Dataset for JSB Chorales at different temporal resolutions, with train, validation, test split from Boulanger-Lewandowski (2012).

Music Transformer

Counterpoint by Convolution

Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art

Generating Music with a Self-Correcting Non-Chronological Autoregressive Model

Improving Polyphonic Music Models with Feature-Rich Encoding

Unsupervised Musical Object Discovery from Audio


Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

The ASHRAE Great Energy Predictor III competition: Overview and results

Science and Technology for the Built Environment

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting


DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

Biclique extension as an effective approach to identify missing links in metabolic compound–protein interaction networks


Code to calculate the crystal field Hamiltonian of magnetic ions.

Ni2Mo3O8: Complex antiferromagnetic order on a honeycomb lattice

Crystal-field Hamiltonian and anisotropy in KErSe2 and CsErSe2

Data-driven design of molecular nanomagnets

Crystal field levels and magnetic anisotropy in the kagome compounds Nd 3 Sb 3 Mg 2 O 14 , Nd 3 Sb 3 Zn 2 O 14 , and Pr 3 Sb 3 Mg 2 O 14

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


Adversarial Example Attacks on Policy Learners

Noisy Networks for Exploration

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


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

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

IEEE Geoscience and Remote Sensing Letters

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

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

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

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

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


Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI 2023

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

CaMU: Disentangling Causal Effects in Deep Model Unlearning


Repository for all AMR preprocessing and postprocessing scripts

Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations

Improving AMR Parsing with Sequence-to-Sequence Pre-training

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

Dealing with Co-reference in Neural Semantic Parsing

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation

Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution

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

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics


Download and pre-processing of ROAD dataset

ROAD: The Road Event Awareness Dataset for Autonomous Driving

ROAD-R: The Autonomous Driving Dataset with Logical Requirements

Machine Learning with Requirements: a Manifesto


Cross-population polygenic prediction

Improving Polygenic Prediction in Ancestrally Diverse Populations

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

bioRxiv : the preprint server for biology

Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments

BridgePRS leverages shared genetic effects across ancestries to increase polygenic risk score portability

Power of inclusion: Enhancing polygenic prediction with admixed individuals

Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users

Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features

Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam


A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control


Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Rank consistent ordinal regression for neural networks with application to age estimation

Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities


Summarizing Source Code using a Neural Attention Model - CODENN

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Opportunities and Challenges in Code Search Tools

On the Evaluation of Neural Code Summarization

Proceedings of the 44th International Conference on Software Engineering

TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation

Neural Code Summarization: How Far Are We?


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


WSDM'2021, PROP and SIGIR'2021,B-PROP

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models


CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Predictive Models in Software Engineering

A Survey on Automated Program Repair Techniques


TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

GP-VAE: Deep Probabilistic Time Series Imputation

SAITS: Self-Attention-based Imputation for Time Series

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Gradient Importance Learning for Incomplete Observations

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask


A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

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

Learning To Follow Directions in Street View

The StreetLearn Environment and Dataset

Cross-View Policy Learning for Street Navigation


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


Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

Universal Representations: A Unified Look at Multiple Task and Domain Learning

Schedule-Robust Online Continual Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning


mindspore implementation of transformers

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models are Unsupervised Multitask Learners

Improving Language Understanding by Generative Pre-Training

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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


A repository to quickly generate synthetic data and associated trojaned deep learning models

Trigger Hunting with a Topological Prior for Trojan Detection

Topological Detection of Trojaned Neural Networks

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

Detecting Trojaned DNNs Using Counterfactual Attributions

Learning Topological Representations for Deep Image Understanding


Measuring radio flux density with ds9

Investigating the spectra and physical nature of galaxy scale jets

MeerKAT discovery of radio emission from the Vela X-1 bow shock

MeerKAT's View of the Bullet Cluster 1E 0657-55.8

Radio Sources Segmentation and Classification with Deep Learning


Efficient Sequence Labeling

The Uppsala Corpus of Student Writings: Corpus Creation, Annotation, and Analysis

Part of Speech Tagging: Shallow or Deep Learning?

Northern European Journal of Language Technology

Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling

Audiobook Stylistics: Comparing print and audio in the bestselling segment

SWEGRAM : A Web-Based Tool for Automatic Annotation and Analysis of Swedish Texts

Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain


PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Squeeze-and-Excitation Networks

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Parameter Prediction for Unseen Deep Architectures

`Project & Excite' Modules for Segmentation of Volumetric Medical Scans

Recalibrating 3D ConvNets With Project & Excite

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks


PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation

PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

Accurate Point Cloud Registration with Robust Optimal Transport

Adversarial Self-Supervised Scene Flow Estimation


A Multilingual Replicable Instruction-Following Model

Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction

ChatGPT for Arabic Grammatical Error Correction


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


'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

Distilling the Knowledge in a Neural Network

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

Masked Generative Distillation

From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels

ViTKD: Practical Guidelines for ViT feature knowledge distillation

Rethinking Knowledge Distillation via Cross-Entropy


Untangling in Invariant Speech Recognition

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

A Maturational Frequency Discrimination Deficit May Explain Developmental Language Disorder

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds


Translation of the mtrf-Toolbox for Matlab (see https://github.com/mickcrosse/mTRF-Toolbox).

On the interpretation of weight vectors of linear models in multivariate neuroimaging

The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli

Congruent Visual Speech Enhances Cortical Entrainment to Continuous Auditory Speech in Noise-Free Conditions

The Journal of neuroscience : the official journal of the Society for Neuroscience

Towards obtaining spatiotemporally precise responses to continuous sensory stimuli in humans: A general linear modeling approach to EEG

From pre-processing to advanced dynamic modeling of pupil data


The Dark Sage semi-analytic model

HI constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps

Physical drivers of galaxies' cold-gas content: exploring environmental and evolutionary effects with DARK SAGE

Monthly Notices of the Royal Astronomical Society

The origin of dust in galaxies across cosmic time

Monthly notices of the Royal Astronomical Society

Origin of the galaxy H i size–mass relation

Connecting and dissecting galaxies’ angular momenta and neutral gas in a hierarchical universe: cue Dark Sage

DARK SAGE: Next-generation semi-analytic galaxy evolution with multidimensional structure and minimal free parameters


Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps[AAAI2021]

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

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018


(CVPR 2021) PRTR: Pose Recognition with Cascade Transformers

End-to-End Object Detection with Transformers

Deep High-Resolution Representation Learning for Visual Recognition

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions


Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Backdoor Defense via Decoupling the Training Process

