully Convolutional DenseNets for semantic segmentation.

Densely Connected Convolutional Networks

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images

EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation


Library to implement graph neural networks in PyTorch

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

Graphon Neural Networks and the Transferability of Graph Neural Networks

EdgeNets:Edge Varying Graph Neural Networks

Deep Representations for Time-varying Brain Datasets

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


Project page for End-to-end Recovery of Human Shape and Pose

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective


An alternative to convolution in neural networks

Escaping the Big Data Paradigm with Compact Transformers

Patches Are All You Need?

Exploring the Sharpened Cosine Similarity

SCS-Net: An efficient and practical approach towards Face Mask Detection


[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

RELLIS-3D Dataset: Data, Benchmarks and Analysis

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation


Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

An Optimistic Perspective on Offline Reinforcement Learning

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations


A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Attention Is All You Need

End-to-End Neural Transformer Based Spoken Language Understanding

Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification


Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Stance Detection in Web and Social Media: A Comparative Study

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

STAN: Towards Describing Bytecodes of Smart Contract

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of network and computer applications

AUGER: Automatically Generating Review Comments with Pre-training Models

Exploiting statistical and structural features for the detection of Domain Generation Algorithms

Workshop on Information Security Applications

A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings

International Conference on Computational Linguistics

Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation

Impersonation on Social Media: A Deep Neural Approach to Identify Ingenuine Content


parallel fastq-dump wrapper

A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference

Salmonella Genomic Island 1 is Broadly Disseminated within Gammaproteobacteriaceae

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

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

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

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

Quantifying and Cataloguing Unknown Sequences within Human Microbiomes

BarleyExpDB: an integrative gene expression database for barley

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

Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors


Repo about neural networks for images handling

Densely Connected Convolutional Networks

Knowledge Distillation with Feature Maps for Image Classification

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


UCCA Documentation

Refining Implicit Argument Annotation for UCCA

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

UCCA's Foundational Layer: Annotation Guidelines v2.1


Contributed procedures for use with Modules for Experiments in Stellar Astrophysics (MESA)

Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

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

Carbon-Oxygen Phase Separation in MESA White Dwarf Models

Rejuvenated Accretors Have Less Bound Envelopes: Impact of Roche Lobe Overflow on Subsequent Common Envelope Events


In the context of Deep Learning: What is the right way to conduct example weighting?  How do you understand loss functions and so-called theorems on them?

Normalized Loss Functions for Deep Learning with Noisy Labels

IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters

Derivative Manipulation for General Example Weighting


INET with various PON and WLAN mesh protocols

A research framework for the clean-slate design of next-generation optical access

International Conference on Ultra Modern Telecommunications

The effect of ISP traffic shaping on user-perceived performances in broadband access networks

Clean-slate design of next-generation optical access

International Conference on Transparent Optical Networks


A generalised, dynamic DNA reference library for metabarcoding of fishes

Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding

MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species

ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis

Surveillance of fish species composition using environmental DNA

DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers

DNA metabarcoding for diet analysis and biodiversity: A case study using the endangered Australian sea lion (Neophoca cinerea)

Meta-Fish-Lib: A generalised, dynamic DNA reference library pipeline for metabarcoding of fishes.


The Chargy E-Mobility Transparency Application for Windows, Mac OS X and Linux (based on Electron)


Cross-Linguistic Norms, Ratings, and Relations for Words and Concepts

Linking norms, ratings, and relations of words and concepts across multiple language varieties

General patterns and language variation: Word frequencies across English, German, and Chinese

Workshop on Cognitive Aspects of the Lexicon

Curating and extending data for language comparison in Concepticon and NoRaRe


Code for localizing variable star signatures in TESS Photometry

Hot subdwarfs in close binaries observed from space

Localizing Sources of Variability in Crowded TESS Photometry

Searching for TESS Photometric Variability of Possible JWST Spectrophotometric Standard Stars

Contamination in TESS Light Curves: The Case of the Fast Yellow Pulsating Supergiants

Kepler and TESS Observations of PG 1159-035

The bright blue side of the night sky: Spectroscopic survey of bright and hot (pre-) white dwarfs


Steering drones with body gestures (based on PoseNet)

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling

Learning Deep and Compact Models for Gesture Recognition


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

Precise numerical estimation of the magnetic field generated around recombination

Cosmological gravity probes: Connecting recent theoretical developments to forthcoming observations

The intrinsic bispectrum of the Cosmic Microwave Background [PhD thesis]

Magnetogenesis from isocurvature initial conditions

Journal of cosmology and astroparticle physics


Standard Nomenclature for PV Systems


Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration.  Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

SwinIR: Image Restoration Using Swin Transformer

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results


K2 systematics correction using Gaussian processes

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

Monthly Notices of the Royal Astronomical Society

Characterizing K2 Candidate Planetary Systems Orbiting Low-mass Stars. II. Planetary Systems Observed During Campaigns 1–7

Transiting exoplanet candidates from K2 Campaigns 5 and 6

Flares in open clusters with K2

Beyond the Kepler/K2 bright limit: Variability in the seven brightest members of the Pleiades

A Universal Spin-Mass Relation for Brown Dwarfs and Planets

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c


Python interface to RADEX

Temperature, Mass, and Turbulence: A Spatially Resolved Multiband Non-LTE Analysis of CS in TW Hya

Sensing Properties of Fiber Grating Temperature Sensor Package Preload

Warm and cold molecular gas conditions modelled in 87 galaxies observed by the Herschel SPIRE Fourier transform spectrometer

Recovering the Physical Properties of Molecular Gas in Galaxies from CO SLED Modeling

Dense Molecular Gas Properties of the Central Kiloparsec of Nearby Ultraluminous Infrared Galaxies Constrained by ALMA Three Transition-line Observations

Massive Molecular Gas Reservoir in a Luminous Submillimeter Galaxy during Cosmic Noon

Cold Deuterium Fractionation in the Nearest Planet-forming Disk

SUNRISE: The rich molecular inventory of high-redshift dusty galaxies revealed by broadband spectral line surveys


Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

Two temperate super-Earths transiting a nearby late-type M dwarf

TOI-1759 b: A transiting sub-Neptune around a low mass star characterized with SPIRou and TESS

TOI-1696: A Nearby M4 Dwarf with a 3 R ⊕ Planet in the Neptunian Desert

A systematic validation of hot Neptunes in TESS data

: A Tool for Rapid Validation of TESS Objects of Interest and Application to 424 Planet Candidates

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry

TESS discovery of a super-Earth orbiting the M-dwarf star TOI-1680

A sub-Neptune transiting the young field star HD 18599 at 40 pc


a collection of remote climate data accessed via intake cached to disk


Calculates the Variant Allele Fraction of variants in VCF files

Prediction of acute myeloid leukaemia risk in healthy individuals

Genomic Evolution of Breast Cancer Metastasis and Relapse

Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

Somatic mutation rates scale with lifespan across mammals

Clonal dynamics of haematopoiesis across the human lifespan

The longitudinal dynamics and natural history of clonal haematopoiesis

Life histories of myeloproliferative neoplasms inferred from phylogenies

Targeting MEK in vemurafenib-resistant hairy cell leukemia

In utero origin of myelofibrosis presenting in adult monozygotic twins

Lineage tracing of human embryonic development and foetal haematopoiesis through somatic mutations


Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?


