Design, analysis, findings and raw data from the 2018 GitHub Education Classroom Report

Mere belonging: The power of social connections.

Journal of personality and social psychology

First-generation students' academic engagement and retention

The Emergence of GitHub as a Collaborative Platform for Education

PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'15)

Student Experiences Using GitHub in Software Engineering Courses: A Case Study

Supporting and structuring “contributing student pedagogy” in Computer Science curricula

Using GitHub in the classroom - a collaborative learning experience

International Symposium for Design and Technology in Electronic Packaging


A Chainer extension for K-FAC

Bag of Tricks for Image Classification with Convolutional Neural Networks

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

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

Scalable and Practical Natural Gradient for Large-Scale Deep Learning


Episodic Control

Neural Episodic Control

Model-Free Episodic Control

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means.

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control

Successor Feature Neural Episodic Control


Bag of MLP

MLP-Mixer: An all-MLP Architecture for Vision

ResMLP: Feedforward networks for image classification with
  data-efficient training

Pay Attention to MLPs


MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation

IEEE transactions on neural networks and learning systems

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.


Code to compute and test structural decoupling index (Preti & Van De Ville 2019)

Decoupling of brain function from structure reveals regional behavioral specialization in humans

A synergistic core for human brain evolution and cognition

Age-Related Trajectories of Brain Structure–Function Coupling in Female Roller Derby Athletes


Tensorflow Implementation of "Semantic Segmentation of Video Sequences with Convolutional LSTMs" and "Separable Convolutional LSTMs for Faster Video Segmentation"

Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation


Unsupervised hyperspectral image super-resolution

Deep learning in multimodal remote sensing data fusion: A comprehensive review

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images

IEEE transactions on computational imaging


Science Colour Maps is a small package containing several colour maps created using viscm.

Galaxy quenching time-scales from a forensic reconstruction of their colour evolution

Forensic reconstruction of galaxy colour evolution and population characterization

Revealing the Nature of a Lyα Halo in a Strongly Lensed Interacting System at z = 2.92


VQVAE for video prediction

Generating Diverse High-Fidelity Images with VQ-VAE-2

PixelSNAIL: An Improved Autoregressive Generative Model

Predicting Video with VQVAE


Semantic Segmentation in Pytorch

PSANet: Point-wise Spatial Attention Network for Scene Parsing

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

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

Efficient Semantic Video Segmentation with Per-frame Inference

Double Similarity Distillation for Semantic Image Segmentation

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

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

Multi-Task Pruning for Semantic Segmentation Networks

CosPGD: a unified white-box adversarial attack for pixel-wise prediction
  tasks

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

IEEE International Conference on Multimedia and Expo

Contour-Aware Equipotential Learning for Semantic Segmentation


VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation

Stacked Attention Networks for Image Question Answering

Revisiting Visual Question Answering Baselines


synthetic spectrum calculation companion to MARCS

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

The CARMENES search for exoplanets around M dwarfs: Rubidium abundances in nearby cool stars

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

HORuS transmission spectroscopy of 55 Cnc e

Monthly notices of the Royal Astronomical Society

Probing the atmosphere of HD189733b with the Na i and K i lines

DREAM: III.A helium survey in exoplanets on the edge of the hot Neptune
  desert with GIANO-B@TNG

Evidence of deep mixing in IRS 7, a cool massive supergiant member of the Galactic nuclear star cluster

HORuS transmission spectroscopy and revised planetary parameters of KELT-7 b

GHOST Commissioning Science Results II: a very metal-poor star
  witnessing the early Galactic assembly


This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

Meeting of the Association for Computational Linguistics

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations

Unsupervised Compositionality Prediction of Nominal Compounds

International Conference on Computational Logic

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

Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory

Incorporating Subword Information into Matrix Factorization Word Embeddings

Comparative Analysis of Word Embeddings for Capturing Word Similarities

Zenodo (CERN European Organization for Nuclear Research)

Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata

Why So Down? The Role of Negative (and Positive) Pointwise Mutual
  Information in Distributional Semantics

Creation and Evaluation of Datasets for Distributional Semantics Tasks
  in the Digital Humanities Domain


Moana: Robust cell type classification of single-cell RNA-Seq data

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data

Computational methods for the integrative analysis of single-cell data


FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models


Chromatin State Maps in Mouse

Genomic properties of variably methylated retrotransposons in mouse

Modular Oxidation of Cytosine Modifications and Their Application in Direct and Quantitative Sequencing of 5-Hydroxymethylcytosine

Journal of the American Chemical Society

Single-cell analysis of chromatin accessibility in the adult mouse brain


Collection of scripts to reproduce the results of Astic et al. (2020): forward modelling and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)

SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications

A framework for simulation and inversion in electromagnetics

A framework for petrophysically and geologically guided geophysical inversion using a dynamic Gaussian mixture model prior

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

Petrophysically guided geophysical inversion using a dynamic Gaussian mixture model prior

SEG Technical Program Expanded Abstracts 2018


SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Time is Encoded in the Weights of Finetuned Language Models

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion
  Tokens


Analysis of TE contribution to features (transcripts or simple features). Includes utils to test enrichment.

Transposable elements generate regulatory novelty in a tissue-specific fashion

Chemotherapy-induced transposable elements activate MDA5 to enhance haematopoietic regeneration

A cis-acting structural variation at the ZNF558 locus controls a gene regulatory network in human brain development.

Confined migration induces heterochromatin formation and alters chromatin accessibility

Evolution of mouse circadian enhancers from transposable elements

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

WEE1 inhibition induces anti-tumor immunity by activating ERV and the dsRNA pathway

The Journal of experimental medicine/The journal of experimental medicine

Transposable element exaptation is the primary source of novelty in the primate gene regulatory landscape

Transposable Elements Continuously Remodel the Regulatory Landscape, Transcriptome, and Function of Decidual Stromal Cells


This is the public repository for the gevolution cosmological N-body code.

