USAD: UnSupervised Anomaly Detection on Multivariate Time Series

Generative Optimization Networks for Memory Efficient Data Generation

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding


[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Region-Adaptive Deformable Network for Image Quality Assessment

Comparing the robustness of modern no-reference image- and video-quality
  metrics to adversarial attacks


Learning-Based Coded Computation

Parity Models: Erasure-Coded Resilience for Prediction Serving Systems

Symposium on Operating Systems Principles

Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems


Machine Learning and Artificial Intelligence for Medicine.

PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees

International Conference on Learning Representations

GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

INVASE: Instance-wise Variable Selection using Neural Networks

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design

International Conference on Machine Learning

CTAB-GAN: Effective Table Data Synthesizing

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning

KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks

CASTLE: Regularization via Auxiliary Causal Graph Discovery


Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

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

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield
  but Also a Catalyst for Model Inversion Attacks


Spike sorter for electrophysiology data

Flexible timing by temporal scaling of cortical responses

The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type

Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1

Cortical preparatory activity indexes learned motor memories

Reinforcement regulates timing variability in thalamus


Toolkit for evolutionary analyses of linkage groups

Chromosome fissions and fusions act as barriers to gene flow betweenBrenthisfritillary butterflies

Do chromosome rearrangements fix by genetic drift or natural selection? A test inBrenthisbutterflies

Inferring inter-chromosomal rearrangements and ancestral linkage groups from synteny


Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID


Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Continual Learning In Environments With Polynomial Mixing Times

Evaluating Continual Learning on a Home Robot

Self-Activating Neural Ensembles for Continual Reinforcement Learning


A pipeline for identifying indel derived neoantigens using RNA-Seq data

ScanNeo: identifying indel-derived neoantigens using RNA-Seq data

Main Strategies for the Identification of Neoantigens

Integration of Omics Data Sources to Inform Mechanistic Modeling of Immune-Oncology Therapies: A Tutorial for Clinical Pharmacologists

Computational cancer neoantigen prediction: current status and recent advances

Protecting Tumors by Preventing Human Papilloma Virus Antigen Presentation: Insights from Emerging Bioinformatics Algorithms

Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo


Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Explainable AI Algorithms for Vibration Data-Based Fault Detection: Use Case-Adadpted Methods and Critical Evaluation

Improving Accuracy and Explainability of Online Handwriting Recognition


The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

Interpreting Language Models with Contrastive Explanations

Survey on Publicly Available Sinhala Natural Language Processing Tools
  and Research

How BPE Affects Memorization in Transformers

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021

Domain-Specific Text Generation for Machine Translation

Democratizing Neural Machine Translation with OPUS-MT

Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models


Evaluation toolbox for Sound Event Detection

Peer Collaborative Learning for Polyphonic Sound Event Detection


Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

Isprs Journal of Photogrammetry and Remote Sensing

Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2

Remote Sensing Big Data Classification with High Performance Distributed Deep Learning

Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution

IEEE journal of selected topics in applied earth observations and remote sensing


Creative Commons Attribution 4.0 International

Room-across-Room (RxR) is a large-scale, multilingual dataset for Vision-and-Language Navigation (VLN) in Matterport3D environments. It contains 126k navigation instructions in English, Hindi and Telugu, and 126k navigation following demonstrations. Both annotation types include dense spatiotemporal alignments between the text and the visual perceptions of the annotators

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

On Evaluation of Embodied Navigation Agents

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

Less is More: Generating Grounded Navigation Instructions from Landmarks

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning


A Matlab/Octave toolbox for stochastic Galerkin methods

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format

Computation of the Response Surface in the Tensor Train data format

T-IFISS: a toolbox for adaptive FEM computation

Partial inversion of the elliptic operator to speed up computation of
  likelihood in Bayesian inference

Comparing theory based and higher-order reduced models for fusion simulation data

Post-Processing of High-Dimensional Data


Regression-based annotation of protein-coding sequences from ribosome profiling data

The translatome of neuronal cell bodies, dendrites, and axons

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

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

Small Open Reading Frame-Encoded Micro-Peptides: An Emerging Protein World

International journal of molecular sciences


Tools for the analysis of structural variation in genomes

Telomere-to-telomere assembly of a complete human X chromosome

Towards population-scale long-read sequencing

Benchmarking challenging small variants with linked and long reads

A crowdsourced set of curated structural variants for the human genome


Speaker embedding (d-vector) trained with GE2E loss

Generalized End-to-End Loss for Speaker Verification

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

JTubeSpeech: corpus of Japanese speech collected from YouTube for speech
  recognition and speaker verification

MediumVC: Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features

Back Translation for Speech-to-text Translation Without Transcripts

DASpeech: Directed Acyclic Transformer for Fast and High-quality
  Speech-to-Speech Translation


Preprocesses and Aligns Run-On Sequencing (PRO/GRO/ChRO-seq) data from Single-Read or Paired-End Illumina Sequencing

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

RNA Pol II pausing facilitates phased pluripotency transitions by buffering transcription

Identification and prediction of developmental enhancers in sea urchin embryos

Genetic Dissection of the RNA Polymerase II Transcription Cycle

Chromatin run-on sequencing analysis finds that ECM remodeling plays an important role in canine hemangiosarcoma pathogenesis

Evolution of promoter-proximal pausing enabled a new layer of transcription control


A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

On the Stability-Plasticity Dilemma of Class-Incremental Learning

Insights from the Future for Continual Learning

CL2R: Compatible Lifelong Learning Representations

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications


Can we use Planet high-resolution imagery and machine learning to assess snow cover?


The Galaxy Cluster ‘Pypeline’ for X-ray Temperature Maps

An X-ray and radio study of the Hubble Frontier Field cluster Abell S1063

Monthly Notices of the Royal Astronomical Society

LOFAR detection of a low-power radio halo in the galaxy cluster Abell 990

Monthly notices of the Royal Astronomical Society

P.037 Recurrency in mood disorders is related to bipolar course: pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts

On the origin of diffuse radio emission in Abell 85 – insights from new GMRT observations

Probing the Origin of Diffuse Radio Emission in the Cool Core of the Phoenix Galaxy Cluster

Simulating nearly edge-on sloshing in the galaxy cluster Abell 2199


Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals

Variational Dropout via Empirical Bayes

Bayesian Sparsification Methods for Deep Complex-valued Networks


The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

Image Matching Across Wide Baselines: From Paper to Practice

International journal of computer vision

MAGSAC: marginalizing sample consensus

MAGSAC++, a fast, reliable and accurate robust estimator

Marginalizing Sample Consensus

IEEE transactions on pattern analysis and machine intelligence

VSAC: Efficient and Accurate Estimator for H and F

NeFSAC: Neurally Filtered Minimal Samples

Generalized Differentiable RANSAC

Space-Partitioning RANSAC

USACv20: robust essential, fundamental and homography matrix estimation

Consensus-Adaptive RANSAC


Urban Multi-scale Environmental Predictor


REMoving Bias from Rna-seq ANalysis of Differential Transcript Stability

Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease

The role of the NMD factor UPF3B in olfactory sensory neurons

SMG6 localizes to the chromatoid body and shapes the male germ cell transcriptome to drive spermatogenesis

