C++ version of the SED fitting code FAST (Kriek et al. 2009); it's faster, uses less memory, and has more features.

Astronomy and Astrophysics - Near infrared spectroscopy and star-formation histories of 3 ≤ z ≤ 4 quiescent galaxies

Quiescent Galaxies 1.5 Billion Years after the Big Bang and Their Progenitors

An Extremely Massive Quiescent Galaxy at z = 3.493: Evidence of Insufficiently Rapid Quenching Mechanisms in Theoretical Models*

The Massive Ancient Galaxies at z > 3 NEar-infrared (MAGAZ3NE) Survey: Confirmation of Extremely Rapid Star Formation and Quenching Timescales for Massive Galaxies in the Early Universe

Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang

Molecular Gas Reservoirs in Cluster Galaxies at z = 1.46

GOODS-ALMA 2.0: Source catalog, number counts, and prevailing compact sizes in 1.1 mm galaxies

The NIRVANDELS Survey: a robust detection of alpha-enhancement in star-forming galaxies at z similar or equal to 3.4

Monthly Notices of the Royal Astronomical Society

A massive quiescent galaxy confirmed in a protocluster at z=3.09

GOODS-ALMA 2.0: Starbursts in the main sequence reveal compact star formation regulating galaxy evolution prequenching


The code used in the manuscript titled "Gene duplication and evolution in recurring polyploidization-diploidization cycles in plants".

Gene duplication and evolution in recurring polyploidization–diploidization cycles in plants

A genome sequence resource for the genus Passiflora, the genome of the wild diploid species Passiflora organensis

Comprehensive Analysis of bHLH Transcription Factors in Ipomoea aquatica and Its Response to Anthocyanin Biosynthesis

International journal of molecular sciences

Characterization of Transposon-Derived Accessible Chromatin Regions in Rice (Oryza Sativa)


Advanced EEG Statistics

Fixation-related Brain Potentials during Semantic Integration of Object–Scene Information

Cortical maturation from childhood to adolescence is reflected in resting state EEG signal complexity

Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke

lmeEEG: Mass linear mixed-effects modeling of EEG data with crossed random effects

Vestibular loss disrupts visual reactivity in the alpha EEG rhythm

Nocturnal Brain Activity Differs with Age and Sex: Comparisons of Sleep EEG Power Spectra Between Young and Elderly Men, and Between 60–80-Year-Old Men and Women


Conformer-Rotamer Ensemble Sampling Tool based on the xtb Semiempirical Extended Tight-Binding Program Package

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies

Hot exciplexes in U-shaped TADF molecules with emission from locally excited states

Automated and Efficient Generation of General Molecular Aggregate Structures

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling

Zenodo (CERN European Organization for Nuclear Research)

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

Titanocene‐Catalyzed [2+2] Cycloaddition of Bisenones and Comparison with Photoredox Catalysis and Established Methods

Inverse molecular design and parameter optimization with Hückel theory using automatic differentiation

CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning


Inference code for PaSST, using the HEAR API.

Efficient Training of Audio Transformers with Patchout

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

Noise-Robust Voice Conversion by Conditional Denoising Training Using
  Latent Variables of Recording Quality and Environment


[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

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

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation


Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

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

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics


A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Understanding deep learning (still) requires rethinking generalization

BLOCKBENCH: A Framework for Analyzing Private Blockchains

A similarity measure for indefinite rankings

ACM transactions on office information systems

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Does Learning Require Memorization? A Short Tale about a Long Tail

The U.S. Census Bureau Adopts Differential Privacy

Privacy-preserving statistical estimation with optimal convergence rates

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

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

Information Leakage in Embedding Models

Controlling Fairness and Bias in Dynamic Learning-to-Rank

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


High-Performance Linguistic Steganalysis, Capacity Estimation and Steganographic Positioning

Linguistic Steganography: From Symbolic Space to Semantic Space

TStego-THU: Large-Scale Text Steganalysis Dataset

International Conference on Artificial Intelligence


Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

DeepDyve: Dynamic Verification for Deep Neural Networks

Conference on Computer and Communications Security

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks

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

Don't Knock! Rowhammer at the Backdoor of DNN Models

A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks

Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection


Creative Commons Attribution 4.0 International

This repository houses data and code for the Global Reforestation Opportunity Assessment (GROA) led by Susan Cook-Patton of the Nature Conservancy.


Data, metadata, and software tools for the COSORE database of continuous soil respiration measurements

COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data


JAMP - Just Another Metabarcoding Pipeline

Validation of COI metabarcoding primers for terrestrial arthropods

Estimating intraspecific genetic diversity from community DNA metabarcoding data

Metabarcoding a diverse arthropod mock community

Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species

Slippage of degenerate primers can cause variation in amplicon length

Can metabarcoding resolve intraspecific genetic diversity changes to environmental stressors? A test case using river macrozoobenthos

Improved freshwater macroinvertebrate detection from eDNA through minimized non-target amplification

Exploring the potential of metabarcoding to disentangle macroinvertebrate community dynamics in intermittent streams

Moray eels are more common on coral reefs subject to higher human pressure in the greater Caribbean

A bright idea—metabarcoding arthropods from light fixtures


Generate PSF super-tabulated models

ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data

Multi-CCD modelling of the point spread function

HAL (Le Centre pour la Communication Scientifique Directe)

Rethinking data-driven point spread function modeling with a differentiable optical model

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences


[ECCV 2022] Learning to Weight Samples for Dynamic Early-exiting Networks

Multi-Scale Dense Networks for Resource Efficient Image Classification

Resolution Adaptive Networks for Efficient Inference


Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Efficient Encoding of Cost Optimal Delete-Free Planning as SAT

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Safe Learning of PDDL Domains with Conditional Effects -- Extended
  Version


Deep Residual Learning for Image Recognition

Densely Connected Convolutional Networks

Big Transfer (BiT): General Visual Representation Learning

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Ground-Water Hydrograph Analysis Toolbox


An R package for fitting and visualising radial inverse variance weighted and radial MR-Egger models.

