Pipeline for scaffolding and breaking a genome assembly using 10x genomics linked-reads

Towards complete and error-free genome assemblies of all vertebrate species

Reference genome and demographic history of the most endangered marine mammal, the vaquita

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Zenodo (CERN European Organization for Nuclear Research)

Divergent expression of hypoxia response systems under deoxygenation in reef‐forming corals aligns with bleaching susceptibility

Evolutionary and biomedical insights from a marmoset diploid genome assembly

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

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Transcript- and annotation-guided genome assembly of the European starling

The genome sequence of the Norway rat, Rattus norvegicus Berkenhout 1769


Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Dynamic Sparse Training for Deep Reinforcement Learning

Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction

Unsupervised Reinforcement Learning in Multiple Environments

On the Practical Consistency of Meta-Reinforcement Learning Algorithms

Dynamic Subgoal-based Exploration via Bayesian Optimization

Collision Avoidance Robotics Via Meta-Learning (CARML)


MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

Position-Enhanced Visual Instruction Tuning for Multimodal Large
  Language Models

Transformer Module Networks for Systematic Generalization in Visual
  Question Answering

Extending Phrase Grounding with Pronouns in Visual Dialogues

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

A Joint Study of Phrase Grounding and Task Performance in Vision and
  Language Models

Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue


Code for the paper "Evaluating Large Language Models Trained on Code"

Holistic Evaluation of Language Models

Multi-lingual Evaluation of Code Generation Models

Large Language Models Meet NL2Code: A Survey

Capturing Failures of Large Language Models via Human Cognitive Biases

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

PanGu-Coder2: Boosting Large Language Models for Code with Ranking
  Feedback

Large Language Models of Code Fail at Completing Code with Potential
  Bugs

A Simple, Yet Effective Approach to Finding Biases in Code Generation

Are Human-generated Demonstrations Necessary for In-context Learning?

Deep Learning Based Code Generation Methods: A Literature Review


This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision
  Transformers with Locality

Revisiting Discriminative vs. Generative Classifiers: Theory and
  Implications

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Continual Learners are Incremental Model Generalizers

A Deep Learning Approach Using Masked Image Modeling for Reconstruction
  of Undersampled K-spaces


Keras implementation of Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

Representing Long-Range Context for Graph Neural Networks with Global Attention

Malicious Powershell Detection Using Graph Convolution Network

Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters


Dilated Convolution for Semantic Image Segmentation

Multi-Scale Context Aggregation by Dilated Convolutions

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

Procedural Modeling and Physically Based Rendering for Synthetic Data
  Generation in Automotive Applications

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

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


Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

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

Transcriptome dynamics of hippocampal neurogenesis in macaques across the lifespan and aged humans

Effects of poor sleep on the immune cell landscape as assessed by single-cell analysis

Identification of Key eRNAs for Spinal Cord Injury by Integrated Multinomial Bioinformatics Analysis

Frontiers in cell and developmental biology

CITEdb: a manually curated database of cell–cell interactions in human

Single-Cell Transcriptomics Analysis of the Pathogenesis of Tendon Injury

Oxidative medicine and cellular longevity

Identification of Key Immune-Related Genes in the Progression of Septic Shock

Insights gained from single-cell analysis of immune cells in tofacitinib treatment of Vogt-Koyanagi-Harada disease

Integrative analysis of cancer-associated fibroblast signature in gastric cancer

Dissection of Cellular Communication between Human Primary Osteoblasts and Bone Marrow Mesenchymal Stem Cells in Osteoarthritis at Single-Cell Resolution


MITObim - mitochondrial baiting and iterative mapping

Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

A systematic comparison of chloroplast genome assembly tools

Museum Genomics Confirms that the Lord Howe Island Stick Insect Survived Extinction

Atp8 is in the ground pattern of flatworm mitochondrial genomes

Complete Chloroplast Genome Sequence of Malus hupehensis: Genome Structure, Comparative Analysis, and Phylogenetic Relationships

The Transcriptomes of Xiphinema index and Longidorus elongatus Suggest Independent Acquisition of Some Plant Parasitism Genes by Horizontal Gene Transfer in Early-Branching Nematodes

Complete mitochondrial genome of the super mealworm Zophobas atratus (Fab.) (Insecta: Coleoptera: Tenebrionidae)

Widespread conservation of chromatin accessibility patterns and transcription factor binding in human and chimpanzee induced pluripotent stem cells

The complete mitochondrial genome of click beetle Chiagosnius sulcicollis (Coleoptera: Elateridae) and phylogenetic analysis.

Characterization of the complete chloroplast genome of Michelia maudiae (Magnoliaceae)


Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

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

Unsupervised Scale-Consistent Depth Learning from Video

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

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


Suspicious DGA from PDNS and Sandbox.

UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

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

Journal of network and computer applications


PyTorch implementation of UNet++ (Nested U-Net).

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

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

EVALUATION OF UNet AND UNet++ ARCHITECTURES IN HIGH RESOLUTION IMAGE CHANGE DETECTION APPLICATIONS

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network


Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)

MegDet: A Large Mini-Batch Object Detector

Rethinking on Multi-Stage Networks for Human Pose Estimation

Learning Delicate Local Representations for Multi-Person Pose Estimation


Deep Interest Evolution Network for Click-Through Rate Prediction

User Response Prediction in Online Advertising

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation


Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Human-Adversarial Visual Question Answering

Separating Skills and Concepts for Novel Visual Question Answering

Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations

Learning Relation Alignment for Calibrated Cross-modal Retrieval


Creative Commons Attribution 4.0 International

A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.

SoundSpaces: Audio-Visual Navigation in 3D Environments

Learning to Set Waypoints for Audio-Visual Navigation

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning


Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

AST: Audio Spectrogram Transformer

SSAST: Self-Supervised Audio Spectrogram Transformer

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations

CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio
  Classification

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Multiscale Audio Spectrogram Transformer for Efficient Audio Classification

Dataset Balancing Can Hurt Model Performance

IEEE International Conference on Acoustics, Speech, and Signal Processing

MaskedKD: Efficient Distillation of Vision Transformers with Masked
  Images

Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion

Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds


Code to compute the XP-CLR statistic to infer natural selection

Large-scale whole-genome resequencing unravels the domestication history of Cannabis sativa

Improved genome assembly and pan‐genome provide key insights into eggplant domestication and breeding

The Plant journal : for cell and molecular biology

Improved pea reference genome and pan-genome highlight genomic features and evolutionary characteristics

Genome-Wide Association Study Reveals Complex Genetic Architecture of Cadmium and Mercury Accumulation and Tolerance Traits in Medicago truncatula

Genetic Diversity, Structure, and Selective Sweeps in Spinacia turkestanica Associated With the Domestication of Cultivated Spinach