Weak-lensing observables in relativistic N-body simulations

Monthly Notices of the Royal Astronomical Society

Observing relativistic features in large-scale structure surveys - II. Doppler magnification in an ensemble of relativistic simulations

The halo bias for number counts on the light cone from relativistic N-body simulations

The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence

Mapping the cosmic mass distribution with stacked weak gravitational lensing and Doppler lensing

Relativistic matter bispectrum of cosmic structures on the light cone


Fast in-silico normalization algorithm for NGS data

A simple guide to de novo transcriptome assembly and annotation

In-silico read normalization using set multi-cover optimization

Improving in-silico normalization using read weights


End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA

Disease-Associated Circular RNAs: From Biology to Computational Identification

Pretraining model for biological sequence data

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning


Official implementation for "Few-shot Image Generation with Mixup-based Distance Learning" [ECCV 2022]

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

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis


BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

Evaluating the Factual Consistency of Abstractive Text Summarization

Factual Error Correction for Abstractive Summarization Models


Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Universal Language Model Fine-tuning for Text Classification

A System for Massively Parallel Hyperparameter Tuning

Continual spatio-temporal graph convolutional networks


Flexible Snow Model - a multi-physics energy balance model of accumulation and melt of snow on the ground and in forest canopies

Multi-physics ensemble snow modelling in the western Himalaya

Snow sensitivity to temperature and precipitation change during compound cold–hot and wet–dry seasons in the Pyrenees


One hundred challenge problems for logical formalizations of commonsense psychology

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

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

Improving Fluency in Narrative Text Generation With Grammatical Transformations and Probabilistic Parsing

International Conference on Natural Language Generation

Extending Automated Deduction for Commonsense Reasoning


Billion-scale semi-supervised learning for image classification

SWAD: Domain Generalization by Seeking Flat Minima

Ensemble of Averages: Improving Model Selection and Boosting Performance
  in Domain Generalization


The implementation of our paper: Bilinear Representation for Language-Based Image Editing using Conditional Generative Adversarial Networks (ICASSP2019)

Generative Adversarial Text to Image Synthesis

Semantic Image Synthesis via Adversarial Learning

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks

International Conference on Acoustics, Speech, and Signal Processing


Code for the paper "Taxonomy Completion via Triplet Matching Network" AAAI 2021

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

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

TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths

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

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

Expanding Knowledge Graphs with Humans in the Loop

A Language Model based Framework for New Concept Placement in Ontologies


SeqGAN but with more bells and whistles

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

The Numerics of GANs

Learning to Write with Cooperative Discriminators


Entity-centered Cross-document Relation Extraction

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild

Multi-hop Evidence Retrieval for Cross-document Relation Extraction


TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain

Improving nanopore read accuracy with the R2C2 method enables the sequencing of highly multiplexed full-length single-cell cDNA

INC-Seq: accurate single molecule reads using nanopore sequencing

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

TideHunter: efficient and sensitive tandem repeat detection from noisy long-reads using seed-and-chain


Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction


Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater
  Robots


Towards Unbounded Machine Unlearning

Towards Adversarial Evaluations for Inexact Machine Unlearning


Code for ResDMD: data-driven spectral properties of Koopman Operators

Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

Rigorous data-driven computation of spectral properties of Koopman
  operators for dynamical systems

Beyond expectations: residual dynamic mode decomposition and variance for stochastic dynamical systems


Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.

Offline Meta-Reinforcement Learning with Online Self-Supervision

Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies

Offline Meta Learning of Exploration

Adapting to Mixing Time in Stochastic Optimization with Markovian Data


PyTorch implementation of SPNv2

Towards Robust Learning-Based Pose Estimation of Noncooperative
  Spacecraft

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose
  Estimation across Domain Gap

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation:
  Current State, Limitations and Prospects


Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"

Synthetic CT skull generation for transcranial MR imaging–guided focused ultrasound interventions with conditional adversarial networks

Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures

Journal of medical imaging (Bellingham, Wash.)

Evaluation of Synthetically Generated CT for use in Transcranial Focused
  Ultrasound Procedures


Matlab toolbox for sparse regression

Algorithms for Fitting the Constrained Lasso

Dependent relevance determination for smooth and structured sparse regression

A decomposition method for lasso problems with zero-sum constraint


TACO: Learning Task Decomposition via Temporal Alignment for Control

Learning Task Decomposition with Ordered Memory Policy Network

Learning generalizable behaviors from demonstration


Supervised Local Modeling for Interpretability

Model Agnostic Supervised Local Explanations

LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling

Towards a Theory of Faithfulness: Faithful Explanations of
  Differentiable Classifiers over Continuous Data


This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"

Empirical Methods in Natural Language Processing

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check

Dynamic Connected Networks for Chinese Spelling Check

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

An Error-Guided Correction Model for Chinese Spelling Error Correction

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition

A Chinese Spelling Check Framework Based on Reverse Contrastive Learning

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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


Tools for querying and analysis of genomic data

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

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

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

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

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

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

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


Pytorch implementations of some general federated optimization methods.

Federated Optimization in Heterogeneous Networks

FedCM: Federated Learning with Client-level Momentum

FedSpeed: Larger Local Interval, Less Communication Round, and Higher
  Generalization Accuracy

Dynamic Regularized Sharpness Aware Minimization in Federated Learning:
  Approaching Global Consistency and Smooth Landscape


Progressive Learning and Disentanglement of Hierarchical Representations

Multi-Facet Clustering Variational Autoencoders

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior


Model Zoo of BDD100K Dataset

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving


A retrieval augmented sequence modeling toolkit implemented based on Fairseq

Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Efficient Nearest Neighbor Language Models

Adaptive Nearest Neighbor Machine Translation

Learning Kernel-Smoothed Machine Translation with Retrieved Examples

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

Towards Robust k-Nearest-Neighbor Machine Translation


Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and
  its Application to Reinforcement Learning

PROTES: Probabilistic Optimization with Tensor Sampling


Library for training globally-robust neural networks.