Alterations in oligodendrocyte transcriptional networks reveal region-specific vulnerabilities to neurological disease


FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

Perceptual Video Super Resolution with Enhanced Temporal Consistency

Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback

Differentiable Visual Computing

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


A PyTorch library for two-sample tests

Generating Multivariate Load States Using a Conditional Variational
  Autoencoder

GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences


Calculate genome wide average nucleotide identity (gwANI) for a multiFASTA alignment

Isolation and Characterization of Two Klebsiella pneumoniae Phages Encoding Divergent Depolymerases

Isolation of Four Lytic Phages Infecting Klebsiella pneumoniae K22 Clinical Isolates from Spain

Cucumber Mosaic Virus-Induced Systemic Necrosis in Arabidopsis thaliana: Determinants and Role in Plant Defense


Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

No Reason for No Supervision: Improved Generalization in Supervised Models

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data

Cold PAWS: Unsupervised class discovery and addressing the cold-start
  problem for semi-supervised learning


A technical report on convolution arithmetic in the context of deep learning

A guide to convolution arithmetic for deep learning

CASI: A Convolutional Neural Network Approach for Shell Identification

Braille Recognition for Reducing Asymmetric Communication between the Blind and Non-Blind

SCN: A Novel Shape Classification Algorithm Based on Convolutional Neural Network

Master's Thesis : Deep Learning for Visual Recognition

Representation Learning for Content-Sensitive Anomaly Detection in
  Industrial Networks


Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Mixed-Supervised Dual-Network for Medical Image Segmentation

Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image


a lightweight bam file depth statistical tool

Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly

Whole Genome Assembly of Human Papillomavirus by Nanopore Long-Read Sequencing

Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing

The Canadian journal of infectious diseases & medical microbiology/Canadian journal of infectious diseases & medical microbiology

Cytogenetic identification and molecular marker development of a novel wheat-Leymus mollis 4Ns(4D) alien disomic substitution line with resistance to stripe rust and Fusarium head blight

Analysis of pangolin metagenomic datasets reveals significant
  contamination, raising concerns for pangolin CoV host attribution

Detecting and monitoring bladder cancer with exfoliated cells in urine

Genomic Diversity Illuminates the Environmental Adaptation of Drosophila suzukii

bioRxiv : the preprint server for biology

ViralFlow: an automated workflow for SARS-CoV-2 genome assembly, lineage assignment, mutations and intrahost variants detection


memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

MetaCache: context-aware classification of metagenomic reads using minhashing

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

MetaCache-GPU: Ultra-Fast Metagenomic Classification


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


Soil-Vegetation-Atmosphere Transfer (SVAT) model


The official implementation of the Molecule Attention Transformer.

Molecule Attention Transformer

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning
  for Graph Transformer Networks

Substructure-Atom Cross Attention for Molecular Representation Learning


Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

HUI-Audio-Corpus-German: A high quality TTS dataset

Automatic Speech Recognition in German: A Detailed Error Analysis

Thorsten - Open German Voice (Neutral) Dataset

Zenodo (CERN European Organization for Nuclear Research)


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

Multiple-Attribute Text Style Transfer

Deep Learning for Text Style Transfer: A Survey

Style Transfer as Unsupervised Machine Translation

Explaining The Efficacy of Counterfactually Augmented Data

Text Style Transfer: A Review and Experimental Evaluation

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

Composable Text Controls in Latent Space with ODEs

Text Style Transfer with Contrastive Transfer Pattern Mining

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

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


Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed features

Multigenic resistance to Xylella fastidiosa in wild grapes (Vitis sps.) and its implications within a changing climate

Insight into the Possible Formation Mechanism of the Intersex Phenotype of Lanzhou Fat-Tailed Sheep Using Whole-Genome Resequencing

Animals : an open access journal from MDPI

InDel and CNV within the AKAP13 Gene Revealing Strong Associations with Growth Traits in Goat


Implementation of TRPO and related algorithms

Emergence of Locomotion Behaviours in Rich Environments

Trust-PCL: An Off-Policy Trust Region Method for Continuous Control

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

How to Make Deep RL Work in Practice

Optimizing ZX-Diagrams with Deep Reinforcement Learning


Concept Bottleneck Models, ICML 2020

Concept Bottleneck Models

Now You See Me (CME): Concept-based Model Extraction

Concept Bottleneck Model with Additional Unsupervised Concepts


Community Codec Repository

Bit Grooming: statistically accurate precision-preserving quantization with compression, evaluated in the netCDF Operators (NCO, v4.4.8+)

Evaluation of lossless and lossy algorithms for the compression of
scientific datasets in NetCDF-4 or HDF5 formatted files

A note on precision-preserving compression of scientific data


Image processing software for CODEX: driftcompensation, deconvolution, uploading and segmentation

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments

Organization of the human intestine at single-cell resolution

Computational Methods for Single-Cell Proteomics

Annual review of biomedical data science


OpenIE6 system

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue

Syntactic Multi-view Learning for Open Information Extraction

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models


BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Universal Sentence Encoder

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

MedSTS: A Resource for Clinical Semantic Textual Similarity

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

Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification

Journal of the American Medical Informatics Association : JAMIA

How can natural language processing help model informed drug development?: a review

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings

PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)


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

High-Resolution Representations for Labeling Pixels and Regions

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

OpenScene: 3D Scene Understanding with Open Vocabularies


Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

IEEE journal of selected topics in signal processing

Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


Distilling Knowledge via Knowledge Review, CVPR 2021

Knowledge Distillation via the Target-aware Transformer

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression

DistPro: Searching A Fast Knowledge Distillation Process via Meta
  Optimization


Variational Adversarial Active Learning (ICCV 2019)

Variational Adversarial Active Learning

Graceful Degradation and Related Fields

Data-Efficient Learning via Minimizing Hyperspherical Energy


Official PyTorch implementation of Contrastive Learning of Musical Representations

Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning

Proceedings of the 16th ACM Conference on Recommender Systems


HRLDAS (High Resolution Land Data Assimilation System) containing the Noah-MP Land Surface Model

Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model

Modeling groundwater responses to climate change in the Prairie Pothole Region

A framework for quantifying hydrologic effects of soil structure across scales


Implementation of Convolutional LSTM in PyTorch.

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Latent State Inference in a Spatiotemporal Generative Model

A Probabilistic Time-Evolving Approach to Scanpath Prediction


An awesome PyTorch NeRF library

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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

Plenoxels: Radiance Fields without Neural Networks

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

NeRF++: Analyzing and Improving Neural Radiance Fields

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

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

Nerfstudio: A Modular Framework for Neural Radiance Field Development


Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Robust log-based anomaly detection on unstable log data

Proceedings of the 44th International Conference on Software Engineering

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection


The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

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

Disentangled Representations from Non-Disentangled Models

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model


An open source drift diffusion code based in MATLAB for simulating semiconductor devices with mixed ionic-electronic conducting materials.