Whole Genome Sequencing Reveals Signatures for Artificial Selection for Different Sizes in Japanese Primitive Dog Breeds

Genomic Analysis Reveals Human-Mediated Introgression From European Commercial Pigs to Henan Indigenous Pigs

Genome resequencing reveals independent domestication and breeding improvement of naked oat


adapter trimmer for Oxford Nanopore reads

Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity

SARS-CoV-2 is transmitted via contact and via the air between ferrets

Mobile antibiotic resistome in wastewater treatment plants revealed by Nanopore metagenomic sequencing

High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

Monitoring SARS-CoV-2 circulation and diversity through community wastewater sequencing

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species

Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment

Targeting the 16S rRNA Gene for Bacterial Identification in Complex Mixed Samples: Comparative Evaluation of Second (Illumina) and Third (Oxford Nanopore Technologies) Generation Sequencing Technologies

International journal of molecular sciences

The gut microbiota prime systemic antiviral immunity via the cGAS-STING-IFN-I axis.


Variant calling and somatic mutation/CNV detection for next-generation sequencing data

Nanopore Targeted Sequencing for Rapid Gene Mutations Detection in Acute Myeloid Leukemia

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

Lineage Divergence of Dendrolimus punctatus in Southern China Based on Mitochondrial Genome

Vaccination decreases the risk of influenza A virus reassortment but not genetic variation in pigs

Protocol for the development of joint attention-based subclassification of autism spectrum disorder and validation using multi-modal data


Public domain software for processing and analyzing scientific images

Tsc1 haploinsufficiency in Nkx2.1 cells upregulates hippocampal interneuron mTORC1 activity, impairs pyramidal cell synaptic inhibition, and alters contextual fear discrimination and spatial working memory in mice

Development of a conductive biocomposite combining graphene and amniotic membrane for replacement of the neuronal network of tissue-engineered urinary bladder

GSTpi regulates VE-cadherin stabilization through promoting S-glutathionylation of Src

DW2009 Elevates the Efficacy of Donepezil against Cognitive Impairment in Mice

IL-22 regulates endometrial regeneration by enhancing tight junctions and orchestrating extracellular matrix

Microglial morphometric analysis: so many options, so little consistency

Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Role of EmaSR in Ethanol Metabolism by Acinetobacter baumannii

Preventive Effects of Chlorogenic Acid on Alveolar Bone Loss in Ligature-Induced Periodontitis in Mice


Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

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

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Unshuffling Data for Improved Generalization in Visual Question Answering

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Meta Module Network for Compositional Visual Reasoning

Transformer Reasoning Network for Image-Text Matching and Retrieval

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding

Probing Contextual Language Models for Common Ground with Visual Representations


Official implementation of Character Region Awareness for Text Detection (CRAFT)

Text Detection and Recognition in the Wild: A Review

iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations

Pelee-Text++: A Tiny Neural Network for Scene Text Detection

Scene Text Detection in Natural Images: A Review

ロボティクス・メカトロニクス講演会講演概要集

Authorship Recognition with Short-Text using Graph-based Techniques

Meeting of the Association for Computational Linguistics

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos


[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

End-to-End Interpretation of the French Street Name Signs Dataset

Chinese Text in the Wild


My bioinfo toolbox

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

HaploTypo: a variant-calling pipeline for phased genomes


Fast K-Medoids clustering in Python with FasterPAM

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Clustering by Direct Optimization of the Medoid Silhouette


Code and data of multiscale Ulva model


Deep Reinforcement Learning for Flight Control

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

Soft Actor-Critic Algorithms and Applications

Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control


Diurnal Physical Activity Patterns across Ages in a Large UK Based Cohort: The UK Biobank Study

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Fast Generalized Functional Principal Components Analysis


Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Language Model Unalignment: Parametric Red-Teaming to Expose Hidden
  Harms and Biases

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned
  Language Models through Task Arithmetic


This is the official implementation of Multi-Agent PPO.

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Neural Graph Control Barrier Functions Guided Distributed
  Collision-avoidance Multi-agent Control

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition


Graphs, finite fields and discrete dynamical systems in Kotlin

Reweighted Random Walks for Graph Matching

Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Graph Algorithms in the Language of Linear Algebra

Society for Industrial and Applied Mathematics eBooks

Path Problems in Networks

Synthesis lectures on learning, networks, and algorithms

KnightKing: a fast distributed graph random walk engine

Symposium on Operating Systems Principles

Context-Free Path Querying by Matrix Multiplication

A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation

Towards an API for the real numbers

Programming Language Design and Implementation

Code Search on Bytecode for Mobile App Development

PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019)

GOOL: a generic object-oriented language

Proceedings of the 2020 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation


Real Time Speech Enhancement in the Waveform Domain

Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

Paaploss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement


A toolbox for knowledge compilation

CCDD: A Tractable Representation for Model Counting and Uniform Sampling

Scalable Probabilistic Routes

Logic Programming and Automated Reasoning


Declarative Experimentation in Information Retrieval using PyTerrier

International Conference on the Theory of Information Retrieval

Doc2Query--: When Less is More


COsmological N-body CodE in PyThon

νCONCEPT: Cosmological neutrino simulations from the non-linear Boltzmann hierarchy

Journal of Cosmology and Astroparticle Physics

Fully relativistic treatment of decaying cold dark matter in N-body simulations

CONCEPT - The COsmological N-body CodE in PyThon

The cosmological simulation code CON CEPT  1.0


ISWC 2020 Tutorial: How to build large knowledge graphs efficiently (LKGT)

Ontop: Answering SPARQL queries over relational databases

HoloClean: Holistic Data Repairs with Probabilistic Inference

KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing

Test-driven evaluation of linked data quality

WWW'14: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

EDBT/ICDT Workshops - Sieve: linked data quality assessment and fusion

Improving the Quality of Linked Data Using Statistical Distributions

International journal on semantic web and information systems/International journal on Semantic Web and information systems

LOD Laundromat: A Uniform Way of Publishing Other People’s Dirty Data

Assessing linked data mappings using network measures

Luzzu—A Methodology and Framework for Linked Data Quality Assessment

Linked Open Data Aggregation: Conflict Resolution and Aggregate Quality

Computer Software and Applications Conference


Geom-GCN: Geometric Graph Convolutional Networks

Adaptive Universal Generalized PageRank Graph Neural Network

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

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

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization

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

Deformable Graph Convolutional Networks


Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Interventional Few-Shot Learning

Realistic Evaluation of Transductive Few-Shot Learning


Code for "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021.