Rethinking the Trigger of Backdoor Attack

Black-box Detection of Backdoor Attacks with Limited Information and Data

Detection of Backdoors in Trained Classifiers Without Access to the Training Set

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks


Code repository for Black Mamba

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

BlackMamba: Mixture of Experts for State-Space Models


FactSumm: Factual Consistency Scorer for Abstractive Summarization

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Assessing The Factual Accuracy of Generated Text

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection

Multiple View Summarization Framework for Social Media

The International FLAIRS Conference Proceedings

Know When To Stop: A Study of Semantic Drift in Text Generation


Automatic Prompt Optimization with "Gradient Descent" and Beam Search

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine


Accurate Species Tree EstimatoR: a family of optimation algorithms for species tree inference (including ASTRAL & CASTER)

ASTRAL-Pro 2: ultrafast species tree reconstruction from multi-copy gene family trees

Phylogenomic Coalescent Analyses of Avian Retroelements Infer Zero-Length Branches at the Base of Neoaves, Emergent Support for Controversial Clades, and Ancient Introgressive Hybridization in Afroaves

Phylogenomic branch length estimation using quartets


[EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering

TVQA+: Spatio-Temporal Grounding for Video Question Answering

On Modality Bias in the TVQA Dataset

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

AssistSR: Affordance-centric Question-driven Video Segment Retrieval

Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels

Trying Bilinear Pooling in Video-QA


ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation

Exploring the taxonomic and functional diversity of marine benthic micro-Eukaryotes along the Red Sea coast of Jeddah city


Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

Knowledge Enhanced Reflection Generation for Counseling Dialogues

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Analyzing Stereotypes in Generative Text Inference Tasks

Dual Task Framework for Improving Persona-grounded Dialogue Dataset

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

CLICK: Integrating Causal Inference and Commonsense Knowledge Incorporation for Counterfactual Story Generation


DRUMMER: Detection of RNA modifications in nanopore direct RNA Sequencing datasets

Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing

DRUMMER—rapid detection of RNA modifications through comparative nanopore sequencing

Dissecting the effects of METTL3 on alternative splicing in prostate cancer


Dataset and baseline for the first Audiocaption task

Clotho: An Audio Captioning Dataset

Audio Caption: Listen and Tell

International Conference on Acoustics, Speech, and Signal Processing

Audio Caption in a Car Setting with a Sentence-Level Loss

What does a Car-ssette tape tell?


UnifiedQA: Crossing Format Boundaries With a Single QA System

Instruction Tuning for Large Language Models: A Survey

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

PROST: Physical Reasoning of Objects through Space and Time

Memory-efficient Transformers via Top-k Attention

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

Single-dataset Experts for Multi-dataset Question Answering

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

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

Factual and Informative Review Generation for Explainable Recommendation


R package for plotting Whittaker biomes with ggplot2

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

Climate change and elevated CO2 favor forest over savanna under different future scenarios in South Asia

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

C4 trees have a broader niche than their close C3 relatives


Shiny apps for NGS etc based on reusable components created using Shiny modules

iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data

Omics Playground: a comprehensive self-service platform for visualization, analytics and exploration of Big Omics Data

Gaining insights from RNA-Seq data using iDEP

WIlsON: Web-based Interactive Omics VisualizatioN

Establishment of the TALE-code reveals aberrantly activated homeobox gene PBX1 in Hodgkin lymphoma

Aberrant expression of NKL homeobox genes HMX2 and HMX3 interferes with cell differentiation in acute myeloid leukemia

Genomic Aberrations Generate Fusion Gene FOXK2::TP63 and Activate NFKB1 in Cutaneous T-Cell Lymphoma


ASP planning tools for PDDL

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Answer Set Planning: A Survey

On Model Reconciliation: How to Reconcile When Robot Does not Know Human's Model?

Discovering and Proving Invariants in Answer Set Programming and Planning

LPOP: Challenges and Advances in Logic and Practice of Programming


SmalL bUt Complete GROne Synthesizer

Correct-by-synthesis reinforcement learning with temporal logic constraints

A High-Level LTL Synthesis Format: TLSF v1.0

The first reactive synthesis competition (SYNTCOMP 2014)

International Journal on Software Tools for Technology Transfer (STTT)

An Automaton Learning Approach to Solving Safety Games over Infinite Graphs

Performance Heuristics for GR(1) Synthesis and Related Algorithms

Low-Effort Specification Debugging and Analysis

Dynamics-Based Reactive Synthesis and Automated Revisions for High-Level Robot Control


Finite element methods for electronic structure calculations on small systems

A review on non‐relativistic, fully numerical electronic structure calculations on atoms and diatomic molecules

International Journal of Quantum Chemistry

Hartree--Fock and hybrid density functional theory calculations of static properties at the complete basis set limit via finite elements. I. Atoms

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

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

Meta-GGA Density Functional Calculations on Atoms with Spherically Symmetric Densities in the Finite Element Formalism

Atomic Electronic Structure Calculations with Hermite Interpolating Polynomials

Insight on Gaussian Basis Set Truncation Errors in Weak to Intermediate Magnetic Fields with an Approximate Hamiltonian


Multiscale Point Cloud Geometry Compression

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression


TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

User-friendly Comparison of Similarity Algorithms on Wikidata


a fast uniform random tree generator

A Quantitative Study of Pure Parallel Processes

The Combinatorics of Barrier Synchronization


Model Predictive Control for Quadrotors with extension to Perception-Aware MPC

PAMPC: Perception-Aware Model Predictive Control for Quadrotors

Towards Fully Autonomous UAVs: A Survey

Model Predictive Control for Micro Aerial Vehicles: A Survey

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection


非常全的文言文（古文）-现代文平行语料

Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision


Unbiased Learning To Rank Algorithms (ULTRA)

Multileave Gradient Descent for Fast Online Learning to Rank

Unbiased Learning to Rank: Online or Offline?

Efficient Exploration of Gradient Space for Online Learning to Rank

A Large Scale Search Dataset for Unbiased Learning to Rank

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

Model-based Unbiased Learning to Rank

The Role of Relevance in Fair Ranking

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Whole Page Unbiased Learning to Rank

CIR at the NTCIR-17 ULTRE-2 Task


Turbospectrum v20 with NLTE capability

Observational constraints on the origin of the elements. VII. NLTE analysis of Y II lines in spectra of cool stars and implications for Y as a Galactic chemical clock

Combined analysis of stellar and planetary absorption lines via global forward-transit simulations

Observational constraints on the origin of the elements. VIII. Constraining the Barium, Strontium and Yttrium chemical evolution in metal-poor stars

Titans metal-poor reference stars II. Red giants and CEMP stars


A dataset of 15 million CAD sketches with geometric constraint graphs.