Ionic-to-electronic current amplification in hybrid perovskite solar cells: ionically gated transistor-interface circuit model explains hysteresis and impedance of mixed conducting devices

Identifying Dominant Recombination Mechanisms in Perovskite Solar Cells by Measuring the Transient Ideality Factor

Dynamics of Internal Electric Field Screening in Hybrid Perovskite Solar Cells Probed Using Electroabsorption

Correction to: Driftfusion: an open source code for simulating ordered semiconductor devices with mixed ionic-electronic conducting materials in one dimension

Ionic Field Screening in MAPbBr3 Crystals Revealed from Remnant Sensitivity in X-ray Detection

Is it possible for a perovskite p-n homojunction to persist in the presence of mobile ionic charge?


Fast method for inferring cancer clonal population structure from SNV data.

PyClone-VI: scalable inference of clonal population structures using whole genome data

Multi-region exome sequencing reveals the intratumoral heterogeneity of surgically resected small cell lung cancer

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

Evolutionary histories of breast cancer and related clones

Accurate determination of CRISPR-mediated gene fitness in transplantable tumours


Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration

Visual Compositional Learning for Human-Object Interaction Detection

Affordance Transfer Learning for Human-Object Interaction Detection

Detecting Human-Object Interaction via Fabricated Compositional Learning

Discovering Human-Object Interaction Concepts via Self-Compositional Learning


Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization


LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.

Electronic health record-based genome-wide meta-analysis provides insights on the genetic architecture of non-alcoholic fatty liver disease

GALC variants affect galactosylceramidase enzymatic activity and risk of Parkinson’s disease

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

Blood cell traits’ GWAS loci colocalization with variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants

A Trans-Omic Mendelian Randomization Study of Parental Lifespan Uncovers Novel Aging Biology and Drug Candidates for Human Healthspan Extension

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot
  Speech and Singing Synthesizers

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec
  Language Modeling

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive
  Bias

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from
  Style-Based TTS Models

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

Voice Conversion With Just Nearest Neighbors

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion

MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech


Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

OpenKE: An Open Toolkit for Knowledge Embedding

Empirical Methods in Natural Language Processing

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Global RDF Vector Space Embeddings

Knowledge Graph Embedding with Hierarchical Relation Structure

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

Knowledge-guided convolutional networks for chemical-disease relation extraction

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

Efficient Parallel Translating Embedding For Knowledge Graphs

Proceedings of the International Conference on Web Intelligence


A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

A Modern Primer on Processing in Memory

Near-Memory Computing: Past, Present, and Future

WoLFRaM: Enhancing Wear-Leveling and Fault Tolerance in Resistive Memories using Programmable Address Decoders

NMPO: Near-Memory Computing Profiling and Offloading

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


A python package for computing distance between 2D trajectories.

Review and Perspective for Distance Based Trajectory Clustering

Deep generative modelling of aircraft trajectories in terminal maneuvering areas


Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference

Data-Driven Neuron Allocation for Scale Aggregation Networks

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks

Pruning Very Deep Neural Network Channels for Efficient Inference


(m)6A (I)dentification Using (N)anopor(E) (S)equencing

Detection of m6A from direct RNA sequencing using a multiple instance learning framework

Full-Length Transcriptome of the Whale Shark (Rhincodon typus) Facilitates the Genome Information

Analysis approaches for the identification and prediction of N6-methyladenosine sites


Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

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

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

A General-Purpose Self-Supervised Model for Computational Pathology

CellViT: Vision Transformers for Precise Cell Segmentation and
  Classification

Automatic Report Generation for Histopathology images using pre-trained
  Vision Transformers and BERT


AI Super - Resolution

Enhanced Deep Residual Networks for Single Image Super-Resolution

Accelerating the Super-Resolution Convolutional Neural Network

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks


Convolutional 2D Knowledge Graph Embeddings resources

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Commonsense Knowledge Base Completion with Structural and Semantic Context

Adaptive Convolution for Multi-Relational Learning

North American Chapter of the Association for Computational Linguistics

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

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

Incorporating Literals into Knowledge Graph Embeddings

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS


A simple and effective LLM pruning approach.

A Simple and Effective Pruning Approach for Large Language Models

Compressing LLMs: The Truth is Rarely Pure and Never Simple

Beyond Size: How Gradients Shape Pruning Decisions in Large Language
  Models


FFT cross-correlation based synteny aligner, (re)designed to make full use of parallel computing

Genetic and Genomic Analyses Reveal Boundaries between Species Closely Related to Cryptococcus Pathogens

halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments

Chromosome-level genome assembly of the Colorado potato beetle, Leptinotarsa decemlineata

Low Mutation Load in a Supergene Underpinning Alternative Male Mating Strategies in Ruff (Calidris pugnax)


Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Deep Learning with Differential Privacy

Federated Learning: Challenges, Methods, and Future Directions

FLOP: Federated Learning on Medical Datasets using Partial Networks

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs

An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

IEEE transactions on information forensics and security

Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources

Federated Transfer Learning with Multimodal Data


[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

MOTR: End-to-End Multiple-Object Tracking with Transformer

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors


Amplicon sequence processing workflow using QIIME 2 and Snakemake

MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

DADA2: High-resolution sample inference from Illumina amplicon data

VSEARCH: a versatile open source tool for metagenomics

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

UniFrac: an effective distance metric for microbial community comparison

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences

Methods in molecular biology (Clifton, N.J.)

EMPeror: a tool for visualizing high-throughput microbial community data

A Novel Sparse Compositional Technique Reveals Microbial Perturbations

OD-seq: outlier detection in multiple sequence alignments


InceptionTime: Finding AlexNet for Time Series Classification

InceptionTime: Finding AlexNet for time series classification

Time Series Extrinsic Regression

Deep learning for time series classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

Towards Similarity-Aware Time-Series Classification

Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning

NITROGEN CONCENTRATIONS AND ISOTOPIC COMPOSITIONS OF ALTERED TERRESTRIAL GLASSY BASALTIC ROCKS, AND IMPLICATIONS FOR ASTROBIOLOGY

Quantifying quality of class-conditional generative models in time series domain


Official implementation of Adabins: Depth Estimation using adaptive bins

AdaBins: Depth Estimation using Adaptive Bins

MonoScene: Monocular 3D Semantic Scene Completion

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

On the Pitfalls of Heteroscedastic Uncertainty Estimation with
  Probabilistic Neural Networks

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

Monocular Depth Estimation: a Review of the 2022 State of the Art


Dense Prediction Transformers

Vision Transformers for Dense Prediction

Adversarial Bi-Regressor Network for Domain Adaptive Regression

Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

PERF: Panoramic Neural Radiance Field from a Single Panorama

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields


[CVPR 2021] Self-supervised depth estimation from short sequences

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

M4Depth: Monocular depth estimation for autonomous vehicles in unseen
  environments

SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth
  Estimation with Learnable Patchmatch


Interactive Cytometry Data Analysis

mRNA vaccine-induced T cells respond identically to SARS-CoV-2 variants of concern but differ in longevity and homing properties depending on prior infection status

Oligodendrocyte precursor cells engulf synapses during circuit remodeling in mice

The extracellular domain of site-2-metalloprotease RseP is important for sensitivity to bacteriocin EntK1

Cytokinetic diversity in mammalian cells is revealed by the characterization of endogenous anillin, Ect2 and RhoA

macroH2A2 antagonizes epigenetic programs of stemness in glioblastoma


Code for using and evaluating SpanBERT.