Assign genotypes to Salmonella Typhi genomes based on VCF files (mapped to Typhi CT18 reference genome)

Emergence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Clone Harboring a Promiscuous Plasmid Encoding Resistance to Fluoroquinolones and Third-Generation Cephalosporins

An extended genotyping framework for Salmonella enterica serovar Typhi, the cause of human typhoid

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy

Tracking the Emergence of Azithromycin Resistance in Multiple Genotypes of Typhoidal Salmonella

Spontaneous Emergence of Azithromycin Resistance in Independent Lineages of Salmonella Typhi in Northern India

A Race against Time: Reduced Azithromycin Susceptibility in Salmonella enterica Serovar Typhi in Pakistan

Five Years of GenoTyphi: Updates to the Global Salmonella Typhi Genotyping Framework

The journal of infectious diseases (Online. University of Chicago Press)/The Journal of infectious diseases

Whole Genome Sequence Analysis of Salmonella Typhi Isolated in Thailand before and after the Introduction of a National Immunization Program

Salmonella Typhi acquires diverse plasmids from other Enterobacteriaceae to develop cephalosporin resistance

Genomic Epidemiology and Antimicrobial Resistance Mechanisms of Imported Typhoid in Australia


a python interface to JPL HORIZONS ephemerides and orbital elements

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry

Characterization of Near-Earth Asteroids Using KMTNET-SAAO

Taxonomy and Light-curve Data of 1000 Serendipitously Observed Main-belt Asteroids

Space Weathering within C-complex Main Belt Asteroid Families


Python implementation of the Global Sky Model (GSM) for the radio sky between 10 MHz - 5 THz

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Measuring the global 21-cm signal with the MWA-I: improved measurements of the Galactic synchrotron background using lunar occultation

Monthly notices of the Royal Astronomical Society

Characterization of the SKA1-Low prototype station Aperture Array Verification System 2

Detecting the power spectrum turnover with H i intensity mapping

Quantifying EoR delay spectrum contamination from diffuse radio emission

A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping

All Sky Modelling Requirements for Bayesian 21 cm Power Spectrum
  Estimation with BayesEoR

A Clustered Extragalactic Foreground Model for the EoR

Proceedings of the International Astronomical Union

Simulation-based Inference of Reionization Parameters from 3D
  Tomographic 21 cm Light-cone Images -- II: Application of Solid Harmonic
  Wavelet Scattering Transform


Multi-step Off-policy Learning Without Importance Sampling Ratios

Investigating practical linear temporal difference learning

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity

Performance and Potential of Machine Learning Audiometry

An Empirical Comparison of Off-policy Prediction Learning Algorithms on
  the Collision Task


Deep learning for deforestation classification and forecasting in satellite imagery


A whole-genome and alignment-free prokaryotic phylogeny tool

CVTree: A Parallel Alignment-free Phylogeny and Taxonomy Tool Based on Composition Vectors of Genomes

基因组蛋白质组与生物信息学报

PanDelos: a dictionary-based method for pan-genome content discovery

CAM: An alignment-free method to recover phylogenies using codon aversion motifs


A custom Monte Carlo sampler for the (gravitational) two-body problem

Close Binary Companions to APOGEE DR16 Stars: 20,000 Binary-star Systems Across the Color-Magnitude Diagram

The MAVERIC Survey: A Red Straggler Binary with an Invisible Companion in the Galactic Globular Cluster M10

The nearest neutron star candidate in a binary revealed by optical time-domain surveys

A White Dwarf–Main-sequence Binary Unveiled by Time-domain Observations from LAMOST and TESS


Code for "One-Shot Visual Imitation Learning via Meta-Learning"

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Learning Eye-in-Hand Camera Calibration from a Single Image


Multichannel time series lossless compression in pure Python based on NumPy and zlib

Data architecture and visualization for a large-scale neuroscience collaboration

A modular architecture for organizing, processing and sharing neurophysiology data

Compression strategies for large-scale electrophysiology data


Python package for performing Entity and Text Matching using Deep Learning.

Deep Learning for Entity Matching: A Design Space Exploration

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

Holistic Evaluation of Language Models

RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation

Supervised Contrastive Learning for Product Matching

Alaska: A Flexible Benchmark for Data Integration Tasks

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

Cost-effective Variational Active Entity Resolution

Active Deep Learning on Entity Resolution by Risk Sampling

LEMON: Explainable Entity Matching

Effective Explanations for Entity Resolution Models


Simple Python package for fast DER computation

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem

EEND-M2F: Masked-attention mask transformers for speaker diarization


harmonization, liftover, and imputation of summary statistics from GWAS

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genetically regulated gene expression underlies lipid traits in Hispanic cohorts

Population-Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance


Code for the CRAC 2021 paper "On Generalization in Coreference Resolution" (Best short paper award)

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks

DORE: Document Ordered Relation Extraction based on Generative Framework


A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

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


Approximately balanced estimation of average treatment effects in high dimensions.

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

A Survey on Causal Inference

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


Content Planning for Neural Story Generation with Aristotelian Rescoring

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Guiding Neural Story Generation with Reader Models


PoSeiDon: positive selection detection and recombination analysis pipeline

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Evolution and Antiviral Specificities of Interferon-Induced Mx Proteins of Bats against Ebola, Influenza, and Other RNA Viruses

PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection

Determining international spread of novel B.1.1.523 SARS-CoV-2 lineage

Determining the International Spread of B.1.1.523 SARS-CoV-2 Lineage with a Set of Mutations Highly Associated with Reduced Immune Neutralization


Empirical wave runup models implemented in Python


Automatic Dialect Detection Repository

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Automatic Dialect Detection in Arabic Broadcast Speech

Speech Recognition Challenge in the Wild: Arabic MGB-3

MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre
  Broadcast Challenge

Dialect classification using acoustic and linguistic features in Arabic speech

IAES International Journal of Artificial Intelligence (IJ-AI)

Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech


MatchMiner:  An open source computational platform for matching genomic profiles to precision cancer medicine clinical trials

MatchMiner: an open-source platform for cancer precision medicine

Abstract 3382: MatchMiner: An open-source computational platform for genomically-driven matching of cancer patients to precision medicine clinical trials

Abstract A024: MatchMiner: An open-source computational platform for genomically-driven matching of cancer patients to precision medicine clinical trials


goben is a golang tool to measure TCP/UDP transport layer throughput between hosts.

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

Artificial Intelligence Control Logic in Next-Generation Programmable Networks


Software to compute reproducibility and quality scores for Hi-C data

Measuring the reproducibility and quality of Hi-C data

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

Context-dependent perturbations in chromatin folding and the transcriptome by cohesin and related factors


Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.