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression

Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

Mendelian randomization suggests a bidirectional, causal relationship between physical inactivity and adiposity

Improving the visualisation, interpretation and analysis of two-sample summary data Mendelian randomization via the radial plot and radial regression

Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease

Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologies

Bayesian estimation of IVW and MR-Egger models for two-sample Mendelian randomization studies


Identity Mappings in Deep Residual Networks

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures


PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Learning without Forgetting

Three scenarios for continual learning

Generative replay with feedback connections as a general strategy for continual learning

Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent

Overcoming Catastrophic Forgetting by Generative Regularization


Mollecular Functional Portraits

Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer

MIF is a critical regulator of mononuclear phagocytic infiltration in hepatocellular carcinoma

Immune microenvironment heterogeneity reveals distinct subtypes in neuroblastoma: insights into prognosis and therapeutic targets


Tools for power sector emissions tracking

Tracking emissions in the US electricity system

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

A physics-informed data reconciliation framework for real-time electricity and emissions tracking


A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

JlBox v1.1: a Julia-based multi-phase atmospheric chemistry box model

JlBox v1.0: A Julia based mixed-phase atmospheric chemistry box-model


Fair Empirical Risk Minimization (FERM)

Empirical Risk Minimization under Fairness Constraints

Fair Bayesian Optimization

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Algorithmic fairness datasets: the story so far

Optimized Score Transformation for Consistent Fair Classification

Wasserstein Robust Classification with Fairness Constraints

Learning from Discriminatory Training Data


Graph Ensemble Learning

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

AMR Parsing via Graph-Sequence Iterative Inference

AMR Parsing with Action-Pointer Transformer

Ensembling Graph Predictions for AMR Parsing

AMR Parsing with Instruction Fine-tuned Pre-trained Language Models


Machine learning code for quantum dots

Machine learning techniques for state recognition and auto-tuning in quantum dots

Autotuning of Double-Dot Devices In Situ with Machine Learning

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Toward Robust Autotuning of Noisy Quantum dot Devices

Ray-Based Framework for State Identification in Quantum Dot Devices

Ray-based classification framework for high-dimensional data


The MSR FastRDFStore Package is designed for creating an in-memory index of RDF triples, implemented as a WCF service in C#, and consists of server & client side code.

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering


Large scale Blast Score Ratio (BSR) analysis

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

Redefining the differences in gene content between Yersinia pestis and Yersinia pseudotuberculosis using large-scale comparative genomics

Genomic Analysis of Pseudomonas sp. Strain SCT, an Iodate-Reducing Bacterium Isolated from Marine Sediment, Reveals a Possible Use for Bioremediation

Distribution of papA and papG Variants among Escherichia coli Genotypes: Association with Major Extraintestinal Pathogenic Lineages

International Journal of Molecular Sciences


The one-stop package for formulating, simulating, and solving problems in boolean and spin form

Quantum Annealing Formulation for Binary Neural Networks

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA

QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization


Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

Diffusion models for missing value imputation in tabular data

Non-autoregressive Conditional Diffusion Models for Time Series Prediction

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

Improving Diffusion Models for ECG Imputation with an Augmented Template Prior


The CIS OCR PostCorrectionTool

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus

Profiling of OCR'ed Historical Texts Revisited

@PhilosTEI: Building Corpora for Philosophers

Verbesserung der OCR in digitalen Sammlungen von Bibliotheken


Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023


LOD3 road space models in CityGML+SketchUp of the research project SAVe and SAVeNoW

INTEGRATION OF 3D POINT CLOUDS WITH SEMANTIC 3D CITY MODELS – PROVIDING SEMANTIC INFORMATION BEYOND CLASSIFICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

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

PLASTIC SURGERY FOR 3D CITY MODELS: A PIPELINE FOR AUTOMATIC GEOMETRY REFINEMENT AND SEMANTIC ENRICHMENT


In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image.  (Pytorch)

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

International Journal of Computer Vision

CBAM: Convolutional Block Attention Module

Visualizing and Understanding Convolutional Networks

Learning Deep Features for Discriminative Localization

Axiomatic Attribution for Deep Networks

Striving for Simplicity: The All Convolutional Net

Residual Attention Network for Image Classification

SmoothGrad: removing noise by adding noise


Various functions for analysis of microbial community data

Expanding known viral diversity in the healthy infant gut

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

Viral diversity is linked to bacterial community composition in alpine stream biofilms

Evaluation of DNA extraction methods and direct PCR in metabarcoding of mock and marine bacterial communities

Microbiomes of Blood-Feeding Triatomines in the Context of Their Predatory Relatives and the Environment


Facenet implementation by Keras2

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

Bias, awareness, and ignorance in deep-learning-based face recognition

FoggySight: A Scheme for Facial Lookup Privacy

Biometric Performance as a Function of Gallery Size

DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering

International Journal of Machine Learning and Cybernetics

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification

Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments

An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments


[CVPR 2022] ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

RISE: Randomized Input Sampling for Explanation of Black-box Models

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Bootstrapping Semantic Segmentation with Regional Contrast

Puzzle-CAM: Improved localization via matching partial and full features

International Conference on Information Photonics


deep learning, image retrieval, vision and language

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Text as Neural Operator: Image Manipulation by Text Instruction

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

Training and challenging models for text-guided fashion image retrieval


An R package for classification of immune subtypes, in cancer, using gene expression data.

Robust classification of Immune Subtypes in Cancer

Lymph node and tumor-associated PD-L1+ macrophages antagonize dendritic cell vaccines by suppressing CD8+ T cells

A New Epigenetic Model to Stratify Glioma Patients According to Their Immunosuppressive State

Immune Subtypes in LUAD Identify Novel Tumor Microenvironment Profiles With Prognostic and Therapeutic Implications

A High Epigenetic Risk Score Shapes the Non-Inflamed Tumor Microenvironment in Breast Cancer


Codebase for reproducible benchmarking experiments in MedMNIST v2

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification


Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022

Pseudo-Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


R tools for Agilent electrophoresis data

Manipulation of topoisomerase expression inhibits cell division but not growth and reveals a distinctive promoter structure in Synechocystis

DNA/RNA Preservation in Glacial Snow and Ice Samples

Plasmid supercoiling decreases during the dark phase in cyanobacteria: a clarification of the interpretation of chloroquine-agarose gels

Uncoupling of the Diurnal Growth Program by Artificial Genome Relaxation in Synechocystis sp. PCC 6803


Code for "Causal autoregressive flows" - AISTATS, 2021

Causal Autoregressive Flows

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

Interventional and Counterfactual Inference with Diffusion Models

Autoregressive flow-based causal discovery and inference


Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

Graphical Normalizing Flows

Differentiable DAG Sampling

Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows

Structured Neural Networks for Density Estimation and Causal Inference

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders


source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conference "Neural Bilexicalized PCFG Induction"

Compound Probabilistic Context-Free Grammars for Grammar Induction

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

Neural Bi-Lexicalized PCFG Induction

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs

Simple Hardware-Efficient PCFGs with Independent Left and Right Productions


Tool for deep mutational scanning experiments.