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Decontextualization: Making Sentences Stand-Alone

The Role of Context in Detecting Previously Fact-Checked Claims

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Span-Based Event Coreference Resolution

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

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

Constrained Multi-Task Learning for Event Coreference Resolution

Generative Prompt Tuning for Relation Classification

Do Question Answering Modeling Improvements Hold Across Benchmarks?

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


An R package for microbial community analysis in an environmental context

CFTR dysregulation drives active selection of the gut microbiome

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Differential Profiles of Gut Microbiota and Metabolites Associated with Host Shift of Plutella xylostella

International journal of molecular sciences

Bacteriome and mycobiome and bacteriome-mycobiome interactions in head and neck squamous cell carcinoma

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

Closely Located but Totally Distinct: Highly Contrasting Prokaryotic Diversity Patterns in Raised Bogs and Eutrophic Fens

Gut microbial trimethylamine is elevated in alcohol-associated hepatitis and contributes to ethanol-induced liver injury in mice

Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients

Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort

Landscape Composition and Soil Physical–Chemical Properties Drive the Assemblages of Bacteria and Fungi in Conventional Vegetable Fields


EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning

Effect of RSU Placement on Autonomous Vehicle V2I Scenarios

Balkan journal of electrical & computer engineering


Fast and accurate de novo assembler for long reads

High-quality Arabidopsis thaliana Genome Assembly with Nanopore and HiFi Long Reads

基因组蛋白质组与生物信息学报

The genome of Prasinoderma coloniale unveils the existence of a third phylum within green plants

A General Model to Explain Repeated Turnovers of Sex Determination in the Salicaceae

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

The genome of Cymbidium sinense revealed the evolution of orchid traits

Evolutionary history and pan-genome dynamics of strawberry (Fragaria spp.)

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

Genomic basis of homoploid hybrid speciation within chestnut trees

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

Assembling the perfect bacterial genome using Oxford Nanopore and Illumina sequencing

Reshuffling of the ancestral core-eudicot genome shaped chromatin topology and epigenetic modification in Panax


CancerSCEM: a database of single-cell expression map across various human cancers

Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis

Protocol for identifying immune checkpoint on circulating tumor cells of human pancreatic ductal adenocarcinoma by single-cell RNA sequencing


MCScanX: Multiple Collinearity Scan toolkit X version. The most popular synteny analysis tool in the world!

De novo genome assembly of the potent medicinal plant Rehmannia glutinosa using nanopore technology

Computational and structural biotechnology journal

Generation of a chromosome-scale genome assembly of the insect-repellent terpenoid-producing Lamiaceae species, Callicarpa americana

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology

Comprehensive Comparative Analysis of the GATA Transcription Factors in Four Rosaceae Species and Phytohormonal Response in Chinese Pear (Pyrus bretschneideri) Fruit

The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

Genome-Wide Identification and Analysis of the NAC Transcription Factor Gene Family in Garden Asparagus (Asparagus officinalis)

Interspecies Evolution and Networks Investigation of the Auxin Response Protein (AUX/IAA) Family Reveals the Adaptation Mechanisms of Halophytes Crops in Nitrogen Starvation Agroecological Environments

Genome-wide identification and expression pattern analysis of lipoxygenase gene family in turnip (Brassica rapa L. subsp. rapa)

Genome-Wide Identification, Evolution and Expression Analysis of the Glutathione S-Transferase Supergene Family in Euphorbiaceae


Karras et al. (2022) diffusion models for PyTorch

Elucidating the Design Space of Diffusion-Based Generative Models

Directed Diffusion: Direct Control of Object Placement through Attention
  Guidance

DreamSim: Learning New Dimensions of Human Visual Similarity using
  Synthetic Data

PC-Droid: Faster diffusion and improved quality for particle cloud
  generation

A Reproducible Extraction of Training Images from Diffusion Models

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass
  Diffusion Transformers

Sampler Scheduler for Diffusion Models

Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance


A Collection of Variational Autoencoders (VAE) in PyTorch.

Auto-Encoding Variational Bayes

Categorical Reparameterization with Gumbel-Softmax

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Neural Discrete Representation Learning

Importance Weighted Autoencoders

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Wasserstein Auto-Encoders

Understanding disentangling in β-VAE

InfoVAE: Information Maximizing Variational Autoencoders

Deep Feature Consistent Variational Autoencoder


Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

Depth-supervised NeRF: Fewer Views and Faster Training for Free

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

Dynamic Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images


SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral)

Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks

International journal of computer vision

SOTVerse: A User-defined Task Space of Single Object Tracking


nnFormer: Interleaved Transformer for Volumetric Segmentation

TransMorph: Transformer for unsupervised medical image registration

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation


RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories

Deep Equilibrium Optical Flow Estimation

Consistent View Synthesis with Pose-Guided Diffusion Models

Imposing Consistency for Optical Flow Estimation

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

360 Optical Flow using Tangent Images

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

On the Sensory Commutativity of Action Sequences for Embodied Agents

DefCor-Net: Physics-Aware Ultrasound Deformation Correction


PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

A Practical Contrastive Learning Framework for Single-Image Super-Resolution

Texture Hallucination for Large-Factor Painting Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution.

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

One-to-One Mapping-Like Properties of DCN-Based Super-Resolution and its Applicability to Real-World Images


开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Real-Time Face Mask Detection Method Based on YOLOv3

RetinaFaceMask: A Single Stage Face Mask Detector for Assisting Control of the COVID-19 Pandemic

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE transactions on artificial intelligence

An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection

Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

AI Based Monitoring of Different Risk Levels in COVID-19 Context

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

Detection of a facemask in real-time using deep learning methods:
  Prevention of Covid 19

Comparative Analysis of Convolutional Neural Network Architectures for Real Time COVID-19 Facial Mask Detection


AdaFace: Quality Adaptive Margin for Face Recognition

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models

Impact of Blur and Resolution on Demographic Disparities in 1-to-Many
  Facial Identification

Our Deep CNN Face Matchers Have Developed Achromatopsia


PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

When and why vision-language models behave like bags-of-words, and what
  to do about it?