Entropy-Based Logic Explanations of Neural Networks

Logic Explained Networks

PyTorch, Explain! A Python library for Logic Explained Networks

Extending Logic Explained Networks to Text Classification


Prepare Sailfish and Salmon output for downstream analysis

Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and Differentiation

Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq

TET2 as a tumor suppressor and therapeutic target in T-cell acute lymphoblastic leukemia

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

Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR

Differential regulation of cranial and cardiac neural crest by serum response factor and its cofactors


Repository for the R-package lmerTest

A brief introduction to mixed effects modelling and multi-model inference in ecology

Root and shoot variation in relation to potential intermittent drought adaptation of Mesoamerican wild common bean (Phaseolus vulgaris L.)

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Biopore-Induced Deep Root Traits of Two Winter Crops

Elucidating the Local Transmission Dynamics of Highly Pathogenic Avian Influenza H5N6 in the Republic of Korea by Integrating Phylogenetic Information

Urbanization mediates the effects of water quality and climate on a model aerial insectivorous bird

Rice Bran Makes a Healthy and Tasty Traditional Indonesian Goat Meatball, ‘Bakso’

The Role of Surface and Underlying Forms When Processing Tonal Alternations in Mandarin Chinese: A Mismatch Negativity Study

Segmental and suprasegmental encoding of speaker confidence in Wuxi dialect vowels


PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

A ConvNet for the 2020s

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

Selective Kernel Networks

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

Class-Balanced Loss Based on Effective Number of Samples

On the Variance of the Adaptive Learning Rate and Beyond

RepVGG: Making VGG-style ConvNets Great Again

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes


This repository is the official implementation of Improving Object-centric Learning With Query Optimization

Improving Object-centric Learning with Query Optimization


A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

A survey of challenges for runtime verification from advanced application domains (beyond software)

Two-Layered Falsification of Hybrid Systems Guided by Monte Carlo Tree Search

Multi-Armed Bandits for Boolean Connectives in Hybrid System
  Falsification (Extended Version)

Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input

Algebraic Quantitative Semantics for Efficient Online Temporal Monitoring

Tools and Algorithms for Construction and Analysis of Systems

Constrained Optimization for Hybrid System Falsification and Application to Conjunctive Synthesis

Ensuring Reliable Robot Task Performance through Probabilistic
  Rare-Event Verification and Synthesis


Remote Sensing Tools for Forest Monitoring

Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach


Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Neural Paraphrase Generation with Stacked Residual LSTM Networks

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue

Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Retrieval-based Goal-Oriented Dialogue Generation


A tool written in go to help you factor carbon intensity into decisions about where and when to run computing jobs.


Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Localization of Fake News Detection via Multitask Transfer Learning

Establishing Baselines for Text Classification in Low-Resource Languages

Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets

Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language.


[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

Medical Image Computing and Computer-Assisted Intervention

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical
  Centerline Extraction

Skeleton Graph-based Ultrasound-CT Non-rigid Registration

Thoracic Cartilage Ultrasound-CT Registration Using Dense Skeleton Graph


3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams

Deep learning - promises for 3D nuclear imaging: a guide for biologists

ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection


Research code for pixel-based encoders of language (PIXEL)

Masked Autoencoders Are Scalable Vision Learners

Language Modelling with Pixels

Text Rendering Strategies for Pixel Language Models

PHD: Pixel-Based Language Modeling of Historical Documents


3.41% and 17.11% error on CIFAR-10 and CIFAR-100

A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data

IEEE transactions on parallel and distributed systems

A unified benchmark for the unknown detection capability of deep neural networks


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

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


A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Scenic: A Language for Scenario Specification and Scene Generation

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception

Scenic: A Language for Scenario Specification and Data Generation

Learning to Map Vehicles into Bird's Eye View

Paracosm: A Language and Tool for Testing Autonomous Driving Systems

Gradient-free Policy Architecture Search and Adaptation

Imitation Learning for End to End Vehicle Longitudinal Control with
  Forward Camera


STM32 Energy Monitoring


A multilingual lexicon of words to hurt.

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

Multi-word Expressions for Abusive Speech Detection in Serbian

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

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

A Neighborhood Framework for Resource-Lean Content Flagging

Transactions of the Association for Computational Linguistics

StarCoder 2 and The Stack v2: The Next Generation

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

International Conference on Data Science and Advanced Analytics

Taboo Wordnet


State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

Adaptive Trajectory Prediction via Transferable GNN

Social Interpretable Tree for Pedestrian Trajectory Prediction

Predicting Physical World Destinations for Commands Given to Self-Driving Cars


Repository for Frequency Word List Generator and processed files

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora

SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment

International Workshop on Semantic Evaluation

Expectations over Unspoken Alternatives Predict Pragmatic Inferences

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

Exploring Probabilistic Soft Logic as a framework for integrating
  top-down and bottom-up processing of language in a task context

Analyze the Usage of Legal Definitions in Indonesian Regulation Using Text Mining Case Study: Treasury and Budget Law

International Conference on Legal Knowledge and Information Systems

An automated approach to mitigate transcription errors in braille texts for the Portuguese language

Enhancing Pre-trained Language Model with Lexical Simplification


FEELnc : FlExible Extraction of LncRNA

FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome

Oak genome reveals facets of long lifespan

FEELnc: A tool for Long non-coding RNAs annotation and its application to the dog transcriptome

Whole-Transcriptome Analysis of Non-Coding RNA Alteration in Porcine Alveolar Macrophage Exposed to Aflatoxin B1

LncRNAs Are Differentially Expressed between Wildtype and Cell Line Strains of African Trypanosomes

Exploring the landscape of tools and resources for the analysis of long non-coding RNAs

Computational and structural biotechnology journal

Co-expression analysis of lncRNA and mRNA identifies potential adipogenesis regulatory non-coding RNAs involved in the transgenerational effects of tributyltin


R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)

Maftools: efficient and comprehensive analysis of somatic variants in cancer

A pan-cancer analysis of the clinical and genetic portraits of somatostatin receptor expressing tumor as a potential target of peptide receptor imaging and therapy

Effects of psoriasis and psoralen exposure on the somatic mutation landscape of the skin

Mutant p53 gains oncogenic functions through a chromosomal instability-induced cytosolic DNA response


A fast, efficient universal vector embedding utility package.

Enriching Word Vectors with Subword Information

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

Message Passing for Complex Question Answering over Knowledge Graphs

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

Identifying Offensive Posts and Targeted Offense from Twitter

Knowledge-based Conversational Search

Multimodal Dialogue State Tracking By QA Approach with Data Augmentation


Standardized data set for machine learning of protein structure

ProteinNet: a standardized data set for machine learning of protein structure

Uncovering new families and folds in the natural protein universe

SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning


runs several layers of a deep learning model in TrustZone

Important Information for Micro-Generators - Utility Regulator

International Conference on Mobile Systems, Applications, and Services

Towards Characterizing and Limiting Information Exposure in DNN Layers


[HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design

Training data-efficient image transformers & distillation through attention

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


An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).