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends


On Calibration of Modern Neural Networks

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

Linear Connectivity Reveals Generalization Strategies


Minimax Estimation of Conditional Moment Models

On Instrumental Variable Regression for Deep Offline Policy Evaluation

Instrumental Variables in Causal Inference and Machine Learning: A
  Survey


FaKnow is designed for reproducing and developing fake news detection algorithms.

Fake News Detection on Social Media using Geometric Deep Learning

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media


MS2: Multi-Document Summarization of Medical Studies

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature

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

A Survey for Biomedical Text Summarization: From Pre-trained to Large
  Language Models


R interface to the Greek National Data Bank for Hydrometeorological Information

hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information

ropensci/hydroscoper: hydroscoper 1.0.0


Papers for Open Knowledge Discovery

Multi-class Open Set Recognition Using Probability of Inclusion

Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning

Open Intent Extraction from Natural Language Interactions

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

Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III


Enabling easy statistical significance testing for deep neural networks.

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

SkillSpan: Hard and Soft Skill Extraction from English Job Postings

deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction

What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

Experimental Standards for Deep Learning in Natural Language Processing Research

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data
  via Dynamic Graph Structure Learning


[CVPR 2021] A large-scale face image dataset that allows text-to-image generation, text-guided image manipulation, sketch-to-image generation, GANs for face generation and editing, image caption, and VQA

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Conditional Image Generation and Manipulation for User-Specified Content


Processing and visualization tools for quantitative MRI data

Denoising of diffusion MRI using random matrix theory

Diffusion MRI Noise Mapping Using Random Matrix Theory

Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease

Extended phase graphs: Dephasing, RF pulses, and echoes ‐ pure and simple

Journal of magnetic resonance imaging : JMRI

The importance of correcting for signal drift in diffusion MRI

Fast and accurate algorithm for the simulation of NMR spectra of large spin systems

Journal of magnetic resonance (San Diego, Calif. : 1997)

REKINDLE: Robust extraction of kurtosis INDices with linear estimation

Muscle Changes Detected with Diffusion-Tensor Imaging after Long-Distance Running

Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling

Simultaneous muscle water T2 and fat fraction mapping using transverse relaxometry with stimulated echo compensation


Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

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

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

Effective Approaches to Attention-based Neural Machine Translation

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding


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

Robustness May Be at Odds with Accuracy

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

Generating Adversarial Examples with Adversarial Networks

Exploring the Landscape of Spatial Robustness

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

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

Towards the first adversarially robust neural network model on MNIST

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

The Limitations of Adversarial Training and the Blind-Spot Attack


alfonso: ALgorithm For Non-Symmetric Optimization

A homogeneous interior-point algorithm for nonsymmetric convex conic optimization

Sum-of-squares optimization without semidefinite programming

Alfonso: Matlab Package for Nonsymmetric Conic Optimization

Performance enhancements for a generic conic interior point algorithm

Complexity Analysis of a Sampling-Based Interior Point Method for Convex Optimization


Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Machine Learning Sensors


The MegaMorph version of GALAPAGOS

Galaxy And Mass Assembly (GAMA): understanding the wavelength dependence of galaxy structure with bulge-disc decompositions

Monthly notices of the Royal Astronomical Society

Galapagos-2/Galfitm/Gama – Multi-wavelength measurement of galaxy structure: Separating the properties of spheroid and disk components in modern surveys

The KMOS Cluster Survey (KCS). III. Fundamental Plane of Cluster Galaxies at z similar or equal to 1.80 in JKCS 041

Hubble Frontier Field Clusters and Their Parallel Fields: Photometric and Photometric Redshift Catalogs

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

Euclid preparation

HAL (Le Centre pour la Communication Scientifique Directe)


Zero-Resource Translation with Multi-Lingual Neural Machine Translation

Joint Copying and Restricted Generation for Paraphrase

A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation

Meeting of the Association for Computational Linguistics

Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language

Conference of the Association for Machine Translation in the Americas


Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Task-adaptive Neural Process for User Cold-Start Recommendation

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps


Efficiently Modeling Long Sequences with Structured State Spaces

Simplified State Space Layers for Sequence Modeling

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Hyena Hierarchy: Towards Larger Convolutional Language Models

Online learning of long-range dependencies

GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling


[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

Making Pre-trained Language Models Better Few-shot Learners

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

Rethinking Semi-supervised Learning with Language Models

DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis


Tools for Insteon RF

Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM

Physical Layer-Based IoT Security: An Investigation Into Improving Preamble-Based SEI Performance When Using Multiple Waveform Collections

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath
  Environment Using Semi-Supervised Learning


Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set
  Active Learning


This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

Online Planning in POMDPs with Self-Improving Simulators


SOTA medical image segmentation methods based on various challenges

U-Mamba: Enhancing Long-range Dependency for Biomedical Image
  Segmentation

Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

International journal of advanced computer science and applications/International journal of advanced computer science & applications


Feature extractor for DL speech processing.

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep speech inpainting of time-frequency masks

Anti-transfer learning for task invariance in convolutional neural networks for speech processing

A novel audio representation using space filling curves


A Mathematica Tracing Package Using FORM

FormTracer. A mathematica tracing package using FORM

Lorentzian quantum gravity and the graviton spectral function

On Gauge Consistency In Gauge-Fixed Yang-Mills Theory

QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations


Cross-lingual Dependency Parsing Based on Distributed Representations

A Survey of Cross-lingual Word Embedding Models

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

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.


Naive Bayes SVM for Sentiment Analysis

Skip-Thought Vectors

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews


Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.

Continuous control with deep reinforcement learning

Hindsight Experience Replay

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Soft Hindsight Experience Replay


This project implements ETX metric in AODV routing protocol in NS3 simulator

Joint traffic-aware UAV placement and predictive routing for aerial networks

A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks

A Framework for Performance Evaluation of VANETs Using NS-3 Simulator


List of research around modern boardgames.

Playing Hanabi Near-Optimally

Aspects of the Cooperative Card Game Hanabi

Communications in computer and information science

Meeple Centred Design: A Heuristic Toolkit for Evaluating the Accessibility of Tabletop Games

Eighteen Months of Meeple Like Us: An Exploration into the State of Board Game Accessibility

Human-Side Strategies in the Werewolf Game Against the Stealth Werewolf Strategy

Evolving maps and decks for ticket to ride

International Conference on Foundations of Digital Games

Neural Networks Models for Analyzing Magic: the Gathering Cards

HOAD: The Hanabi Open Agent Dataset

Monte Carlo Tree Search for the Game of Diplomacy

Hellenic Conference on Artificial Intelligence


Forward and Inverse Radiative Transport using the Adding-Doubling method

Universal Theory of Light Scattering of Randomly Oriented Particles: A Fluctuational-Electrodynamics Approach for Light Transport Modeling in Disordered Nanostructures

Multiwavelength tissue-mimicking phantoms with tunable vessel pulsation

Methodology development and evaluation of optical properties
  characterisation of small size tissue samples


Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.