Language Models with Image Descriptors are Strong Few-Shot
  Video-Language Learners

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Multimodal Procedural Planning via Dual Text-Image Prompting

Large Language Models are Visual Reasoning Coordinators

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Prompt Stealing Attacks Against Text-to-Image Generation Models


Faster R-CNN

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

Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

Adaptive Object Detection Using Adjacency and Zoom Prediction

Applications of deep-learning approaches in horticultural research: a review

Sequential Optimization for Efficient High-Quality Object Proposal Generation

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista iberoamericana de automática e informática industrial

Object proposal with kernelized partial ranking


Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Ego4D: Around the World in 3,000 Hours of Egocentric Video

A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

Surgical Data Science -- from Concepts toward Clinical Translation

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

Tracking Pedestrian Heads in Dense Crowd

Grape Bunch Detection at Different Growth Stages Using Deep Learning Quantized Models

RDD2022: A multi-national image dataset for automatic Road Damage
  Detection

Open Images V5 Text Annotation and Yet Another Mask Text Spotter


Python interface for a 2D optimal transport / Monge Ampère solver using Laguerre diagrams

Convergence of a Newton algorithm for semi-discrete optimal transport

A Lagrangian Scheme à la Brenier for the Incompressible Euler Equations

Second-Order Models for Optimal Transport and Cubic Splines on the Wasserstein Space

Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures


[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Self-Supervised Monocular Depth Hints

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

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


MAGRATHEA: an open-source spherical symmetric planet interior structure code

Monthly Notices of the Royal Astronomical Society

Confirming the 3:2 Resonance Chain of K2-138

Implications of an improved water equation of state for water-rich planets

Monthly notices of the Royal Astronomical Society

Composition constraints of the TRAPPIST-1 planets from their formation


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


Causal discovery algorithms and tools for implementing new ones

Bayesian Structure Learning by Recursive Bootstrap

From Temporal to Contemporaneous Iterative Causal Discovery in the
  Presence of Latent Confounders


Port of Aleph to SWI-Prolog

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

White-box Induction From SVM Models: Explainable AI with Logic Programming

Fanoos: Multi-resolution, Multi-strength, Interactive Explanations for Learned Systems

Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models


Canonical repository for the Disconnect services file

Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors

Under the Spotlight: Web Tracking in Indian Partisan News Websites

There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage.


Mapping of OPENQASM programs to IBM QX satisfying the architectural constraints

t|ket⟩: a retargetable compiler for NISQ devices

On the qubit routing problem

Theory of Quantum Computation, Communication, and Cryptography

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

Efficient quantum gate decomposition via adaptive circuit compression

Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices

String Abstractions for Qubit Mapping

Development of a multi-technology, template-based quantum circuits compilation toolchain


A prize for finding tasks that cause large language models to show inverse scaling

Emergent Abilities of Large Language Models

A Survey on In-context Learning

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Retrieval-Augmented Generation for Large Language Models: A Survey

Model evaluation for extreme risks

Inverse Scaling: When Bigger Isn't Better

Inverse scaling can become U-shaped

The Larger They Are, the Harder They Fail: Language Models do not
  Recognize Identifier Swaps in Python

Uncontrolled Lexical Exposure Leads to Overestimation of Compositional
  Generalization in Pretrained Models

Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding


Deconvolution of calcium imaging data

Qualitative Treatment of Contact Problems – Normal Contact without Adhesion

Fast Nonconvex Deconvolution of Calcium Imaging Data

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons

Prefrontal cortical regulation of REM sleep

Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of geophysical research. Earth surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

The Open Global Glacier Model (OGGM) v1.1

Modelling distributed and channelized subglacial drainage: the spacing of channels

Journal of Glaciology/Journal of glaciology

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


A Python toolkit for (simulation-based) inference and the mechanization of science.

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

Benchmarking Simulation-Based Inference

Error-guided likelihood-free MCMC


ERKALE -- HF/DFT from Hel

Open source molecular modeling

Journal of molecular graphics & modelling/Journal of molecular graphics and modelling

Fully numerical Hartree‐Fock and density functional calculations. II. Diatomic molecules

International journal of quantum chemistry

Fully numerical electronic structure calculations on diatomic molecules in weak to strong magnetic fields

Orbital optimisation in the perfect pairing hierarchy: applications to full-valence calculations on linear polyacenes

Meta-GGA density functional calculations on atoms with spherically
  symmetric densities in the finite element formalism

On the Estimation of the Molecular Inaccessible Volume and the Molecular Accessible Surface of a Ligand in Protein Ligand Systems


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

Bilevel Optimization: Convergence Analysis and Enhanced Design

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

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

On the Convergence Theory for Hessian-Free Bilevel Algorithms


Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Towards Impartial Multi-task Learning


Implementation of papers in 100 lines of code.

Adam: A Method for Stochastic Optimization

Generative Adversarial Networks

Auto-Encoding Variational Bayes

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Playing Atari with Deep Reinforcement Learning

Conditional Generative Adversarial Nets

Improved Techniques for Training GANs

Denoising Diffusion Probabilistic Models

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

On the Effectiveness of Least Squares Generative Adversarial Networks


This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

Convergence Analysis for Anderson Acceleration

Numerical methods for nonlinear equations

A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations


HIPP: Modern C++ Toolkit for HPC

MAHGIC: a Model Adapter for the Halo–Galaxy Inter-Connection

Finding protoclusters to trace galaxy evolution - I. The finder and its performance


Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory

Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability

Impedance-Based Root-Cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity

Mapping of Dynamics Between Mechanical and Electrical Ports in SG-IBR Composite Grids

The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability

Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power
  Systems


An exoplanet transit, radial velocity, astrometry, and stellar fitting software package in IDL

HD 202772A b: A Transiting Hot Jupiter around a Bright, Mildly Evolved Star in a Visual Binary Discovered by TESS

EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code

Precise Masses in the WASP-47 System

A super-Earth and a sub-Neptune orbiting the bright, quiet M3 dwarf TOI-1266

TESS hunt for young and maturing exoplanets (THYME). IV. Three small planets orbiting a 120 Myr old star in the pisces-eridanus stream

Transits of Known Planets Orbiting a Naked-eye Star

High-resolution detection of neutral oxygen and non-LTE effects in the atmosphere of KELT-9b

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

TOI 564 b and TOI 905 b: Grazing and Fully Transiting Hot Jupiters Discovered by TESS

A warm super-Neptune around the G-dwarf star TOI-1710 revealed with TESS, SOPHIE, and HARPS-N


A tool for text normalisation via character-level machine translation

A Large-Scale Comparison of Historical Text Normalization Systems

North American Chapter of the Association for Computational Linguistics

Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text

Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing

Dialect-to-Standard Normalization: A Large-Scale Multilingual Evaluation

Findings of the Association for Computational Linguistics: EMNLP 2023

A corpus-based study of 16th-century Slovene clitics and clitic-like elements

Slovenski jezik - Slovene linguistic studies


Source code and data for The Economist's covid-19 excess deaths tracker

Forecasting: theory and practice

COVID-19 Vaccination Scenarios: A Cost-Effectiveness Analysis for Turkey

Tracking GDP in real-time using electricity market data: insights from the first wave of COVID-19 across Europe

Estimating the case fatality ratio for COVID-19 using a time-shifted distribution analysis