R package for detecting doublets in single-cell RNA sequencing data

Single cell transcriptional signatures of the human placenta in term and preterm parturition

Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

Single-cell RNA sequencing reveals time- and sex-specific responses of mouse spinal cord microglia to peripheral nerve injury and links ApoE to chronic pain

Cardiac cell type–specific gene regulatory programs and disease risk association

HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

Resolving the graft ischemia-reperfusion injury during liver transplantation at the single cell resolution

Regionally distinct trophoblast regulate barrier function and invasion in the human placenta

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Sex differences in coronary artery disease and diabetes revealed by scRNA-Seq and CITE-Seq of human CD4+ T cells

A novel molecular classification method for osteosarcoma based on tumor cell differentiation trajectories


Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

Generate rather than Retrieve: Large Language Models are Strong Context
  Generators

Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis


Inference of couplings in proteins and RNAs from sequence variation

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

3D RNA and functional interactions from evolutionary couplings

Antiparallel protocadherin homodimers use distinct affinity- and specificity-mediating regions in cadherin repeats 1-4

Molecular evolution of HIV-1 integrase during the 20 years prior to the first approval of integrase inhibitors

Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling


Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs

LLaMA: Open and Efficient Foundation Language Models

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language
  Models


Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

2017 Robotic Instrument Segmentation Challenge

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A Review on Deep Learning in Minimally Invasive Surgery

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Surgical tool classification and localization: results and methods from
  the MICCAI 2022 SurgToolLoc challenge

Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net


Spot the conversation: speaker diarisation in the wild

OVERLAP-AWARE LOW-LATENCY ONLINE SPEAKER DIARIZATION BASED ON END-TO-END LOCAL SEGMENTATION

Magnitude-aware Probabilistic Speaker Embeddings

North America Bixby Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021

DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors


MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

Text Recognition in the Wild: A Survey

Text Prior Guided Scene Text Image Super-Resolution

Revisiting Scene Text Recognition: A Data Perspective


an interactive viewer for populations of bacterial genomes linked by a phylogeny

Phandango: an interactive viewer for bacterial population genomics

Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Clinical and laboratory-induced colistin-resistance mechanisms in Acinetobacter baumannii

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Genomic Analysis of Carbapenemase-Producing Extensively Drug-Resistant Klebsiella pneumoniae Isolates Reveals the Horizontal Spread of p18-43_01 Plasmid Encoding blaNDM-1 in South Africa

Genomic Insights of Multidrug-Resistant Escherichia coli From Wastewater Sources and Their Association With Clinical Pathogens in South Africa

Isolation and identification of chlorate-reducing Hafnia sp. from milk


Spriteworld: a flexible, configurable python-based reinforcement learning environment

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Overview of Software Agent Platforms Available in 2023

An Investigation into Pre-Training Object-Centric Representations for
  Reinforcement Learning

Provably Learning Object-Centric Representations

Disentangled Cumulants Help Successor Representations Transfer to New Tasks

AlignNet: Unsupervised Entity Alignment

Embrace the Gap: VAEs Perform Independent Mechanism Analysis

Constellation: Learning relational abstractions over objects for compositional imagination

Causal Reinforcement Learning: A Survey


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


Tool to build force field input files for molecular simulation

Resolving dispersion and induction components for polarisable molecular simulations of ionic liquids

Martini Coarse-Grained Models of Imidazolium-Based Ionic Liquids: From Nanostructural Organization to Liquid-Liquid Extraction

Low-Temperature Phase Transitions of the Ionic Liquid 1-Ethyl-3-methylimidazolium Dicyanamide

Molecular Dynamics of Ionic Liquids from Fast-Field Cycling NMR and Molecular Dynamics Simulations

Ion pair free energy surface as a probe of ionic liquid structure

Charge Transport in Water–NaCl Electrolytes with Molecular Dynamics Simulations

Unravelling free volume in branched-cation ionic liquids based on silicon

Room temperature ionic liquids with two symmetric ions


OpenFOAM Foundation development repository

Basic verification of a numerical framework applied to a morphology adaptive multifield two‐fluid model considering bubble motions

International journal for numerical methods in fluids

Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs


AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

XPersona: Evaluating Multilingual Personalized Chatbot

DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Multi-Lingual Question Generation with Language Agnostic Language Model

Meeting of the Association for Computational Linguistics


Deformable GANs for Pose-based Human Image Generation

Appearance and Pose-Conditioned Human Image Generation Using Deformable GANs

A Shared Representation for Photorealistic Driving Simulators

IEEE transactions on intelligent transportation systems


Adaptive Attention Span for Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Stabilizing Transformers for Reinforcement Learning

Adaptive Attention Span in Transformers

Adaptive Transformers in RL


95.47% on CIFAR10 with PyTorch

mixup: Beyond Empirical Risk Minimization

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Deep Double Descent: Where Bigger Models and More Data Hurt

Learning Loss for Active Learning

Error Feedback Fixes SignSGD and other Gradient Compression Schemes

Data-Free Learning of Student Networks

Why gradient clipping accelerates training: A theoretical justification for adaptivity

CINIC-10 Is Not ImageNet or CIFAR-10

Forward and Backward Information Retention for Accurate Binary Neural Networks

Bag of Tricks for Adversarial Training


An experimental Solidity parser for Python built on top of a robust ANTLR4 grammar

An Empirical Study on Real Bug Fixes from Solidity Smart Contract
  Projects

Toward the Ontological Modeling of Smart Contracts: A Solidity Use Case

A study of inline assembly in solidity smart contracts

Proceedings of the ACM on programming languages

Vulnerable Smart Contract Function Locating Based on Multi-Relational
  Nested Graph Convolutional Network


Benchmark of federated learning. Dedicated to the community.

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Personalized Federated Learning: A Meta-Learning Approach

Adaptive Federated Optimization

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

Model-Contrastive Federated Learning

FedMD: Heterogenous Federated Learning via Model Distillation

Ditto: Fair and Robust Federated Learning Through Personalization

FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization

Federated Learning with Personalization Layers


Sequence-to-Sequence Framework in PyTorch

Probing the Need for Visual Context in Multimodal Machine Translation

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

The Prague Bulletin of Mathematical Linguistics

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos

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

Bringing back simplicity and lightliness into neural image captioning

On the Difficulty of Segmenting Words with Attention


SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation  Webpage:https://jiawangbian.github.io/sc_depth_pl/

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Unsupervised Scale-Consistent Depth Learning from Video

Auto-Rectify Network for Unsupervised Indoor Depth Estimation

SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes


A relation-aware semantic parsing model from English to SQL

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Structure-Grounded Pretraining for Text-to-SQL

North American Chapter of the Association for Computational Linguistics

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

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

SPARQLing Database Queries from Intermediate Question Decompositions

SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset


An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation

Archiving Software Surrogates on the Web for Future Reference


Code for Biterm Topic Model (published in WWW 2013)

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Topic Modeling over Short Texts by Incorporating Word Embeddings

Topic-Aware Neural Keyphrase Generation for Social Media Language

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

Topic Extraction from Microblog Posts Using Conversation Structures

Coupling Global and Local Context for Unsupervised Aspect Extraction

Empirical Methods in Natural Language Processing

Topic Modeling based on Keywords and Context

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

Attentive Representation Learning With Adversarial Training for Short Text Clustering


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


This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.