A statistical framework for analyzing deep mutational scanning data

A platform for functional assessment of large variant libraries in mammalian cells

Comprehensive interrogation of the ADAR2 deaminase domain for engineering enhanced RNA editing activity and specificity

Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling

Zenodo (CERN European Organization for Nuclear Research)

Enrich2: a statistical framework for analyzing deep mutational scanning data

Multiple mechanisms of self-association of chemokine receptors CXCR4 and CCR5 demonstrated by deep mutagenesis

bioRxiv : the preprint server for biology


AssemblyNet: 3D Whole Brain MRI segmentation pipeline

Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models

Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia

Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia

Brain Structure Ages -- A new biomarker for multi-disease classification

Lifespan neurodegeneration of the human brain in multiple sclerosis

Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence

Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan


Monitoring water quality from space!


Corpus of Online Medical EnTities: the cometA corpus

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

COMETA: A Corpus for Medical Entity Linking in the Social Media

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks


Implementation of fast exact k-means algorithms

Fast K-Means with Accurate Bounds

Nested Mini-Batch K-Means


Python package for detecting core-periphery structure in networks.

Core-Periphery Structure in Networks

Finding multiple core-periphery pairs in networks

Core-periphery structure requires something else in the network

Blockchain Network Analysis: A Comparative Study of Decentralized Banks

Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis

The Journal of Network Theory in Finance

Information access representations and social capital in networks


Preferential Subspace Identification Algorithm

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)

Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior


Adversarial Robustness for Code

Do Machine Learning Models Produce TypeScript Types That Type Check?

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit

Advanced Graph-Based Deep Learning for Probabilistic Type Inference


Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

Recent advances and applications of deep learning methods in materials science

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks


Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*,  Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Sparse Overcomplete Word Vector Representations

SPINE: SParse Interpretable Neural Embeddings

Word2Sense: Sparse Interpretable Word Embeddings

Meeting of the Association for Computational Linguistics

The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings

Lifelong Learning of Topics and Domain-Specific Word Embeddings

AUTOLEX: An Automatic Framework for Linguistic Exploration

DINE: Dimensional Interpretability of Node Embeddings

Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection)


BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model [ACL-BioNLP 2022]

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

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


Largest list of Arabic stop words on Github. أكبر قائمة لمستبعدات الفهرسة العربية على جيت هاب

Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Computational intelligence and neuroscience

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach

Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches

Kawarith: an Arabic Twitter Corpus for Crisis Events

Workshop on Arabic Natural Language Processing

Discovering Urban Governance Parameters for Online Learning in Saudi Arabia During COVID-19 Using Topic Modeling of Twitter Data

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification


Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Deep Metric Learning via Lifted Structured Feature Embedding

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning

Images & Recipes: Retrieval in the cooking context

International Conference on Data Engineering


NeRFBK: Different datasets for evaluating NeRF-based methods for 3D reconstruction

A Critical Analysis of NeRF-Based 3D Reconstruction

NERF FOR HERITAGE 3D RECONSTRUCTION


Python Package to calculate Cliff's delta

Lags in the release, adoption, and propagation of npm vulnerability fixes

Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

IEEE Transactions on Software Engineering

Clones in deep learning code: what, where, and why?

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem

Grading 600+ students: A Case Study on Peer and Self Grading

Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors

Understanding the Role of External Pull Requests in the NPM Ecosystem

Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems

What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?

Exploring anxiety awareness during academic science examinations


An R package for estimating poly(A)-tail lengths in Oxford Nanopore RNA and DNA reads.

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

Measuring the tail: Methods for poly(A) tail profiling

Nanopore direct RNA sequencing detects DUX4-activated repeats and isoforms in human muscle cells

Disruption of mitochondrial pyruvate oxidation in dorsal root ganglia drives persistent nociceptive sensitization and causes pervasive transcriptomic alterations


Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery


Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Reversal of pre-existing NGFR-driven tumor and immune therapy resistance

Biomarker analysis from CheckMate 214: nivolumab plus ipilimumab versus sunitinib in renal cell carcinoma

S100A5 Attenuates Efficiency of Anti‐PD‐L1/PD‐1 Immunotherapy by Inhibiting CD8+ T Cell‐Mediated Anti‐Cancer Immunity in Bladder Carcinoma

The Cancer-Associated Fibroblasts-Related Gene COMP Is a Novel Predictor for Prognosis and Immunotherapy Efficacy and Is Correlated with M2 Macrophage Infiltration in Colon Cancer

Improved prognostication of glioblastoma beyond molecular subtyping by transcriptional profiling of the tumor microenvironment

Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer

Immunogenomic pathways associated with cytotoxic lymphocyte infiltration and survival in colorectal cancer

Oleic Acid Dissolves cGAS–DNA Phase Separation to Inhibit Immune Surveillance

The oncogenic role of treacle ribosome biogenesis factor 1 (TCOF1) in human tumors: a pan-cancer analysis


Attention is not Explanation

Is Sparse Attention more Interpretable?

Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training

A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing

Revisiting Attention Weights as Explanations from an Information Theoretic Perspective


This repository contains the main baselines introduced in WSSTG (ACL 2019).

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

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

Finding Action Tubes

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video


Aspect Term Extraction with History Attention and Selective Transformation (IJCAI 2018)

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews


On Evaluation of Embodied Navigation Agents

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes

Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms


RDP extensible sequence classifier for fungal lsu, bacterial and archaeal 16s

A distinct bacterial dysbiosis associated skin inflammation in ovine footrot

Rapid and accurate taxonomic classification of cpn60 amplicon sequence variants

CNN_FunBar: Advanced Learning Technique for Fungi ITS Region Classification

The impact of transitive annotation on the training of taxonomic classifiers


Deep Learning on Graphs: A Survey

Few-Shot Learning with Graph Neural Networks

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Domain Agnostic Few-Shot Learning For Document Intelligence

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


A standalone release of DeepMind Lab's maze generator with Python bindings.