On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission

Vaccine hesitancy strongly correlates with COVID-19 deaths underreporting


[DEPRECATED]  An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

Principles and Practice of Explainable Machine Learning

Interpreting tree ensembles with inTrees

GENESIM: genetic extraction of a single, interpretable model


[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


SoftMC is an experimental FPGA-based memory controller design that can be used to develop tests for DDR3 SODIMMs using a C++ based API. The design, the interface, and its capabilities and limitations are discussed in our HPCA 2017 paper: "SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies" <https://people.inf.ethz.ch/omutlu/pub/softMC_hpca17.pdf>

Retrospective: Flipping Bits in Memory Without Accessing Them: An
  Experimental Study of DRAM Disturbance Errors

Processing Data Where It Makes Sense: Enabling In-Memory Computation

RowHammer: A Retrospective

TRRespass: Exploiting the Many Sides of Target Row Refresh

A Modern Primer on Processing in Memory

Retrospective: An Experimental Study of Data Retention Behavior in
  Modern DRAM Devices: Implications for Retention Time Profiling Mechanisms

What Your DRAM Power Models Are Not Telling You

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms,
  Future Research Directions


EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

Transformers: State-of-the-Art Natural Language Processing

SentEval: An Evaluation Toolkit for Universal Sentence Representations

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models


Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)

From Play to Policy: Conditional Behavior Generation from Uncurated
  Robot Data

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  f-Advantage Regression

Swapped goal-conditioned offline reinforcement learning

Learning to Reach Goals via Diffusion


Heterogeneity through discriminative analysis

Probing the clinical and brain structural boundaries of bipolar and major depressive disorder

Transdiagnostic subtyping of males with developmental disorders using cortical characteristics

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Accelerated Global and Local Brain Aging Differentiate Cognitively Impaired From Cognitively Spared Patients With Schizophrenia

Neuroimaging profiling identifies distinct brain maturational subtypes of youth with mood and anxiety disorders


This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and
  Rethinking

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization

Efficient GNN Explanation via Learning Removal-based Attribution


Pymol ScrIpt COllection (PSICO)

A distal regulatory region of a class I human histone deacetylase

Biomolecular Fluorescence Complementation Profiling and Artificial Intelligence Structure Prediction of the Kaposi’s Sarcoma-Associated Herpesvirus ORF18 and ORF30 Interaction

International journal of molecular sciences


A semi-analytical satellite galaxy and dark matter halo generator

SatGen: a semi-analytical satellite galaxy generator – I. The model and its application to Local-Group satellite statistics

The tidal evolution of dark matter substructure – II. The impact of artificial disruption on subhalo mass functions and radial profiles

SMBH seeds from dissipative dark matter

Journal of Cosmology and Astroparticle Physics

SatGen -- II. Assessing the impact of a disc potential on subhalo populations

Core formation in high-z massive haloes: heating by post-compaction satellites and response to AGN outflows

ELVES. IV. The Satellite Stellar-to-halo Mass Relation Beyond the Milky Way

Dynamics of stellar disc tilting from satellite mergers


2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence

Fractional ridge regression: a fast, interpretable reparameterization of ridge regression

A Comparison of Machine Learning Methods for Data Imputation

Hellenic Conference on Artificial Intelligence


Deep Planning Network: Control from pixels by latent planning with learned dynamics

Learning Latent Dynamics for Planning from Pixels

Multimodal dynamics modeling for off-road autonomous vehicles

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning

Joint Embedding Predictive Architectures Focus on Slow Features

Gradient-based Planning with World Models


Image sequence annotator

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

DepthTrack : Unveiling the Power of RGBD Tracking

ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data


SciRepEval benchmark training and evaluation scripts

The Semantic Scholar Open Data Platform

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding


ICHEC Quantum natural language processing (QNLP) toolkit

Mathematical Foundations for a Compositional Distributional Model of Meaning

Quantum Algorithms for Compositional Natural Language Processing

A hybrid classical-quantum workflow for natural language processing

Machine learning: science and technology

A gentle introduction to Quantum Natural Language Processing


Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Asymmetric Loss For Multi-Label Classification

TResNet: High Performance GPU-Dedicated Architecture

Multi-Label Classification with Label Graph Superimposing

ML-Decoder: Scalable and Versatile Classification Head


Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Adversarial Training for Free!

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Bag of Tricks for Adversarial Training

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness


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

Graph Attention Networks

Neural Message Passing for Quantum Chemistry

How Powerful are Graph Neural Networks?

Principal Neighbourhood Aggregation for Graph Nets

Predicting cognitive scores with graph neural networks through sample selection learning

State of the Art and Potentialities of Graph-level Learning


Climate Variability Indices for Ecological Modelling


Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Regularization with Latent Space Virtual Adversarial Training

Learning with Multiplicative Perturbations

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


The Camunda Carbon Reductor allows you to time shift your processes' carbon emissions when energy is clean while still fulfilling the requested SLAs.


Julia interface to climate models + tracked workflow framework


Radiative transfer code Dusty

Polar Dust, Nuclear Obscuration, and IR SED Diversity in Type-1 AGNs

Massive dust clumps in the envelope of the red supergiant VY Canis Majoris

Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red
  Supergiant Stars in the Small Magellanic Cloud


SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building

International Conference on Robotics and Automation

Patchwork: Concentric Zone-Based Region-Wise Ground Segmentation With Ground Likelihood Estimation Using a 3D LiDAR Sensor

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry


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

Graph Learning based Recommender Systems: A Review

Judging a Book By its Cover

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

How do Convolutional Neural Networks Learn Design?

Effect of Text Color on Word Embeddings

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

Towards Book Cover Design via Layout Graphs


free software C++ libraries for cosmological calculations

CosmoBolognaLib: C++ libraries for cosmological calculations

The void size function in dynamical dark energy cosmologies

Journal of cosmology and astroparticle physics

Cosmological exploitation of the size function of cosmic voids identified in the distribution of biased tracers

Cosmological constraints from a joint analysis of cosmic growth and expansion

Monthly Notices of the Royal Astronomical Society: Letters

Cosmic voids uncovered – first-order statistics of depressions in the biased density field

Monthly notices of the Royal Astronomical Society

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Exploring the dependence of the three-point correlation function on stellar mass and luminosity at 0.5<z<1.1

Clustering and redshift-space distortions in modified gravity models with massive neutrinos

The XMM-Newton wide field survey in the COSMOS field: Clustering dependence of X-ray selected AGN on host galaxy properties

Clustering of CODEX clusters

Validating the methodology for constraining the linear growth rate from clustering anisotropies


Access Canadian Historical Climate Data from R

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


CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View
  Completion

End-to-End (Instance)-Image Goal Navigation through Correspondence as an
  Emergent Phenomenon


ChatterBox: Multi-round Multimodal Referring and Grounding, Multimodal, Multi-round dialogues

Visual Instruction Tuning

LISA: Reasoning Segmentation via Large Language Model

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest


Unsupervised Discovery of Object Radiance Fields

Neural Radiance Field Codebooks

Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis

International journal of computer vision


PAired-eND Assembler for DNA sequences

New Primers for Discovering Fungal Diversity Using Nuclear Large Ribosomal DNA

High molecular weight dissolved organic matter enrichment selects for methylotrophs in dilution to extinction cultures