Attention Is All You Need

Effective Approaches to Attention-based Neural Machine Translation

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

Minimum Risk Training for Neural Machine Translation

Dual Supervised Learning

Dual Supervised Learning for Natural Language Understanding and Generation


Message Passing Neural Networks for Simplicial and Cell Complexes

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

Weisfeiler and Lehman Go Cellular: CW Networks

Going Deeper into Permutation-Sensitive Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

CIN++: Enhancing Topological Message Passing


ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research

Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation

A Deep Learning Approach to Clustering Visual Arts

Order Constraints in Optimal Transport

Artwork Style Recognition Using Vision Transformers and MLP Mixer

Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks


Optimal Stateless Model Checking under the Release-Acquire Semantics

Value-centric dynamic partial order reduction

Universal Wait-Free Memory Reclamation

PROCEEDINGS OF THE 25TH ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '20)

Crystalline: Fast and Memory Efficient Wait-Free Reclamation

The Reads-From Equivalence for the TSO and PSO Memory Models

Is Parallel Programming Hard, And, If So, What Can You Do About It?
  (Release v2023.06.11a)


The most accurate natural language detection library for Python, suitable for short text and mixed-language text

CCpdf: Building a High Quality Corpus for Visually Rich Documents from
  Web Crawl Data

The Parliamentary Code-Switching Corpus: Bilingualism in the Ukrainian Parliament in the 1990s-2020s

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


Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

The Robust Manifold Defense: Adversarial Training using Generative Models

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

A Classification-Based Perspective on GAN Distributions


Framework for learning dialogue agents in a two-player game setting.

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

Decoupling Strategy and Generation in Negotiation Dialogues

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues

Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead


A finite-state morphological analyzer for Turkish

A set of open source tools for Turkish natural language processing

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

An Open, Extendible, and Fast Turkish Morphological Analyzer

Recent Advances in Natural Language Processing


[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

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

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models


QGIS toolkit  for pre- and post-processing , visualizing , and running simulations  in the Weather Research and Forecasting (WRF) model

Open source QGIS toolkit for the Advanced Research WRF modelling system


KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

A review on outlier/anomaly detection in time series data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

Fixed-Budget Best-Arm Identification in Structured Bandits

Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles

Do deep neural networks contribute to multivariate time series anomaly detection?

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

Hybrid Anomaly Detection via Multihead Dynamic Graph Attention Networks for Multivariate Time Series


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


Fake News Challenge

A Retrospective Analysis of the Fake News Challenge Stance-Detection Task

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

Investigating Rumor News Using Agreement-Aware Search

International Conference on Information and Knowledge Management

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents

Journal of intelligent information systems

On the use of text augmentation for stance and fake news detection

Journal of information and telecommunication

UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based
  Multi-Modal Fact-Checking

Veritas Annotator: Discovering the Origin of a Rumour

Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)

APSN: Adversarial Pseudo-Siamese Network for Fake News Stance Detection


Train the HRNet model on ImageNet

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

1st Place Solutions of Waymo Open Dataset Challenge 2020 - 2D Object Detection Track.

Contour-based Interactive Segmentation


Predict Gender from Names Using Historical Data

The Pandemic Penalty: The gendered effects of COVID-19 on scientific productivity

Socius: Sociological Research for a Dynamic World

The Effect of Gender in the Publication Patterns in Mathematics

Uncovering Latent Biases in Text: Method and Application to Peer Review

What’s Under the Big Tent?: A Study of ADHO Conference Abstracts

Gender representation and academic achievement among STEM-interested students in college STEM courses

Addressing the Gender Gap: Using Quantitative and Qualitative Methods to Illuminate Women’s Fisheries Participation

Authors and editors assort on gender and geography in high-rank ecological publications

Fleshing Out Models of Gender in English-Language Novels (1850 – 2000)

COVID-19 and Gender Differences in Family Medicine Scholarship

ChatGPT Is More Likely to Be Perceived as Male Than Female


Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Mumford–Shah Loss Functional for Image Segmentation With Deep Learning

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

Scribble2Label: Scribble-Supervised Cell Segmentation via
  Self-Generating Pseudo-Labels with Consistency

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation.

S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for
  Scribble-supervised Polyp Segmentation

Scribble-based 3D Multiple Abdominal Organ Segmentation via
  Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency


A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

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

DiffProsody: Diffusion-based Latent Prosody Generation for Expressive
  Speech Synthesis with Prosody Conditional Adversarial Training

An investigation into the adaptability of a diffusion-based TTS model


This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Self-Supervised Learning with Swin Transformers

Fast Seismic Landslide Detection Based on Improved Mask R-CNN

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Blending Anti-Aliasing into Vision Transformer

Boost Vision Transformer with GPU-Friendly Sparsity and Quantization

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images

MRL: Learning to Mix with Attention and Convolutions


Graph Convolutional Networks in PyTorch

Semi-Supervised Classification with Graph Convolutional Networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Graph Random Neural Network for Semi-Supervised Learning on Graphs

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Local Augmentation for Graph Neural Networks

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks

Tiempos modernos: Revista Electrónica de Historia Moderna

K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE transactions on knowledge and data engineering

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning


Multi-hop dense retrieval for question answering

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reasoning over Public and Private Data in Retrieval-Based Systems


A challenge to explore adversarial robustness of neural networks on CIFAR10.

Towards Evaluating the Robustness of Neural Networks

Robustness May Be at Odds with Accuracy

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

Feature Denoising for Improving Adversarial Robustness

Generating Adversarial Examples with Adversarial Networks

Exploring the Landscape of Spatial Robustness

Spatially Transformed Adversarial Examples

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

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

Label-Consistent Backdoor Attacks


A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

End to End Learning for Self-Driving Cars

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

The art and practice of data science pipelines

Autonomous Driving in Reality with Reinforcement Learning and Image Translation

Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction.

A Little Fog for a Large Turn

Workshop on Applications of Computer Vision

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches

Towards a Change Taxonomy for Machine Learning Systems


NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Masking: A New Perspective of Noisy Supervision

Decoupled Knowledge Distillation

Searching to Exploit Memorization Effect in Learning from Corrupted Labels

FINE Samples for Learning with Noisy Labels

Wasserstein Adversarial Regularization (WAR) on label noise

Combating Bilateral Edge Noise for Robust Link Prediction

Robustness to Label Noise Depends on the Shape of the Noise Distribution
  in Feature Space

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews

Self-Supervised Learning from Web Data for Multimodal Retrieval

Wet, wild and convivial : past, present and future contributions of Australia’s ocean pools to surf, beach, pool and body cultures and recreational coasts

TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

Trace Encoding in Process Mining: a survey and benchmarking

Tsetlin Machine Embedding: Representing Words Using Logical Expressions

DANES: Deep Neural Network Ensemble Architecture for Social and Textual
  Context-aware Fake News Detection

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Proceedings of the 9th International Conference on Digital Public Health

Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning

On the Curious Case of ℓ_2 norm of Sense Embeddings


Training framework for conditional imitation learning

Exploring the Limitations of Behavior Cloning for Autonomous Driving

On Offline Evaluation of Vision-based Driving Models

Label Efficient Visual Abstractions for Autonomous Driving

A Survey on Causal Reinforcement Learning


Open Source Carpooling Platform


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

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

Realistic Synthetic Financial Transactions for Anti-Money Laundering
  Models

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

Provably Powerful Graph Neural Networks for Directed Multigraphs


A library for factorization machines and polynomial networks for classification and regression in Python.