High-Resolution Image Synthesis with Latent Diffusion Models

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

CVPR 2023 Text Guided Video Editing Competition

Edit Temporal-Consistent Videos with Image Diffusion Model

MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance


Visual Question Answering in PyTorch with various Attention Models

VQA: Visual Question Answering

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

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Stacked Attention Networks for Image Question Answering


The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters.

VEST: Automatic Feature Engineering for Forecasting

Model Compression for Dynamic Forecast Combination

Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators


[ISMIR 2022] Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription

SpeechBrain: A General-Purpose Speech Toolkit

End-to-end Lyrics Alignment for Polyphonic Music Using an
  Audio-to-Character Recognition Model

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm.

Self-Transriber: Few-shot Lyrics Transcription with Self-training


The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE transactions on knowledge and data engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Robust Dynamic Network Embedding via Ensembles


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

Automated model discovery for human brain using Constitutive Artificial Neural Networks

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

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

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


KoLLaVA: Korean Large Language-and-Vision Assistant (feat.LLaVA)

Visual Instruction Tuning

InstructBLIP: Towards General-purpose Vision-Language Models with
  Instruction Tuning


Convert biological neuronal networks to artificial recurrent neuronal networks

A mesoscale connectome of the mouse brain

Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution

A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex

Wiring cost and topological participation of the mouse brain connectome

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

Specificity and robustness of long-distance connections in weighted, interareal connectomes

The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles

Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template

Bio-instantiated recurrent neural networks


TE tools for TE RNASeq and smallRNASeq analysis with galaxy

TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes

Expression of the Retrotransposon Helena Reveals a Complex Pattern of TE Deregulation in Drosophila Hybrids

High Stability of the Epigenome in Drosophila Interspecific Hybrids


Python API for interactive fiction games

Language Understanding for Text-based Games Using Deep Reinforcement Learning

Deep Reinforcement Learning with a Natural Language Action Space

Baselines for Reinforcement Learning in Text Games

A survey of benchmarks for reinforcement learning algorithms


Object-Based Image Analysis Tools for Radiative Transfer Modeling


BlockQuicksort: How Branch Mispredictions don't affect Quicksort

Engineering In-place (Shared-memory) Sorting Algorithms

Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme

Performance Evaluation of Parallel Sortings on the Supercomputer Fugaku


A foundation model for knowledge graph reasoning

Towards Foundation Models for Knowledge Graph Reasoning

A Multi-Task Perspective for Link Prediction with New Relation Types and
  Nodes

A Benchmark to Understand the Role of Knowledge Graphs on Large Language
  Model's Accuracy for Question Answering on Enterprise SQL Databases


Automatic Speech Recognition Benchmark for Air-Traffic Communications

How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications

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


DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm.

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription


Code to implement the DunedinPACE scoring algorithm in Illumina 450k or EPIC array data

DunedinPACE, a DNA methylation biomarker of the pace of aging

Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging

The role of adolescent lifestyle habits in biological aging: A prospective twin study

Sex differences in epigenetic age in Mediterranean high longevity regions

Metal mixtures and DNA methylation measures of biological aging in American Indian populations

Associations between epigenetic aging and childhood peer victimization, depression, and suicidal ideation in adolescence and adulthood: A study of two population-based samples

Frontiers in cell and developmental biology

Associations of essential trace elements with epigenetic aging indicators and the potential mediating role of inflammation


Deep learning for Metagenome Assembly Error Detection

DeepMAsED: evaluating the quality of metagenomic assemblies

DeepMAsED: Evaluating the quality of metagenomic assemblies

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


Differentiation of Blackbox Combinatorial Solvers

Contrastive Losses and Solution Caching for Predict-and-Optimize

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Backpropagation through Combinatorial Algorithms: Identity with
  Projection Works

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for
  Linear and Integer Programming


python wrapper for MOOG. All plots are handled with matplotlib.

A new and homogeneous metallicity scale for Galactic classical Cepheids

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. I. NGC 3201

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. II. ω Centauri∗

Stellar Population Astrophysics (SPA) with TNG Atmospheric parameters of members of 16 unstudied open clusters

Planet Engulfment Detections are Rare According to Observations and
  Stellar Modeling

Searching For Transiting Planets Around Halo Stars. I. Sample Selection and Validation

Lithium abundances as a tracer of AGB stars pollution in the globular
  cluster NGC 6752

Stellar Population Astrophysics (SPA) with the TNG. alpha-elements,
  lithium, sodium and aluminum in 16 open clusters

Oxygen, sulfur, and iron radial abundance gradients of classical Cepheids across the Galactic thin disk

Neutron-capture elements in NGC 6752 multiple populations


Tensorflow code to train TDLM

Topic-Guided Variational Auto-Encoder for Text Generation

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

Topically Driven Neural Language Model

A Discrete Variational Recurrent Topic Model without the Reparametrization Trick

textTOvec: Deep Contextualized Neural Autoregressive Topic Models of
  Language with Distributed Compositional Prior


Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning

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

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

Controlling Grammatical Error Correction Using Word Edit Rate

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing

Non-Autoregressive Grammatical Error Correction Toward a Writing Support System


Interpretable Neural Predictions with Differentiable Binary Variables

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Understanding Interlocking Dynamics of Cooperative Rationalization

Rationalizing predictions by adversarial information calibration


Weights & Biases benchmark for drought prediction

Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya


ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).

ThingML+ Augmenting Model-Driven Software Engineering for the Internet
  of Things with Machine Learning

A model-driven approach to machine learning and software modeling for the IoT

From things' modeling language (ThingML) to things' machine learning (ThingML2)

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

International Conference on Software Engineering

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Annual International Computer Software and Applications Conference

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial
  Intelligence

ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services

MDE for Machine Learning-Enabled Software Systems: A Case Study and
  Comparison of MontiAnna & ML-Quadrat


A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO

Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys

High-throughput computation and structure prototype analysis for two-dimensional ferromagnetic materials

Data-driven equation for drug-membrane permeability across drugs and membranes

SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparsifying Operator Approach

Dimerization of sub-nanoscale molecular clusters affords broadly tuneable viscoelasticity above the glass transition temperature

Distilling Accurate Descriptors from Multi-Source Experimental Data for
  Discovering Highly Active Perovskite OER Catalysts

Journal of the American Chemical Society


Checking Status of Plant Names based on The Plantlist and More

Are dominant plant species more susceptible to leaf‐mining insects? A case study at Saihanwula Nature Reserve, China

Metabolomic Profiles of Essential Oils from Selected Rosa Varieties and Their Antimicrobial Activities

Why Are There so Many Plant Species That Transiently Flush Young Leaves Red in the Tropics?