DeepMind Lab

Learning Graph Structure With A Finite-State Automaton Layer

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results


LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review


Goal driven language generation using knowledge graph A2C agents

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

Reinforcement learning on graphs: A survey

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents


Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Efficient Nearest Neighbor Language Models

Capturing Structural Locality in Non-parametric Language Models


SOTA Math Opensource LLM

Qwen Technical Report

Solving Quantitative Reasoning Problems with Language Models

Best Practices and Lessons Learned on Synthetic Data for Language Models

Evolutionary Optimization of Model Merging Recipes

Toward Self-Improvement of LLMs via Imagination, Searching, and
  Criticizing

Implicit Chain of Thought Reasoning via Knowledge Distillation

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models
  with a Self-Critique Pipeline

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training
  Small Data Synthesis Models

CLLMs: Consistency Large Language Models

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction


Python module for performing linear regression for data with measurement errors and intrinsic scatter

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

Black Hole Mass Scaling Relations for Early-type Galaxies. I. M-BH-M-*,M-sph and M-BH-M-*,M-gal

Black Hole Mass Scaling Relations for Spiral Galaxies. I. M-BH-M-*,(sph)

Graph-based interpretation of the molecular interstellar medium segmentation

Monthly Notices of the Royal Astronomical Society

Black Hole Mass Scaling Relations for Spiral Galaxies. II. M BH -M *,tot and M BH -M *,disk

Revealing Hidden Substructures in the MBH–σ Diagram, and Refining the Bend in the L–σ Relation

Helium abundance in a sample of cool stars: measurements from asteroseismology

Monthly notices of the Royal Astronomical Society

An accurate measurement of the baryonic Tully-Fisher relation with heavily gas-dominated ALFALFA galaxies

A Consistent Set of Empirical Scaling Relations for Spiral Galaxies: The (vmax, MoM)–(σ0, MBH, ϕ) Relations

On the relation between mini-halos and AGN feedback in clusters of galaxies


Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)

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

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


记录GitHub热门仓库，每小时更新，按天归档。

High-Resolution Image Synthesis with Latent Diffusion Models

Masked Autoencoders Are Scalable Vision Learners

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

You Only Learn One Representation: Unified Network for Multiple Tasks

DiffusionDet: Diffusion Model for Object Detection


A tool to extract and visualize the results of CAFE (Computational Analysis of gene Family Evolution)

Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation

The genome of the mimosoid legume Prosopis cineraria, a desert tree

High-Quality de novo Chromosome-Level Genome Assembly of a Single Bombyx mori With BmNPV Resistance by a Combination of PacBio Long-Read Sequencing, Illumina Short-Read Sequencing, and Hi-C Sequencing

Phylotranscriptomics and evolution of key genes for terpene biosynthesis in Pinaceae


MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation

Effective Sequence-to-Sequence Dialogue State Tracking

Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation


Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing

Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning

FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation

Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification

IEEE Geoscience and Remote Sensing Letters


Exploring Japanese SimCSE

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

A large annotated corpus for learning natural language inference


Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

Score-Based Generative Models for Robust Channel Estimation

Deep Diffusion Models for Robust Channel Estimation.


Pytorch implementation of the paper Deep learning for extreme multi-label text classification

A Survey on Text Classification: From Shallow to Deep Learning

Extreme Classification via Adversarial Softmax Approximation

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence

A Survey on Extreme Multi-label Learning


A two-stage RST discourse parser

A Two-Stage Parsing Method for Text-Level Discourse Analysis

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

MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision

A Language Model-based Generative Classifier for Sentence-level Discourse Parsing

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

Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !

Improving Neural RST Parsing Model with Silver Agreement Subtrees

North American Chapter of the Association for Computational Linguistics

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models


Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

Representation Learning for Dynamic Graphs: A Survey

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Improving Knowledge Graph Embedding Using Simple Constraints

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

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization

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

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

Stay Positive: Knowledge Graph Embedding Without Negative Sampling


Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

Integrative Few-Shot Learning for Classification and Segmentation

Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation


Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Towards Robust Neural Networks via Random Self-ensemble

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains

The Dimpled Manifold Model of Adversarial Examples in Machine Learning

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Rate Distortion For Model Compression: From Theory To Practice

Information-Theoretic Understanding of Population Risk Improvement with Model Compression

Classification Confidence Estimation with Test-Time Data-Augmentation


Code for generating Higher-order Network (HON) from data with higher-order dependencies

Representing higher-order dependencies in networks

HONEM: Learning Embedding for Higher Order Networks

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.

Representing Big Data as Networks: New Methods and Insights


pytorch implementation of  face detection algorithm  MTCNN

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Face Recognition: Too Bias, or Not Too Bias?

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Automatic Face Understanding: Recognizing Families in Photos


Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Predictive Uncertainty Estimation via Prior Networks

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

Object Detection as Probabilistic Set Prediction


Confidence interval computation for evaluation in machine learning using the bootstrapping approach

Connected Speech-Based Cognitive Assessment in Chinese and English

GLOBE: A High-quality English Corpus with Global Accents for Zero-shot
  Speaker Adaptive Text-to-Speech

Enhancing Child Vocalization Classification with Phonetically-Tuned Embeddings for Assisting Autism Diagnosis

Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?

XANE: eXplainable Acoustic Neural Embeddings

Utiliser l'explicabilité des modèles pour mettre en évidence les expressions genrées dans la parole

A Multimodal Framework for the Assessment of the Schizophrenia Spectrum

Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture


Toolbox for Bayesian inference for psychometric functions

Asymmetrical interference between number and item size perception provides evidence for a domain specific impairment in dyscalculia

Increments in visual motion coherence are more readily detected than decrements

Auditory processing remains sensitive to environmental experience during adolescence in a rodent model

Speech intelligibility of simulated hearing loss sounds and its prediction using the Gammachirp Envelope Similarity Index (GESI)

Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions

Effective data screening technique for crowdsourced speech intelligibility experiments: Evaluation with IRM-based speech enhancement

Corrective feedback guides human perceptual decision-making by informing about the world state rather than rewarding its choice

Resources Underlying Visuo-Spatial Working Memory Enable Veridical Large Numerosity Perception


Read, manipulate and visualize 'Pairwise mApping Format' data in R

Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration

Lager Yeast Design Through Meiotic Segregation of a Saccharomyces cerevisiae × Saccharomyces eubayanus Hybrid


Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles

Computer-Aided Civil and Infrastructure Engineering

Graph Neural Networks in IoT: A Survey

Influenza-like symptom recognition using mobile sensing and graph neural networks

Proceedings of the Conference on Health, Inference, and Learning

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients

Journal of healthcare informatics research

Graph Powered Machine Learning in Smart Sensor Networks


QIR specification defining how to represent quantum programs within the LLVM IR

Q# as a Quantum Algorithmic Language

Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools

Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models

Multithreaded parallelism for heterogeneous clusters of QPUs

SCIM MILQ: An HPC Quantum Scheduler


Dynamic Graph Benchmark

Towards Better Evaluation for Dynamic Link Prediction

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery


Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

Oversmoothing: A Nightmare for Graph Contrastive Learning?