Association Between Breastmilk Microbiota and Food Allergy in Infants

Frontiers in cellular and infection microbiology

Diammonium Glycyrrhizinate Ameliorates Obesity Through Modulation of Gut Microbiota-Conjugated BAs-FXR Signaling

Conjunctival Microbiota in Patients With Type 2 Diabetes Mellitus and Influences of Perioperative Use of Topical Levofloxacin in Ocular Surgery

Association of gut microbiota with sort-chain fatty acids and inflammatory cytokines in diabetic patients with cognitive impairment: A cross-sectional, non-controlled study

Characteristics of Gut Microbiota in Patients with GH-Secreting Pituitary Adenoma

Imaging the in vivo growth patterns of bacteria in human gut Microbiota

Retroelement Insertion in a CRISPR/Cas9 Editing Site in the Early Embryo Intensifies Genetic Mosaicism

Frontiers in cell and developmental biology

Maturation of the oral microbiota during primary teeth eruption: a longitudinal, preliminary study


Robust Graphical Methods For Group Comparisons

Beyond differences in means: robust graphical methods to compare two groups in neuroscience

Reaction times and other skewed distributions: problems with the mean and the median

No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades

The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R

Advances in methods and practices in psychological science

Analysis of patellofemoral arthrokinematic motion quality in open and closed kinetic chains using vibroarthrography

Task instructions can accelerate the early preference for social features in naturalistic scenes


This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

Quintuple: a Python 5-qubit quantum computer simulator to facilitate cloud quantum computing

Secure quantum computing for healthcare sector: A short analysis

Quintuple: A Tool for Introducing Quantum Computing Into the Classroom


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

Early results from GLASS-JWST. V: the first rest-frame optical
  size-luminosity relation of galaxies at z>7

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

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


Comprehensive library to access the Spanish electricity market entity (ESIOS), in python 3


Import Climate Indices into R


The event mention detection and corefrene evaluators, and associated utilities (converters, validators)

Nugget Proposal Networks for Chinese Event Detection

Event Detection with Trigger-Aware Lattice Neural Network

Empirical Methods in Natural Language Processing

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning

Meeting of the Association for Computational Linguistics

End-to-End Neural Event Coreference Resolution

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Adaptive Scaling for Sparse Detection in Information Extraction


Julia package that downloads satellite measurements and observational data


PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer

Breast Cancer Dataset, Classification and Detection Using Deep Learning


An R Interface and Post-Processing Framework for PhenoCam Web Services

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset


[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

In Defense of Grid Features for Visual Question Answering

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

When are Lemons Purple? The Concept Association Bias of CLIP

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

When are Lemons Purple? The Concept Association Bias of Vision-Language Models

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


Efficient and general syntactical decoding for Large Language Models

Synchromesh: Reliable code generation from pre-trained language models

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning


Deep-Learning based CTR models implemented by PyTorch

Wide & Deep Learning for Recommender Systems

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Deep Interest Network for Click-Through Rate Prediction

Deep Interest Evolution Network for Click-Through Rate Prediction


Quantum circuit analysis toolkit

On the controlled-NOT complexity of controlled-NOT–phase circuits

Fast and effective techniques for T-count reduction via spider nest
  identities

Techniques to Reduce π/4-Parity-Phase Circuits, Motivated by the ZX Calculus

AND-gates in ZX-calculus: Spider Nest Identities and QBC-completeness

Sized Types for Low-Level Quantum Metaprogramming

Quantum circuit optimization for multiple QPUs using local structure

Using ZDDs in the Mapping of Quantum Circuits

Symbolic Synthesis of Clifford Circuits and Beyond

Preferred Interaction Ranges in Neutral-Atom Arrays in the Presence of
  Noise

Optimal Hadamard gate count for Clifford+T synthesis of Pauli rotations sequences


Efficient Low-Memory Aligner

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

Multitask and Multilingual Modelling for Lexical Analysis

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services

Nordic Conference of Computational Linguistics

Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation

Democratizing Neural Machine Translation with OPUS-MT

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Graph Neural Networks for Multiparallel Word Alignment

Findings of the Association for Computational Linguistics: ACL 2022

A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content

European Association for Machine Translation Conferences/Workshops

SiLLM: Large Language Models for Simultaneous Machine Translation


Package to support the analysis of high-precision astrometry timeseries, in particular the determination of Keplerian orbits.

Gaia Data Release 3: Stellar multiplicity, a teaser for the hidden treasure

HAL (Le Centre pour la Communication Scientifique Directe)

Gaia DR3 astrometric orbit determination with Markov Chain Monte Carlo
  and Genetic Algorithms. Systems with stellar, substellar, and planetary mass
  companions

Astrometric orbits of spectral binary brown dwarfs - I. Massive T dwarf companions to 2M1059-21 and 2M0805+48

Individual dynamical masses of DENIS J063001.4−184014AB reveal a likely young brown dwarf triple


Synaptic Plasticity with Online Reinforcement learning

Embodied Synaptic Plasticity With Online Reinforcement Learning

A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents

Closing the loop between neural network simulators and the OpenAI Gym


Domain adaptation segmentation for volume EM imaging

Domain-Adversarial Training of Neural Networks

Learning Transferable Features with Deep Adaptation Networks

Domain Adaptive Segmentation in Volume Electron Microscopy Imaging


Bioinformatic Tools for study Evolution of metabolic diversity

A computational framework to explore large-scale biosynthetic diversity

Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters

The cycad coralloid root contains a diverse endophytic bacterial community with novel biosynthetic gene clusters unique to its microbiome

Diverse Cone-Snail Species Harbor Closely Related Streptomyces Species with Conserved Chemical and Genetic Profiles, Including Polycyclic Tetramic Acid Macrolactams


Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)


StarNet

Image-to-Image Translation with Conditional Adversarial Networks

Image De-Raining Using a Conditional Generative Adversarial Network

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

Perceptual Adversarial Networks for Image-to-Image Transformation

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

Learning to Kindle the Starlight


Fast linear assignment problem (LAP) solvers for Python based on c-extensions

Federated Learning with Matched Averaging

Novel diffusion-derived distance measures for graphs

A Verifiable Multiparty Computation Solver for the Assignment Problem
  and Applications to Air Traffic Management

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning.

A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction

IEEE transactions on automation science and engineering


Code for FOCAL Paper Published at ICLR 2021

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

Generalized Decision Transformer for Offline Hindsight Information Matching

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

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


C Code generation for NMPC

Aerial navigation in obstructed environments with embedded nonlinear model predictive control

Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC

Real-Time Distributed Automation Of Road Intersections


Linguistic Reconstruction with LingPy

Automatic Inference of Sound Correspondence Patterns across Multiple Languages

Computer-Assisted Language Comparison: State of the Art

Benefits of reflex prediction: a case study of Western Kho-Bwa

Automated identification of borrowings in multilingual wordlists


Large-scale multi-document summarization dataset and code

Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Leveraging Locality in Abstractive Text Summarization

A Spectral Method for Unsupervised Multi-Document Summarization

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

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

Optimizing Multidocument Summarization by Blending Reinforcement Learning Policies

Dependency Structure for News Document Summarization


Image classification for imaging flow cytometry.