Taxonomic, Phylogenetic, and Functional Diversity of Ferns at Three Differently Disturbed Sites in Longnan County, China

Functional trade‐offs and the phylogenetic dispersion of seed traits in a biodiversity hotspot of the Mountains of Southwest China

Phylogenetic and Functional Traits Verify the Combined Effect of Deterministic and Stochastic Processes in the Community Assembly of Temperate Forests along an Elevational Gradient

Does pollinator dependence decrease along elevational gradients?

Flora diversity survey and establishment of a plant DNA barcode database of Lomas ecosystems in Peru


Parallel Genomic evaluations in R

Accuracy of Genomic Prediction for Foliar Terpene Traits in Eucalyptus polybractea

Association of CNVs with methylation variation

A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping


Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

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

Evolution-Guided Policy Gradient in Reinforcement Learning

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared
  State Representation and Individual Policy Representation

A surrogate-assisted controller for expensive evolutionary reinforcement learning

Rethinking Population-assisted Off-policy Reinforcement Learning

Proceedings of the Genetic and Evolutionary Computation Conference


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

Evaluating Conversational Recommender Systems via User Simulation

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

Plato Dialogue System: A Flexible Conversational AI Research Platform

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems

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

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

User Simulation for Evaluating Information Access Systems

How to Evaluate Your Dialogue Models: A Review of Approaches


Code for ACL'2021 paper WARP  Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

WARP: Word-level Adversarial ReProgramming

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

Y
-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning


Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

VisualBERT: A Simple and Performant Baseline for Vision and Language

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

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for
  Visual Question Localized-Answering in Robotic Surgery


MClust is a Matlab-based spike sorting toolbox for the separation of putative cells from multi-site neurophysiological recordings.  It is particularly good for tetrodes.

Experience-dependent evolution of odor mixture representations in piriform cortex

Effects of the mGlu2/3 receptor agonist LY379268 on two models of disturbed auditory evoked brain oscillations in mice

Enhancement of Mediodorsal Thalamus Rescues Aberrant Belief Dynamics in a Novel Mouse Model for Schizophrenia

bioRxiv : the preprint server for biology


Entropic Optimal Transport Benchmark (NeurIPS 2023).

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

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


A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

FSPool: Learning Set Representations with Featurewise Sort Pooling

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models


a python package for reduced density matrix techniques

Linear and nonlinear spectroscopy from quantum master equations

A partially linearized spin-mapping approach for simulating nonlinear optical spectra

A simple improved low temperature correction for the hierarchical equations of motion

On detailed balance in nonadiabatic dynamics: From spin spheres to
  equilibrium ellipsoids

Detailed balance in mixed quantum-classical mapping approaches


Code for the paper "Contrastive Learning Inverts the Data Generating Process".

CITRIS: Causal Identifiability from Temporal Intervened Sequences

Causal Representation Learning for Instantaneous and Temporal Effects in
  Interactive Systems

Towards efficient representation identification in supervised learning


PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Rapidly changing subglacial hydrological pathways at a tidewater glacier revealed through simultaneous observations of water pressure, supraglacial lakes, meltwater plumes and surface velocities

Calving controlled by melt-under-cutting: detailed calving styles revealed through time-lapse observations

PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology

PyTrx: A Python toolbox for deriving velocities, surface areas and
line measurements from oblique imagery in glacial environments


Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis


[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

MaPLe: Multi-modal Prompt Learning

Dynamic Prompting: A Unified Framework for Prompt Tuning

DePT: Decoupled Prompt Tuning


Global Maps of Potential Natural Vegetation based on Machine Learning

Global mapping of potential natural vegetation: an assessment of Machine Learning algorithms for estimating land potential


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

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

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

FastPitch: Parallel Text-to-speech with Pitch Prediction

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


Preprints from the BDI Pathogen Dynamics team regarding digital contact tracing and other non-pharmaceutical interventions for Covid-19. More details on our website:

Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19

Bidirectional contact tracing could dramatically improve COVID-19 control

A population-based controlled experiment assessing the epidemiological impact of digital contact tracing

What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

From Pandemic Control to Data-Driven Governance: The Case of China’s Health Code

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran

International journal of environmental research and public health

Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Listening to Bluetooth Beacons for Epidemic Risk Mitigation


[CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"

Florence: A New Foundation Model for Computer Vision

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented
  Visual Models

K-LITE: Learning Transferable Visual Models with External Knowledge


Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

Semantics-Empowered Communication: A Tutorial-cum-Survey

Deep Metric Learning With Density Adaptivity

Identity and rivalry among football fans of the City of Sao Paulo.


UnifiedQA: Crossing Format Boundaries With a Single QA System

Instruction Tuning for Large Language Models: A Survey

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training

PROST: Physical Reasoning of Objects through Space and Time

Single-dataset Experts for Multi-dataset Question Answering

Memory-efficient Transformers via Top-k Attention

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Crystal: Introspective Reasoners Reinforced with Self-Feedback

Factual and Informative Review Generation for Explainable Recommendation


Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

Hierarchical VAEs Know What They Don't Know

Variational Neural Cellular Automata

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior


An Efficient Chinese Text Classifier

Towards a Robust Deep Neural Network in Texts: A Survey

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization

Super Characters: A Conversion from Sentiment Classification to Image Classification

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

Journal of organizational and end user computing

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

Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension

Datasets for Large Language Models: A Comprehensive Survey


R package for plotting Whittaker biomes with ggplot2

Deep learning and citizen science enable automated plant trait predictions from photographs

Climate change and elevated CO&lt;sub&gt;2&lt;/sub&gt; favor forest over savanna under different future scenarios in South Asia

C4 trees have a broader niche than their close C3 relatives

Global Vegetation Project: An Interactive Online Map of Open-Access Vegetation Photos


[NeurIPS2022] Deep Model Reassembly

Deep Model Reassembly

Stitchable Neural Networks

Deep Incubation: Training Large Models by Divide-and-Conquering


Accurate prediction of cell type-specific transcription factor binding

PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting

Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models

Importance of RpoD- and Non-RpoD-Dependent Expression of Horizontally Acquired Genes in Cupriavidus metallidurans


ASL Structural Inspection Planner

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots

Motion Primitives-based Navigation Planning using Deep Collision Prediction

Design and Control of an Aerial Manipulator for Contact-based Inspection.

Semantics-aware Exploration and Inspection Path Planning

Realizing the Aerial Robotic Worker for Inspection Operations.