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning


Point-NeRF: Point-based Neural Radiance Fields

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra

Ponder: Point Cloud Pre-training via Neural Rendering


Grounded SCAN data set.

A Benchmark for Systematic Generalization in Grounded Language Understanding

ReaSCAN: Compositional Reasoning in Language Grounding

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?

Think before you act: A simple baseline for compositional generalization

Improved Compositional Generalization by Generating Demonstrations for Meta-Learning


Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Constitutional AI: Harmlessness from AI Feedback

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Training Socially Aligned Language Models on Simulated Social Interactions

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment

InstructGraph: Boosting Large Language Models via Graph-centric
  Instruction Tuning and Preference Alignment

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Stable Code Technical Report

Unveiling Safety Vulnerabilities of Large Language Models


Connectome Computation System

Shifting gradients of macroscale cortical organization mark the transition from childhood to adolescence

Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month

Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability

Temporal stability of functional brain modules associated with human intelligence

Charting brain growth in tandem with brain templates at school age

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

DREAM: A Toolbox to Decode Rhythms of the Brain System

Anxiety correlates with cortical surface area in subjective cognitive decline: APOE ε4 carriers versus APOE ε4 non-carriers

Mind-Body Practice Changes Fractional Amplitude of Low Frequency Fluctuations in Intrinsic Control Networks


Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

Representation Learning for Attributed Multiplex Heterogeneous Network

Multilayer network simplification: approaches, models and methods

Multiplex Heterogeneous Graph Convolutional Network

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

MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

Dual Information Enhanced Multi-view Attributed Graph Clustering

Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks


Automatically exported from code.google.com/p/jmodeltest2

The first two cases of 2019‐nCoV in Italy: Where they come from?

Evolutionary Analysis of SARS-2-CoV: How Mutation of Non-Structural Protein 6 (NSP6) Could Affect Viral Autophagy

The global spread of 2019-nCoV: a molecular evolutionary analysis

Genomic Epidemiology Reconstructs the Introduction and Spread of Zika Virus in Central America and Mexico

Global radiation in a rare biosphere soil diatom

A doubt of multiple introduction of SARS‐CoV‐2 in Italy: A preliminary overview

Distinct Zika Virus Lineage in Salvador, Bahia, Brazil

The Pacific Rat Race to Easter Island: Tracking the Prehistoric Dispersal of Rattus exulans Using Ancient Mitochondrial Genomes

Genetic Evidence and Host Immune Response in Persons Reinfected with SARS-CoV-2, Brazil

Substitutions near the HA receptor binding site explain the origin and major antigenic change of the B/Victoria and B/Yamagata lineages

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


Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Design Space of Diffusion-Based Generative Models

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow


Repository with the code and data for all figures from Chapter 9 of the IPCC AR6


Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

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

DARTS: Differentiable Architecture Search

Betty: An Automatic Differentiation Library for Multilevel Optimization

Saliency-Aware Neural Architecture Search

Making Scalable Meta Learning Practical


TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning


Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

TIM: Teaching Large Language Models to Translate with Comparison

Improving LLM-based Machine Translation with Systematic Self-Correction

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

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

BMX: Boosting Natural Language Generation Metrics with Explainability


Multi-level visualization of genomic statistical variables on rectangular chromosomes

Frequent germplasm exchanges drive the high genetic diversity of Chinese-cultivated common apricot germplasm

Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants

The chromosome-scale genome of the raccoon dog: Insights into its evolutionary characteristics

Chromosome-Scale Genome of Masked Palm Civet (Paguma larvata) Shows Genomic Signatures of Its Biological Characteristics and Evolution

Novel Heredity Basis of the Four-Horn Phenotype in Sheep Using Genome-Wide Sequence Data

Animals : an open access journal from MDPI

Genetic basis and evolution of structural color polymorphism in an Australian songbird

Gonadal transcriptome sequencing reveals sexual dimorphism in expression profiling of sex-related genes in Asian arowana (Scleropages formosus)


LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior

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


Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

Neural Symbolic Regression that Scales

Interpretable Scientific Discovery with Symbolic Regression: A Review

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data


Clone (~1000) repos matched to query on GitHub using Search API

Learning to Parallelize in a Shared-Memory Environment with Transformers

Advising OpenMP Parallelization via a Graph-Based Approach with Transformers

MPI-RICAL: Data-Driven MPI Distributed Parallelism Assistance with Transformers


Performs the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) method.

The MR-Base platform supports systematic causal inference across the human phenome

Guidelines for performing Mendelian randomization investigations

Recent Developments in Mendelian Randomization Studies

Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Gut Microbiota and Psychiatric Disorders: A Two-Sample Mendelian Randomization Study

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies

Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption

The causal relationship between gastro-oesophageal reflux disease and idiopathic pulmonary fibrosis: a bidirectional two-sample Mendelian randomisation study

Relationship Between Serum Amino Acid Levels and Bone Mineral Density: A Mendelian Randomization Study


SuperPoint: Self-Supervised Interest Point Detection and Description

SuperGlue: Learning Feature Matching with Graph Neural Networks

OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching


Kippo - SSH Honeypot

A Survey on Honeypot Software and Data Analysis

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

IoT Vulnerability Assessment for Sustainable Computing: Threats, Current Solutions, and Open Challenges

Enhancing Honeypot Deception Capability Through Network Service Fingerprinting

Attacker Behaviour Forecasting Using Methods of Intelligent Data Analysis: A Comparative Review and Prospects

Honeypots for employee information security awareness and education training: A conceptual EASY training model

Living in the Dark: MQTT-Based Exploitation of IoT Security Vulnerabilities in ZigBee Networks for Smart Lighting Control

Evaluating Deception and Moving Target Defense with Network Attack Simulation

Proceedings of the 9th ACM Workshop on Moving Target Defense

Cloud Watching: Understanding Attacks Against Cloud-Hosted Services

Proceedings of the 2023 ACM on Internet Measurement Conference

Reduce positive and negative falses from attacks collected from the deployment of distributed honeypot network


A curated list of Federated Learning papers/articles and recent advancements.