CellProfiler 3.0: Next-generation image processing for biology

Label‐Free Identification of White Blood Cells Using Machine Learning

Cytometry. Part A : the journal of the International Society for Analytical Cytology

Objective assessment of stored blood quality by deep learning

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

Label‐Free Leukemia Monitoring by Computer Vision

Label-free assessment of red blood cell storage lesions by deep learning


Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

Episodic Curiosity through Reachability

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration


Deep Learning for Astronomers with Tensorflow

Deep learning of multi-element abundances from high-resolution spectroscopic data

Monthly notices of the Royal Astronomical Society

Simultaneous calibration of spectro-photometric distances and the Gaia DR2 parallax zero-point offset with deep learning

Monthly Notices of the Royal Astronomical Society

The age-chemical abundance structure of the Galactic disc - II. alpha-dichotomy and thick disc formation

Solar image denoising with convolutional neural networks

Quantifying radial migration in the Milky Way: inefficient over short time-scales but essential to the very outer disc beyond ∼15 kpc

The Milky Way tomography with APOGEE: intrinsic density distribution and structure of mono-abundance populations

Elemental Abundance Distributions in the (R, V  ϕ ) Plane with LAMOST DR5 and Gaia DR2

A variational encoder-decoder approach to precise spectroscopic age
  estimation for large Galactic surveys

The stellar mass of the Gaia-Sausage/Enceladus accretion remnant


Transition-based dependency parser based on stack LSTMs

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

DyNet: The Dynamic Neural Network Toolkit

Improved Transition-Based Parsing by Modeling Characters instead of
  Words with LSTMs

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

Parsing as Pretraining

Greedy Transition-Based Dependency Parsing with Stack LSTMs

International Conference on Computational Logic

Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers


"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and
  Language Models

FunQA: Towards Surprising Video Comprehension

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models


Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting

Computational cancer neoantigen prediction: current status and recent advances


Bird tracking - GPS tracking network for large birds

GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast

GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands

GPS tracking data of Eurasian oystercatchers (Haematopus ostralegus) from the Netherlands and Belgium


State-of-the-art metric for Natural Language Generation

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization

QuestEval: Summarization Asks for Fact-based Evaluation

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Rethinking Automatic Evaluation in Sentence Simplification

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework

Leveraging Summary Guidance on Medical Report Summarization


Runtime verification tool for Solidity smart contracts.

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

International Conference on Software Engineering

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Continuous and Secure Integration Framework for Smart Contracts


Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.

Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling

North American Chapter of the Association for Computational Linguistics

Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction

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


A log-linear time algorithm for constrained changepoint detection

gfpop: an R Package for Univariate Graph-Constrained Change-Point
  Detection

A greedy graph search algorithm based on changepoint analysis for automatic QRS complex detection


Tensorized Embedding Layers for Efficient Model Compression

Tensorized Transformer for Dynamical Systems Modeling

MARS: Masked Automatic Ranks Selection in Tensor Decompositions


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

A GPGPU Transparent Virtualization Component for High Performance Computing Clouds

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

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

International journal of parallel programming

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

Parallel Processing and Applied Mathematics

Teachers & Global Society: Challenges in Preparing Global Citizen

ZENITH International Journal of Multidisciplinary Research

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


Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

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

Machine Learning Techniques for Stellar Light Curve Classification

A CNN adapted to time series for the classification of Supernovae

From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning

Streaming classification of variable stars


A GPU based FX correlator for radio astronomy

Digital Signal Processing using Stream High Performance Computing: A 512-input Broadband Correlator for Radio Astronomy

Optimizing performance-per-watt on GPUs in high performance computing

Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

Commissioning the H i Observing Mode of the Beam Former for the Cryogenically Cooled Focal L-band Array for the GBT (FLAG)


A python package for battery models


Tools for cleaning and normalizing text data

An international survey of healthcare workers use of personal protective equipment during the early stages of the COVID‐19 pandemic

Journal of the American College of Emergency Physicians open

Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study (Preprint)

Misinformation and Hate Speech: The Case of Anti-Asian Hate Speech During the COVID-19 Pandemic

COVID-19 vaccine perceptions in the initial phases of US vaccine roll-out: an observational study on reddit

Public Perceptions of Climate Change in the Peruvian Andes


Biophysics-based prediction of LFPs from point-neuron networks

Hybrid scheme for modeling local field potentials from point-neuron networks

Estimation of neural network model parameters from local field potentials (LFPs)

Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space


Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction

HAPHPIPE: Haplotype Reconstruction and Phylodynamics for Deep Sequencing of Intrahost Viral Populations

A beginner’s guide for FMDV quasispecies analysis: sub-consensus variant detection and haplotype reconstruction using next-generation sequencing

Reconstruction of Microbial Haplotypes by Integration of Statistical and Physical Linkage in Scaffolding


Analytic sampler compiler for combinatorial systems

Polynomial tuning of multiparametric combinatorial samplers

On Uniquely Closable and Uniquely Typable Skeletons of Lambda Terms

Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers


A PyTorch implementation of EfficientNet

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism


we propose EfficientDerain for high-efficiency single-image deraining

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency
  Deraining


Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Decoupling Representation and Classifier for Long-Tailed Recognition

Instance-Conditioned GAN

To Balance or Not to Balance: A Simple-yet-Effective Approach for
  Learning with Long-Tailed Distributions

Cyclical Focal Loss

Decoupled Training for Long-Tailed Classification With Stochastic
  Representations


Fast approximate Shapley values in R

A Unified Approach to Interpreting Model Predictions

Consistent feature attribution for tree ensembles

Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Smoking is a predictor of complications in all types of surgery: a machine learning-based big data study


This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

DAN: Deep Attention Neural Network for News Recommendation

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

End-to-end Alternating Optimization for Blind Super Resolution

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Kernelized Back-Projection Networks for Blind Super Resolution


Python 3 support for the MS COCO caption evaluation tools

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Language Is Not All You Need: Aligning Perception with Language Models

Kosmos-2: Grounding Multimodal Large Language Models to the World

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via
  Cycle Training

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation

International Conference on Computational Linguistics

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

The All-Seeing Project: Towards Panoptic Visual Recognition and
  Understanding of the Open World


Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications

Deep Residual Learning for Image Recognition

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

Masked Autoregressive Flow for Density Estimation

nbi: the Astronomer's Package for Neural Posterior Estimation

Stellar Spectra Fitting with Amortized Neural Posterior Estimation and
  nbi


Create adversarial attacks against machine learning Windows malware detectors

Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection

The Threat of Offensive AI to Organizations

secml-malware: Pentesting Windows Malware Classifiers with Adversarial
  EXEmples in Python

Efficient Malware Analysis Using Metric Embeddings