Globally-Robust Neural Networks

Relaxing Local Robustness

CertViT: Certified Robustness of Pre-Trained Vision Transformers


Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)

Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

ANNz2: Photometric Redshift and Probability Distribution Function Estimation using Machine Learning

Publications of the Astronomical Society of the Pacific

Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Morpho-z: improving photometric redshifts with galaxy morphology

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

The PAU Survey: narrow-band photometric redshifts using Gaussian processes

Degradation analysis in the estimation of photometric redshifts from non-representative training sets

The first propaganda war through computer networks: STEM academia and the breakup of Yugoslavia

Measuring photometric redshifts for high-redshift radio source surveys


This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning

Matching Networks for One Shot Learning

Meta-Learning for Semi-Supervised Few-Shot Classification

Meta-learning with differentiable closed-form solvers


Hierarchically-Refined Label Attention Network for Sequence Labeling

Uncertainty-Aware Label Refinement for Sequence Labeling

An Investigation of Potential Function Designs for Neural CRF


EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering

Introspective Distillation for Robust Question Answering


Diversity driven attention model for query-based abstractive summarization

Neural Query-Biased Abstractive Summarization Using Copying Mechanism

Query-aware Tip Generation for Vertical Search


Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Beyond Real-world Benchmark Datasets: An Empirical Study of Node
  Classification with GNNs

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

GNN Transformation Framework for Improving Efficiency and Scalability


Python Code for Quantitative Finance Papers

Hyperbolic normal stochastic volatility model

A Black-Scholes user's guide to the Bachelier model

The equivalent constant-elasticity-of-variance (CEV) volatility of the stochastic-alpha-beta-rho (SABR) model

A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'


V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI

An overview of deep learning in medical imaging

Sub-cortical structure segmentation database for young population

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications


R package for inferring copy number from read depth

ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads

Whole-genome CNV analysis: advances in computational approaches


An approximate sequence pattern matcher for FASTQ/FASTA files.

An Illumina metabarcoding pipeline for fungi

Oomycete-specific ITS primers for identification and metabarcoding

Soil depth matters: shift in composition and inter-kingdom co-occurrence patterns of microorganisms in forest soils

FEMS microbiology ecology/FEMS microbiology, ecology

Fast sequence-based microsatellite genotyping development workflow

Effects of agricultural management on phyllosphere fungal diversity in vineyards and the association with adjacent native forests

Dead or Alive; or Does It Really Matter? Level of Congruency Between Trophic Modes in Total and Active Fungal Communities in High Arctic Soil

Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms

Phylogenetic studies uncover a predominantly African lineage in a widely distributed lichen-forming fungal species

Distinct Community Composition of Previously Uncharacterized Denitrifying Bacteria and Fungi across Different Land-Use Types


A deep-learning network for all-time cloud segmentation.

CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

IEEE geoscience and remote sensing letters

Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation

Open-Source Ground-based Sky Image Datasets for Very Short-term Solar
  Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey


Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models

OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms

A LIME-Based Explainable Machine Learning Model for Predicting the Severity Level of COVID-19 Diagnosed Patients


PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

Towards Robust Learning-Based Pose Estimation of Noncooperative
  Spacecraft

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation:
  Current State, Limitations and Prospects


Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers

SA-SDR: A novel loss function for separation of meeting style data

Speeding Up Permutation Invariant Training for Source Separation

Utterance-by-utterance overlap-aware neural diarization with Graph-PIT


Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

Adversarial Robustness Against Image Color Transformation within Parametric Filter Space.

Adversarial Image Color Transformations in Explicit Color Filter Space

A Differentiable Color Filter for Generating Unrestricted Adversarial Images


Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Generalizing Nonlinear ICA Beyond Structural Sparsity


Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Machine Learning Time Series Regressions With an Application to Nowcasting


Finetuning instruct-LLaMA on german datasets.

Monolingual or Multilingual Instruction Tuning: Which Makes a Better
  Alpaca


Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation


Train a StyleGAN2 model on Colaboratory to generate Steam banners.

A Style-Based Generator Architecture for Generative Adversarial Networks

GANSpace: Discovering Interpretable GAN Controls

Closed-Form Factorization of Latent Semantics in GANs

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space


knot theory and computational algebra software

A refinement of Rasmussen's s-invariant

On the geography and botany of knot Floer homology

Rasmussen's spectral sequences and the slN-concordance invariants

The Bar-Natan homology and unknotting number

Immersed Concordances of Links and Heegaard Floer Homology

Equivariant Jones Polynomials of periodic links

Journal of knot theory and its ramifications

Khovanov homology and periodic links

A mixed invariant of non-orientable surfaces in equivariant Khovanov
  homology

A Bennequin-Type Inequality and Combinatorial Bounds

Profinite Rigidity in the SnapPea Census


Single Cell Caller (SCcaller) - Identify single nucleotide variations (SNVs) from single cell sequencing data

Accurate identification of single-nucleotide variants in whole-genome-amplified single cells

Single-cell whole-genome sequencing reveals the functional landscape of somatic mutations in B lymphocytes across the human lifespan

Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking

Maintenance of genome sequence integrity in long- and short-lived rodent species

Somatic variant calling from single-cell DNA sequencing data

Computational and structural biotechnology journal


Implementation of cryptographic algorithm with verilog hdl(such as des,aes,sha,rsa,ecc etc.)

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


Core code for the DeepHF prediction tool

Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

Pooled CRISPR screening at high sensitivity with an empirically designed sgRNA library

Guide-specific loss of efficiency and off-target reduction with Cas9 variants

bioRxiv : the preprint server for biology

gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement


Train a StyleGAN2-ADA model on Colaboratory to generate Steam banners.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

A Style-Based Generator Architecture for Generative Adversarial Networks

Analyzing and Improving the Image Quality of StyleGAN

Training Generative Adversarial Networks with Limited Data


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

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical
  Transformer for Medical Image Segmentation


A tool to develop sparse view CT reconstruction algorithms. It offers an interface to develop methods and quickly compare it with baseline methods.

Noise2Self: Blind Denoising by Self-Supervision

Self-Supervised Training For Low Dose CT Reconstruction

International Symposium on Biomedical Imaging


Towards developing a Robust Translation Model for African languages: Pilot Project FFR v1.0.

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

FFR v1.1: Fon-French Neural Machine Translation

Proceedings of the The Fourth Widening Natural Language Processing Workshop

FFR V1.0: Fon-French Neural Machine Translation


Unconstrained Scene Generation with Locally Conditioned Radiance Fields

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields


[ICPR 2022] Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information

Occupancy Networks: Learning 3D Reconstruction in Function Space

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Convolutional Occupancy Networks


COmmon COordinate FRAMEwork in R

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

Mesoscale microscopy and image analysis tools for understanding the brain

Progress in biophysics and molecular biology

Mesoscale microscopy for micromammals: image analysis tools for understanding the rodent brain


MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armed bandit (MAB) problem, by treating each action-content pair as an independent slot machine.

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

Statically Detecting Adversarial Malware through Randomised Chaining


A Survey on Text Classification: From Shallow to Deep Learning

Tensor Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Soil-Water-Balance: A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge.


Library to perform image and video self-supervised learning.

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning

Similarity contrastive estimation for image and video soft contrastive self-supervised learning


A MATLAB class for Mean Square Displacement analysis.

Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines

Matrix topology guides collective cell migration in vivo

Substrate adhesion determines migration during mesenchymal cell condensation in chondrogenesis


Semantic Drift Compensation for Class-Incremental Learning

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning


Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from  reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.


Zero-order Reaction Kinetics (Zero-RK) is a software package that simulates chemically reacting systems in a computationally efficient manner.

Faster solvers for large kinetic mechanisms using adaptive preconditioners

Autoignition behavior of gasoline/ethanol blends at engine-relevant conditions

The role of correlations in uncertainty quantification of transportation relevant fuel models

Sparse, iterative simulation methods for one-dimensional laminar flames

Cloud based tool for analysis of chemical kinetic mechanisms

A tangent linear approximation of the ignition delay time. I: Sensitivity to rate parameters

A computationally-efficient method for flamelet calculations


A tool for generating consensus long-read assemblies for bacterial genomes

Trycycler: consensus long-read assemblies for bacterial genomes

Plasmid-Borne and Chromosomal ESBL/AmpC Genes in Escherichia coli and Klebsiella pneumoniae in Global Food Products

High-quality bacterial genomes of a partial-nitritation/anammox system by an iterative hybrid assembly method

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates


利用bert预训练的中文模型进行文本分类  数据集中文情感分析语料chnsenticorp

Attention Is All You Need

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

Semi-supervised Sequence Learning

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP

WeLM: A Well-Read Pre-trained Language Model for Chinese

ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression

Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence
  Understanding


Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Simultaneous Missing Value Imputation and Structure Learning with Groups

VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups.


MoCo-based unsupervised training for Chest X-Ray Interpretation

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

Multimodal spatiotemporal graph neural networks for improved prediction
  of 30-day all-cause hospital readmission


Implementation of "Audio Retrieval with Natural Language Queries: A Benchmark Study".

Dense-Captioning Events in Videos

Clotho: An Audio Captioning Dataset

Audio Retrieval With Natural Language Queries: A Benchmark Study

QuerYD: A video dataset with high-quality text and audio narrations


MVMR R Package

Testing and Correcting for Weak and Pleiotropic Instruments in Two-Sample Multivariable Mendelian Randomisation

Is genetic liability to ADHD and ASD causally linked to educational attainment?

Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity

Investigating Casual Associations among Gut Microbiota, Metabolites and Neurodegenerative Diseases: A Mendelian Randomization Study

Prioritizing Causal Risk Factors for Severe COVID-19: An Exhaustive Mendelian Randomization Study

The relationship between BMI and COVID-19: exploring misclassification and selection bias in a two-sample Mendelian randomisation study


Attentional Learning of Trash Classification

Recycling Waste Classification Using Vision Transformer on Portable Device


A large-scale benchmark dataset for color-event based visual tracking

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and
  Metric

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark
  Dataset and A Novel Baseline


Zero-Resource Knowledge-Grounded Dialogue Generation

Learning to Express in Knowledge-Grounded Conversation

Contextual Knowledge Learning For Dialogue Generation


FedGroup, A Clustered Federated Learning framework based on Tensorflow

Federated Optimization in Heterogeneous Networks

Multi-center federated learning: clients clustering for better personalization

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering


Single-CELL rna-seq analysis software

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

SCell: integrated analysis of single-cell RNA-seq data

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN

A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data

DEEP FEATURE EXTRACTION BASED ON DYNAMIC GRAPH CONVOLUTIONAL NETWORKS FOR ACCELERATED HYPERSPECTRAL IMAGE CLASSIFICATION

XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III


Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer

Detection of neoantigen-specific T cells following a personalized vaccine in a patient with glioblastoma

Comprehensive Analysis of Subtype-Specific Molecular Characteristics of Colon Cancer: Specific Genes, Driver Genes, Signaling Pathways, and Immunotherapy Responses

Frontiers in cell and developmental biology

Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors

Atherosclerotic plaque vulnerability quantification system for clinical and biological interpretability

Multi-Omics Perspective Reveals the Different Patterns of Tumor Immune Microenvironment Based on Programmed Death Ligand 1 (PD-L1) Expression and Predictor of Responses to Immune Checkpoint Blockade across Pan-Cancer

International journal of molecular sciences

A SERPINE1-Based Immune Gene Signature Predicts Prognosis and Immunotherapy Response in Gastric Cancer


Code to calculate the crystal field Hamiltonian of magnetic ions.

N i 2 M o 3 O 8 : Complex antiferromagnetic order on a honeycomb lattice

Crystal-field Hamiltonian and anisotropy in KErSe 2 and CsErSe 2

Data-driven design of molecular nanomagnets

Crystal field levels and magnetic anisotropy in the kagome compounds Nd3Sb3Mg2O14, Nd3Sb3Zn2O14, and Pr3Sb3Mg2O14

Single-ion properties of the transverse-field Ising model materialCoNb2O6


ISO peak load forecasting application


SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data

Reconstructing gene regulatory networks in single-cell transcriptomic data analysis

Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN


Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

SlowFast Networks for Video Recognition

X3D: Expanding Architectures for Efficient Video Recognition


Learning To Compare For Text , Few shot learning in text classification

Learning to Compare: Relation Network for Few-Shot Learning

A Structured Self-attentive Sentence Embedding

Induction Networks for Few-Shot Text Classification


2.86% and 15.85% on CIFAR-10 and CIFAR-100

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

Between-class Learning for Image Classification

Shakedrop Regularization for Deep Residual Learning

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

Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition


Bridging Research and Practice with PyTorch

SimMIM: A Simple Framework for Masked Image Modeling

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

SpectFormer: Frequency and Attention is what you need in a Vision
  Transformer

Understanding the Role of the Projector in Knowledge Distillation

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with
  Statistical Tokens


Code for "Neural Tangent Generalization Attacks" (ICML 2021)

Densely Connected Convolutional Networks

Availability Attacks Create Shortcuts

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

Indiscriminate Poisoning Attacks Are Shortcuts.

Robust Unlearnable Examples: Protecting Data Against Adversarial
  Learning

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

The Devil's Advocate: Shattering the Illusion of Unexploitable Data
  using Diffusion Models

Single-level Adversarial Data Synthesis based on Neural Tangent Kernels


This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning


Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in
  Arabic Levantine Tweets

Learning meters of Arabic and English poems with Recurrent Neural
  Networks: a step forward for language understanding and synthesis


DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.