Dissecting racial bias in an algorithm used to manage the health of populations

Robust and Communication-Efficient Federated Learning from Non-IID Data

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

IEEE transactions on neural networks and learning systems

Multi-Objective Evolutionary Federated Learning

Ternary Compression for Communication-Efficient Federated Learning

A Secure EHR System Based on Hybrid Clouds

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM

IEEE journal of biomedical and health informatics

Molecular property prediction: recent trends in the era of artificial intelligence

Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring


Piotr's Image & Video Matlab Toolbox

Video Frame Synthesis using Deep Voxel Flow

Getting to Know Low-light Images with The Exclusively Dark Dataset

Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images

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

Deep Multi-camera People Detection

Posterior amygdala regulates sexual and aggressive behaviors in male mice

Micro-expression detection in long videos using optical flow and recurrent neural networks

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Learning layer-specific edges for segmenting retinal layers with large deformations

Object Contour and Edge Detection with RefineContourNet

Visual Tracking via Boolean Map Representations


Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling


A python pipeline to identify IS (Insertion Sequence) elements in genome and metagenome

ISEScan: automated identification of insertion sequence elements in prokaryotic genomes

Survey and Sequence Characterization of Bovine Mastitis-Associated Escherichia coli in Dairy Herds

Escherichia ruysiae May Serve as a Reservoir of Antibiotic Resistance Genes across Multiple Settings and Regions


Massively Multilingual Transfer for NER

Massively Multilingual Transfer for NER

Mitigating Language-Dependent Ethnic Bias in BERT

Improving Multilingual Models with Language-Clustered Vocabularies

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Multilingual NER Transfer for Low-resource Languages.

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition

Findings of the Association for Computational Linguistics: ACL 2023


Compare neural networks by their feature similarity

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Do Vision Transformers See Like Convolutional Neural Networks?

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

A Closer Look at Self-Supervised Lightweight Vision Transformers

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

On the special role of class-selective neurons in early training


Library for implementing RNNs with Theano

Neural Machine Translation by Jointly Learning to Align and Translate

Generating Chinese Classical Poems with RNN Encoder-Decoder

Agreement on Target-bidirectional Neural Machine Translation

Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

Neural Machine Translation Advised by Statistical Machine Translation

Interactive Attention for Neural Machine Translation

Memory-enhanced Decoder for Neural Machine Translation

Memory-augmented Neural Machine Translation

Variable-Length Word Encodings for Neural Translation Models

Empirical Methods in Natural Language Processing


Implementation of  "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech

Utilizing Self-supervised Representations for MOS Prediction

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features

Timbre-Reserved Adversarial Attack in Speaker Identification


Real-World RL Benchmark Suite

Challenges of Real-World Reinforcement Learning

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Balancing Constraints and Rewards with Meta-Gradient D4PG

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics


U-Net: Convolutional Networks for Biomedical Image Segmentation

Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize

Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Teaching the incompressible Navier–Stokes equations to fast neural surrogate models in three dimensions


Room impulse response simulator using python

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

VoiceFixer: Toward General Speech Restoration with Neural Vocoder


Identifying and removing near-duplicate images using perceptual hashing.

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication

Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild


A PyTorch implementation of MobileNet V2 architecture and pretrained model.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Data-Free Quantization Through Weight Equalization and Bias Correction

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training

GolfDB: A Video Database for Golf Swing Sequencing

FP8 versus INT8 for efficient deep learning inference

Grafted network for person re-identification


国内首个全参数训练的法律大模型 HanFei-1.0 (韩非)

Large Language Models in Law: A Survey

Datasets for Large Language Models: A Comprehensive Survey

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

A Survey on Large Language Models for Critical Societal Domains:
  Finance, Healthcare, and Law

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report)

A Survey on Large Language Models with Multilingualism: Recent Advances
  and New Frontiers

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model


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

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

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

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

Chinese Text in the Wild


DeepWalk implementation in C++

VERSE: Versatile Graph Embeddings from Similarity Measures

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

FREDE: Anytime Graph Embeddings

An open source knowledge graph ecosystem for the life sciences

Node Embedding with Adaptive Similarities for Scalable Learning over Graphs

Massively Parallel Graph Drawing and Representation Learning

Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics

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

Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition

Towards Natural Machine Unlearning


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

SoundSpaces: Audio-Visual Navigation in 3D Environments

Learning to Set Waypoints for Audio-Visual Navigation

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning

Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments


GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)


An unofficial implementation of "Learning-based Video Motion Magnification" in Pytorch.

Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic
  Architecture


ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

AgentGym: Evolving Large Language Model-based Agents across Diverse
  Environments


SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning


Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

What do you learn from context? Probing for sentence structure in contextualized word representations

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

Improving Relation Extraction by Pre-trained Language Representations

Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding

Conference on Computational Natural Language Learning


Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.

Benchmarking Natural Language Understanding Services for building Conversational Agents

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

Intent Mining from past conversations for conversational agent

Composed Variational Natural Language Generation for Few-shot Intents

LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations

One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots

BlendX: Complex Multi-Intent Detection with Blended Patterns


Code for the paper "Exploration by Random Network Distillation"

Dealing with Sparse Rewards in Reinforcement Learning

See, Hear, Explore: Curiosity via Audio-Visual Association

Exploring Unknown States with Action Balance

Touch-based Curiosity for Sparse-Reward Tasks

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration


Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

Compressing Pre-trained Models of Code into 3 MB

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey

Generalizability of Code Clone Detection on CodeBERT

xASTNN: Improved Code Representations for Industrial Practice

Gitor: Scalable Code Clone Detection by Building Global Sample Graph

Class based Influence Functions for Error Detection


Lending Orientation to Neural Networks for Cross-view Geo-localization

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization

Visual and Object Geo-localization: A Comprehensive Survey


The first realistic and public dataset with rare undesirable real events in oil wells.