SketchGen: Generating Constrained CAD Sketches

SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design

Geometric Deep Learning for Computer-Aided Design: A Survey


Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE

A Survey on Self-Supervised Representation Learning


MCMC parameter sampling code

Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Observatory

Is there really a Hubble tension?

Tensions between direct measurements of the lens power spectrum from Planck data

Quantifying concordance of correlated cosmological data sets

H_0 Reconstruction with Type Ia Supernovae, Baryon Acoustic Oscillation and Gravitational Lensing Time-Delay

Lensing covariance on cut sky and SPT-Planck lensing tensions

Concerns about the reliability of publicly available SNe Ia data

Lens covariance effects on likelihood analyses of CMB power spectra

Current small-scale CMB constraints to axionlike early dark energy

Phantom fluid cosmology: Impact of a phantom hidden sector on cosmological observables


[AAAI 2021] Sequential End-to-end Network for Efficient Person Search

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Gallery Filter Network for Person Search


Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)

Semantic-based Pre-training for Dialogue Understanding

Text Generation Model Enhanced with Semantic Information in Aspect Category Sentiment Analysis

Findings of the Association for Computational Linguistics: ACL 2023

Bridging Semantic Frameworks: mapping DRS onto AMR

International Conference on Computational Semantics


Target / Integrative Genetic Element Retriever: precisely maps IGEs (a defined type of genomic island) in bacterial and archaeal genomes; package also includes orthogonal program Islander

New candidates for regulated gene integrity revealed through precise mapping of integrative genetic elements

Helper-embedded satellites from an integrase clade that repeatedly targets prophage late genes

Precise mapping of new group I introns in tRNA genes


A flexible framework for anomaly detection in astronomy.

Astronomaly: Personalised active anomaly detection in astronomical data

Unsupervised machine learning for transient discovery in deeper, wider, faster light curves

A unique, ring-like radio source with quadrilateral structure detected with machine learning


VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.

Commonality despite exceptional diversity in the baseline human antibody repertoire

Tailored Immunogens Direct Affinity Maturation toward HIV Neutralizing Antibodies

HIV Envelope Glycoform Heterogeneity and Localized Diversity Govern the Initiation and Maturation of a V2 Apex Broadly Neutralizing Antibody Lineage

Reprogramming the antigen specificity of B cells using genome-editing technologies

Rapid and Focused Maturation of a VRC01-Class HIV Broadly Neutralizing Antibody Lineage Involves Both Binding and Accommodation of the N276-Glycan

Landscape of Non-canonical Cysteines in Human VH Repertoire Revealed by Immunogenetic Analysis

Epigenetic Enhancer Marks and Transcription Factor Binding Influence Vκ Gene Rearrangement in Pre-B Cells and Pro-B Cells

Massively scalable genetic analysis of antibody repertoires

Systems Biology Methods Applied to Blood and Tissue for a Comprehensive Analysis of Immune Response to Hepatitis B Vaccine in Adults


Estimating PV array location and orientation from real-world power datasets.


Eclipsing Binary Modeling Software

ELISa: A new tool for fast modelling of eclipsing binaries

Automatic classification of eclipsing binary stars using deep learning methods

V680 Mon - a young mercury-manganese star in an eclipsing heartbeat system

Light curve modelling of close eclipsing binaries

Contributions of the Astronomical Observatory Skalnaté Pleso

PHOTOMETRIC ANALYSIS OF ECLIPSING BINARIES: VY UMI, RU UMI AND GSC 04364-00648


Speech enhancement system for the CHiME-5 dinner party scenario

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription

GPU-accelerated Guided Source Separation for Meeting Transcription


Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey

Publications of the Astronomical Society of Japan

KiDS+GAMA: Cosmology constraints from a joint analysis of cosmic shear,
  galaxy-galaxy lensing and angular clustering

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Cosmic shear measurements with Dark Energy Survey Science Verification data

Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing


Example Application for Microservice API Patterns (MAP) and other patterns (DDD, PoEAA, EIP)

A Modeling Method for Systematic Architecture Reconstruction of Microservice-Based Software Systems

Lecture notes in business information processing

EuroPLoP - Interface Responsibility Patterns: Processing Resources and Operation Responsibilities

European Conference on Pattern Languages of Programs

Detector-based component model abstraction for microservice-based systems

Zenodo (CERN European Organization for Nuclear Research)

Data-Oriented Interface Responsibility Patterns

Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors

Evaluation of API Request Bundling and its Impact on Performance of Microservice Architectures

Avoiding Excessive Data Exposure Through Microservice APIs

Combining API Patterns in Microservice Architectures: Performance and Reliability Analysis

Conformance assessment of Architectural Design Decisions on API endpoint designs derived from domain models


H2O.ai Machine Learning Interpretability Resources

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Question-Driven Design Process for Explainable AI User Experiences

On the Art and Science of Machine Learning Explanations


This is the documentation repository for ongoing releases to the NDA collection 3165.  Please add GitHub Issues here for requests or feedback.

Reproducible brain-wide association studies require thousands of individuals

Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and Utilities

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence

Predicting depression risk in early adolescence via multimodal brain imaging


This repository supports epidemiological and disease-dynamic analyses of data from the REal Time Assessment of Community Transmission (REACT) study. It includes both code and data. For code-related enquiries please contact Oliver Eales: oliver.eales@unimelb.edu.au

Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant

Rapid increase in Omicron infections in England during December 2021: REACT-1 study

Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people

Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England

Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number

Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys

Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study

Local prevalence of transmissible SARS-CoV-2 infection : an integrative causal model for debiasing fine-scale targeted testing data


LSMS is a code for scalable first principles calculations of materials using multiple scattering theory.

Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

Machine Learning: Science and Technology

Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials


Interactive Studio for Explanatory Model Analysis

The Grammar of Interactive Explanatory Model Analysis


Thot toolkit for statistical machine translation

The New Thot Toolkit for Fully-Automatic and Interactive Statistical Machine Translation

Conference of the European Chapter of the Association for Computational Linguistics

Online Learning for Statistical Machine Translation

International Conference on Computational Logic

Online Automatic Post-editing for MT in a Multi-Domain Translation Environment

Automatic Post-Editing for Machine Translation

Instance Selection for Online Automatic Post-Editing in a multi-domain scenario

Conference of the Association for Machine Translation in the Americas


A quasi-deterministic (Q-D) channel implementation in MATLAB software

Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

Information Theory and Applications Workshop

On the Real Experimentation and Simulation Models for Millimeter-Wave

A Full-Stack Open-Source Framework for Antenna and Beamforming Evaluation in mmWave 5G NR


[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

A Large-Scale Study of ML-Related Python Projects


UCLALES-SALSA is a Large-Eddy model coupled with a detailed sectional microphysics module for aerosol, clouds and precipitation

Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA

Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA

Parameterising cloud base updraft velocity of marine stratocumuli


Approximating Continuous Functions on Persistence Diagrams Using Template Functions

Adaptive Partitioning for Template Functions on Persistence Diagrams

International Conference on Machine Learning and Applications

ANAPT: Additive Noise Analysis for Persistence Thresholding

Pattern characterization using topological data analysis: Application to piezo vibration striking treatment


Instructed Glacier Model (IGM)

Committed Ice Loss in the European Alps Until 2050 Using a Deep‐Learning‐Aided 3D Ice‐Flow Model With Data Assimilation

Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'


Malleable Load Balancer. Massively Parallel Logic Backend. Award-winning SAT solving for the cloud.

Scalable SAT Solving in the Cloud

Decentralized Online Scheduling of Malleable NP-hard Jobs

Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers

Tools and Algorithms for the Construction and Analysis of Systems


LibOPT is an optimization library developed in C language for the development of meta-heuristic-based techniques.

A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines

LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques

A nature-inspired feature selection approach based on hypercomplex information


ETL-CDMBuilder is a repo containing a .NET Core application to perform ETL to OMOP CDM for multiple databases

Improving reproducibility by using high-throughput observational studies with empirical calibration

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

Imputation and characterization of uncoded self-harm in major mental illness using machine learning

Journal of the American Medical Informatics Association : JAMIA

Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models

A systematic approach to improving the reliability and scale of evidence from health care data


Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing

A comparative study on machine learning approaches for rock mass
  classification using drilling data


Matlab implementations of Gaussian processes and other machine learning tools.

MOGPTK: The Multi-Output Gaussian Process Toolkit

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

International Conference on Robotics and Automation

Fast approximate Bayesian computation for estimating parameters in differential equations

Short-term time series prediction using Hilbert space embeddings of autoregressive processes

Indian Buffet process for model selection in convolved multiple-output Gaussian processes


YMIR, a streamlined model development product.

Deep Active Learning for Computer Vision: Past and Future

ALBench: A Framework for Evaluating Active Learning in Object Detection

YMIR: A Rapid Data-centric Development Platform for Vision Applications


Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

A Survey on Text Classification: From Shallow to Deep Learning

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Label Disentanglement in Partition-based Extreme Multilabel Classification

Probabilistic Label Trees for Extreme Multi-label Classification

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

A Survey on Extreme Multi-label Learning

Cluster-Guided Label Generation in Extreme Multi-Label Classification

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models".

Knowledge Fusion of Large Language Models

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs


Optimizing inference proxy for LLMs

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Chain-of-Thought Reasoning Without Prompting

Mixture-of-Agents Enhances Large Language Model Capabilities

In-Context Principle Learning from Mistakes

Re-Reading Improves Reasoning in Large Language Models

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference
  Learning

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Prover-Verifier Games improve legibility of LLM outputs


Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement

Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement.

TENET: A Time-reversal Enhancement Network for Noise-robust ASR


MUMmer for HPC

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

MinCall - MinION end2end convolutional deep learning basecaller

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

Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design


Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series

Latent SDEs on Homogeneous Spaces

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data


Source code of PivotNet (ICCV2023, PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction)

MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction

Is Your HD Map Constructor Reliable under Sensor Corruptions?


A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Deep learning for time series classification: a review

Pre-trained models for natural language processing: A survey

Attention mechanisms in computer vision: A survey

Time-series forecasting with deep learning: a survey

Transformers in Time Series: A Survey

Deep Learning for Time Series Forecasting: A Survey

Attention, please! A survey of neural attention models in deep learning

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography


PyTorch implementation of GAIL and AIRL based on PPO.

Proximal Policy Optimization Algorithms

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

Soft Actor-Critic Algorithms and Applications

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning


(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.

Zero-Round Active Learning

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


Perl script for simulating PCR reactions. Extract sequences from a query based on primer sequences.

The Population Structure of Pseudomonas aeruginosa Is Characterized by Genetic Isolation of exoU+ and exoS+ Lineages

The global emergence of a novel Streptococcus suis clade associated with human infections

RibDif: can individual species be differentiated by 16S sequencing?

Characterization of Hemerocallis citrina Transcriptome and Development of EST-SSR Markers for Evaluation of Genetic Diversity and Population Structure of Hemerocallis Collection

Identification and Differentiation of Pseudomonas Species in Field Samples Using an rpoD Amplicon Sequencing Methodology

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

The natural product biosynthesis potential of the microbiomes of Earth – Bioprospecting for novel anti-microbial agents in the meta-omics era

Computational and structural biotechnology journal

High Occurrence of Shiga Toxin-Producing Escherichia coli in Raw Meat-Based Diets for Companion Animals—A Public Health Issue

Molecular Typing of Ukrainian Bacillus anthracis Strains by Combining Whole-Genome Sequencing Techniques

Phylogenomic Analysis of Campylobacter fetus Reveals a Clonal Structure of Insertion Element ISCfe1 Positive Genomes


The Marginal Value of Adaptive Gradient Methods in Machine Learning

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

Disentangling Adaptive Gradient Methods from Learning Rates

Multi-Grained Chinese Word Segmentation

Empirical Methods in Natural Language Processing

A Streaming Approach For Efficient Batched Beam Search

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


Codebase for testing whether hidden states of neural networks encode discrete structures.

A Structural Probe for Finding Syntax in Word Representations

North American Chapter of the Association for Computational Linguistics

Emergent linguistic structure in artificial neural networks trained by self-supervision

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

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART


Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph Neural Network for Traffic Forecasting: A Survey

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs


AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Multiplex Heterogeneous Graph Convolutional Network

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

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing


Complete analysis pipeline for PAR-CLIP data

Deciphering human ribonucleoprotein regulatory networks

ELAVL1 Primarily Couples mRNA Stability with the 3’UTRs of Interferon Stimulated Genes

A non-radioactive, improved PAR-CLIP and small RNA cDNA library preparation protocol.