On the Computational Efficiency of Training Neural Networks

Android Malware Detection Based on Factorization Machine

Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition.


Guide to p4lang repositories and some other public info about P4

A Survey on Data Plane Programming with P4: Fundamentals, Advances, and
  Applied Research

P4K: A Formal Semantics of P4 and Applications

Towards Software-Defined Delay Tolerant Networks


A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video

Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery

Context-Aware Zero-Shot Recognition


WWF Global Plastic Navigator


Sanitation System Alternative Generator


The Free Evaluation System Framework (FreVa)


Multiscale Solar Water Heating

Multiscale Solar Water Heating


OpenMMLab Rotated Object Detection Toolbox and Benchmark

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

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object
  Detection


Check whether targets are in the field of view of NASA's K2 space telescope

Building and Calibrating the Binary Star Population Using Kepler Data

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

Target selection of classical pulsating variables for space-based photometry

The K2 Galactic Archaeology Program: Overview, target selection and
  survey properties


Automating the Design of Multigrid Methods with Evolutionary Program Synthesis

ExaStencils: Advanced Multigrid Solver Generation

Software for Exascale Computing - SPPEXA 2016-2019

Optimizing Geometric Multigrid Methods with Evolutionary Computation


This is a repository is an overarching numerical framework for event-by-event simulations of relativistic heavy-ion collisions

Running the gamut of high energy nuclear collisions

Beam-energy dependence of the production of light nuclei in Au + Au collisions

3D structure of anisotropic flow in small collision systems at energies available at the BNL Relativistic Heavy Ion Collider

Viscosities of the Baryon-Rich Quark-Gluon Plasma from Beam Energy Scan
  Data


ROSE2 python package

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

Interaction between SNAI2 and MYOD enhances oncogenesis and suppresses differentiation in Fusion Negative Rhabdomyosarcoma

Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Genome-wide profiling of active enhancers in colorectal cancer


Creative Commons Attribution 4.0 International

Official repository of the German Radiological Society's working group on radiological reporting templates.

Structured Reporting in Cross-Sectional Imaging of the Heart: Reporting Templates for CMR Imaging of Cardiomyopathies (Myocarditis, Dilated Cardiomyopathy, Hypertrophic Cardiomyopathy, Arrhythmogenic Right Ventricular Cardiomyopathy and Siderosis)

RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren

Structured Reporting of Solid and Cystic Pancreatic Lesions in CT and MRI: Consensus-Based Structured Report Templates of the German Society of Radiology (DRG)

Structured Reporting of Acute Ischemic Stroke - Consensus-Based Reporting Templates for Non-Contrast Cranial Computed Tomography, CT Angiography, and CT Perfusion.

Structured Reporting in Multiple Sclerosis – Consensus-Based Reporting Templates for Magnetic Resonance Imaging of the Brain and Spinal Cord


iRob Surgical Automation Framework

A DVRK-based Framework for Surgical Subtask Automation

Visual servoing-based camera control for the da Vinci Surgical System

Symposium on Intelligent Systems and Informatics

An Open-Source Framework for Surgical Subtask Automation


fast thermo-chemical equilibrium code with or without equilibrium condensation down to 100K

Equilibrium chemistry down to 100 K. Impact of silicates and phyllosilicates on the carbon to oxygen ratio

A Hubble PanCET Study of HAT-P-11b: A Cloudy Neptune with a Low Atmospheric Metallicity

Implementation of disequilibrium chemistry to spectral retrieval code ARCiS and application to sixteen exoplanet transmission spectra: Indication of disequilibrium chemistry for HD 209458b and WASP-39b.

ThERESA: Three-dimensional Eclipse Mapping with Application to Synthetic JWST Data

High-resolution Transmission Spectroscopy of the Terrestrial Exoplanet GJ 486b


21cm code

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

Monthly notices of the Royal Astronomical Society

Evaluating machine learning techniques for predicting power spectra from reionization simulations

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

Monthly Notices of the Royal Astronomical Society

kern

Shakespeare and National Identity : A Dictionary

21 cm line signal from magnetic modes

Journal of Cosmology and Astroparticle Physics

A short introduction to reionization physics

A full treatment of peculiar velocities on the reionization light cone

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

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

Cross correlations of the CMB Doppler mode and the 21 cm brightness temperature in the presence of a primordial magnetic field


A suite of stochastic optimization methods for solving the empirical risk minimization problem.

Stochastic quasi-gradient methods: variance reduction via Jacobian sketching

Optimal mini-batch and step sizes for SAGA

Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods

Towards closing the gap between the theory and practice of SVRG


caliver: CALIbration and VERification of gridded fire danger models

ERA5-based global meteorological wildfire danger maps

A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices

Using machine learning to predict fire-ignition occurrences from lightning forecasts

Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs


Schema2QA Question Answering Dataset

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation


vSNP -- validate SNPs

Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer

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

Reconsidering Mycobacterium bovis as a proxy for zoonotic tuberculosis: a molecular epidemiological surveillance study

Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand

SARS-CoV-2 Omicron (B.1.1.529) Infection of Wild White-Tailed Deer in New York City

Antimicrobial resistance and genomic characterization of Salmonella Dublin isolates in cattle from the United States

Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

Who infects whom?—Reconstructing infection chains of Mycobacterium avium ssp. paratuberculosis in an endemically infected dairy herd by use of genomic data

Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas

A critical evaluation of Mycobacterium bovis pangenomics, with reference to its utility in outbreak investigation

Whole-Genome SNP Analysis Identifies Putative Mycobacterium bovis Transmission Clusters in Livestock and Wildlife in Catalonia, Spain


Microbial community analysis tools in R

Deconstructing the Bat Skin Microbiome: Influences of the Host and the Environment

Comparison of Standard Culture-Based Method to Culture-Independent Method for Evaluation of Hygiene Effects on the Hand Microbiome

The dynamics of the antibiotic resistome in the feces of freshly weaned pigs following therapeutic administration of oxytetracycline

Soil Salinity and pH Drive Soil Bacterial Community Composition and Diversity Along a Lateritic Slope in the Avon River Critical Zone Observatory, Western Australia

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Persistence of a Core Microbiome Through the Ontogeny of a Multi-Host Parasite

Effect of Biofertilizers Application on Soil Biodiversity and Litter Degradation in a Commercial Apricot Orchard