A realistic and public dataset with rare undesirable real events in oil wells

Journal of Petroleum Science and Engineering

Fault detection and classification in oil wells and production/service lines using random forest

Machine learning and transport simulations for groundwater anomaly detection

Journal of Computational and Applied Mathematics

A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data

Classification of undesirable events in oil well operation

PROCESS CONTROL '21 - PROCEEDING OF THE 2021 23RD INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC)

Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)

Imminence Monitoring of Critical Events: A Representation Learning Approach

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells

International Conference on Industrial Informatics

Detecting Interesting and Anomalous Patterns In Multivariate Time-Series Data in an Offshore Platform Using Unsupervised Learning


Official PyTorch Implementation of SAGPool - ICML 2019

Self-Attention Graph Pooling

State of the Art and Potentialities of Graph-level Learning

Learning to Pool in Graph Neural Networks for Extrapolation


2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

Visual Data Analysis and Simulation Prediction for COVID-19

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic

COVID-19 Asymptomatic Infection Estimation

Working from home and firm resilience to the COVID‐19 pandemic

Simulating the spread of epidemics in China on multi-layer transportation networks: Beyond COVID-19 in Wuhan

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China

Traffic Density Reduction Caused by City Lockdowns Across the World During the COVID-19 Epidemic: From the View of High-Resolution Remote Sensing Imagery

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform

Modeling of suppression and mitigation interventions in the COVID-19 epidemics


a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

A Self Validation Network for Object-Level Human Attention Estimation

Flow-based Video Segmentation for Human Head and Shoulders

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

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

FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving


:headphones: lead sheet datasets in various formats

Automatic Melody Harmonization via Reinforcement Learning by Exploring Structured Representations for Melody Sequences

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment

MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data

Exploring Inherent Properties of the Monophonic Melody of Songs


Rapid Profiling and Deconvolution Tool for Metagenomes

Mash: fast genome and metagenome distance estimation using MinHash

MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies

FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares

miComplete: weighted quality evaluation of assembled microbial genomes

Mash Sketched Reference Dataset for Genome-Based Taxonomy and Comparative Genomics

Deep-Sea Sediments from the Southern Gulf of Mexico Harbor a Wide Diversity of PKS I Genes


Dirichlet MLE python library

The redshift distribution of cosmological samples: a forward modeling approach

Journal of Cosmology and Astroparticle Physics

A new statistical method to analyze Morris Water Maze data using Dirichlet distribution

Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises

A Combination of Caffeine Supplementation and Enriched Environment in an Alzheimer’s Disease Mouse Model

International journal of molecular sciences

Long-Term Pharmacological Inhibition of the Activity of All NOS Isoforms Rather Than Genetic Knock-Out of Endothelial NOS Leads to Impaired Spatial Learning and Memory in C57BL/6 Mice


Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

GDPNet: Refining Latent Multi-View Graph for Relation Extraction

SCORE: Self-Supervised Correspondence Fine-Tuning for Improved Content Representations

Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification

hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications


Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Evaluating word embedding models: methods and experimental results

APSIPA Transactions on Signal and Information Processing

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Unsupervised Neural Text Simplification

A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings


Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection


Implementation of Visual Transformer for Small-size Datasets

Vision Transformer for Small-Size Datasets

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective


Package for working with hypernetworks in PyTorch.

HyperNetworks

Continual learning with hypernetworks

Posterior Meta-Replay for Continual Learning

Continual Learning in Recurrent Neural Networks

Uncertainty estimation under model misspecification in neural network regression


A fast, robust Python library to check for offensive language in strings.

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Composing Ensembles of Pre-trained Models via Iterative Consensus

Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis

Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)

Ask Language Model to Clean Your Noisy Translation Data

Exploring a Multi-Layered Cross-Genre Corpus of Document-Level Semantic Relations


Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”

Open source software in quantum computing

Efficient decomposition of unitary matrices in quantum circuit compilers

Approaching the theoretical limit in quantum gate decomposition


A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

Online Continual Learning in Image Classification: An Empirical Survey

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

Online Prototype Learning for Online Continual Learning

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER

Adaptive Shortcut Debiasing for Online Continual Learning

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation

Online Continual Learning via Logit Adjusted Softmax

Class-Adaptive Sampling Policy for Efficient Continual Learning


Caterpillar: A BPMN-based BPMS for Ethereum

CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

Interpreted Execution of Business Process Models on Blockchain

MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution

Enabling Data Confidentiality with Public Blockchains


Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

An empirical study of CTC based models for OCR of Indian languages

Modernizing Open-Set Speech Language Identification


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

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification

Gradformer: Graph Transformer with Exponential Decay


RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

An original model for multi-target learning of logical rules for knowledge graph reasoning

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks


Use deep learning to generate and harmonize music in the style of Bach

Deep Learning Techniques for Music Generation - A Survey

When Creators Meet the Metaverse: A Survey on Computational Arts

Am I (Deep) Blue? Music-Making AI and Emotional Awareness

A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks


This repository provides a reference implementation of struc2vec.

struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Graph embedding on biomedical networks: methods, applications and evaluations

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Billion-scale Network Embedding with Iterative Random Projection

Scalable Graph Embeddings via Sparse Transpose Proximities

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Network representation learning systematic review: ancestors and current development state

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks


Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Fully Convolutional Geometric Features

International Conference on Computer Vision

Deep Global Registration

Learning multiview 3D point cloud registration

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors

Self-supervised Geometric Perception


Uniform Manifold Approximation and Projection - R package

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

Meta-analysis of the gut microbiota in predicting response to cancer immunotherapy in metastatic melanoma

Exploratory Study on Application of MALDI-TOF-MS to Detect SARS-CoV-2 Infection in Human Saliva

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

Historical RNA expression profiles from the extinct Tasmanian tiger

MicroRNA profiling of cerebrospinal fluid from dogs with steroid responsive meningitis-arteritis and meningoencephalitis of unknown origin

Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany


SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Deep Learning Meets SAR

TWC-Net: A SAR Ship Detection Using Two-Way Convolution and Multiscale Feature Mapping

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework


[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Imbalance Trouble: Revisiting Neural-Collapse Geometry

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

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

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

Class Balancing GAN with a Classifier in the Loop

Decoupled Training for Long-Tailed Classification With Stochastic Representations

Background Splitting: Finding Rare Classes in a Sea of Background

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails


A comprehensive list of published machine learning applications to cosmology

Applications and Techniques for Fast Machine Learning in Science

The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence

The CAMELS project: public data release

Nonlinear 3D cosmic web simulation with heavy-tailed generative adversarial networks

Galaxies and haloes on graph neural networks: Deep generative modelling scalar and vector quantities for intrinsic alignment

georgestein/ml-in-cosmology: Machine learning in cosmology

Zenodo (CERN European Organization for Nuclear Research)