Global identification of functional microRNA::mRNA interactions in Drosophila

NONO enhances mRNA processing of super-enhancer-associated GATA2 and HAND2 genes in neuroblastoma

clipplotr-a comparative visualization and analysis tool for CLIP data

Keratin 19 binds and regulates cytoplasmic HNRNPK mRNA targets in triple-negative breast cancer


De novo VIral Genome Annotator

Phage Annotation Guide: Guidelines for Assembly and High-Quality Annotation

Isolation of a Novel Jumbo Bacteriophage Effective Against Klebsiella aerogenes

VIGA: a sensitive, precise and automatic de novo VIral Genome Annotator

Bacteriophages Roam the Wheat Phyllosphere


[NeurIPS2022] Egocentric Video-Language Pretraining

Egocentric Video-Language Pretraining

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022


Student Classroom Behavior dataset

SCB-dataset: A Dataset for Detecting Student Classroom Behavior

SCB-Dataset3: A Benchmark for Detecting Student Classroom Behavior

Student Classroom Behavior Detection based on YOLOv7-BRA and Multi-Model Fusion

Student Classroom Behavior Detection based on Improved YOLOv7


The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an issue if you run into any trouble!

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval


This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

Quaternion Recurrent Neural Networks

Quaternion Convolutional Neural Networks for Heterogeneous Image Processing

Clifford Neural Layers for PDE Modeling

Compressing deep quaternion neural networks with targeted regularization

CAAI Transactions on Intelligence Technology

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Speech recognition with quaternion neural networks

Learning Speech Emotion Representations in the Quaternion Domain

Quaternion Convolutional Neural Networks: Current Advances and Future Directions

Real to H-space Encoder for Speech Recognition


Open dataset of machine extracted buildings in Uganda and Tanzania

Classifying settlement types from multi-scale spatial patterns of building footprints

Environment and Planning B: Urban Analytics and City Science

Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment at Thirty Refugee Settlements in Uganda

Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment of Area, Accuracy, and Agreement at Thirty Refugee Settlements in Uganda


This is a one-off Nextstrain build for SARS-like coronaviruses

Molecular immune pathogenesis and diagnosis of COVID-19

The SARS-CoV-2 Coronavirus and the COVID-19 Outbreak

International braz j urol : official journal of the Brazilian Society of Urology

Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools


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

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

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

LogShield: A Transformer-based APT Detection System Leveraging Self-Attention

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

Local2Global: a distributed approach for scaling representation learning on graphs

Malicious Cyber Activity Detection using Zigzag Persistence


Intent Contrastive Learning for Sequential Recommendation

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

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

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

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


A dataset of millions of news articles scraped from a curated list of data sources.

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Capturing the Style of Fake News

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

Content-based features predict social media influence operations

Context-Aware Misinformation Detection: A Benchmark of Deep Learning Architectures Using Word Embeddings

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

Humanities and Social Sciences Communications

Dataset of Fake News Detection and Fact Verification: A Survey

A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017

Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web

Tanbih: Get To Know What You Are Reading

No Calm in The Storm: Investigating QAnon Website Relationships


Structural variant merging tool

Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa

Population Structure, Stratification, and Introgression of Human Structural Variation

Genome and haplotype provide insights into the population differentiation and breeding improvement of Gossypium barbadense

Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project


This is a R-based package for performing a range of delay discounting analyses and procedures.

An alternative approach to calculating Area‐Under‐the‐Curve (AUC) in delay discounting research

Journal of the experimental analysis of behavior

Accurate characterization of delay discounting: a multiple model approach using approximate Bayesian model selection and a unified discounting measure.

The discounting model selector: Statistical software for delay discounting applications.

Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research


COmmon COordinate FRAMEwork in R

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

Mesoscale microscopy and image analysis tools for understanding the brain

Progress in biophysics and molecular biology

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


BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Neural Networks with Few Multiplications

An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks


[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

Making Pre-trained Language Models Better Few-shot Learners

NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

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

Towards Unified Prompt Tuning for Few-shot Text Classification

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

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Revisiting k-NN for Fine-tuning Pre-trained Language Models


code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.


Model Zoo of BDD100K Dataset

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

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


Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Recognition in Terra Incognita

HYPO: Hyperspherical Out-of-Distribution Generalization


Estimate the autocorrelation time of time-series data very quickly

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

CosmoHammer: Cosmological parameter estimation with the MCMC Hammer

Comparison of sampling techniques for Bayesian parameter estimation

Monthly Notices of the Royal Astronomical Society

INFERRING THE GRAVITATIONAL POTENTIAL OF THE MILKY WAY WITH A FEW PRECISELY MEASURED STARS

K2-264: a transiting multiplanet system in the Praesepe open cluster

Monthly notices of the Royal Astronomical Society

The First Day in the Life of a Magnetar: Evolution of the Inclination Angle, Magnetic Dipole Moment, and Braking Index of Millisecond Magnetars during Gamma-Ray Burst Afterglows

Spitzer transit follow-up of planet candidates from the K2 mission

K2-288Bb: A Small Temperate Planet in a Low-mass Binary System Discovered by Citizen Scientists

A multi-scale sub-voxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data

Bayes Factors via Savage-Dickey Supermodels


Speech Recognition with the Caffe deep learning framework, migrating to

Deep Speech: Scaling up end-to-end speech recognition

A Clockwork RNN

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

Building DNN Acoustic Models for Large Vocabulary Speech Recognition

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks


PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (https://arxiv.org/abs/2105.03814).

A Modern Primer on Processing in Memory

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System

Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware

Casper: Accelerating Stencil Computations Using Near-Cache Processing

Casper: Accelerating Stencil Computation using Near-cache Processing

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures

EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators

DaPPA: A Data-Parallel Framework for Processing-in-Memory Architectures


Distributed K-FAC Preconditioner for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

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

Convolutional Neural Network Training with Distributed K-FAC

KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS


Real-world Noisy Image Denoising: A New Benchmark

Noisy Tensor Completion via Low-rank Tensor Ring

Window-aware guided image filtering via local entropy

A Simple Denoising Algorithm for Real-World Noisy Camera Images

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser


Implementation for "Large-scale Pretraining for Visual Dialog"  https://arxiv.org/abs/1912.02379

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions

Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms

Proceedings of the 25th Conference on Computational Natural Language Learning

Modeling Coreference Relations in Visual Dialog


Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing

Model-Powered Conditional Independence Test

CCMI : Classifier based Conditional Mutual Information Estimation

Diffeomorphic Information Neural Estimation

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection


code for model-targeted poisoning

Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Model-Targeted Poisoning Attacks with Provable Convergence

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

Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds.