ALSgeneScanner: a pipeline for the analysis and interpretation of DNA sequencing data of ALS patients

Amyotrophic lateral sclerosis and frontotemporal degeneration/Amyotrophic lateral sclerosis & frontotemporal degeneration

DNAscan: personal computer compatible NGS analysis, annotation and visualisation

DNAscan: a fast, computationally and memory efficient bioinformatics pipeline for the analysis of DNA next-generation-sequencing data


Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

Supervised Permutation Invariant Networks for Solving the CVRP with
  Bounded Fleet Size


hotpants

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

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

The Peculiar Short-duration GRB 200826A and Its Supernova

A Deep CFHT Optical Search for a Counterpart to the Possible Neutron Star–Black Hole Merger GW190814

One Thousand Days of SN2015bn: HST Imaging Shows a Light Curve Flattening Consistent with Magnetar Predictions

Infrared Echoes of Optical Tidal Disruption Events: similar to 1% Dust-covering Factor or Less at Subparsec Scale

Light Curves of 213 Type Ia Supernovae from the ESSENCE Survey

Extreme variability in an active galactic nucleus: Gaia16aax

Monthly notices of the Royal Astronomical Society

The Curious Case of PHL 293B: A Long-lived Transient in a Metal-poor Blue Compact Dwarf Galaxy

SN 2015ba: a Type IIP supernova with a long plateau

Flash Ionization Signatures in the Type Ibn Supernova SN 2019uo


Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture

Learning Speech-driven 3D Conversational Gestures from Video

Online Normalization for Training Neural Networks

Adversarial Bi-Regressor Network for Domain Adaptive Regression

Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid
  Objects

Deblurring Photographs of Characters Using Deep Neural Networks


Yet Another (natural language) Parser

Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies

International Conference on Computational Linguistics

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

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

The Hebrew Universal Dependency Treebank: Past Present and Future

Empirical Methods in Natural Language Processing

Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task


Tools to Conduct Meteorological Normalisation on Air Quality Data

A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region


Her2 Breast Cancer Project

Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer

Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model

THItoGene: a deep learning method for predicting spatial transcriptomics from histological images


GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

Monthly Notices of the Royal Astronomical Society

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Large-scale Heteroscedastic Regression via Gaussian Process

Degradation analysis in the estimation of photometric redshifts from non-representative training sets


Newly released traffic light dataset for small object detection.

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

A novel algorithm for small object detection based on YOLOv4


An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)

Backdoor Attacks to Graph Neural Networks

Graph Backdoor


Few-Shot Learning with Localization in Realistic Settings

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Learning from Few Samples: A Survey


Reinforcement learning for deformable image registration, AAAI 2022

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration

Stochastic Actor-Executor-Critic for Image-to-Image Translation

Image-to-Image Translation with Deep Reinforcement Learning


This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map".

Deep neural network models for computational histopathology: A survey

Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications

Assessing the Impact of Color Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks

Frontiers in bioengineering and biotechnology


Approximate knockoffs and model-free variable selection.

Deep Knockoffs

Journal of the American Statistical Association

Deep Direct Likelihood Knockoffs

Multivariate rank via entropic optimal transport: sample efficiency and
  generative modeling

Normalizing Flows for Knockoff-free Controlled Feature Selection

Learning to Increase the Power of Conditional Randomization Tests


Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models


Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot
  Cross-lingual Information Extraction


Stefan Engblom's Matlab libraries

A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D

Topology optimization with linearized buckling criteria in 250 lines of Matlab

An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization

Structural and multidisciplinary optimization


Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Backdoor Cleansing with Unlabeled Data


WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"

DiffuRec: A Diffusion Model for Sequential Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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


Particle swarm optimization (PSO) that supports constraints

Benchmarking Five Global Optimization Approaches for Nano-optical Shape Optimization and Parameter Reconstruction

A PSF-based approach to Kepler/K2 data – II. Exoplanet candidates in Praesepe (M 44)

A PSF-based approach to Kepler/K2 data - III. Search for exoplanets and variable stars within the open cluster M 67 (NGC 2682)

An artificial neural network to discover hypervelocity stars: candidates in Gaia DR1/TGAS

Planning a sports training program using Adaptive Particle Swarm Optimization with emphasis on physiological constraints

In Silico Modeling of Biofilm Formation by Nontypeable Haemophilus influenzae In Vivo

Comparing Single-Objective Optimization Protocols for Calibrating the Birds Nest Aquifer Model—A Problem Having Multiple Local Optima

International journal of environmental research and public health

Searching for long faint astronomical high energy transients: a data driven approach


Deep (Transfer) Learning for Peptide Retention Time Prediction

Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning

Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage

DeepRT: deep learning for peptide retention time prediction in proteomics

Retention Time of Peptides in Liquid Chromatography Is Well Estimated upon Deep Transfer Learning


Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"

Benchmark for Evaluating Pedestrian Action Prediction

Workshop on Applications of Computer Vision

IntFormer: Predicting pedestrian intention with the aid of the
  Transformer architecture

Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors

TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early
  Intent Prediction


Image Synthesis From Reconfigurable Layout and Style

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable
  Layout and Style


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

Regularizing and Optimizing LSTM Language Models

Creative GANs for generating poems, lyrics, and metaphors.


SAFE: Similarity-Aware Multi-Modal Fake News Detection

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

International Conference on Information and Knowledge Management

Detecting fake news by exploring the consistency of multimodal data


Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.

Syntactic Scaffolds for Semantic Structures

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

A Graph-Based Neural Model for End-to-End Frame Semantic Parsing


Baselines for Model-Based Optimization

Conservative Objective Models for Effective Offline Model-Based Optimization

Generative Pretraining for Black-Box Optimization

Bootstrapped Training of Score-Conditioned Generator for Offline Design
  of Biological Sequences


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

Graph Self-Supervised Learning: A Survey

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

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

Reinforcement Learning on Graphs: A Survey

Data Augmentation on Graphs: A Technical Survey

State of the Art and Potentialities of Graph-level Learning


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

Prompt-based Distribution Alignment for Domain Generalization in Text Classification

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


R Package for Aligned Rank Transform for Nonparametric Factorial ANOVAs

Oscillatory brain activity in spontaneous and induced sleep stages in flies

Anodal tDCS over the primary motor cortex improves motor imagery benefits on postural control: A pilot study

Fine root production in a chronosequence of mature reforested mangroves

Resource and dependency based test case generation for RESTful Web services

Robust DNA protocols for tropical soils

Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

Transgenerational Effects of Prenatal Endocrine Disruption on Reproductive and Sociosexual Behaviors in Sprague Dawley Male and Female Rats