Deconfusing intensity maps with neural networks

A convolutional-neural-network estimator of CMB constraints on dark matter energy injection


Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Binary and analog variation of synapses between cortical pyramidal neurons

Petascale neural circuit reconstruction: automated methods

Automatic Neuron Type Identification by Neurite Localization in the Drosophila Medulla


A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Gradient-Based Constrained Sampling from Language Models

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning

Constrained Text Generation with Global Guidance -- Case Study on CommonGen

Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding-best Generation Hypotheses by Lexically Constrained Decoding

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


Practical low-rank gradient compression for distributed optimization:  https://arxiv.org/abs/1905.13727

Zero-Shot Text-to-Image Generation

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Natural Compression for Distributed Deep Learning

Rethinking gradient sparsification as total error minimization

PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

IntSGD: Adaptive Floatless Compression of Stochastic Gradients

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning


EyeQ : Dataset of Retinal Image Quality Assessment

Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces

Medical Image Computing and Computer-Assisted Intervention

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement

QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models


XicTools: Xic graphical editor, WRspice circuit simulator, and accessories. for electronic design.

Inductance of superconductor integrated circuit features with sizes down to 120 nm

Mutual and Self-Inductance in Planarized Multilayered Superconductor Integrated Circuits: Microstrips, Striplines, Bends, Meanders, Ground Plane Perforations

Electronic Design Automation tools for superconducting circuits

SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Measurement and data-assisted simulation of bit error rate in RQL circuits


AI for GNU Image Manipulation Program

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

AOD-Net: All-in-One Dehazing Network

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Vision Transformers for Dense Prediction

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

Real-Time User-Guided Image Colorization with Learned Deep Priors

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning


BoNeSi - the DDoS Botnet Simulator

A DDoS Attack Mitigation Scheme in ISP Networks Using Machine Learning Based on SDN

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning

International conference on Artificial intelligence and applications

Towards Detecting Flooding DDOS Attacks Over Software Defined Networks Using Machine Learning Techniques

MAN-EDoS: A Multihead Attention Network for the Detection of Economic Denial of Sustainability Attacks

Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments

DDOS Botnets Attacks Detection in Anomaly Traffic: A Comparative Study.

Journal of Information Security and Cybercrimes Research

Two-Phase Deep Learning-Based EDoS Detection System


Official Implementation of Rectified Flow (ICLR2023 Spotlight)

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Bellman Optimal Step-size Straightening of Flow-Matching Models

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

Fast Samplers for Inverse Problems in Iterative Refinement Models


An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Reversed graph embedding resolves complex single-cell trajectories

RNA velocity of single cells

The single-cell transcriptional landscape of mammalian organogenesis

Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Generalizing RNA velocity to transient cell states through dynamical modeling

Single-cell mRNA quantification and differential analysis with Census

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

A comparison of single-cell trajectory inference methods

Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development


Visualizer for neural network, deep learning and machine learning models

Smart Pothole Detection Using Deep Learning Based on Dilated Convolution

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Net2Vis – A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations

IEEE transactions on visualization and computer graphics

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany

HumBugDB: A Large-scale Acoustic Mosquito Dataset

ModelHub.AI: Dissemination Platform for Deep Learning Models

Improving the Actuation Speed and Multi-Cyclic Actuation Characteristics of Silicone/Ethanol Soft Actuators

A Visual Programming Paradigm for Abstract Deep Learning Model Development

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective


Recurrent Neural Network Regularization

Theano: A Python framework for fast computation of mathematical expressions

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Minimal Gated Unit for Recurrent Neural Networks

Learning Private Neural Language Modeling with Attentive Aggregation

International Joint Conference on Neural Network

SYSTRAN's Pure Neural Machine Translation Systems

rnn : Recurrent Library for Torch

Direct Output Connection for a High-Rank Language Model

Character n-gram Embeddings to Improve RNN Language Models


SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure


CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Two-view Graph Neural Networks for Knowledge Graph Completion


Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

Normalizing Flows for Human Pose Anomaly Detection

Anonymization for Skeleton Action Recognition

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition


On-Device ID Card & Passport & Driver License Recognition SDK for Android

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network

Data Generation for Post-OCR correction of Cyrillic handwriting

Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents

Journal on Computing and Cultural Heritage


Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey


This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification

Robust Domain-Free Domain Generalization with Class-aware Alignment


DynaSent: Dynamic Sentiment Analysis Dataset

Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

DynaSent: A Dynamic Benchmark for Sentiment Analysis

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning


Proper scoring rules in Python

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting

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

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks

Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network


Add bisenetv2.  My implementation of BiSeNet

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

IEEE Transactions on Intelligent Transportation Systems

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes

Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income


Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Consistency Regularization for Adversarial Robustness

Efficient and Effective Augmentation Strategy for Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

Smoothness Analysis of Adversarial Training

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

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

Revisiting Adversarial Training under Long-Tailed Distributions


Generating room impulse responses

Broadband doa estimation using convolutional neural networks trained with noise signals

Workshop on Applications of Signal Processing to Audio and Acoustics

ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration

Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise

Deep Ad-hoc Beamforming

Multi-Source DOA Estimation Through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays

Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features

Estimation of acoustic echoes using expectation-maximization methods

EURASIP Journal on Audio, Speech, and Music Processing


Python 3 Spelling Corrector

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning

JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods

North American Chapter of the Association for Computational Linguistics

Extracting textual overlays from social media videos using neural networks

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models

Examining the potential influence of crosslinguistic lexical similarity on word-choice transfer in L2 English


Pytorch implementation of NetVlad including training on Pittsburgh.

NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

MultiRes-NetVLAD: Augmenting Place Recognition Training With Low-Resolution Imagery

i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision

CricaVPR: Cross-image Correlation-aware Representation Learning for
  Visual Place Recognition

Optimizing Appearance-Based Localization with Catadioptric Cameras: Small-Footprint Models for Real-Time Inference on Edge Devices

Improved Visual Localization via Graph Smoothing

Improved Visual Localization via Graph Filtering


A dataset constructed for single-frame infrared small target detection

Attentional Local Contrast Networks for Infrared Small Target Detection

AFFPN: Attention Fusion Feature Pyramid Network for Small Infrared Target Detection

IRSTFormer: A Hierarchical Vision Transformer for Infrared Small Target Detection

CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection

Lightweight Multimechanism Deep Feature Enhancement Network for Infrared Small-Target Detection