DBAT - The Damped Bundle Adjustment toolbox for Matlab

Bundle Adjustment With and Without Damping

Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry

MITIGATING IMAGE RESIDUALS SYSTEMATIC PATTERNS IN UNDERWATER PHOTOGRAMMETRY

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

Camera Calibration using the Damped Bundle Adjustment Toolbox

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

COMPARISON OF DIVER-OPERATED UNDERWATER PHOTOGRAMMETRIC SYSTEMS FOR CORAL REEF MONITORING

BUNDLE ADJUSTMENT WITH POLYNOMIAL POINT-TO-CAMERA DISTANCE DEPENDENT CORRECTIONS FOR UNDERWATER PHOTOGRAMMETRY

Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations

Photogrammetric Engineering and Remote Sensing

EXTERNAL VERIFICATION OF THE BUNDLE ADJUSTMENT IN PHOTOGRAMMETRIC SOFTWARE USING THE DAMPED BUNDLE ADJUSTMENT TOOLBOX

Reprocessing Close Range Terrestrial and UAV Photogrammetric Projects with the DBAT Toolbox for Independent Verification and Quality Control

EXPERIMENTS WITH METADATA-DERIVED INITIAL VALUES AND LINESEARCH BUNDLE ADJUSTMENT IN ARCHITECTURAL PHOTOGRAMMETRY


[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

Knowledge Distillation with the Reused Teacher Classifier

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers


Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Play and Prune: Adaptive Filter Pruning for Deep Model Compression

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

IEEE International Symposium on High-Performance Parallel Distributed Computing

Transfer Learning for Performance Modeling of Deep Neural Network Systems


Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

OODformer: Out-Of-Distribution Detection Transformer

An Effective Baseline for Robustness to Distributional Shift

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Towards Accurate Open-Set Recognition via Background-Class Regularization

Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder

Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection


iBKH: The integrative Biomedical Knowledge Hub

From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs

medRxiv : the preprint server for health sciences

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises


C++ Implementation of the Information Bottleneck System

Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings

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

BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications.


This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

EmpHi: Generating Empathetic Responses with Human-like Intents

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


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


Bash script to download/update snapshots of files from NCBI genomes repository (refseq/genbank) with track of changes and without redundancy

Analysis of genomes of bacterial isolates from lameness outbreaks in broilers

Daily Reports on Phage-Host Interactions

DeepMicrobeFinder Sorts Metagenomes into Prokaryotes, Eukaryotes and Viruses, with Marine Applications

Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples

Molecular Genomic Analyses of Enterococcus cecorum from Sepsis Outbreaks in Broilers

Prospecting for Zoonotic Pathogens by Using Targeted DNA Enrichment

Kraken2 Human Pangenome Reference Consortium database

Zenodo (CERN European Organization for Nuclear Research)

Mycobacterium genus database

Mycobacterium representative kraken2 database


This is the main repo for Penglai.


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

AIM 2020: Scene Relighting and Illumination Estimation Challenge

VIDIT: Virtual Image Dataset for Illumination Transfer

NTIRE 2021 Depth Guided Image Relighting Challenge

SA-AE for Any-to-Any Relighting


PyContinual (An Easy and Extendible Framework for Continual Learning)

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks

Continual Pre-training of Language Models

Continual Learning of Natural Language Processing Tasks: A Survey

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks

Continual Learning with Knowledge Transfer for Sentiment Classification

Continual Training of Language Models for Few-Shot Learning

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks


PromptCBLUE: a large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain in Chinese

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Datasets for Large Language Models: A Comprehensive Survey

MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models

Overview of the PromptCBLUE Shared Task in CHIP2023

Text2MDT: Extracting Medical Decision Trees from Medical Texts

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models
  with Sparse Mixture of Low-Rank Adapter Experts


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

SEGAN: Speech Enhancement Generative Adversarial Network

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

Speech Denoising with Deep Feature Losses

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

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

Restoring speech intelligibility for hearing aid users with deep learning

Deep Xi as a Front-End for Robust Automatic Speech Recognition

Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network

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

Sum-Product Networks for Robust Automatic Speaker Recognition.


Population assignment analysis using R

Applications of random forest feature selection for fine-scale genetic population assignment

Seascape genomics of eastern oyster (Crassostrea virginica) along the Atlantic coast of Canada

Assessing the potential of genotyping‐by‐sequencing‐derived single nucleotide polymorphisms to identify the geographic origins of intercepted gypsy moth (Lymantria dispar) specimens: A proof‐of‐concept study

Single Nucleotide Polymorphisms (SNPs) Reveal Sibship Among Founders of a Bangladeshi Rohu (Labeo rohita) Breeding Population


Identification of Klebsiella capsule synthesis loci from whole genome data

Kaptive Web: User-Friendly Capsule and Lipopolysaccharide Serotype Prediction for Klebsiella Genomes

Identification of Acinetobacter baumannii loci for capsular polysaccharide (KL) and lipooligosaccharide outer core (OCL) synthesis in genome assemblies using curated reference databases compatible with Kaptive

Kaptive 2.0: updated capsule and lipopolysaccharide locus typing for the Klebsiella pneumoniae species complex

Emergence of ST11-K47 and ST11-K64 hypervirulent carbapenem-resistant Klebsiella pneumoniae in bacterial liver abscesses from China: a molecular, biological, and epidemiological study

Genomic dissection of Klebsiella pneumoniae infections in hospital patients reveals insights into an opportunistic pathogen

Molecular Characterization of Carbapenem Resistant Klebsiella pneumoniae and Klebsiella quasipneumoniae Isolated from Lebanon

The Occurence of Colistin-Resistant Hypervirulent Klebsiellapneumoniae in China

An update to the database for Acinetobacter baumannii capsular polysaccharide locus typing extends the extensive and diverse repertoire of genes found at and outside the K locus

Carbapenemase-Producing Klebsiella pneumoniae From Transplanted Patients in Brazil: Phylogeny, Resistome, Virulome and Mobile Genetic Elements Harboring blaKPC–2 or blaNDM–1


Tensorflow implementation of a Neural Turing Machine

Neural Turing Machines

Implementing Neural Turing Machines

Learning to Remember More with Less Memorization

Memory and attention in deep learning


Spike sorter for electrophysiology data

Flexible timing by temporal scaling of cortical responses

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

Cortical preparatory activity indexes learned motor memories

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

Reinforcement regulates timing variability in thalamus


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


CVPR 2022 VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations

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

BallGAN: 3D-aware Image Synthesis with a Spherical Background

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase


Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.