Elevational Constraints on the Composition and Genomic Attributes of Microbial Communities in Antarctic Soils

Microbial Species–Area Relationships in Antarctic Cryoconite Holes Depend on Productivity

Organic Amendments Alter Soil Hydrology and Belowground Microbiome of Tomato (Solanum lycopersicum)


Toolkit for atmospheric characterization of directly imaged exoplanets

MIRACLES: atmospheric characterization of directly imaged planets and substellar companions at 4–5 μm

GRAVITY K-band spectroscopy of HD 206893 B: brown dwarf or exoplanet

First VLTI/GRAVITY Observations of HIP 65426 b: Evidence for a Low or Moderate Orbital Eccentricity


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

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

Neutral island statistics during reionization from 21-cm tomography

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

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

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

The large-scale 21-cm power spectrum from reionization

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

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

Evaluating Summary Statistics with Mutual Information for Cosmological
  Inference


SimSpin - A package for the kinematic analysis of galaxy simulations

Recovering λR and V/σ from seeing-dominated IFS data

The MAGPI survey: Science goals, design, observing strategy, early results and theoretical framework

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

A numerical twist on the spin parameter, λR

SimSpin—Constructing mock IFS kinematic data cubes

Realistic synthetic integral field spectroscopy with RealSim-IFS

Application of dimensionality reduction and clustering algorithms for the classification of kinematic morphologies of galaxies


WGS (Wheat) Robust Assembly Pipeline

Multiple wheat genomes reveal global variation in modern breeding

A Genome Assembly of the Barley ‘Transformation Reference’ Cultivar Golden Promise

W2RAP: a pipeline for high quality, robust assemblies of large complex genomes from short read data


Quality Control of Next Generation Sequencing Data

Rapid evaluation and quality control of next generation sequencing data with FaQCs

Multiple Cases of Bacterial Sequence Erroneously Incorporated Into Publicly Available Chloroplast Genomes

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada


uops.info: Characterizing Latency, Throughput, and Port Usage of Instructions on Intel Microarchitectures

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

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions

IEEE transactions on parallel and distributed systems

PMEvo: Portable Inference of Port Mappings for Out-of-Order Processors
  by Evolutionary Optimization

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation

AnICA: Analyzing Inconsistencies in Microarchitectural Code Analyzers


Speech Enhancement Generative Adversarial Network in TensorFlow

Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition

Towards Generalized Speech Enhancement with Generative Adversarial Networks

Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation

Blind Restoration of Real-World Audio by 1D Operational GANs


Convergent substitution detection tool based on the PCOC model

Accurate Detection of Convergent Amino-Acid Evolution with PCOC

Unmatched Level of Molecular Convergence among Deeply Divergent Complex Multicellular Fungi

Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes

bioRxiv : the preprint server for biology


Thermochemical Equilibrium Abundances (TEA), a code to calculate gaseous molecular abundances under thermochemical equilibrium conditions

Equilibrium chemistry down to 100 K. Impact of silicates and phyllosilicates on the carbon to oxygen ratio

TEA: A CODE CALCULATING THERMOCHEMICAL EQUILIBRIUM ABUNDANCES

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

The composition of hot Jupiter atmospheres assembled within chemically evolved protoplanetary discs

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. I. Design, Tests, and Application to Exoplanet HD 189733b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-Transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres

Toward More Reliable Analytic Thermochemical-equilibrium Abundances


A fork of the Systems Polynomial Optimization Toolbox.

DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization

TSSOS: A Moment-SOS hierarchy that exploits term sparsity

Chordal-TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity with Chordal Extension

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming

Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments

Engineering and Business Applications of Sum of Squares Polynomials

Walking with Confidence: Safety Regulation for Full Order Biped Models

Occupation measure methods for modelling and analysis of biological hybrid systems

Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation


Dense image captioning in Torch

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Multimodal Neural Graph Memory Networks for Visual Question Answering

Meeting of the Association for Computational Linguistics

Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation

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

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops

When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions

Proceedings of the 13th International Conference on Natural Language Generation

Understanding Advertisements with BERT

Dense Video Object Captioning from Disjoint Supervision


UTMOST (unified test for molecular signatures) is a method for cross-tissue gene expression imputation for transcriptome-wide association analyses.

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

UTMOST, a single and cross-tissue TWAS (Transcriptome Wide Association Study), reveals new ASD (Autism Spectrum Disorder) associated genes

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Cross-tissue transcriptome-wide association studies identify susceptibility genes shared between schizophrenia and inflammatory bowel disease

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies

Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke

The statistical practice of the GTEx Project: from single to multiple tissues


kinfitr: PET Kinetic Modelling Using R

Open and reproducible neuroimaging: From study inception to publication

Assessment of simplified ratio-based approaches for quantification of PET [11C]PBR28 data

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

D1-Dopamine Receptor Availability in First-Episode Neuroleptic Naive Psychosis Patients

The international journal of neuropsychopharmacology

Accuracy and reliability of [11C]PBR28 specific binding estimated without the use of a reference region

kinfitr: Reproducible PET Pharmacokinetic Modelling in R


Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

Effective Extensible Programming: Unleashing Julia on GPUs

Rapid software prototyping for heterogeneous and distributed platforms

Resolving hydromechanical coupling in two and three dimensions: spontaneous channelling of porous fluids owing to decompaction weakening

Disruptive Changes in Field Equation Modeling: A Simple Interface for
  Wafer Scale Engines


Python MCMC Sampler

On Correlated-noise Analyses Applied To Exoplanet Light Curves

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

Signs of strong Na and K absorption in the transmission spectrum of WASP-103b

Near-ultraviolet Transmission Spectroscopy of HD 209458b: Evidence of Ionized Iron Beyond the Planetary Roche Lobe

PyTranSpot: A tool for multiband light curve modeling of planetary transits and stellar spots

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. I. Design, Tests, and Application to Exoplanet HD 189733b

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-Transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres


pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

A Lexicon-Based Graph Neural Network for Chinese NER

Empirical Methods in Natural Language Processing

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Microsoft Research Asia's Systems for WMT19

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition

Kingsoft's Neural Machine Translation System for WMT19

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

Less is Better: A cognitively inspired unsupervised model for language segmentation

Workshop on Cognitive Aspects of the Lexicon

A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model.