Optimal Combination of Anodal Transcranial Direct Current Stimulations and Motor Imagery Interventions

Comparison of Three Accelerated Oxidation Tests Applied to Red Wines with Different Chemical Composition


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

Graph Self-Supervised Learning: A Survey

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

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

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


Tool for the extraction and mapping of photovoltaics modules from IR drone videos of utility-scale PV plants (my PhD project)

Computer vision tool for detection, mapping, and fault classification of photovoltaics modules in aerial IR videos

Anomaly detection in IR images of PV modules using supervised contrastive learning

Georeferencing of photovoltaic modules from aerial infrared videos using structure‐from‐motion


A flexible, effective and fast cross-view gait recognition network

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules


Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

PubTables-1M: Towards comprehensive table extraction from unstructured documents

GriTS: Grid table similarity metric for table structure recognition

PubTables-1M: Towards a universal dataset and metrics for training and evaluating table extraction models.

Aligning benchmark datasets for table structure recognition


Safe Exploration in Continuous Action Spaces

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring
  Statewise Safety

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe
  Autonomous Driving


A Survey on Causal Inference

Representation Learning for Treatment Effect Estimation from Observational Data

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple
  Imbalanced Treatment Effects

Adversarial Distribution Balancing for Counterfactual Reasoning

Causal Effect Estimation using Variational Information Bottleneck

A Survey of Deep Causal Models and Their Industrial Applications


Rectified Rotary Position Embeddings

YaRN: Efficient Context Window Extension of Large Language Models

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Extending LLMs' Context Window with 100 Samples

The What, Why, and How of Context Length Extension Techniques in Large
  Language Models -- A Detailed Survey

Transformers Can Achieve Length Generalization But Not Robustly


Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Relevance-Promoting Language Model for Short-Text Conversation

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


Interactive Segmentation of Nucleus

NuClick: A deep learning framework for interactive segmentation of microscopic images

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge


[ SIGIR '20 ] How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

Multi-Pointer Co-Attention Networks for Recommendation

TransNets: Learning to Transform for Recommendation

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

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


HDGI code

Graph Self-Supervised Learning: A Survey

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

Heterogeneous Deep Graph Infomax

Data Augmentation on Graphs: A Technical Survey

HeMI: Multi-view Embedding in Heterogeneous Graphs


Berry curvature and Chern number calculations with the output (WAVECAR) of VASP code

Strain effects on the topological and valley properties of the Janus monolayer VSiGeN4

Valley-polarized quantum anomalous Hall insulator in monolayer RuBr2

A possible electronic state quasi-half-valley-metal in
  VGe_2P_4 monolayer

Circular Dichroism of Emergent Chiral Stacking Orders in Quasi-One-Dimensional Charge Density Waves

Electric-field induced magnetic-anisotropy transformation to achieve spontaneous valley polarization

Proposal for valleytronic materials: Ferrovalley metal and valley gapless semiconductor

Importance of magnetic shape anisotropy in determining magnetic and
  electronic properties of monolayer VSi_2P_4

Piezoelectric ferromagnetism in Janus monolayer YBrI: a first-principles prediction


Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information

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


Pytorch code for Towards Backward-Compatible Representation Learning [CVPR 2020 Oral]

CoReS: Compatible Representations via Stationarity

FastFill: Efficient Compatible Model Update


A PyTorch implementation of L-BFGS.

SAMBA: Safe Model-Based & Active Reinforcement Learning

Deep kernel learning for integral measurements

When are Iterative Gaussian Processes Reliably Accurate?

Statistically equivalent surrogate material models: Impact of random imperfections on the elasto-plastic response

Iterative Reconstruction of the Electron Density and Effective Atomic
  Number using a Non-Linear Forward Model


[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival
  Prediction


A comprehensive, global, open source database of power plants


MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Mobile Sensor Data Anonymization

Protecting Sensory Data against Sensitive Inferences

PROCEEDINGS OF THE WORKSHOP ON PRIVACY BY DESIGN IN DISTRIBUTED SYSTEMS (P2DS'18)

Privacy and Utility Preserving Sensor-Data Transformations

DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks

DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach


code for "Fully Neural Network based Model for General Temporal Point Processes"

Intensity-Free Learning of Temporal Point Processes

Using Deep Learning for Flexible and Scalable Earthquake Forecasting


The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

Counting People by Estimating People Flows

A Spatio-Temporal Attentive Network for Video-Based Crowd Counting


Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them

Revisiting Temporal Modeling for Video-based Person ReID

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Video Person Re-ID: Fantastic Techniques and Where to Find Them


PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded
  External Features


GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation

Towards Quantifiable Dialogue Coherence Evaluation

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation

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


A multimodal deep learning framework for predicting drug-drug interaction events

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade

Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks


AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy


Equivariant Imaging (EI), ICCV'2021 Oral

Equivariant Imaging: Learning Beyond the Range Space

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems


PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Deep Learning on Graphs: A Survey

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

Compact Graph Structure Learning via Mutual Information Compression

Learning Strong Graph Neural Networks with Weak Information

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

A Generalized Neural Diffusion Framework on Graphs

Robust Graph Representation Learning for Local Corruption Recovery

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication


Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability

Probabilistic Inductive Logic Programming Based on Answer Set Programming

diff-SAT - A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming.

Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization


Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Knowledge Distillation by On-the-Fly Native Ensemble


Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

Learning Filter Basis for Convolutional Neural Network Compression

CondenseNet with exclusive lasso regularization


Sparse4D v1 & v2

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal
  Fusion

Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

Sparse4D v3: Advancing End-to-End 3D Detection and Tracking


Deep network that performs spectral clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Deep Kernel Learning for Clustering

Deep Clustering With Consensus Representations

TC-DWA:Text Clustering with Dual Word-Level Augmentation

Proceedings of the AAAI Conference on Artificial Intelligence


Clustering-based methods for overlapping diarization

GPU-accelerated Guided Source Separation for Meeting Transcription

Low-Latency Speech Separation Guided Diarization for Telephone Conversations

An Experimental Review of Speaker Diarization methods with application
  to Two-Speaker Conversational Telephone Speech recordings

Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and
  LAnguage in Conversational Environments


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

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

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


The re-implementation of Smooth Grad-CAM++ with pytorch

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

International journal of computer vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models


Based on the mmdetection framework, compute various salience maps for object detection.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Black-box Explanation of Object Detectors via Saliency Maps


QTLseqr is an R package for QTL mapping using NGS Bulk Segregant Analysis

QTLseqr: An R package for bulk segregant analysis with next-generation sequencing

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

A graph-based genome and pan-genome variation of the model plant Setaria

Optimizing bulk segregant analysis of drug resistance using Plasmodium falciparum genetic crosses conducted in humanized mice

BSA-seq Identifies a Major Locus on Chromosome 6 for Root-Knot Nematode (Meloidogyne graminicola) Resistance From Oryza glaberrima

Genome assembly and resequencing analyses provide new insights into the evolution, domestication and ornamental traits of crape myrtle


Structured matrices for compressing neural networks

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Learning Compressed Transforms with Low Displacement Rank

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Orthogonal Transform Domain Approaches for the Convolutional Layer

Localized Contrastive Learning on Graphs


Python library to compute different properties of quantum tight binding models in a lattice

Noncontact Andreev Reflection as a Direct Probe of Superconductivity on the Atomic Scale

HofstadterTools: A Python package for analyzing the Hofstadter model

Effects of electron-electron interactions in the Yu-Shiba-Rusinov lattice model


Max-value Entropy Search for Efficient Bayesian Optimization

Adversarially Robust Optimization with Gaussian Processes

Multi-Fidelity Bayesian Optimization via Deep Neural Networks

On a New Improvement-Based Acquisition Function for Bayesian Optimization

Surrogate modeling for Bayesian optimization beyond a single Gaussian
  process

Modulating Surrogates for Bayesian Optimization

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures

Robust expected improvement for Bayesian optimization


Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

A Multigrid Method for Efficiently Training Video Models


Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval


A toy example of VAE-regression network

Variational AutoEncoder For Regression: Application to Brain Aging Analysis

Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis


Incremental construction of FM-index for DNA sequences

Fast construction of FM-index for long sequence reads

Burrows-Wheeler transform for terabases

A New Class of String Transformations for Compressed Text Indexing

Computing the optimal BWT of very large string collections


A curated list of text-based image manipulation methods.

Language-based colorization of scene sketches

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Text-Guided Image Inpainting

Paired-D GAN for Semantic Image Synthesis

Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations


R pkg for Hierarchical Dirichlet Process

Patterns of somatic structural variation in human cancer genomes

Tobacco smoking and somatic mutations in human bronchial epithelium

Somatic mutations and clonal dynamics in healthy and cirrhotic human liver

Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Somatic Evolution in Non-neoplastic IBD-Affected Colon

Timing the initiation of multiple myeloma

The mutational signature profile of known and suspected human carcinogens in mice

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Genomic-transcriptomic evolution in lung cancer and metastasis

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma


Low-complexity neural image & video codec.

COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec

Low-complexity Overfitted Neural Image Codec


AlBERTo the first italian BERT model for Twitter languange understanding

KR-BERT: A Small-Scale Korean-Specific Language Model

Killing me softly: Creative and cognitive aspects of implicitness in abusive language online

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

A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020


Analogical inference for knowledge graph completion

Analogical Inference for Multi-Relational Embeddings

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Improving Knowledge Graph Embedding Using Simple Constraints

On Evaluating Embedding Models for Knowledge Base Completion

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


Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles

Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles

LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles


Quasar: Datasets for Question Answering by Search and Reading

Denoising Distantly Supervised Open-Domain Question Answering

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

Natural Language Processing Advancements By Deep Learning: A Survey

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and
  Benchmark Datasets

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

Cross-Thought for Sentence Encoder Pre-training

Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension

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

Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization

Findings of the Association for Computational Linguistics: EMNLP 2021


An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

Explainable AI Methods - A Brief Overview

Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability

Shapley Decomposition of R-Squared in Machine Learning Models


PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Fairness via In-Processing in the Over-parameterized Regime: A
  Cautionary Tale

Demystifying Local and Global Fairness Trade-offs in Federated Learning
  Using Partial Information Decomposition


Bangla-Bert is a pretrained bert model for Bengali language

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

A benchmark study of machine learning models for online fake news detection

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media

Computer systems science and engineering

A Review of Bangla Natural Language Processing Tasks and the Utility of
  Transformer Models

BLP-2023 Task 2: Sentiment Analysis

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks

Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT

ACM transactions on Asian and low-resource language information processing


Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.

Unsupervised Video Decomposition using Spatio-temporal Iterative Inference


The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph
  Contrastive Learning

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation


GilBERTo: A pretrained language model based on RoBERTa for Italian

What the [MASK]? Making Sense of Language-Specific BERT Models

Pre-training Polish Transformer-based Language Models at Scale

BERTino: an Italian DistilBERT model

Few-shot Named Entity Recognition with Cloze Questions

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

A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare


Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

On the Generalization and Adaption Performance of Causal Models


Corpus tiếng việt

PhoBERT: Pre-trained language models for Vietnamese

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites

Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization

Investigating Monolingual and Multilingual BERTModels for Vietnamese
  Aspect Category Detection

VSEC: Transformer-based Model for Vietnamese Spelling Correction

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

PhoGPT: Generative Pre-training for Vietnamese


A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Collaborative Distillation for Top-N Recommendation

HAM: Hybrid Associations Models for Sequential Recommendation

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

DiffuRec: A Diffusion Model for Sequential Recommendation

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

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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

End-to-end Learnable Clustering for Intent Learning in Recommendation


Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching

The iNaturalist Species Classification and Detection Dataset

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


DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Topological spin excitations in Harper-Heisenberg spin chains

Non-Hermitian many-body topological excitations in interacting quantum dots

Lee-Yang theory of criticality in interacting quantum many-body systems

Inducing a many-body topological state of matter through Coulomb-engineered local interactions

Designing quantum many-body matter with conditional generative adversarial networks

Topological phase diagrams of exactly solvable non-Hermitian interacting Kitaev chains

Dynamical topological excitations in parafermion chains

Many-body Majorana-like zero modes without gauge symmetry breaking

Kondo lattice mediated interactions in flat-band systems

Hamiltonian Inference from Dynamical Excitations in Confined Quantum Magnets


12000+ manually drawn pixel-level lung segmentations, with and without covid

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value


Public code developed during my MSc study at University of Bologna

A Formalization of the Process Algebra CCS in HOL4

Further Formalization of the Process Algebra CCS in HOL4

Formalized Lambek Calculus in Higher Order Logic (HOL4)

A Formalization of Unique Solutions of Equations in Process Algebra


Dilated Residual Networks

Dilated Residual Networks

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

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

The Spatially-Correlative Loss for Various Image Translation Tasks

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China

Towards General and Efficient Active Learning


Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

U-Net: Convolutional Networks for Biomedical Image Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights


This repository implements SummaryMixing, a simpler, faster and much cheaper replacement to self-attention for automatic speech recognition (see: https://arxiv.org/abs/2307.07421). The code is ready to be used with the SpeechBrain toolkit).

Branchformer: Parallel MLP-Attention Architectures to Capture Local and
  Global Context for Speech Recognition and Understanding

HyperMixer: An MLP-based Low Cost Alternative to Transformers

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition

SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding


Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Sequence-to-Sequence Contrastive Learning for Text Recognition

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition


Weather and climate graphics for science communication


Electricity-Theft Detection in Smart Grids

Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

A Robust Hybrid Deep Learning Model for Detection of Non-Technical Losses to Secure Smart Grids

A Novel Feature-Engineered–NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data

Improving power theft detection using efficient clustering and ensemble classification

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Exploring Nearest Neighbor Approaches for Image Captioning

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


This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System

Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision


Character-level Convolutional Networks for Text Classification

Text Understanding from Scratch

Deep Learning-Based Sentiment Classification: A Comparative Survey

Taxonomic Classification for Living Organisms Using Convolutional Neural Networks

Decoder Tuning: Efficient Language Understanding as Decoding

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?

Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion


Learning Deep Representations of Fine-grained Visual Descriptions

Prototypical Networks for Few-shot Learning

Fine-Grained Image Classification via Combining Vision and Language

Fine-Grained Visual-Textual Representation Learning

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions


TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Heuristic rank selection with progressively searching tensor ring network

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks


Effective Algebraic Topology in Haskell

Polynomial-time computation of homotopy groups and Postnikov systems in
  fixed dimension

Computing all maps into a sphere

Polynomial-time homology for simplicial Eilenberg-MacLane spaces

Computing the homology of groups: the geometric way

The Hochschild complex of a twisting cochain

Effective homotopy of fibrations

Applicable algebra in engineering, communication and computing

Computing the first stages of the Bousfield-Kan spectral sequence

Szczarba’s twisting cochain and the Eilenberg–Zilber maps

A Bousfield–Kan Algorithm for Computing the Effective Homotopy of a Space

Foundations of computational mathematics

Computing higher Leray-Serre spectral sequences of towers of fibrations


VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.

Cross-task weakly supervised learning from instructional videos

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube

Non-Sequential Graph Script Induction via Multimedia Grounding


Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

Deep Learning on Graphs: A Survey

Semi-supervised Learning on Graphs with Generative Adversarial Nets

International Conference on Information and Knowledge Management


TuckER: Tensor Factorization for Knowledge Graph Completion

Empirical Methods in Natural Language Processing

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Temporal Knowledge Graph Forecasting with Neural ODE

LowFER: Low-rank Bilinear Pooling for Link Prediction

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

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

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

Single UHD Image Dehazing via Interpretable Pyramid Network

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language
  Models

NePTuNe: Neural Powered Tucker Networkfor Knowledge Graph Completion


A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.

LW-FIRE: A Lightweight Wildfire Image Classification with a Deep Convolutional Neural Network

Non-stationary VFD Evaluation Kit: Dataset and Metrics to Fuel Video-Based Fire Detection Development

A Two-Stream CNN Model with Adaptive Adjustment of Receptive Field Dedicated to Flame Region Detection


An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

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

Self-supervised Representation Learning with Relative Predictive Coding

コミュニティ・スクールの推進に関する研究（2） : コミュニティ・スクールの課題と展望

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch


Final Year Project for Speech Separation

Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

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

A cappella: Audio-visual Singing Voice Separation


Tools to work with GWAS-VCF summary statistics files

Nuclear genetic control of mtDNA copy number and heteroplasmy in humans

medRxiv : the preprint server for health sciences


PyTorch implementation of X3D models with Multigrid training.

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

X3D: Expanding Architectures for Efficient Video Recognition

A Multigrid Method for Efficiently Training Video Models


ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup

PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON MULTIMEDIA CONTENT ANALYSIS IN SPORTS, MMSPORTS 2019


A collection of RL algorithms written in JAX.

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

Soft Actor-Critic Algorithms and Applications

Distributional Reinforcement Learning with Quantile Regression

Implicit Quantile Networks for Distributional Reinforcement Learning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Soft Actor-Critic for Discrete Action Settings

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction


SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel

DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning

Kairos: Practical Intrusion Detection and Investigation using
  Whole-system Provenance

OSTINATO: Cross-host Attack Correlation Through Attack Activity
  Similarity Detection

Local2Global: a distributed approach for scaling representation learning on graphs


Robust loss functions for deep neural networks (CVPR 2017)

Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Learning from Noisy Labels with Deep Neural Networks: A Survey

Wasserstein Adversarial Regularization for Learning With Label Noise

IEEE transactions on pattern analysis and machine intelligence

Wasserstein Adversarial Regularization (WAR) on label noise


MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification

DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification

Progressive Class Semantic Matching for Semi-supervised Text Classification

Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification


Open Astronomy Catalog API

Late-time H/He-poor Circumstellar Interaction in the Type Ic Supernova SN 2021ocs: An Exposed Oxygen–Magnesium Layer and Extreme Stripping of the Progenitor*

The broad-lined Type-Ic supernova SN 2022xxf with extraordinary
  two-humped light curves

Open Astronomy Catalogs API

HAFFET: Hybrid Analytic Flux FittEr for Transients

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

An archival search for type Ia supernova siblings

Magnetar Flare-driven Bumpy Declining Light Curves in Hydrogen-poor Superluminous Supernovae


[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Pros and Cons of GAN Evaluation Measures: New Developments

InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning

A Systematic Survey of Regularization and Normalization in GANs

Mimicry: Towards the Reproducibility of GAN Research

A New Perspective on Stabilizing GANs Training: Direct Adversarial Training

Local-Global MCMC kernels: the best of both worlds

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion

BIGRoC: Boosting Image Generation via a Robust Classifier

Exploring the Effect of High-frequency Components in GANs Training

On Sampling with Approximate Transport Maps