DP-cryptography

UN Handbook on Privacy-Preserving Computation Techniques

Usable Differential Privacy: A Case Study with PSI

A systematic overview on methods to protect sensitive data provided for various analyses

International Journal of Information Security

A Statistical Overview on Data Privacy

Evaluation of Open-source Tools for Differential Privacy


:mouse: :left_right_arrow: :couple:   An r package that works as a wrapper to homologene

Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data

Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex

Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes

Short-term exposure to intermittent hypoxia leads to changes in gene expression seen in chronic pulmonary disease

The Development of Mechanical Allodynia in Diabetic Rats Revealed by Single-Cell RNA-Seq

Risk‐Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries

Comparison of Gene Expression Responses in the Small Intestine of Mice Following Exposure to 3 Carcinogens Using the S1500+ Gene Set Informs a Potential Common Adverse Outcome Pathway


The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch

Deep Residual Learning for Image Recognition

Deep Pyramidal Residual Networks

Shake-Shake regularization

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads


Matlab routines for online non-rigid motion correction of calcium imaging data

Negative feedback control of neuronal activity by microglia

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

Two-photon imaging of neuronal activity in motor cortex of marmosets during upper-limb movement tasks

SpecSeg is a versatile toolbox that segments neurons and neurites in chronic calcium imaging datasets based on low-frequency cross-spectral power

Voltage dynamics of dendritic integration and back-propagation in vivo.

bioRxiv : the preprint server for biology

Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans

STARDUST: a pipeline for the unbiased analysis of astrocyte regional calcium dynamics.

Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region


Heavy Workload on Reviewing Papers?  ReviewAdvisor Helps out

Can We Automate Scientific Reviewing?

Artificial intelligence technologies to support research assessment: A review

AcademicGPT: Empowering Academic Research


R data package for pre-compiled somatic mutations from TCGA cohorts and CCLE

Maftools: efficient and comprehensive analysis of somatic variants in cancer

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

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

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

CRUX, a platform for visualising, exploring and analysing cancer genome cohort data


Linguistic Reconstruction with LingPy

Automatic Inference of Sound Correspondence Patterns across Multiple Languages

Computer-Assisted Language Comparison: State of the Art

Reflex prediction

Automated identification of borrowings in multilingual wordlists

Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists


SIGMORPHON 2020 Shared Task: Grapheme-to-Phoneme, Unsupervised Induction of Morphology, and Typologically Diverse Morphological Inflection

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion

Special Interest Group on Computational Morphology and Phonology Workshop

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies

International Joint Conference on Natural Language Processing

Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model

Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion

Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems

Back-Transliteration of English Loanwords in Japanese

Proceedings of the Workshop on Computation and Written Language (CAWL 2023)


Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

Arabic Text Diacritization Using Deep Neural Networks

Multi-components System for Automatic Arabic Diacritization

Automatic Methods and Neural Networks in Arabic Texts Diacritization: A Comprehensive Survey

Automatic Restoration of Diacritics for Speech Data Sets

A Context-Contrastive Inference Approach To Partial Diacritization


Strong baseline for visual question answering

Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

Explicit Bias Discovery in Visual Question Answering Models

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis


python tools to check recourse in linear classification

Actionable Recourse in Linear Classification

Proceedings of the Conference on Fairness, Accountability, and Transparency

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Multi-Objective Counterfactual Explanations

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

On Counterfactual Explanations under Predictive Multiplicity

Strategic Classification Made Practical

A Review of the Role of Causality in Developing Trustworthy AI Systems

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

Plug-in Performative Optimization


Entity And RELation mapping

EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs

Message Passing for Complex Question Answering over Knowledge Graphs

IQA: Interactive query construction in semantic question answering systems

Knowledge-based Conversational Search


Robust machine learning for responsible AI

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Margin Calibration for Long-Tailed Visual Recognition

Out-of-Distribution Representation Learning for Time Series Classification

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning


GraphXAI: Resource to support the development and evaluation of GNN explainers

Evaluating Explainability for Graph Neural Networks

Counterfactual Learning on Graphs: A Survey


the hierfstat package

Using Genomic Selection to Leverage Resources among Breeding Programs: Consortium-Based Breeding

Systematics of the Stripetail Darter, Etheostoma kennicotti (Putnam), and the Distinctiveness of the Upper Cumberland Endemic Etheostoma cumberlandicum Jordan and Swain

Population genetic structure of the maize weevil, Sitophilus zeamais, in southern Mexico

Genetic diversity in the IZUMO1-JUNO protein-receptor pair involved in human reproduction

Comparison of genetic variation between rare and common congeners of Dipodomys with estimates of contemporary and historical effective population size


pytorch implementation of fast-neural-style

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models

Rethinking the Pruning Criteria for Convolutional Neural Network

Quantitative Evaluation of Style Transfer


Easy access to NOAA Integrated Surface Database (ISD) surface meteorological observations

Spring Festival and COVID‐19 Lockdown: Disentangling PM Sources in Major Chinese Cities

Visibility as a proxy for air quality in East Africa

Changing supersites: assessing the impact of the southern UK EMEP supersite relocation on measured atmospheric composition

Meteorological Normalisation Using Boosted Regression Trees to Estimate the Impact of COVID-19 Restrictions on Air Quality Levels

International journal of environmental research and public health

Variation of pollution sources and health effects on air pollution before and during COVID-19 pandemic in Linfen, Fenwei Plain


SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'

A Unified Approach to Interpreting Model Predictions

Consistent Individualized Feature Attribution for Tree Ensembles

Explainable AI for Trees: From Local Explanations to Global Understanding

DrugPred_RNA—A Tool for Structure-Based Druggability Predictions for RNA Binding Sites

Journal of chemical information and modeling

Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease

Translation-dependent and -independent mRNA decay occur through mutually exclusive pathways defined by ribosome density during T cell activation


EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

A Question-answering Based Framework for Relation Extraction Validation

Distantly-Supervised Neural Relation Extraction with Side Information using BERT

International Joint Conference on Neural Network


This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

IEEE Transactions on Systems, Man, and Cybernetics: Systems

A greedy feature selection algorithm for Big Data of high dimensionality

A scalable and effective rough set theory-based approach for big data pre-processing

A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique


Dimension reduced surrogate construction for parametric PDE maps

Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Learning high-dimensional parametric maps via reduced basis adaptive residual networks

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators


Constraining the climate and ocean pH of the early Earth with a geological carbon cycle model

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

Evolved Climates and Observational Discriminants for the TRAPPIST-1 Planetary System

Organic Haze as a Biosignature in Anoxic Earth-like Atmospheres

Nitrogen Dioxide Pollution as a Signature of Extraterrestrial Technology

A Limited Habitable Zone for Complex Life

Rethinking CO Antibiosignatures in the Search for Life Beyond the Solar System

Effects of UV Stellar Spectral Uncertainty on the Chemistry of Terrestrial Atmospheres

Runaway climate cooling of ocean planets in the habitable zone: a consequence of seafloor weathering enhanced by melting of high-pressure ice

Monthly notices of the Royal Astronomical Society

Is ozone a reliable proxy for molecular oxygen?

Stellar Activity Effects on Moist Habitable Terrestrial Atmospheres around M Dwarfs


Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software


GuessWhat?! Baselines

GuessWhat?! Visual object discovery through multi-modal dialogue

End-to-end optimization of goal-driven and visually grounded dialogue systems

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Ask No More: Deciding when to guess in referential visual dialogue


A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments

Segmentation Zoo Res-UNet models for Landsat-8 satellite imagery, Coast Train v1 Landsat-8 4-class subset.

Segmentation Zoo UNet models for Landsat-8 satellite imagery, Coast Train v1 Landsat-8 4-class subset.


Python implementation of the Short Term Objective Intelligibility measure

Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

On the Compensation Between Magnitude and Phase in Speech Separation

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

Speech Denoising Without Clean Training Data: A Noise2Noise Approach

Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform

SVTS: Scalable Video-to-Speech Synthesis

Improving speaker de-identification with functional data analysis of f0 trajectories

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery

IEEE Journal on Selected Topics in Signal Processing

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models


A simulation library for Agility Robotics' Cassie robot using MuJoCo

Feedback Control For Cassie With Deep Reinforcement Learning

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition

Adapting Rapid Motor Adaptation for Bipedal Robots

Learning Task Space Actions for Bipedal Locomotion

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning

Validating Robotics Simulators on Real-World Impacts

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal
  Locomotion Control

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads


Symbolic Kinetic Models with Python

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models


A pixel classification based multiplexed image segmentation pipeline

Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions

Breast tumor microenvironment structures are associated with genomic features and clinical outcome

Deep spatial profiling of COVID19 brains reveals neuroinflammation by compartmentalized local immune cell interactions and targets for intervention

Acquired resistance to anti-PD1 therapy in patients with NSCLC associates with immunosuppressive T cell phenotype

PDL1 shapes the classical Hodgkin lymphoma microenvironment without inducing T-cell exhaustion

Characterisation of tumour immune microenvironment remodelling following oncogene inhibition in preclinical studies using an optimised imaging mass cytometry workflow

Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer

Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of oesophagael adenocarcinoma


A modest Feature Finder (moFF) to extract  MS1 intensities from Thermo raw file

The Salivary Protein Repertoire of the Polyphagous Spider Mite Tetranychus urticae: A Quest for Effectors

Understanding Cervical Cancer through Proteomics

Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform

Update on the moFF Algorithm for Label-Free Quantitative Proteomics


Build flexible hierarchical multi-instance learning models.

Using Neural Network Formalism to Solve Multiple-Instance Problems

Discriminative models for multi-instance problems with tree-structure

Nested Multiple Instance Learning in Modelling of HTTP network traffic

Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data


Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

A Survey of Large Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

RoFormer: Enhanced Transformer with Rotary Position Embedding

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

Towards Building the Federated GPT: Federated Instruction Tuning

On the Exploitability of Instruction Tuning

Knowledge Distillation of Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models


Ultra-fast methylation calling and event alignment tool for nanopore sequencing data (supports CUDA acceleration)

Opportunities and challenges in long-read sequencing data analysis

GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis

Fast nanopore sequencing data analysis with SLOW5

Computer Architecture-Aware Optimisation of DNA Analysis Systems


Wrapper to the eBird API


Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline

Unmasking the history of 3C 293 with LOFAR sub-arcsecond imaging

High-resolution international LOFAR observations of 4C~43.15 -- Spectral ages and injection indices in a high-z radio galaxy

Seeing the forest and the trees: A radio investigation of the ULIRG Mrk 273

Subarcsecond view on the high-redshift blazar GB 1508+5714 by the International LOFAR Telescope


N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence

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

Compiling Spiking Neural Networks to Neuromorphic Hardware

Languages, Compilers, and Tools for Embedded Systems

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration

Evaluation of Convolution Primitives for Embedded Neural Networks on 32-bit Microcontrollers

Resilience of Deep Learning applications: a systematic survey of analysis and hardening techniques

SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators


Constraints on the onset duration of the Paleocene–Eocene Thermal Maximum

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

Massive and rapid predominantly volcanic CO2 emission during the end-Permian mass extinction

Zenodo (CERN European Organization for Nuclear Research)

EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model

Iron and sulfur cycling in the cGENIE.muffin Earth system model (v0.9.21)

Data-constrained assessment of ocean circulation changes since the middle Miocene in an Earth system model

Resolving ecological feedbacks on the ocean carbon sink in Earth system models

Variable C∕P composition of organic production and its effect on ocean carbon storage in glacial-like model simulations

Inclusion of a suite of weathering tracers in the cGENIE Earth system model – muffin release v.0.9.23

Anoxic iron and sulphur cycling in the cGENIE.muffin Earth
system model (v0.9.16)

Sensitivity of ocean circulation to warming during the Early Eocene greenhouse


Energy Research and Forecasting Model


Next generation FFT implementation for ROCm

Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures

Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance
  on GPU


Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)

Unsupervised Learning of Debiased Representations with Pseudo-Attributes

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

Learning Debiased Classifier with Biased Committee

Mitigating Dataset Bias by Using Per-sample Gradient

Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias


Learning phrase grounding from captioned images through InfoNCE bound on mutual information

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

Contrastive Learning for Weakly Supervised Phrase Grounding

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Who's Waldo? Linking People Across Text and Images


A python app to predict Att&ck tactics and techniques from cyber threat reports

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Last Line of Defense: Reliability Through Inducing Cyber Threat Hunting With Deception in SCADA Networks

Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild

STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports

Towards Automated Classification of Attackers' TTPs by combining NLP with ML Techniques

Toward Effective Evaluation of Cyber Defense: Threat Based Adversary Emulation Approach


Smartian: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses (ASE '21)

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Explanations can be manipulated and geometry is to blame

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

Learning Low-Rank Approximation for CNNs

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients

A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond

Orthogonal Deep Models as Defense Against Black-Box Attacks


Chinese medical dialogue data 中文医疗对话数据集

A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges

Datasets for Large Language Models: A Comprehensive Survey

Distinct but correct: generating diversified and entity-revised medical response

Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language
  Models


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

Effectiveness of Pre-training for Few-shot Intent Classification

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization


Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

Presence-Only Geographical Priors for Fine-Grained Image Classification

Where you go is who you are: a study on machine learning based semantic privacy attacks