近十年来澳门的词汇增长(Macau’s Vocabulary Growth in the Recent Ten Year)

China National Conference on Chinese Computational Linguistics

Good Neighbors are All You Need for Chinese Grapheme-To-Phoneme Conversion


Channel State Information Extraction on Various Broadcom Wi-Fi Chips

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi

Human Activity Recognition Using CSI Information with Nexmon

Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

Next2You: Robust Copresence Detection Based on Channel State Information

ACM transactions on the internet of things


Specification for the FAIR DataPoint

Making FAIR Easy with FAIR Tools: From Creolization to Convergence

A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration

Techniques to Improve B2B Data Governance Using FAIR Principles

Estruturas de representação para reuso de dados no contexto da ecologia de pesquisa: CRIS institucional

A Practical Approach of Actions for FAIRification Workflows

LigADOS: Interlinking Datasets in Open Data Portal Platforms on the Semantic Web


Scripts and libraries for Environmental Genomics

The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes

piRNAs Are Associated with Diverse Transgenerational Effects on Gene and Transposon Expression in a Hybrid Dysgenic Syndrome of D. virilis

Genomic evolution of the class Acidithiobacillia: deep-branching Proteobacteria living in extreme acidic conditions

Host Specificity of the Dickeya Bacteriophage PP35 Is Directed by a Tail Spike Interaction With Bacterial O-Antigen, Enabling the Infection of Alternative Non-pathogenic Bacterial Host

Diversity and Distribution of a Novel Genus of Hyperthermophilic Aquificae Viruses Encoding a Proof-Reading Family-A DNA Polymerase

Physiological and Genomic Characterization of a Hyperthermophilic Archaeon Archaeoglobus neptunius sp. nov. Isolated From a Deep-Sea Hydrothermal Vent Warrants the Reclassification of the Genus Archaeoglobus

A dataset of four probiotic Bifidobacterium strains genome assemblies

Draft Genome Sequence of Rhodococcus erythropolis HX7, a Psychrotolerant Soil-Derived Oil Degrader

Data on draft genome sequence of Caldanaerobacter sp. strain 1523vc, a thermophilic bacterium, isolated from a hot spring of Uzon Caldera, (Kamchatka, Russia)


Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals

FALSE POSITIVE PROBABILITIES FOR ALL KEPLER OBJECTS OF INTEREST: 1284 NEWLY VALIDATED PLANETS AND 428 LIKELY FALSE POSITIVES

Stellar and planetary properties of K2 campaign 1 candidates and validation of 17 planets, including a planet receiving Earth-like insolation

K2 Discovers a Busy Bee: An Unusual Transiting Neptune Found in the Beehive Cluster

The K2-138 System: A Near-resonant Chain of Five Sub-Neptune Planets Discovered by Citizen Scientists

An exomoon survey of 70 cool giant exoplanets and the new candidate Kepler-1708 b-i

DISCOVERY AND VALIDATION OF A HIGH-DENSITY SUB-NEPTUNE FROM THE K2 MISSION

TWO SMALL TEMPERATE PLANETS TRANSITING NEARBY M DWARFS IN K2 CAMPAIGNS 0 AND 1

Validation of Small Kepler Transiting Planet Candidates in or near the Habitable Zone

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) – IV. Candidate exoplanets around stars in open clusters: frequency and age–planetary radius distribution

Monthly notices of the Royal Astronomical Society

Evidence of a Sub-Saturn around EPIC 211945201


Framework for the reproducible classification of Alzheimer's disease using machine learning

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Clinica: an open source software platform for reproducible clinical neuroscience studies

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study

HAL (Le Centre pour la Communication Scientifique Directe)


Tomofast-x is a 3D parallel inversion platform to run single domain or joint inversion of gravity and magnetic data.

Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization

Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis

Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data

Parallel three-dimensional electrical capacitance data imaging using a nonlinear inversion algorithm and Lp norm-based model regularization

Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging

Three-dimensional gravity anomaly data inversion in the Pyrenees using compressional seismic velocity model as structural similarity constraints

Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code

Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application


A simple and light-weight camera image processing pipeline

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer

Proceedings of the 30th ACM International Conference on Multimedia

NoiseTransfer: Image Noise Generation with Contrastive Embeddings


DeepSurv is a deep learning approach to survival analysis.

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

The Application of Deep Learning in Cancer Prognosis Prediction

Deep learning-based survival prediction of oral cancer patients

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery.

Stacked Autoencoder Based Multi-Omics Data Integration for Cancer
  Survival Prediction

Censored Quantile Regression Neural Networks for Distribution-Free
  Survival Analysis


Invariant representation learning from imaging and spectral data

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy

Bayesian Optimization in Continuous Spaces via Virtual Process
  Embeddings

Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach

Machine learning for automated experimentation in scanning transmission electron microscopy

Post-Experiment Forensics and Human-in-the-Loop Interventions in
  Explainable Autonomous Scanning Probe Microscopy


inetmanet branch of inet-framework 2.0

A New IEEE 802.15.4 Simulation Model for OMNeT++ / INET

DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks

mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm

Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)


Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

Learn to Explain Efficiently via Neural Logic Inductive Learning


Collection of commonly used RDP Tools for easy building

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria

Butyrate Production Pathway Abundances Are Similar in Human and Nonhuman Primate Gut Microbiomes

Review, Evaluation, and Directions for Gene-Targeted Assembly for Ecological Analyses of Metagenomes

Targeted assemblies of cas1 suggest CRISPR-Cas’s response to soil warming


Code for phasing SVs with SNPs

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

De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation

Fully Phased Sequence of a Diploid Human Genome Determined de Novo from the DNA of a Single Individual


Simple model-fitting tools

Similarities and differences in spatial and non-spatial cognitive maps

The rational use of causal inference to guide reinforcement learning strengthens with age

Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating

Computational optimization of associative learning experiments

The self and the Bayesian brain: Testing probabilistic models of body ownership through a self-localization task

Cortex; a journal devoted to the study of the nervous system and behavior


BrainPainter - Brain Visualisation Software

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

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

Differences in topological progression profile among neurodegenerative diseases from imaging data

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


A Massively Parallel FFT Library for CPU/GPU

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures

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

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

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

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

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


CaDiCaL SAT Solver

The Resolution of Keller's Conjecture

Explaining Wrong Queries Using Small Examples

Clause Size Reduction with all-UIP Learning

Theory and Applications of Satisfiability Testing

CVC4 at the SMT Competition 2018

Tighter Bounds on Directed Ramsey Number R(7)

Proceedings of the 2022 XCSP3 Competition

Comparison of SAT-based and ASP-based Algorithms for Inconsistency
  Measurement

The pigenhole principle and multicolor Ramsey numbers

Towards the shortest DRAT proof of the Pigeonhole Principle

No eleventh conditional Ingleton inequality


Python bindings, utilities  for PACE and fitting code "pacemaker"

Atomic cluster expansion for quantum-accurate large-scale simulations of
  carbon

Active learning strategies for atomic cluster expansion models


Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Video-to-Video Synthesis

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

ML-Bench: Large Language Models Leverage Open-source Libraries for
  Machine Learning Tasks

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis


Q-Force: Quantum mechanically augmented molecular force fields

Q-Force: Quantum Mechanically Augmented Molecular Force Fields

Journal of chemical theory and computation

How Ethylene Glycol Chains Enhance the Dielectric Constant of Organic Semiconductors: Molecular Origin and Frequency Dependence

Strategies for Enhancing the Dielectric Constant of Organic Materials

The journal of physical chemistry. C, Nanomaterials and interfaces


Likelihood-free inference toolbox.

Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Machine learning and multivariate goodness of fit

Experiments using machine learning to approximate likelihood ratios for mixture models