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping
  Applications using Aerial Robots


NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Faithful Chain-of-Thought Reasoning

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning

Design of Chain-of-Thought in Math Problem Solving

Mastering Symbolic Operations: Augmenting Language Models with Compiled
  Neural Networks

SELF: Self-Evolution with Language Feedback


Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

The autofeat Python Library for Automated Feature Engineering and Selection

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


:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised
  Segmentation of Histopathology Images


DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion
  Probabilistic Models

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model


ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models


Version 5 of the CAFE phylogenetics software

Comparative genomics of the coconut crab and other decapod crustaceans: exploring the molecular basis of terrestrial adaptation

Differences in pseudogene evolution contributed to the contrasting flavors of turnip and Chiifu, two Brassica rapa subspecies

Genomic basis of multiphase evolution driving divergent selection of zinc-finger homeodomain genes


(CVPR21/ECCV20 Workshops) Official repo: Virtual Image Dataset for Illumination Transfer (VIDIT)

AIM 2020: Scene Relighting and Illumination Estimation Challenge

VIDIT: Virtual Image Dataset for Illumination Transfer

NTIRE 2021 Depth Guided Image Relighting Challenge

SA-AE for Any-to-Any Relighting


Cancer Drug Response prediction using a Recommender System

Predicting Cancer Drug Response using a Recommender System

Machine learning for multi-omics data integration in cancer

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches

GraphITE: Estimating Individual Effects of Graph-structured Treatments

Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity


Character-level Convolutional Networks for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

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

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

Active Learning with Query Generation for Cost-Effective Text Classification

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

Robust Text Classifier on Test-Time Budgets

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


Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking

Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images


Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation
  and Radiogenomic Classification

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

The Federated Tumor Segmentation (FeTS) Challenge

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).


IUCN Red List API Client


Deep Relevance Ranking Using Enhanced Document-Query Interactions

Towards Axiomatic Explanations for Neural Ranking Models

International Conference on the Theory of Information Retrieval

Salient context-based semantic matching for information retrieval

EURASIP Journal on Advances in Signal Processing


Full-gradient saliency maps

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

International journal of computer vision

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

SmoothGrad: removing noise by adding noise

Full-Gradient Representation for Neural Network Visualization

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning

Generating Attribution Maps with Disentangled Masked Backpropagation


A machine learning-based system that uses state-of-the-art natural language processing (NLP) question answering (QA) techniques combined with summarization for mining the available scientific literature

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research.

Generative Long-form Question Answering: Relevance, Faithfulness and
  Succinctness


Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Prioritized Level Replay

Evolving Curricula with Regret-Based Environment Design

Replay-Guided Adversarial Environment Design

Stabilizing Unsupervised Environment Design with a Learned Adversary


Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

Speech Denoising with Deep Feature Losses

Deep learning for minimum mean-square error approaches to speech enhancement

DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation

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

Restoring speech intelligibility for hearing aid users with deep learning

A Two-Stage Deep Neuroevolutionary Technique for Self-Adaptive Speech Enhancement

Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network

Sum-Product Networks for Robust Automatic Speaker Recognition.


Restricted Boltzmann Machines in Python.

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Learnergy: Energy-based Machine Learners


Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter

Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation

Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo.


A collection of implementations of deep domain adaptation algorithms

A Comprehensive Survey on Transfer Learning

Deep Subdomain Adaptation Network for Image Classification

IEEE transactions on neural networks and learning systems

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Multi-representation adaptation network for cross-domain image classification

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

Adaptive Trajectory Prediction via Transferable GNN

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion

Transfer Learning Toolkit: Primers and Benchmarks

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction

Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios


A tool to assess the quality and distribution of genomic data

SWI/SNF and RSC cooperate to reposition and evict promoter nucleosomes at highly expressed genes in yeast

Evidence of pioneer factor activity of an oncogenic fusion transcription factor

The DNA-binding protein HTa from Thermoplasma acidophilum is an archaeal histone analog

Creating 2D Occupancy Plots Using plot2DO

STEM CELL TRANSCRIPTIONAL NETWORKS: METHODS AND PROTOCOLS, 2ND EDITION


RGB-D Salient Object Detection: A Survey

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

Siamese Network for RGB-D Salient Object Detection and Beyond

Uncertainty Inspired RGB-D Saliency Detection

Specificity-preserving RGB-D Saliency Detection


A suite of tools for optimizing the shape and topology of electromagnetic structures.

Inverse design of grating couplers using the policy gradient method from reinforcement learning

Adjoint optimization of polarization-splitting grating couplers


Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.


Portable command-line tool to query bioinformatics APIs, data, databases and files.

Somatic inflammatory gene mutations in human ulcerative colitis epithelium

Transcriptional landscape of B cell precursor acute lymphoblastic leukemia based on an international study of 1,223 cases

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

miR-219 Cooperates with miR-338 in Myelination and Promotes Myelin Repair in the CNS

Distinct Molecular Trajectories Converge to Induce Naive Pluripotency

Manifold Roles of CCR7 and Its Ligands in the Induction and Maintenance of Bronchus-Associated Lymphoid Tissue


Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).

LoRA: Low-Rank Adaptation of Large Language Models

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Grounding Large Language Models in Interactive Environments with Online
  Reinforcement Learning


Java Geometry Expert

Automated Discovery of Geometrical Theorems in GeoGebra

Four Geometry Problems to Introduce Automated Deduction in Secondary Schools

Open Geometry Prover Community Project

Towards a geometry deductive database prover

Annals of mathematics and artificial intelligence

A Rule Based Theorem Prover: an Introduction to Proofs in Secondary Schools


[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".

Bridging the Gap between Object and Image-level Representations for
  Open-Vocabulary Detection

Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture


Fast and Robust Iterative Closest Point

A Robust Loss for Point Cloud Registration

Real-Time 6-DOF Pose Estimation of Known Geometries in Point Cloud Data


GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction

A Comprehensive Survey on Graph Summarization with Graph Neural Networks


[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers


ControlLoRA: A Lightweight Neural Network To Control Stable Diffusion Spatial Information

GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

SCEdit: Efficient and Controllable Image Diffusion Generation via Skip
  Connection Editing


Fast and easy exoplanet transit light curve modelling.

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

Monthly Notices of the Royal Astronomical Society

pytransit: fast and easy exoplanet transit modelling in python

Transiting exoplanet candidates from K2 Campaigns 5 and 6

The GTC exoplanet transit spectroscopy survey - I. OSIRIS transmission spectroscopy of the short period planet WASP-43b

The Kepler-19 System: A Thick-envelope Super-Earth with Two Neptune-mass Companions Characterized Using Radial Velocities and Transit Timing Variations

Kepler-77b: a very low albedo, Saturn-mass transiting planet around a metal-rich solar-like star

Multicolour photometry for exoplanet candidate validation

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)

The GTC exoplanet transit spectroscopy survey - II. An overly large Rayleigh-like feature for exoplanet TrES-3b


Detect and align similar passages

Language Resources for Historical Newspapers: the Impresso Collection

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

Readers' engagement through digital social reading on Twitter: the TwLetteratura case study

Shamela: A Large-Scale Historical Arabic Corpus

Studying the history of the Arabic language: language technology and a large-scale historical corpus

Algorithmic Analysis of Medieval Arabic Biographical Collections

Tracking Textual Similarities in Neo-Latin Drama Networks

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Capybara: A computational tool to measure cell identity and fate transitions

Gene Regulatory Network Reconfiguration in Direct Lineage Reprogramming

Single-cell lineage tracing reveals hierarchy and mechanism of adipocyte precursor maturation

bioRxiv : the preprint server for biology


A pipeline for performing genome-wide association tests for bacterial genomes.

Antimicrobial resistance determinants are associated with Staphylococcus aureus bacteraemia and adaptation to the hospital environment: a bacterial genome-wide association study


Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition


Transfusion: Understanding Transfer Learning for Medical Imaging

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Insights on representational similarity in neural networks with canonical correlation

A Survey of Deep Learning for Scientific Discovery

Ecco: An Open Source Library for the Explainability of Transformer Language Models

Meeting of the Association for Computational Linguistics

Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs

Explainable Clinical Decision Support from Text

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

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models

Revisiting Hidden Representations in Transfer Learning for Medical
  Imaging


This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Dynamic Graph CNN for Learning on Point Clouds

PointConv: Deep Convolutional Networks on 3D Point Clouds

Deep Closest Point: Learning Representations for Point Cloud Registration

PCN: Point Completion Network

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

FlowNet3D: Learning Scene Flow in 3D Point Clouds

RPM-Net: Robust Point Matching using Learned Features

PRNet: Self-Supervised Learning for Partial-to-Partial Registration


Drebin - NDSS 2014 Re-implementation

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection

When the Guard failed the Droid: A case study of Android malware

Dataset Bias in Android Malware Detection


CMA-ES written in ANSI C (yet fairly object-oriented)

Quantifying the impact of boundary constraint handling methods on differential evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion


Official Pytorch implementation of GANILLA

GANILLA: Generative Adversarial Networks for Image to Illustration Translation

MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation

Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons


R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

Molecular therapy. Methods & clinical development

Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells

ascend: R package for analysis of single-cell RNA-seq data

Generation of human neural retina transcriptome atlas by single cell RNA sequencing


Side Channels Analysis and Deep Learning

Deep learning for side-channel analysis and introduction to ASCAD database

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis

IACR transactions on cryptographic hardware and embedded systems

Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis

Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis

Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis

An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis

Conditional Variational AutoEncoder based on Stochastic Attacks

InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis


Signature verification package, for learning representations from signature data, training user-dependent classifiers.

Learning features for offline handwritten signature verification using deep convolutional neural networks

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE transactions on information forensics and security

Meta-Learning for Fast Classifier Adaptation to New Users of Signature Verification Systems


Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

SceneFormer: Indoor Scene Generation with Transformers

MIME: Human-Aware 3D Scene Generation

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic
  Furniture Embedding

COFS: Controllable Furniture layout Synthesis


The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'21) and MX-Font (ICCV'21).

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

Few-shot Font Generation with Weakly Supervised Localized
  Representations


A toolkit for working with piano rolls

Multitask learning for frame-level instrument recognition

A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning

Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation


Source Extractor Wrapper for Python

Physical Characterization of Near-Earth Asteroid (52768) 1998 OR2: Evidence of Shock Darkening/Impact Melt


Join Order Benchmark (JOB)

An End-to-End Learning-based Cost Estimator

Free Join: Unifying Worst-Case Optimal and Traditional Joins

Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering
  Algorithm Without Cardinality Estimates

Selectivity Estimation with Attribute Value Dependencies using Linked
  Bayesian Networks


Data augmentation for NLP, presented at EMNLP 2019

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

A Survey of Data Augmentation Approaches for NLP

Generative Data Augmentation for Commonsense Reasoning

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

A little goes a long way: Improving toxic language classification despite data scarcity

Consistency Training with Virtual Adversarial Discrete Perturbation

LINDA: Unsupervised Learning to Interpolate in Natural Language
  Processing

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification


LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios
  via Prompt Compression

Never Lost in the Middle: Improving Large Language Models via Attention
  Strengthening Question Answering


Public repo for Augmented Multiscale Deep InfoMax representation learning

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Learning Representations by Maximizing Mutual Information Across Views

Data-Efficient Image Recognition with Contrastive Predictive Coding

Revisiting Self-Supervised Visual Representation Learning

Fast AutoAugment

Neural Methods for Point-wise Dependency Estimation


Pytorch implementation of set transformer

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Hyperbolic Neural Networks

On The Adversarial Robustness of 3D Point Cloud Classification

On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks

Regularizing Towards Permutation Invariance in Recurrent Models

Adversarial Permutation Guided Node Representations for Link Prediction

Learning to Pool in Graph Neural Networks for Extrapolation

Learning Neural Set Functions Under the Optimal Subset Oracle


This is the public repository for eigenvector-based SALSA features for polyphonic sound event localization and detection.

SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection

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

DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection

What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis


The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Quantifying Memorization Across Neural Language Models

Deduplicating Training Data Mitigates Privacy Risks in Language Models

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Privacy Issues in Large Language Models: A Survey

Selective Forgetting: Advancing Machine Unlearning Techniques and
  Evaluation in Language Models


Visualization toolkit for neural networks in PyTorch! Demo -->

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Striving for Simplicity: The All Convolutional Net

One weird trick for parallelizing convolutional neural networks

Rethinking the Trigger of Backdoor Attack

Open-Set Text Recognition via Character-Context Decoupling

Towards automatic detection of wildlife trade using machine vision models


Pytorch Implementation of Google BERT

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

DexBERT: Effective, Task-Agnostic and Fine-grained Representation
  Learning of Android Bytecode


Python package to study microbial communities using metabolic modeling.

MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota

Computational Modeling of the Human Microbiome

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

Systems Biology of Gut Microbiota-Human Receptor Interactions: Toward Anti-inflammatory Probiotics

Enabling rational gut microbiome manipulations by understanding gut ecology through experimentally-evidenced in silico models


Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Preliminary Forensics Analysis of DeepFake Images

Latent Space Factorisation and Manipulation via Matrix Subspace Projection

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Transformers in Time Series: A Survey

PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series
  Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series
  Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced
  Transformer

Transformers versus LSTMs for electronic trading

Dateformer: Time-modeling Transformer for Longer-term Series Forecasting


Python3 bindings for the Compact Language Detector v3 (CLD3)

Geographically-Balanced Gigaword Corpora for 50 Language Varieties

HC4: A New Suite of Test Collections for Ad Hoc CLIR

Cultural Convergence: Insights into the behavior of misinformation networks on Twitter


MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

LawBench: Benchmarking Legal Knowledge of Large Language Models

Evaluating the Capability of Large-scale Language Models on Chinese
  Grammatical Error Correction Task

Mining Error Templates for Grammatical Error Correction

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation

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

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


[ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

MoStGAN-V: Video Generation with Temporal Motion Styles

StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation


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

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

International Conference on Computer Vision

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

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

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

Integrating Prior Knowledge in Contrastive Learning with Kernel

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


Conditional BERT Contextual Augmentation

Data Augmentation using Pre-trained Transformer Models

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

Effective Data Augmentation for Sentence Classification Using One VAE per Class

International Conference on Computational Linguistics

Feature-aware conditional GAN for category text generation


End-to-End Object Detection with Transformers

Deformable DETR: Deformable Transformers for End-to-End Object Detection

Image-Conditioned Graph Generation for Road Network Extraction

Relationformer: A Unified Framework for Image-to-Graph Generation

Relation Transformer Network


Collection of public available person re-identification datasets

Deep Learning for Person Re-identification: A Survey and Outlook

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Dual Branch Attention Network for Person Re-Identification


The RNA-binding protein AKAP8 suppresses tumor metastasis by antagonizing EMT-associated alternative splicing

Gain-of-function mutation of microRNA-140 in human skeletal dysplasia

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

RNA-binding protein MEX3A controls G1/S transition via regulating the RB/E2F pathway in clear cell renal cell carcinoma

Discovery and functional interrogation of SARS-CoV-2 protein-RNA interactions

Characterization of an RNA binding protein interactome reveals a context-specific post-transcriptional landscape of MYC-amplified medulloblastoma

clipplotr - a comparative visualisation and analysis tool for CLIP data

A phage nucleus-associated RNA-binding protein is required for jumbo phage infection

KHSRP combines transcriptional and posttranscriptional mechanisms to regulate monocytic differentiation


Learning to Cluster Faces (CVPR 2019, CVPR 2020)

Linkage Based Face Clustering via Graph Convolution Network

Learning to Cluster Faces on an Affinity Graph

Learning to Cluster Faces via Confidence and Connectivity Estimation

Learning to Cluster Faces via Transformer

Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data


Security Analysis tool for WebAssembly module (wasm) and Blockchain Smart Contracts (BTC/ETH/NEO/EOS)

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

International Conference on Software Engineering

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart
  Contracts at Webassembly-level

Security Analysis of EOSIO Smart Contracts

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures

Journal of systems and software/The Journal of systems and software

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media


normalize the intensities of various MR image modalities

Evaluating the Impact of Intensity Normalization on MR Image Synthesis

Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features

Harmonization Strategies in Multicenter MRI-Based Radiomics

Radiomics-Based Detection of Radionecrosis Using Harmonized Multiparametric MRI


On the detection of synthetic images generated by diffusion models


TGL: A General Framework for Temporal GNN Training on Billion-Scale
  Graphs

Do We Really Need Complicated Model Architectures For Temporal Networks?


An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.

Twitter Universal Dependency Parsing for African-American and Mainstream American English

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

A Systematic Study of Leveraging Subword Information for Learning Word Representations

From POS tagging to dependency parsing for biomedical event extraction

CEA LIST: Processing Low-Resource Languages for CoNLL 2018

Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices


A collection of pre-trained StyleGAN 2 models to download

FlexIT: Towards Flexible Semantic Image Translation

Disentangled Representations from Non-Disentangled Models

Principled Knowledge Extrapolation with GANs


Harmonization of multi-site imaging data with ComBat

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.

Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives

Korean journal of radiology/Korean Journal of Radiology

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies

Tumor grading of soft tissue sarcomas using MRI-based radiomics

Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients

European journal of nuclear medicine and molecular imaging

A comparison of methods to harmonize cortical thickness measurements across scanners and sites

Interactions between hippocampal activity and striatal dopamine in people at clinical high risk for psychosis: relationship to adverse outcomes

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology


Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data

Automated Brain Masking of Fetal Functional MRI with Open Data

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


Adversarially Learned Inference

Adversarially Learned Inference

Mode Regularized Generative Adversarial Networks

A Classification-Based Study of Covariate Shift in GAN Distributions

Generative Adversarial Parallelization

Semi-supervised image attribute editing using generative adversarial networks

A Classification-Based Perspective on GAN Distributions


Green Algorithms: Quantifying the carbon footprint of computation

The Carbon Footprint of Bioinformatics

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI


Code for the paper "Meta-Learning Shared Hierarchies"

Meta Learning Shared Hierarchies

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Multitask Soft Option Learning

Meta-Learning Parameterized Skills


Genome-wide assessment of differential translations with ribosome profiling data

LncRNA-Encoded Peptide: Functions and Predicting Methods

Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in Escherichia coli

基因组蛋白质组与生物信息学报

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


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

Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices

Anchor-based Plain Net for Mobile Image Super-Resolution

Collapsible Linear Blocks for Super-Efficient Super Resolution

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)

QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms


ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks

Lip-reading with Densely Connected Temporal Convolutional Networks

Training Strategies for Improved Lip-reading


Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

Is Conditional Generative Modeling all you need for Decision-Making?

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Diffusion Model is an Effective Planner and Data Synthesizer for
  Multi-Task Reinforcement Learning

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

Guided Flows for Generative Modeling and Decision Making

Diffusion World Model

Simple Hierarchical Planning with Diffusion

Efficient Planning with Latent Diffusion

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic
  Detection of Infeasible Plans


Unsupervised Feature Learning via Non-parametric Instance Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

A self-supervised domain-general learning framework for human ventral stream representation

Representation learning for clustering via building consensus


Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

BEiT: BERT Pre-Training of Image Transformers

Multi-Task Learning Framework for Emotion Recognition in-the-wild


Sorted A-Prolog with Consistency Restoring rules.

Syntactic Conditions for Antichain Property in Consistency Restoring Prolog

onlineSPARC: A Programming Environment for Answer Set Programming

Introducing Computer Science to High School Students Through Logic Programming

A Preliminary Data-driven Analysis of Common Errors Encountered by Novice SPARC Programmers


A tensorflow implementation of Knowledge Graph Convolutional Networks

Knowledge Graph Convolutional Networks for Recommender Systems

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

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation